712 results on '"Spatio-temporal distribution"'
Search Results
2. Analysis of spatio-temporal distribution characteristics and socioeconomic drivers of urban air quality in China
- Author
-
Wang, Yazhu, Duan, Xuejun, Liang, Tao, Wang, Lei, and Wang, Lingqing
- Published
- 2022
- Full Text
- View/download PDF
3. Estimating a physiological threshold to oxygen and temperature from marine monitoring data reveals challenges and opportunities for forecasting distribution shifts.
- Author
-
Indivero, Julia, Anderson, Sean C., Barnett, Lewis A. K., Essington, Timothy E., and Ward, Eric J.
- Subjects
- *
SPECIES distribution , *GEOGRAPHICAL distribution of fishes , *ARRHENIUS equation , *FISHERIES , *STATISTICAL models , *BIOCHEMICAL oxygen demand - Abstract
Species distribution modeling is increasingly used to describe and anticipate consequences of a warming ocean. These models often identify statistical associations between distribution and environmental conditions such as temperature and oxygen, but rarely consider the mechanisms by which these environmental variables affect metabolism. Oxygen and temperature jointly govern the balance of oxygen supply to oxygen demand, and theory predicts thresholds below which population densities are diminished. However, parameterizing models with this joint dependence is challenging because of the paucity of experimental work for most species, and the limited applicability of experimental findings in situ. Here we ask whether the temperature‐sensitivity of oxygen can be reliably inferred from species distribution observations in the field, using the U.S. Pacific Coast as a model system. We developed a statistical model that adapted the metabolic index — a compound metric that incorporates these joint effects on the ratio of oxygen supply and oxygen demand by applying an Arrhenius equation — and used a non‐linear threshold function to link the index to fish distribution. Through simulation testing, we found that our statistical model could not precisely estimate the parameters due to inherent features of the distribution data. However, the model reliably estimated an overall metabolic index threshold effect. When applied to case studies of real data for two groundfish species, this new model provided a better fit to spatial distribution of one species, sablefish
Anoplopoma fimbria , than previously used models, but did not for the other, longspine thornyheadSebastolobus altivelis . This physiological framework may improve predictions of species distribution, even in novel environmental conditions. Further efforts to combine insights from physiology and realized species distributions will improve forecasts of species' responses to future environmental changes. [ABSTRACT FROM AUTHOR]- Published
- 2024
- Full Text
- View/download PDF
4. Spatio-Temporal Analysis of Net Anthropogenic Phosphorus Inputs (NAPIs) and Their Impacts in Ningxia Hui Autonomous Region Using Monte Carlo Simulations and Sensitivity Analysis.
- Author
-
Ma, Hua, Liu, Xiaotong, Lei, Qiuliang, Luo, Jiafa, Di, Hongjie, Du, Xinzhong, Zhao, Ying, Zhang, Xuejun, and Liu, Hongbin
- Subjects
PHOSPHATE fertilizers ,MONTE Carlo method ,NONPOINT source pollution ,STATISTICS ,LAND use - Abstract
This study employed the Net Anthropogenic Phosphorus Inputs (NAPI) model to assess the impact of human activities on phosphorus input in a watershed, analyzing county-level statistical data and NAPI model parameters from 1991 to 2020. The Monte Carlo method was used for a quantitative analysis of the model parameters' effects on each NAPI component and the overall simulation results. The sensitivity index method identified each component's sensitive parameters. The study found that the lowest NAPI value was 454 kg/(km
2 ·a) in 1991 and the highest was 1336 kg/(km2 ·a) in 2003. NAPI in Ningxia showed an overall upward trend from 1991 to 1999, a slight decrease from 1999 to 2003, and a slight increase from 2003 to 2020, with fertilizer being the main contributing factor, accounting for 77.4% of the total input. On a spatial scale, NAPI in Ningxia was significantly correlated with land use patterns, showing higher values in the northern and southern regions compared to the central part. The NAPI values derived from Monte Carlo simulations with appropriate parameters ranged from −24.83% to 31.49%. The study highlighted the net food and feed imports component as having the highest uncertainty, impacting simulation results within a range of −23.89% to 53.98%. It was observed that the larger a component's proportion in the NAPI model, the more sensitive its parameters, with the phosphorus fertilizer (Pfer ) component's parameters being notably more sensitive than those of the food/feed phosphorus input and the non-food phosphorus input (Pnf ) components. These findings can inform phosphorus pollution control policies in Northwest China, while the selection of sensitive parameters provides a useful reference for future NAPI research in other regions. [ABSTRACT FROM AUTHOR]- Published
- 2024
- Full Text
- View/download PDF
5. Analysis of the spatio-temporal distribution characteristics and influencing factors of charging station load.
- Author
-
Wang, Y., Zhang, Z., Zhang, Q., Wang, R., and Gong, D.
- Subjects
- *
ELECTRIC vehicle industry , *INFORMATION networks , *SPATIAL variation , *ELECTRIC vehicles , *CONSUMERS - Abstract
Over the past decade, as consumers have gradually adapted to electric vehicles, the production and sales of electric vehicles have grown in tandem, and the deployment of charging facilities has increased dramatically. However, along with the rapid development in scale, charging facilities face problems such as low utilisation during off-peak hours and excessive congestion during peak hours. Therefore, research on the spatial and temporal distribution of charging station loads is of great value. In this context, this study focuses on the spatio-temporal distribution characteristics of charging station loads, especially when analysing the spatial distribution characteristics. This study defines the spatially dependent characteristics of short and long distance. In order to be closer to real charging scenarios, this study considers the influence of road network information and point-of-interest data on the spatial distribution of loads. The spatial and temporal variations of loads and influencing factors are considered more comprehensively and richly, and the spatial characteristics are delineated in detail. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
6. 社交媒体中的旅游人际关系:话题内容与时空特征.
- Author
-
李小永, 童星辰, and 赵振斌
- Abstract
Copyright of Resources Development & Market is the property of Sichuan Resource Development & Market Magazine Co., Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2024
- Full Text
- View/download PDF
7. Bovine anaplasmosis in Zimbabwe: spatio-temporal distribution and environmental drivers
- Author
-
Natasher Madyavanhu, Munyaradzi Davis Shekede, Samuel Kusangaya, Davies Mubika Pfukenyi, Sylvester Chikerema, and Isaiah Gwitira
- Subjects
Bovine anaplasmosis ,hotspot ,clustering ,MaxEnt ,spatio-temporal distribution ,Veterinary medicine ,SF600-1100 - Abstract
Understanding the spatial and temporal distribution of Bovine anaplasmosis is crucial for identifying areas of high prevalence for targeted disease control. This research was aimed at modelling and mapping the B. anaplasmosis potential distribution, and identify hotspots as well as significant variables explaining the occurrence of the disease. The Getis Ord Gi* statistic for Hotspot analysis was used as well as MaxEnt ecological niche modelling. The effects of time, land-use, and agro-ecological regions on B. anaplasmosis occurrence were tested using Analysis of Variance (ANOVA). Results showed that several districts in Zimbabwe are suitable for the occurence of the disease for example Binga, Seke, Buhera, Kwekwe, Gweru, Mhondoro, Chegutu, Sanyati, and in the North: Mbire, Muzarabani, Mt Darwin, Shamva, Bindura, Zvimba and Makonde. Morbidity and mortality hotspots were detected in Gokwe-south, Kwekwe, and Chirumhanzu districts. Binga, Gokwe-south, Gutu, Hurungwe, Mazoe, Nkayi, Shamva, and Kwekwe districts also experienced high disease incidences. Temperature seasonality, precipitation seasonality, mean diurnal range, and isothermality were the most important variables in explaining 93% of B. anaplasmosis distribution. Unlike land-use and agro-ecological regions, time (months) had a significant effect on B. anaplasmosis occurrence with July and September having significantly (p
- Published
- 2024
- Full Text
- View/download PDF
8. Epidemiological characteristics, diagnosis and treatment effect of rifampicin-resistant pulmonary tuberculosis (RR-PTB) in Guizhou Province
- Author
-
Jian Zhou, Jinlan Li, Yong Hu, and Shijun Li
- Subjects
Rifampicin-resistant pulmonary tuberculosis ,Epidemiology ,Spatio-temporal distribution ,Diagnosis and treatment ,Western China ,Infectious and parasitic diseases ,RC109-216 - Abstract
Abstract Background Rifampicin-resistant pulmonary tuberculosis (RR-PTB) presents a significant threat to global public health security. China bears a substantial burden of RR-PTB cases globally, with Guizhou Province experiencing particularly alarming trends, marked by a continual increase in patient numbers. Understanding the population characteristics and treatment modalities for RR-PTB is crucial for mitigating morbidity and mortality associated with this disease. Methods We gathered epidemiological, diagnostic, and treatment data of all RR-PTB cases recorded in Guizhou Province from January 1, 2017 to December 31, 2023. Utilizing composition ratios as the analytical metric, we employed Chi-square tests to examine the spatiotemporal distribution patterns of RR-PTB patients and the evolving trends among different patient classifications over the study period. Results In our study, 3396 cases of RR-PTB were analyzed, with an average age of 45 years. The number of RR-PTB patients rose significantly from 176 in 2017 to 960 in 2023, peaking notably among individuals aged 23–28 and 44–54, with a rising proportion in the 51–80 age group (P
- Published
- 2024
- Full Text
- View/download PDF
9. Spatio-temporal distribution of rhinovirus types in Kenya: a retrospective analysis, 2014
- Author
-
John Mwita Morobe, Everlyn Kamau, Martha M. Luka, Nickson Murunga, Clement Lewa, Martin Mutunga, Godfrey Bigogo, Nancy Otieno, Bryan Nyawanda, Clayton Onyango, D. James Nokes, Charles N. Agoti, and Patrick K. Munywoki
- Subjects
Rhinovirus ,Phylogenetics ,Transmission ,Spatio-temporal distribution ,Kenya ,Medicine ,Science - Abstract
Abstract The epidemiology and circulation patterns of various rhinovirus types within populations remains under-explored. We generated 803 VP4/VP2 gene sequences from rhinovirus-positive samples collected from acute respiratory illness (ARI) patients, including both in-patient and outpatient cases, between 1st January and 31st December 2014 from eleven surveillance sites across Kenya and used phylogenetics to characterise virus introductions and spread. RVs were detected throughout the year, with the highest detection rates observed from January to March and June to July. We detected a total of 114 of the 169 currently classified types. Our analysis revealed numerous virus introductions into Kenya characterized by local expansion and extinction, and extensive spatial mixing of types within the country due to the widespread transmission of the virus after an introduction. This work demonstrates that in a single year, the circulation of rhinovirus in Kenya was characterized by substantial genetic diversity, multiple introductions, and extensive geographical spread.
- Published
- 2024
- Full Text
- View/download PDF
10. Understanding the patterns and predictors of human-elephant conflict in Tamil Nadu, India.
- Author
-
Shameer, Thekke Thumbath, Routray, Priyambada, Udhayan, A., Ranjan, Nihar, Ganesan, Manikka Govindan, Manimozhi, Arulmani, and Vasanthakumari, Dhayanithi
- Subjects
RAGI ,DIGITAL elevation models ,BODIES of water ,DATABASES ,LOW temperatures ,BANANAS - Abstract
Habitat loss and encroachment lead to conservation challenges such as human-elephant conflicts (HEC). Understanding the patterns and predictors of HEC is crucial to identify priority areas for mitigation efforts. Accordingly, a study was conducted across the forest divisions of Tamil Nadu, India. We collected HEC data for 2016–2021 from the forest department compensation database maintained in forest divisions. Our analysis encompassed division-wise, crop-wise, conflict-wise assessments, temporal analysis and conflict risk modelling (CRM). We divided the forest divisions into 4 different zones based on the variables that likely influence HEC. The results revealed that conflict frequency was higher in the forest range Denkankottai, located in the Hosur division, which falls under Zone 1. HEC was higher from November to January in correspondence with the cropping season. Elephants primarily damaged millet (ragi) (Eleusine coracana), with n = 2,182, particularly during November and December, followed by banana (Musa genus) with n = 1,690. The CRM predicts that the southwest and northwest regions of Tamil Nādu had higher conflict risks and area coverage of medium and high conflict risk zones as 17,025 km
2 and 3521 km2 , respectively. The CRM revealed that the most significant variables in predicting conflict risk are the annual mean temperature, human modification index, and digital elevation model. Areas with higher conflict risk were closer to forest cover, croplands, roads, and water bodies. These regions typically had lower terrain ruggedness, higher human modification, lower temperatures, and dense vegetation. The present study's findings underscore the need for a comprehensive and multidimensional approach to managing HEC, which is crucial for fostering coexistence between humans and elephants in the region. [ABSTRACT FROM AUTHOR]- Published
- 2024
- Full Text
- View/download PDF
11. Epidemiological characteristics, diagnosis and treatment effect of rifampicin-resistant pulmonary tuberculosis (RR-PTB) in Guizhou Province.
- Author
-
Zhou, Jian, Li, Jinlan, Hu, Yong, and Li, Shijun
- Subjects
- *
SOCIAL networks , *TUBERCULOSIS , *TUBERCULOSIS patients , *AGE groups , *WOMEN patients - Abstract
Background: Rifampicin-resistant pulmonary tuberculosis (RR-PTB) presents a significant threat to global public health security. China bears a substantial burden of RR-PTB cases globally, with Guizhou Province experiencing particularly alarming trends, marked by a continual increase in patient numbers. Understanding the population characteristics and treatment modalities for RR-PTB is crucial for mitigating morbidity and mortality associated with this disease. Methods: We gathered epidemiological, diagnostic, and treatment data of all RR-PTB cases recorded in Guizhou Province from January 1, 2017 to December 31, 2023. Utilizing composition ratios as the analytical metric, we employed Chi-square tests to examine the spatiotemporal distribution patterns of RR-PTB patients and the evolving trends among different patient classifications over the study period. Results: In our study, 3396 cases of RR-PTB were analyzed, with an average age of 45 years. The number of RR-PTB patients rose significantly from 176 in 2017 to 960 in 2023, peaking notably among individuals aged 23–28 and 44–54, with a rising proportion in the 51–80 age group (P < 0.001). Since 2021, there has been a notable increase in the proportion of female patients. While individuals of Han ethnic group comprised the largest group, their proportion decreased over time (P < 0.001). Conversely, the Miao ethnicity showed an increasing trend (P < 0.05). The majority of patients were farmers, with their proportion showing an upward trajectory (P < 0.001), while students represented 4.33% of the cases. Geographically, most patients were registered in Guiyang and Zunyi, with a declining trend (P < 0.001), yet household addresses primarily clustered in Bijie, Tongren, and Zunyi. The proportion of floating population patients gradually decreased, alongside an increase in newly treated patients and those without prior anti-tuberculosis therapy. Additionally, there was a notable rise in molecular biological diagnostic drug sensitivity (real-time PCR and melting curve analysis) (P < 0.001). However, the cure rate declined, coupled with an increasing proportion of RR-PTB patients lost to follow-up and untreated (P < 0.05). Conclusions: Enhanced surveillance is crucial for detecting tuberculosis patients aged 23–28 and 44–54 years. The distribution of cases varies among nationalities and occupations, potentially influenced by cultural and environmental factors. Regional patterns in RR-PTB incidence suggest tailored prevention and control strategies are necessary. Despite molecular tests advances, challenges persist with low cure rates and high loss to follow-up. Strengthening long-term management, resource allocation, and social support systems for RR-PTB patients is essential. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
12. Epidemic Characteristics and Spatio-Temporal Patterns of HFRS in Qingdao City, China, 2010–2022.
- Author
-
Li, Ying, Lu, Runze, Dong, Liyan, Sun, Litao, Zhang, Zongyi, Zhao, Yating, Duan, Qing, Zhang, Lijie, Jiang, Fachun, Jia, Jing, and Ma, Huilai
- Subjects
HEMORRHAGIC fever with renal syndrome ,CLUSTER analysis (Statistics) ,DEATH rate ,EPIDEMICS - Abstract
This study investigated the epidemic characteristics and spatio-temporal dynamics of hemorrhagic fever with renal syndrome (HFRS) in Qingdao City, China. Information was collected on HFRS cases in Qingdao City from 2010 to 2022. Descriptive epidemiologic, seasonal decomposition, spatial autocorrelation, and spatio-temporal cluster analyses were performed. A total of 2,220 patients with HFRS were reported over the study period, with an average annual incidence of 1.89/100,000 and a case fatality rate of 2.52%. The male:female ratio was 2.8:1. 75.3% of patients were aged between 16 and 60 years old, 75.3% of patients were farmers, and 11.6% had both "three red" and "three pain" symptoms. The HFRS epidemic showed two-peak seasonality: the primary fall-winter peak and the minor spring peak. The HFRS epidemic presented highly spatially heterogeneous, street/township-level hot spots that were mostly distributed in Huangdao, Pingdu, and Jiaozhou. The spatio-temporal cluster analysis revealed three cluster areas in Qingdao City that were located in the south of Huangdao District during the fall-winter peak. The distribution of HFRS in Qingdao exhibited periodic, seasonal, and regional characteristics, with high spatial clustering heterogeneity. The typical symptoms of "three red" and "three pain" in patients with HFRS were not obvious. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
13. Unseen riverine risk: Spatio-temporal shifts of microplastic pollution and its bioavailability in freshwater fish within the Ikopa River urban system.
- Author
-
Rabezanahary, Andry Ny Aina, Kestemont, Patrick, Cornet, Valérie, Benali, Samira, Laby, Patrick, Randrianarivo, Ranjàna Hanitra, Mong, Yves Jean Michel, Raquez, Jean-Marie, and Missawi, Omayma
- Subjects
URBAN pollution ,NILE tilapia ,POLLUTION management ,FISH habitats ,POLLUTION ,PLASTIC marine debris - Abstract
Growing concern over microplastic pollution, driven by their widespread accumulation in the environment, stresses the need for comprehensive assessments. This study investigates the spatial and temporal distribution of microplastics in the Ikopa River (Antananarivo – Madagascar), which flows through a densely populated area, and examines their correlation with contamination levels in local fish species. By analyzing upstream and downstream stations across wet and dry seasons, only a notable increase in microplastic concentration downstream during the wet season was observed, ranging from 138.6 ± 9.0 to 222.0 ± 24.5 particles m
−3 , with polyethylene-co-vinyl acetate being the predominant polymer at 62.3 ± 5.13% of the total sampled polymers. This distribution underlines the impact of urban activities on pollution levels. Fish species, gambusia and Nile tilapia, were assessed for microplastic occurrence in gills and gastrointestinal tracts. Higher contamination rates were found in gambusia, enlightening the influence of feeding behaviour and fish habitat on microplastics contamination. Ingestion of microplastics directly from the water column was evident in both species, with the detection of high-density plastics such as polytetrafluoroethylene and polyvinyl chloride suggesting likely sediment contamination. This research highlights the widespread contamination of aquatic environments and its direct impact on local wildlife, pointing to a clear requirement for effective pollution management strategies. [ABSTRACT FROM AUTHOR]- Published
- 2024
- Full Text
- View/download PDF
14. Spatio-Temporal Distribution Characteristics of Buddhist Temples and Pagodas in the Liaoning Region, China.
- Author
-
Gao, Jiaji, Wang, Jingyi, Wang, Qi, and Cao, Yingdan
- Subjects
BUDDHIST temples ,PROBABILITY density function ,PAGODAS ,AESTHETICS ,QING dynasty, China, 1644-1912 - Abstract
Buddhist culture in Liaoning has a long and rich history. The continuous spread of Buddhism has promoted the development of Buddhist architecture, leaving us a rich architectural art heritage. Furthermore, it has also profoundly influenced China's architectural characteristics, social culture, and economic development. This paper takes Buddhist temples and pagodas in Liaoning as the research objects and uses methods such as the geographic concentration index, nearest neighbor index, kernel density estimation, and standard deviation ellipse to analyze their spatio-temporal distribution characteristics and influencing factors across different periods. 1. Temporal distribution. During the Liao Dynasty (907–1125 AD) and the Qing Dynasty (1636–1912 AD), the construction of Buddhist temples and pagodas was the highest, with a linear increase in the Qing Dynasty. 2. The overall spatial distribution of Buddhist temples and pagodas in Liaoning is uneven, showing an agglomeration distribution state. The distribution status of different periods was different, and the Ming (1368–1644 AD) and Qing dynasties (1636–1912 AD) showed obvious aggregation distribution. The overall state is "more in the west and less in the east" and "more in the north and less in the south". 3. In different periods, the spatial distribution direction of Buddhist temples and pagodas in Liaoning was relatively obvious and was southwest–northeast, and the center of gravity gradually shifted to the northwest. 4. The kernel density of different periods presents the density distribution and area of each period. The overall distribution is dense to scattered and then to highly dense. 5. The spatio-temporal distribution characteristics of Buddhist temples and pagodas in Liaoning are mainly composed of deep-seated political factors, rapid economic development and stable social environment, diverse culture, natural geography, cultural relics protection, and the artistic value of Buddhist architecture in the Liaoning region. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
15. Spatial and Temporal Distribution Characteristics and Genealogical Framework of Shaanxi's Industrial Heritage.
- Author
-
Lv, Jing, Yang, Haozhong, Zhang, Xiaozhen, Wang, Yuxin, Zhang, Hua, and Zhao, Yifan
- Subjects
NATURAL resources ,HISTORIC sites ,PROTECTION of cultural property ,URBAN renewal ,INDUSTRIAL sites ,GEOGRAPHIC information systems - Abstract
A large amount of industrial heritage has been preserved owing to the wide recognition of its value as part of urban renewal and rural revitalization. Shaanxi's industrial heritage is unique because of its rich historical resources. However, research on Shaanxi's industrial heritage has been of point and piecemeal form rather than systematic. In this study, through the collection of historical data and study of the academic literature, we analyzed 385 industrial heritage sites in Shaanxi in time and space from 1840 to 1978 using a geographic information system (GIS) to reveal their evolution patterns. We comprehensively examined the influence of factors such as natural resources, traditional ancient industry inheritance, transportation conditions, and historical policies, and found that the distribution of industrial heritage in Shaanxi resulted from the interaction of these factors. We have constructed the first ever level categorized and quantified multilevel industrial heritage atlas of Shaanxi in the form of a Sankey diagram using GIS spatial maps, which provides a traceable historical record for each industrial heritage site. We not only reveal the spatial evolution law of industrial heritage in Shaanxi but also provide an overall view of the practice of industrial heritage protection and renewal, thus helping avoid the homogenization of future design. Our findings are also of academic and practical significance for the study and protection of industrial heritage. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
16. Climatic characteristics of hourly extreme precipitation during the warm season in Chongqing
- Author
-
Yi Liu, Zhong Wang, Chengzhi Deng, Danhua Zhai, Yu Han, Yue Pang, Yingying Zhou, and Fang Luo
- Subjects
Hourly extreme precipitation ,threshold ,diurnal variation ,spatio-temporal distribution ,Environmental technology. Sanitary engineering ,TD1-1066 ,Environmental sciences ,GE1-350 ,Risk in industry. Risk management ,HD61 - Abstract
The study analyzed hourly extreme precipitation events in Chongqing and its six sub-regions from 2011 to 2021 during the warm season. Results showed uneven distribution of the 99.7th percentile hourly extreme precipitation threshold, with lower thresholds along the Yangtze River valley and higher thresholds in the Daba Mountains and Wuling Mountains. Both hourly extreme precipitation amount (HEPA) and intensity (HEPI) exhibited higher values in surrounding areas and lower values in the center, with the western, northeast, and southeastern regions experiencing the highest values. Spatial distribution of hourly extreme precipitation frequency varied, with higher frequencies in the northwestern and southern parts of Chongqing. Interannually, hourly extreme precipitation amount slightly increased, while intensity fluctuated. Monthly peak values for amount, frequency, and intensity occurred in July or August, and on a daily scale, the periods from 03:00 to 07:00 and 17:00 to 21: 00 exhibited higher values for amount and frequency, while the period from 11 :00 to 16:00 showed lower values. In summary, the study provided insights into the spatial and temporal patterns of hourly extreme precipitation events in Chongqing and its sub-regions during the warm season, highlighting variations in thresholds, distribution, and trends over the studied period.
- Published
- 2024
- Full Text
- View/download PDF
17. Significant Findings on the Spatio-Temporal Dynamics of the Satellite-based Aridity Index (SbAI) in Argentina
- Author
-
Casañas, Juan Manuel, Cometto, Pablo Marcelo, Vera, Mauro González, Bruzzone, Octavio Augusto, Easdale, Marcos Horacio, and Maerker, Michael
- Published
- 2024
- Full Text
- View/download PDF
18. Global distribution of zoonotic digenetic trematodes: a scoping review
- Author
-
Yue Hu, Rong-Jian Zhan, Shi-Lin Lu, Yi-Yang Zhang, Min-Yu Zhou, Hui Huang, Ding-Ding Wang, Tao Zhang, Zi-Xin Huang, Yun-Fei Zhou, and Zhi-Yue Lv
- Subjects
Digenetic trematode ,Epidemiology ,Spatio-temporal distribution ,Infectious and parasitic diseases ,RC109-216 ,Public aspects of medicine ,RA1-1270 - Abstract
Abstract Background Digenetic trematodes, including blood flukes, intestinal flukes, liver flukes, lung flukes, and pancreatic flukes, are highly diverse and distributed widely. They affect at least 200 million people worldwide, so better understanding of their global distribution and prevalence are crucial for controlling and preventing human trematodiosis. Hence, this scoping review aims to conduct a comprehensive investigation on the spatio-temporal distribution and epidemiology of some important zoonotic digenetic trematodes. Methods We conducted a scoping review by searching PubMed, Web of Science, Google Scholar, China National Knowledge Infrastructure, and Wanfang databases for articles, reviews, and case reports of zoonotic digenetic trematodes, without any restrictions on the year of publication. We followed the inclusion and exclusion criteria to identify relevant studies. And relevant information of the identified studies were collected and summarized. Results We identified a total of 470 articles that met the inclusion criteria and were included in the review finally. Our analysis revealed the prevalence and global distribution of species in Schistosoma, Echinostoma, Isthmiophora, Echinochasmus, Paragonimus, Opisthorchiidae, Fasciolidae, Heterophyidae, and Eurytrema. Although some flukes are distributed worldwide, developing countries in Asia and Africa are still the most prevalent areas. Furthermore, there were some overlaps between the distribution of zoonotic digenetic trematodes from the same genus, and the prevalence of some zoonotic digenetic trematodes was not entirely consistent with their global distribution. The temporal disparities in zoonotic digenetic trematodes may attribute to the environmental changes. The gaps in our knowledge of the epidemiology and control of zoonotic digenetic trematodes indicate the need for large cohort studies in most countries. Conclusions This review provides important insights into the prevalence and global distribution of some zoonotic digenetic trematodes, firstly reveals spatio-temporal disparities in these digenetic trematodes. Countries with higher prevalence rate could be potential sources of transmitting diseases to other areas and are threat for possible outbreaks in the future. Therefore, continued global efforts to control and prevent human trematodiosis, and more international collaborations are necessary in the future. Graphical Abstract
- Published
- 2024
- Full Text
- View/download PDF
19. 2012—2022年乌鲁木齐市婚前医学检查变化趋势及空间聚集性特征分析.
- Author
-
夏依达·艾尼, 玛尔哈巴·阿布都热西提, 胡韦菊, 梁晓菲, 阿丽耶·艾力, and 阿斯木古丽·克力木
- Abstract
Objective To analyze the trends in pre-marital medical examinations (PME) and the detection of major diseases, as well as the spatial distribution patterns in Urumqi city from 2012 to 2022, to provide foundational data for disease prevention and promoting healthy births. Methods Based on the “Annual Report on Pre-marital Health” of Urumqi city from 2012 to 2022, descriptive analyses were conducted on the PME rate and the detection of major diseases. The Joinpoint regression analysis and spatial autocorrelation analysis were employed to explore the spatio-temporal distribution characteristics of PME levels. Results The average PME rate in Urumqi over 11 years was 61.79%. A turning point in PME rate occurred in 2015, showing a significant overall upward trend (AAPC=58.012, 95% CI: 34.388-85.790). The average detection rate of diseases during the 11-year period was 6.43%, with statistically significant differences in the detection rates of specified infectious diseases, internal medicine diseases, and reproductive system diseases across different years (P<0.001). Spatially, the PME levels in Urumqi city shifted from low-high aggregation to high-low aggregation. Hotspot areas shifted from Tianshan District in 2012 to Xinshi District in 2022, while cold spot areas shifted from Dabancheng District in 2017 to Tianshan District in 2022. Conclusion The PME rate in Urumqi has increased annually since 2012, but growth has slowed in recent years. The number of detected diseases has increased, with varied incidences between males and females. While overall spatial aggregation of PME levels is not significant, local areas exhibit diverse aggregation levels. Further efforts are needed to enhance pre-marital health services citywide, supporting early disease prevention and promoting healthy births. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
20. Global distribution of zoonotic digenetic trematodes: a scoping review.
- Author
-
Hu, Yue, Zhan, Rong-Jian, Lu, Shi-Lin, Zhang, Yi-Yang, Zhou, Min-Yu, Huang, Hui, Wang, Ding-Ding, Zhang, Tao, Huang, Zi-Xin, Zhou, Yun-Fei, and Lv, Zhi-Yue
- Subjects
- *
TREMATODA , *LIVER flukes , *SCHISTOSOMA , *SPECIES distribution - Abstract
Background: Digenetic trematodes, including blood flukes, intestinal flukes, liver flukes, lung flukes, and pancreatic flukes, are highly diverse and distributed widely. They affect at least 200 million people worldwide, so better understanding of their global distribution and prevalence are crucial for controlling and preventing human trematodiosis. Hence, this scoping review aims to conduct a comprehensive investigation on the spatio-temporal distribution and epidemiology of some important zoonotic digenetic trematodes. Methods: We conducted a scoping review by searching PubMed, Web of Science, Google Scholar, China National Knowledge Infrastructure, and Wanfang databases for articles, reviews, and case reports of zoonotic digenetic trematodes, without any restrictions on the year of publication. We followed the inclusion and exclusion criteria to identify relevant studies. And relevant information of the identified studies were collected and summarized. Results: We identified a total of 470 articles that met the inclusion criteria and were included in the review finally. Our analysis revealed the prevalence and global distribution of species in Schistosoma, Echinostoma, Isthmiophora, Echinochasmus, Paragonimus, Opisthorchiidae, Fasciolidae, Heterophyidae, and Eurytrema. Although some flukes are distributed worldwide, developing countries in Asia and Africa are still the most prevalent areas. Furthermore, there were some overlaps between the distribution of zoonotic digenetic trematodes from the same genus, and the prevalence of some zoonotic digenetic trematodes was not entirely consistent with their global distribution. The temporal disparities in zoonotic digenetic trematodes may attribute to the environmental changes. The gaps in our knowledge of the epidemiology and control of zoonotic digenetic trematodes indicate the need for large cohort studies in most countries. Conclusions: This review provides important insights into the prevalence and global distribution of some zoonotic digenetic trematodes, firstly reveals spatio-temporal disparities in these digenetic trematodes. Countries with higher prevalence rate could be potential sources of transmitting diseases to other areas and are threat for possible outbreaks in the future. Therefore, continued global efforts to control and prevent human trematodiosis, and more international collaborations are necessary in the future. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
21. 彩钢板建筑群视角下的西宁市产业园区时空分布研究.
- Author
-
李玉清, 杨树文, 洪卫丽, 苏航, and 雒亚文
- Abstract
Copyright of Remote Sensing for Natural Resources is the property of Remote Sensing for Natural Resources Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2024
- Full Text
- View/download PDF
22. 滇黔桂盆地东北部泥盆系竹节石页岩 时空分布与沉积特征.
- Author
-
张英杰, 陆济璞, 王新宇, 岑文攀, 马成龙, 陈基瑜, 黄文芳, 李暋豪, and 于新武
- Abstract
Copyright of Journal of Northeast Petroleum University is the property of Journal of Northeast Petroleum University Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2024
- Full Text
- View/download PDF
23. Evolution law and risk analysis of fault-slip burst in coal mine based on microseismic monitoring
- Author
-
Feng, Xiaojun, Yue, Weitao, Zhao, Xue, Wang, Dongming, Liu, Quanlin, and Ding, Zeng
- Published
- 2025
- Full Text
- View/download PDF
24. Spatio-temporal distribution of rhinovirus types in Kenya: a retrospective analysis, 2014
- Author
-
Morobe, John Mwita, Kamau, Everlyn, Luka, Martha M., Murunga, Nickson, Lewa, Clement, Mutunga, Martin, Bigogo, Godfrey, Otieno, Nancy, Nyawanda, Bryan, Onyango, Clayton, Nokes, D. James, Agoti, Charles N., and Munywoki, Patrick K.
- Published
- 2024
- Full Text
- View/download PDF
25. Electric Taxi Charging Load Prediction Based on Trajectory Data and Reinforcement Learning—A Case Study of Shenzhen Municipality.
- Author
-
Liu, Xiaojia, Liu, Bowei, Chen, Yunjie, Zhou, Yuqin, and Yu, Dexin
- Abstract
In order to effectively solve the problem of electric taxi charging load prediction and reasonable charging behaviour discrimination, in this paper, we use taxi GPS trajectory data to mine the probability of operation behaviour in each area of the city, simulate the operation behaviour of a day by combining it with reinforcement learning ideas, obtain the optimal operation strategy through training, and count the spatial and temporal distributions and power values at the time of charging decision making, so as to predict the charging load of electric taxis. Experiments are carried out using taxi travel data in Shenzhen city centre. The results show that, in terms of taxi operation behaviour, the operation behaviour optimized by the DQN algorithm shows the optimal effect in terms of the passenger carrying time, mileage, and daily net income; in terms of the charging load distribution, the spatial charging demand of electric taxis in each area shows obvious differences, and the charging demand load located in the city centre area and close to the traffic hub is higher. In time, the peak charging demand is distributed around 3:00 to 4:00 and 14:00 to 15:00. Compared with the operating habits of drivers based on the Monte Carlo simulation, the DQN algorithm is able to optimise the efficiency and profitability of taxi drivers, which is more in line with the actual operating habits of drivers formed through accumulated experience, thus achieving a more accurate charging load distribution. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
26. Spatio-Temporal Distribution Characteristics of Buddhist Temples and Pagodas in the Liaoning Region, China
- Author
-
Jiaji Gao, Jingyi Wang, Qi Wang, and Yingdan Cao
- Subjects
Buddhism ,temples ,pagodas ,spatio-temporal distribution ,influencing factors ,Building construction ,TH1-9745 - Abstract
Buddhist culture in Liaoning has a long and rich history. The continuous spread of Buddhism has promoted the development of Buddhist architecture, leaving us a rich architectural art heritage. Furthermore, it has also profoundly influenced China’s architectural characteristics, social culture, and economic development. This paper takes Buddhist temples and pagodas in Liaoning as the research objects and uses methods such as the geographic concentration index, nearest neighbor index, kernel density estimation, and standard deviation ellipse to analyze their spatio-temporal distribution characteristics and influencing factors across different periods. 1. Temporal distribution. During the Liao Dynasty (907–1125 AD) and the Qing Dynasty (1636–1912 AD), the construction of Buddhist temples and pagodas was the highest, with a linear increase in the Qing Dynasty. 2. The overall spatial distribution of Buddhist temples and pagodas in Liaoning is uneven, showing an agglomeration distribution state. The distribution status of different periods was different, and the Ming (1368–1644 AD) and Qing dynasties (1636–1912 AD) showed obvious aggregation distribution. The overall state is “more in the west and less in the east” and “more in the north and less in the south”. 3. In different periods, the spatial distribution direction of Buddhist temples and pagodas in Liaoning was relatively obvious and was southwest–northeast, and the center of gravity gradually shifted to the northwest. 4. The kernel density of different periods presents the density distribution and area of each period. The overall distribution is dense to scattered and then to highly dense. 5. The spatio-temporal distribution characteristics of Buddhist temples and pagodas in Liaoning are mainly composed of deep-seated political factors, rapid economic development and stable social environment, diverse culture, natural geography, cultural relics protection, and the artistic value of Buddhist architecture in the Liaoning region.
- Published
- 2024
- Full Text
- View/download PDF
27. Spatial and Temporal Distribution Characteristics and Genealogical Framework of Shaanxi’s Industrial Heritage
- Author
-
Jing Lv, Haozhong Yang, Xiaozhen Zhang, Yuxin Wang, Hua Zhang, and Yifan Zhao
- Subjects
genealogical framework ,industrial heritage ,influencing factors ,spatio-temporal distribution ,Shaanxi ,traditional ancient industry ,Building construction ,TH1-9745 - Abstract
A large amount of industrial heritage has been preserved owing to the wide recognition of its value as part of urban renewal and rural revitalization. Shaanxi’s industrial heritage is unique because of its rich historical resources. However, research on Shaanxi’s industrial heritage has been of point and piecemeal form rather than systematic. In this study, through the collection of historical data and study of the academic literature, we analyzed 385 industrial heritage sites in Shaanxi in time and space from 1840 to 1978 using a geographic information system (GIS) to reveal their evolution patterns. We comprehensively examined the influence of factors such as natural resources, traditional ancient industry inheritance, transportation conditions, and historical policies, and found that the distribution of industrial heritage in Shaanxi resulted from the interaction of these factors. We have constructed the first ever level categorized and quantified multilevel industrial heritage atlas of Shaanxi in the form of a Sankey diagram using GIS spatial maps, which provides a traceable historical record for each industrial heritage site. We not only reveal the spatial evolution law of industrial heritage in Shaanxi but also provide an overall view of the practice of industrial heritage protection and renewal, thus helping avoid the homogenization of future design. Our findings are also of academic and practical significance for the study and protection of industrial heritage.
- Published
- 2024
- Full Text
- View/download PDF
28. Spatio-temporal disparities of Clonorchis sinensis infection in animal hosts in China: a systematic review and meta-analysis
- Author
-
Kai Liu, Jing Tan, Lu Xiao, Rui-Tai Pan, Xiao-Yan Yao, Fu-Yan Shi, Shi‐Zhu Li, and Lan‐Hua Li
- Subjects
Clonorchis sinensis ,China ,Prevalence ,Spatio-temporal distribution ,Biogeographical characteristics ,Animal host ,Infectious and parasitic diseases ,RC109-216 ,Public aspects of medicine ,RA1-1270 - Abstract
Abstract Background Clonorchis sinensis, one of the most important food-borne zoonotic trematodes, remains prevalent in China. Understanding its infection status in animals is crucial for controlling human clonorchiasis. Here we conducted a systematic review and meta-analysis to focus on the spatio-temporal disparities of C. sinensis infection in animals in China. Methods Data on C. sinensis prevalence in snails, the second intermediate hosts, or animal reservoirs in China were extracted from electronic databases including PubMed, Embase, Web of Science, Chinese Wanfang database, CNKI, VIP, and China Biomedical Literature database. A random-effects meta-analysis model was utilized to estimate the pooled prevalence in each of the above animal hosts. Subgroup analysis and multivariable meta-regression were performed to explore potential sources of heterogeneity across studies and compare the temporal disparity of infection rates between high and low epidemic areas. Scatter plots were used to depict the biogeographical characteristics of regions reporting C. sinensis infection in animals. Results The overall pooled prevalence of C. sinensis was 0.9% (95% CI: 0.6–1.2%) in snails, 14.2% (12.7–15.7%) in the second intermediate host, and 14.3% (11.4–17.6%) in animal reservoirs. Prevalence in low epidemic areas (with human prevalence
- Published
- 2023
- Full Text
- View/download PDF
29. Dynamic evolution, regional differences and influencing factors of high-quality development of China’s logistics industry
- Author
-
Minjie Li, Kai Huang, Xinyu Xie, and Yihui Chen
- Subjects
High-quality development ,Logistics industry ,Spatio-temporal distribution ,Dynamic evolution ,Regional differences ,GTWR ,Ecology ,QH540-549.5 - Abstract
Promoting high-quality development of logistics industry (LHQD) becomes imperative to decrease logistics costs in real economy and intensify endogenous power of economic development. In this paper, we construct an evaluation system consisting of 21 indicators in four dimensions: output scale, operation quality, social contribution and green development. Thereafter, we apply improved entropy weight method, kernel density estimation and Dagum Gini coefficient to carve out spatial and temporal distribution, dynamic evolution and regional differences of LHQD. Finally, we adopt geographical and temporal weighted regression (GTWR) model to reveal heterogeneous effect of each selected factor on LHQD. Outcome indicates: (1) The level of LHQD rose at average annual growth rate of 2.776% between 2004 and 2018, however with significant regional and inter-provincial differences. (2) The LHQD in the whole nation and the three major regions were bipolar or multipolar, with distinctive gradient characteristics. (3) The overall difference of LHQD primarily came from deviation in growth among three major regions, and this difference kept expanding. (4) The impact of various factors on LHQD was characterized by spatial and temporal heterogeneity. Specifically, the positive impact of innovation capacity, digitalization level, foreign direct investment, transportation infrastructure and environmental regulation on development of logistics industry gradually increased with time. It was stronger for eastern region than western region. In contrast, industrial agglomeration’s stimulus to LHQD had diminished, and the high-value region of its positive impact had shifted from east to center.
- Published
- 2024
- Full Text
- View/download PDF
30. Integrated Assessment of Coastal Subsidence in Nansha District, Guangzhou City, China: Insights from SBAS-InSAR Monitoring and Risk Evaluation.
- Author
-
Wang, Simiao, Sun, Huimin, Wei, Lianhuan, Pi, Pengcheng, Zeng, Min, Pan, Yujie, Xue, Zixuan, and Jiang, Xuehan
- Subjects
- *
LAND subsidence , *RISK assessment , *CITIES & towns , *PIPELINE transportation , *EMERGENCY management - Abstract
Monitoring and assessing coastal subsidence is crucial to mitigating potential disaster risks associated with rising sea levels. Nansha District in Guangzhou City, representing global coastal soft-soil urban areas, faces significant challenges related to ground subsidence. However, the current understanding of the status, causative factors, and risk (includes subsidence susceptibility and vulnerability) assessment of ground subsidence in Nansha District is unclear. To address this gap, we utilized the SBAS-InSAR technique, analyzing 49 Sentinel-1A images from December 2015 to June 2019, for systematic ground subsidence monitoring. Subsequently, we assessed subsidence risk using a comprehensive index method and a risk matrix. Our findings indicate that subsidence velocity primarily ranged from −40 to −5 mm/a, with a spatial pattern of increasing subsidence from inland to coastal areas. The cumulative subsidence process unfolded in four distinct stages. The genesis of land subsidence was linked to an endogenous geological context dominated by soft-soil deposition, influenced by external factors such as surface loading and groundwater extraction. High-risk zones were concentrated in key engineering development areas, transportation pipeline trunk lines, and densely populated regions, demanding special attention. This study provides a foundational resource for disaster prevention and control strategies in Nansha District and similar coastal cities. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
31. ForecastNet Wind Power Prediction Based on Spatio-Temporal Distribution.
- Author
-
Peng, Shurong, Guo, Lijuan, Huang, Haoyu, Liu, Xiaoxu, and Peng, Jiayi
- Subjects
WIND power ,FEATURE extraction ,MULTILAYER perceptrons ,CONFIDENCE intervals ,OUTLIER detection ,WIND turbines ,WIND power plants - Abstract
The integration of large-scale wind power into the power grid threatens the stable operation of the power system. Traditional wind power prediction is based on time series without considering the variability between wind turbines in different locations. This paper proposes a wind power probability density prediction method based on a time-variant deep feed-forward neural network (ForecastNet) considering a spatio-temporal distribution. First, the outliers in the wind turbine data are detected based on the isolated forest algorithm and repaired through Lagrange interpolation. Then, based on the graph attention mechanism, the features of the proximity node information of the individual wind turbines in the wind farm are extracted and the input feature matrix is constructed. Finally, the wind power probability density prediction results are obtained using the ForecastNet model based on three different hidden layer variants. The experimental results show that the ForecastNet model with a hidden layer as a dense network based on the attention mechanism (ADFN) predicts better. The average width of the prediction intervals at achieved confidence levels for all interval coverage is reduced by 34.19%, 35.41%, and 35.17%, respectively, when compared to the model with the hidden layer as a multilayer perceptron. For different categories of wind turbines, ADFN also achieves relatively narrow interval average widths of 368.37 kW, 315.87 kW, and 299.13 kW, respectively. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
32. Mekânsal ve Zamansal Perspektiften Ankara'daki Trafik Kazaları: Ölümlü ve Yaralanmalı Olayların Analizi.
- Author
-
FİDAN, Seçkin, YILMAZ, Mutlu, ATEŞ, Ersin, and ALTUNDAL ÖNCÜ, Merve
- Abstract
Traffic accidents are a widespread global problem causing significant threats to human life and socioeconomic impacts. Traffic accidents are becoming more common due to the increase in population and the number of vehicles and therefore pose severe threats to human life. This study investigates the spatial and temporal characteristics of traffic accidents that occurred in Ankara between 2013 and 2020. In this context, the annual, monthly, daily, and hourly distribution of accidents were investigated to analyse the temporal characteristics of traffic accidents. In addition, Optimised Hot Spot Analysis was used to analyse the spatial characteristics, and Emerging Hot Spot Analysis was used to reveal spatiotemporal characteristics. The results reveal that the number of accidents increased until 2018 but showed a marked decrease in the last two years. It is emphasised that the decrease, especially in 2020, is closely related to the COVID-19 pandemic. In addition, there is an increase in the number of fatal accidents during the summer months, weekends, and night and morning hours. Traffic accidents and injuries are spatially clustered in the city centre, while fatal accidents are clustered not only in the city centre but also on the highways that provide access to the surrounding districts and provinces. The spatiotemporal distribution shows increasing trends with different hot spot patterns in these regions. The obtained results reveal that there are temporal and spatial patterns that vary according to the type of accident and traffic actors. This study guides local and national institutions in determining effective road safety policies to reduce traffic accidents in Ankara. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
33. The Spatio-Temporal Distribution Characteristics of Carbon Dioxide Derived from the Trajectory Mapping of Ground Observation Network Data in Shanxi Province, One of China's Largest Emission Regions.
- Author
-
Zhang, Fengsheng, Gao, Xingai, Pei, Kunning, Shi, Lihong, Li, Ying, Yan, Shiming, Zhu, Lingyun, Yang, Aiqin, Sun, Hongping, and Wang, Yijuan
- Subjects
- *
TRACE gases , *CARBON dioxide , *ATMOSPHERIC models , *SPRING , *AUTUMN , *EARTH stations - Abstract
In this study, the trajectory mapping domain-filling technology, which can provide more reliable statistical estimates of long-lived gas concentrations in a broader geographical area based on limited station data, is used to map the CO2 concentration data of six ground observation stations to the entire Shanxi Province. The technology combines a dynamical model of the atmosphere with trace gas observations, combining forward and backward trajectories to greatly expand the information on long-lived CO2 gas concentrations over a trajectory path. The mapped results show good agreement with the observation results, which reveals the generalizability of the trajectory mapping domain-filling technology. The results show that the spatio-temporal distribution characteristics of CO2 concentration in the entire Shanxi region is significant: during the five years, the provincial average CO2 concentration exhibits an overall increasing trend. The CO2 concentration increases from the north to the south across the province. Influenced by the economic growth rate and COVID-19, there are differences in the annual variation characteristics of the CO2 concentration across the entire province, with the highest year-on-year growth in 2019 and a year-on-year decrease in 2020. The increasing rate of the CO2 concentration in the northern low-value areas is faster than that in the southern high-value areas. Overall, there is a decreasing trend in the CO2 concentration growth from the north to the south in the entire province. There are seasonal differences in the CO2 concentration distribution across the entire province. The CO2 concentration and amplitude are higher in autumn and winter than they are in spring and summer. This study can provide scientific support and methodological reference for the spatio-temporal distribution characteristics analysis of GHGs at the provincial–regional scale, as well as at the national and global scales. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
34. 气候变化对甘肃农牧交错带春小麦种植区划的影响.
- Author
-
逯玉兰, 李广, 闫丽娟, 董莉霞, 燕振刚, 聂志刚, 李杰, and 王钧
- Subjects
- *
WHEAT , *ECOTONES , *CLIMATE change , *PROVINCES - Abstract
Climatic factors have posed a great challenge to grain growth in agricultural production, particularly in the arid areas. This study aims to investigate the impacts of climate change on the spring-wheat planning in the ecotone region of northern China. Air precipitation and temperature time series datasets were obtained from 30 meteorological stations in the study area over the past 50 years. The BP neural network was employed to interpolate the irregular and missing data in the time series data. Annual average temperature, annual average precipitation, and the accumulated temperature above 0℃ were selected as the agricultural zoning indicators for the regionalization of spring-wheat planting. The linear propensity rate method, cumulative anomaly method, and Mann-Kendall mutation test were employed to examine the temporal variation and mutation test of the three zoning indicators. Additionally, ArcGIS technology was utilized to perform the spatial analysis of the zoning indicators. The experimental results demonstrated that the annual average temperature was registered at 6.84 ℃, indicating a distinct warming trend characterized by an annual increase rate of approximately 0.56 ℃/10 a. Furthermore, a significant abrupt change was observed in 1998. The annual precipitation displayed a subtle upward trend of 6.10 mm/10 a, marked by a sudden shift in 1980. Lastly, the accumulated temperature above 0℃ manifested a significant warming trend at a rate of 155.41℃/10 a, without any abrupt changes. In spatial distribution, the accumulated temperature above 0 ℃ and the annual mean temperature showed a spatial pattern of low temperature in western regions and high temperature in the rest, while their tendency rate showed a gradually increasing trend from west to east and from north to south. The annual precipitation showed a decreasing spatial distribution pattern from south to north, while their tendency rate was an increasing trend from south to north. The cultivated area of spring wheat in the agropastoral ecotone increased by 565 m, as the climate changed. There was a notable expansion of the suitable planting area in the south and west. There was an increase in a total area of 1.66×106 hm², and an increase of 8.10×104 hm² since 1998, accounting for 5.06% of the total cultivated land. Notably, there was the most significant growth of the spring wheat in the most suitable area for planting, expanding by 24.44 percentage pints. Meanwhile, there were significant disparities in the regional distribution of spring wheat planting. The cultivated land area in the most suitable region for the spring wheat planting within the Gansu agropastoral ecotone expanded by 4.18×105 hm² post1998, while the suitable area contracted by 2.20×105 hm², and the sub-suitable area diminished by 1.17×105 hm² . However, the unsuitable area has experienced a reduction of 6.80×104 hm² . The findings of this study can provide a scientific foundation for optimizing and adjusting the spring wheat planting structure in the agro-pastoral ecotone of Gansu province, considering the backdrop of climate change. Moreover, they contribute to regional decision-making and formulation of strategies for rational utilization of climatic resources, thereby promoting sustainable agricultural development as well as enhancing both yield and quality of spring wheat in the agro-pastoral ecotone of Gansu Province. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
35. COMPARATIVE ANALYSIS OF GROUND-AIR TEMPERATURE DIFFERENCE BETWEEN NORTHERN GUANGDONG AND PEARL RIVER DELTA FROM 1970 TO 2021.
- Author
-
LU Jieying, SUN Liying, WANG Chunlin, ZHANG Jing, ZHAI Zhihong, and WU Jianda
- Abstract
Using the daily ground temperature and air temperature data from 30 meteorological stations in northern Guangdong and the Pearl River Delta from 1970 to 2021, the present study analyzed the spatial distribution, seasonal changes, and interannual changes of ground-air temperature difference (surface temperature minus air temperature) under the background of climate change. The results show that: (1) The annual average ground-air temperature difference between northern Guangdong and the Pearl River Delta in the past 50 years is between 1.97 and 3.21 °C, showing a zonal distribution pattern with higher temperature in the north and lower temperature in the south. (2) The maximum ground-air temperature difference is 3.25 °C in summer and the minimum is 1.71 °C in winter. The temperature difference in the Pearl River Delta in winter is larger than that in northern Guangdong, while in summer it is the opposite. (3) Dongguan in the Pearl River Delta is the city with the most obvious downward trend in winter and summer, with decline rates of 0.35 °C/(10 a) and 0.66 °C/(10 a), respectively. By contrast, the most obvious increase is found in Zengcheng in the Pearl River Delta and Renhua in northern Guangdong, with increase rates of 0.30 °C/(10 a) and 0.32 °C/(10 a), respectively. (4) In the past 50 years, the annual average ground-air temperature difference between northern Guangdong and the Pearl River Delta has shown an insignificant downward trend, with a decrease rate of 0.061 °C/(10 a). An increasing trend is found in northern Guangdong with an increase rate of 0.3 °C/(10 a), whereas a downward trend is found in the Pearl River Delta with a decrease rate of 0.16 °C/(10 a). (5) The monthly variation of the ground-air temperature difference in northern Guangdong has a single-peak structure, while that in the Pearl River Delta has a double-peak structure. The minimum ground-air temperature difference between the two places is in March, the peak in northern Guangdong is in July, and the peak in the Pearl River Delta is in July and October. Moreover, the annual average temperature and the ground-air temperature difference in summer in the Pearl River Delta both changed abruptly in 1992. There are differences in the spatio-temporal distribution of ground-air temperature difference between northern Guangdong and the Pearl River Delta. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
36. Influence of changes in local environmental variables on the distribution and abundance dynamics of wintering Teal Anas crecca.
- Author
-
Vallecillo, David, Guillemain, Matthieu, Bouchard, Colin, Roques, Sébastien, and Champagnon, Jocelyn
- Subjects
WETLAND hydrology ,WETLAND management ,WETLANDS ,NATURE reserves ,ANIMAL species ,WATERFOWL - Abstract
Explaining changes in waterfowl distribution and abundance is requested by wetland managers for a better understanding of their population dynamics and habitat use. The objective of this study was to assess the influence of interannual changes in wetland management, both through direct data and proxies, on the distribution dynamics of Teal day-roosts in the Camargue, a large wetland complex in southern France. We constructed a state-space model accounting for a conditional detection probability by aerial observers during duck counts, since changes in observers have a strong influence on variations in detection probability. First, we showed that the distribution of Teal day-roosts within the Camargue delta has changed over the last 35 years. Second, on a sub-sample of 18 years, we showed that annual changes in Teal abundance depended on salinity and open water area at the day-roost, and on the availability of potential feeding grounds surrounding the day-roost (available wetland area within 5 km). No association was detected between changes in Teal abundance and changes in the typology of wetland hydrology, or with changes in site protection status (i.e. hunted to protected). Our results reinforce the importance of considering management at the scale of functional units, by considering the complementarity of nocturnal feeding areas (mainly hunted areas) specifically managed for waterfowl, and diurnal roosts (mainly nature reserves, which have high conservation value for other animal and plant species). A good understanding of the factors affecting the localisation of waterfowl day-roosts is becoming more important in the context of climate change, which is likely to redistribute local birds with rising sea levels and increasing salinity in wetlands. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
37. Spatial Analysis: Where Are They Now After Graduation?
- Author
-
Zaki, Nur Rasyiqah, Abidin, Aida Wati Zainan, Striełkowski, Wadim, Editor-in-Chief, Black, Jessica M., Series Editor, Butterfield, Stephen A., Series Editor, Chang, Chi-Cheng, Series Editor, Cheng, Jiuqing, Series Editor, Dumanig, Francisco Perlas, Series Editor, Al-Mabuk, Radhi, Series Editor, Scheper-Hughes, Nancy, Series Editor, Urban, Mathias, Series Editor, Webb, Stephen, Series Editor, Suryanto, Tulus, editor, Sulejmani, Liza Alili, editor, Ali, Juhary, editor, Rena, Ravinder, editor, Grima, Simon, editor, and Piryu, Ramona, editor
- Published
- 2023
- Full Text
- View/download PDF
38. The Spatio-temporal Distribution of the Start-end Date and Freezing Depth and their Relationships with Air Temperature over the Western China
- Author
-
Yueqi LI, Jun WEN, Wenhui LIU, Yihao CHEN, Yaling CHEN, Qiang ZHANG, and Zhen LIU
- Subjects
the western china ,soil freeze-thawing ,thickness of active layer ,maximum freezing depth ,spatio-temporal distribution ,Meteorology. Climatology ,QC851-999 - Abstract
Permafrost have a critical impact on the infrastructure construction, hydrology and ecology in the cold region.Under the background of global warming, it is of great significance to explore soil freeze-thawing cycle over the Western China.Based on the natural geographical and permafrost characteristics, the western region of China is divided into four sub-regions as the study region of this investigation.The ERA-5 surface temperature, soil volumetric water content and monthly air temperature data from January 1981 to June 2020 are to be deployed in analyzing the spatio-temporal distribution of soil freeze-thawing status, the active layer thickness and maximum freezing depth over the western China in the past 40 years.the correlationship between variables of freeze-thawing cycles and air temperature and altitude are discussed.The results show that: the spatio-temporal distribution of the start date of freezing and thawing has the characteristics of delayed freezing and early thawing from high-altitude areas to low-altitude areas over the western region.The high-altitude northern Tibetan plateau freezes the earliest, thaws the last, and freezes the longest.The sporadic areas on the Kunlun Mountains can last for more than 300 days.The Tarim Basin in the west-northwest with low altitude and low soil moisture content freezes the latest, melts the earliest, and lasts the longest.The melting in the Taklimakan Desert can last for more than 280 days.The thickness of the permafrost active layer is basically more than 2.0 m, only the area near the Karakoram Mountains has a large area with a thickness of less than 2 meters.the seasonal frozen soil of the Qinghai-Tibet Plateau has the largest freezing depth, and the thickness can reach more than two meters, and the Tarim Basin shows a shallowest freezing depth, and the thickness is less than 0.6 m.The start date of freezing was delayed over the western region, and the start date of thawing was advanced.The date of start freezing and the date of completely frozen increased at a rate of 0.089 d·a-1and 0.061 d·a-1.The date of start thawing and the date of completely thawed decreased at a rate of 0.102 d·a-1 and 0.156 d·a-1.When the freezing trend is rising and the thawing trend is declining, the duration of completely thawed increased by about 12 days at a rate of 0.256 d·a-1, and the duration of completely frozen is shortened by about 11 days with a rate of 0.164 d·a-1, during the study period, the start date of completely thawed was mutated in 1996.The date of start freezing and the duration of completely thawed were abrupted changed in 1997.The overall change trend of the start date of the freezing and thawing is the same over the western region, but there are locally slight differences.The duration of start freezing and completely frozen of the Loess Plateau decreased the fastest at the rate of 0.166 d·a-1 and 0.405 d·a-1.The duration of start freezing and the duration of completely frozen were shortened by around 7 and 16 days.The trends in the duration of completely melt period in all four regions showed an upward trend.However, the duration of completely frozen rises rapidly at a rate of 0.435 d·a-1 over the Loess Plateau, and increase about 17 days during 1981 -2020.There is a significant correlation between the start dates of freezing and thawing and the annual average temperature and altitude.The correlation between the annual average temperature and all freeze-thaw times exceeded 0.79, and the negative correlation between the date of completely thawed and the annual average temperature was as high as 0.963.The start date of freezing was delayed by 2.03 days per 1.0 ℃ increase, the start date of complete freezing was delayed by 2.12 days, and the start dates of completely thawed and frozen were advanced by 5.10 and 5.17 days, respectively.The start dates of freezing and completely frozen are advanced by 6.1 days and 4.5 days per 1000 m rise in altitude, respectively, and the start dates of thawing and freezing are delayed by 14.4 days and 19.9 days, respectively.This research clarifies the situation of soil freezing and thawing and its variation in the past years over the western China, and provides a scientific supports for the ecological system and infrastructure construction over the western region.
- Published
- 2023
- Full Text
- View/download PDF
39. Dynamic changes in net primary productivity of marsh wetland vegetation in China from 2005 to 2015
- Author
-
Cheng Zhang, Haobei Zhen, Shanghong Zhang, and Caihong Tang
- Subjects
Net primary productivity ,Wetland vegetation ,CASA ,Spatio-temporal distribution ,Climate effects ,Ecology ,QH540-549.5 - Abstract
Wetlands are one of the world's three major ecosystems. Marsh wetland vegetation, with its unique characteristics, is playing an increasingly prominent role in absorbing atmospheric carbon dioxide and mitigating climate warming. This study estimated the annual, seasonal, and monthly trends of marsh wetland vegetation net primary productivity (NPP) in China from 2005 to 2015 based on the Carnegie–Ames–Stanford approach (CASA) model. The temporal and spatial characteristics of NPP were analyzed and the driving factors were discussed. The results showed that the annual marsh wetland vegetation NPP had an increasing trend from 2005 to 2015 on national scale in China, with the lowest and highest values in 2005 (202.03 gCm−2a−1) and 2015 (222.58 gCm−2a−1), respectively. The monthly seasonal variations in marsh wetland vegetation NPP consistent with the typical growth pattern of vegetation observed in China. Monthly marsh wetland vegetation NPP showed a unimodal distribution, and May to September were the main months for NPP accumulation. The highest vegetation NPP values occurred during the summer season. Marsh wetland vegetation types did impact the NPP distribution, Gramineous marsh vegetation contributed most to the total NPP (29%). Spatially, the NPP was higher in east than in the west, and higher in the center than in the south and north. An overall positive impact of precipitation and temperature on the Chinese marsh wetland vegetation NPP was revealed. The study recommended to give greater attention the conservation of Gramineous vegetation alongside the overall protection of Chinese marsh wetlands. Our findings can offer important evaluation results and guidance for the future addressing climate change and conservation and maintenance of the carbon sink capacity of marsh wetland vegetation in China.
- Published
- 2023
- Full Text
- View/download PDF
40. Spatio-temporal disparities of Clonorchissinensis infection in animal hosts in China: a systematic review and meta-analysis.
- Author
-
Liu, Kai, Tan, Jing, Xiao, Lu, Pan, Rui-Tai, Yao, Xiao-Yan, Shi, Fu-Yan, Li, Shi‐Zhu, and Li, Lan‐Hua
- Subjects
- *
DATABASES , *SCATTER diagrams , *INFECTION , *TREMATODA , *SNAILS - Abstract
Background: Clonorchissinensis, one of the most important food-borne zoonotic trematodes, remains prevalent in China. Understanding its infection status in animals is crucial for controlling human clonorchiasis. Here we conducted a systematic review and meta-analysis to focus on the spatio-temporal disparities of C.sinensis infection in animals in China. Methods: Data on C.sinensis prevalence in snails, the second intermediate hosts, or animal reservoirs in China were extracted from electronic databases including PubMed, Embase, Web of Science, Chinese Wanfang database, CNKI, VIP, and China Biomedical Literature database. A random-effects meta-analysis model was utilized to estimate the pooled prevalence in each of the above animal hosts. Subgroup analysis and multivariable meta-regression were performed to explore potential sources of heterogeneity across studies and compare the temporal disparity of infection rates between high and low epidemic areas. Scatter plots were used to depict the biogeographical characteristics of regions reporting C.sinensis infection in animals. Results: The overall pooled prevalence of C.sinensis was 0.9% (95% CI: 0.6–1.2%) in snails, 14.2% (12.7–15.7%) in the second intermediate host, and 14.3% (11.4–17.6%) in animal reservoirs. Prevalence in low epidemic areas (with human prevalence < 1%) decreased from 0.6% (0.2–1.2%) before 1990 to 0.0% (0.0–3.6%) after 2010 in snails (P = 0.0499), from 20.3% (15.6–25.3%) to 8.8% (5.6–12.6%) in the second intermediate hosts (P = 0.0002), and from 18.3% (12.7–24.7%) to 4.7% (1.0–10.4%) in animal reservoirs. However, no similar decrease in prevalence was observed in high epidemic areas (with human prevalence ≥ 1.0%). C.sinensis infections were predominantly reported in areas with altitudes below 2346 m and annual cumulative precipitation above 345 mm and were mostly concentrated in eastern China. Conclusions: There are spatio-temporal disparities in the animal infections of C.sinensis in different areas of China. Animal infections are primarily concentrated in regions with low altitude and high precipitation. The results suggest that implementing One Health-based comprehensive measures targeting both humans and animals, especially in high epidemic areas, is essential for successful eradication of C.sinensis in China. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
41. 民國時期四川省霍亂流行的時空規律及驅動因素.
- Author
-
閆晉博, 張濤, and 龔勝生
- Subjects
COMMUNICABLE diseases ,CHOLERA ,AUTUMN ,EPIDEMICS ,DETECTORS ,FLOODS - Abstract
Copyright of Journal of Central China Normal University is the property of Huazhong Normal University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2023
- Full Text
- View/download PDF
42. Spatio-temporal characteristics of meteorological drought based on the MCI of Penman–Monteith.
- Author
-
Yu, Haixia, Yang, Dandan, Liu, Bingjun, Fu, Jianyu, and Liang, Zhihao
- Subjects
DROUGHTS ,DROUGHT management ,CLIMATE change ,SPATIOTEMPORAL processes ,ORTHOGONAL functions ,SPRING - Abstract
The increasing global climate change has resulted in more frequent drought disasters, and using the drought index to assess spatial and temporal changes accurately is of practical importance. In this study, the Spatio-temporal evolution characteristics of different drought indicators at annual and seasonal scales were analyzed by combining spatial interpolation, correlation analysis, trend tests, and the empirical orthogonal function based on the meteorological drought composite index (MCI) of Penman–Monteith. The study focused on drought research in the Pearl River basin from 1961 to 2020. The results indicated that (1) on the annual scale, drought exhibited a high spatial distribution in the west and low in the east, as well as high in the south and low in the north. The frequency, intensity, and extent displayed a non-significant decreasing trend, with the drought degree being mild in the past ten years. (2) On the seasonal scale, drought exhibited seasonal variability, particularly in spring and autumn, which were inversely distributed. Summer drought was the least severe, with the drought range mostly below 10%, while winter drought was the severest, exceeding 50%, indicating an areawide drought. (3) The consistent change of drought intensity across the basin is the primary mode, and the reverse distribution of east–west and north–south is the secondary mode. The overall higher year of drought intensity is close to 24 years, and the overall lower year is close to 28 years. The study based on the MCI can provide a reference for drought research and management in different regions. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
43. The evolution of prehistoric arrowheads in northern China and its influential factors.
- Author
-
Yao, Juanting, Xia, Huan, Li, Ting, Lin, Dongpeng, Li, Yuanxin, Shen, Xuke, Wang, Jian, and Zhang, Dongju
- Subjects
- *
MIDDLE Paleolithic Period , *PREHISTORIC tools , *ARROWHEADS , *SPATIO-temporal variation , *PALEOLITHIC Period , *NEOLITHIC Period - Abstract
Prehistoric projectile weapons are crucial for understanding the hunting behavior, survival strategies, and subsistence patterns of prehistoric humans. Arrowheads were the primary prehistoric projectile weapon, and here we review the spatio-temporal distribution and changes in the morphology, quantity, and materials composition of arrowheads in the northern regions of China from the Middle and Upper Paleolithic periods to the Bronze Age, together with the factors that influenced these changes. The results reveal that primitive stone arrowheads appeared sporadically in the Middle Paleolithic period. Additionally, the "broad spectrum revolution" and microblade technology during the Upper Paleolithic promoted the regional-scale diffusion of broad and thick stone arrowheads in northern China. During the Neolithic period, relatively narrow and thin stone and bone arrowheads spread rapidly across the entire Yellow River Basin and most of northeastern China. The dominance of these two types of arrowheads alternated, during the period of 7000–5000 yr BP, the number of arrowheads peaked, possibly closely related to changes in the role of hunting (fishing and hunting) and gathering in the subsistence economy, human population size, and the emergence and development of a grinding technology. During the Bronze Age, a significant number of bronze arrowheads appeared, and the total number of arrowheads increased again, and their distribution expanded to northwestern China. The emergence of a bronze smelting technology and inter-group conflicts may have been the primary factors influencing this trend. Our results demonstrate that arrowheads were always an essential component of prehistoric tool kits. Due to technological developments in subsistence strategies, the morphology, function, and popularity of arrowheads underwent substantial changes during different periods. Therefore, a comprehensive study of prehistoric arrowheads can help better understand the subsistence patterns and processes of economic and societal development of prehistoric humans. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
44. Effect of cold start and vehicle trip characteristics on spatio-temporal distribution of vehicle emissions.
- Author
-
Jiang, Yun, Liu, Anran, Song, Guohua, Yin, Hang, Zhai, Zhiqiang, Wu, Yizheng, and Yu, Lei
- Subjects
- *
AUTOMOBILE travel , *CARBON monoxide , *AIR pollution , *DYNAMIC models - Abstract
Quantifying the effect of light-duty vehicle trip characteristics and cold-start extra emissions (CSEEs) on the spatio-temporal distribution of vehicle emissions at the urban scale facilitates dynamic modeling of emissions and assessment of human exposure in denser settings. The results of Beijing demonstrate that cold starts and CSEEs are predominantly distributed in peak hours, especially morning peaks. A total of 80.8% of the morning peak trips are cold-start trips, and CSEEs account for 64.2%, 50.1%, and 8.3% of carbon monoxide (CO), hydrocarbon (HC), and nitrogen oxide (NOX) in the winter morning peaks, respectively. The fraction of CSEEs for CO, HC, and NOX increases by 49.1%, 54.6%, and 36.7%, respectively, when trip length decreases from more than 35 km to less than 5 km. By converting 50% of the short automobile trips to non-motorized modes, CSEEs decrease by 12.9%, 13.4%, and 12.9% of CO, HC, and NOX of the entire road network. CSEEs are mainly distributed on local roads and minor arterials with high air pollution exposure for pedestrians and cyclists, accounting for 68.1% and 21.4%. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
45. 乡村经济韧性的时空分布及组态影响因素.
- Author
-
唐 欣 and 谢诗蕾
- Abstract
Copyright of Journal of Shenzhen University Humanities & Social Sciences is the property of Journal of Shenzhen University (Humanities & Social Sciences) Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2023
46. Spatio-Temporal Evolution of Carbon Emission in China's Tertiary Industry: A Decomposition of Influencing Factors from the Perspective of Energy-Industry-Consumption.
- Author
-
Li, Zhengyang, Wang, Yukuan, Lu, Yafeng, and Ghimire, Shravan Kumar
- Subjects
- *
CARBON emissions , *ENERGY consumption , *SPATIOTEMPORAL processes , *INDUSTRIAL energy consumption , *ENERGY conservation , *GREENHOUSE gas mitigation , *INDUSTRIALIZATION , *SPATIO-temporal variation - Abstract
The development of the tertiary industry is of great significance for promoting industrial structure, optimizing and upgrading it, and achieving regional energy conservation and emission reduction goals. This study adopts a quantitative method to analyze the spatio-temporal pattern of carbon emissions from China's tertiary industry from 2004 to 2019. In order to analyze emissions from aspects such as energy structure, energy intensity, energy carrying capacity, industrial structure, level of industrial development, income level, consumption capacity, energy consumption intensity, and population size, this study establishes a hybrid factor decomposition model called the "energy-industry-consumption" research framework. The study shows that carbon emissions from China's tertiary industry have been increasing year by year from 2004 to 2019, with a growth rate of 353.10%. Transportation is the largest contributor to the increase in carbon emissions from China's tertiary industry. The carbon emissions from the tertiary industry in each province show four types: high-speed growth, low-speed growth, fluctuating growth, and stable growth. During the study period, carbon emissions produce a spatial heterogeneity with the highest emissions in the south and lowest in the northwestern part of China. The spatial pattern of per capita carbon emissions is not significant. Guangdong has the highest carbon emissions, and Shanghai and Beijing have higher per capita carbon emissions. Industrial factors and consumption factors have a positive effect on carbon emissions in China's tertiary industry, while energy factors have a negative effect. The leading factor of carbon emissions in China's tertiary industry has gradually shifted from energy to industry. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
47. 基于遥感降水的西江流域降水时空特征分析.
- Author
-
秦湛博, 方荣杰, 黄光灵, 粟忠, and 许景璇
- Subjects
METEOROLOGICAL stations ,WATER supply ,WATERSHEDS ,FLOODS ,DROUGHTS - Abstract
Copyright of Pearl River is the property of Pearl River Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2023
- Full Text
- View/download PDF
48. BTEX in Ambient Air of Zarand, the Industrial City in Southeast of Iran: Concentration, Spatio-temporal Variation and Health Risk Assessment.
- Author
-
Maleky, Sobhan and Faraji, Maryam
- Abstract
The existence of several industries in Zarand, a city in Southeastern Iran, caused challenges for the residents about air pollutants and associated health effects. In the present study, the concentration of benzene, toluene, ethylbenzene, and xylene (BTEX), spatio-temporal distribution and related health risks were evaluated. Passive samplers were used to collect 30 samples in the over the hot and cold periods in 2020. The ordinary Kriging method was used to predict the spatio-temporal distribution of BTEXs. Also, the Monte Carlo simulation was used to evaluate the related carcinogenic and non-carcinogenic risks of BTEX for adults. The ranking of mean concentration of overall toluene, xylene, ethylbenzene, and benzene followed as 82.49 ± 26.86, 30.91 ± 14.04, 4.75 ± 3.28, and 0.91 ± 0.18 µg/m
3 , respectively. The mean value of lifetime carcinogenic risk (LTCR) for residents related to benzene was 7.52 × 10− 6 , indicating a negligible carcinogenic risk for them. Furthermore, the ranking of non-carcinogenic risk calculated through hazard quotient (HQ) for investigated BTEX compounds followed as xylene > benzene > toluene > ethylbenzene over the hot period and xylene > toluene > ethylbenzene over the cold period which all points had HQ < 1. Additionally, according to the findings of the sensitivity analysis, the concentration of benzene was the main contributor in increasing the carcinogenic risk. According to our results, it can be stated that the existence of several industries in the study area could not possibly occur the significant carcinogenic and non-carcinogenic risks to the adults residents in the study period. Human studies are recommended to determine definite results. [ABSTRACT FROM AUTHOR]- Published
- 2023
- Full Text
- View/download PDF
49. Electric Vehicle Charging Load Prediction Model Considering Traffic Conditions and Temperature.
- Author
-
Feng, Jiangpeng, Chang, Xiqiang, Fan, Yanfang, and Luo, Weixiang
- Subjects
ELECTRIC vehicles ,ELECTRIC power consumption ,MONTE Carlo method ,PREDICTION models ,VEHICLE models - Abstract
The paper presents a novel charging load prediction model for electric vehicles that takes into account traffic conditions and ambient temperature, which are often overlooked in conventional EV load prediction models. Additionally, the paper investigates the impact of disordered charging on distribution networks. Firstly, the paper creates a traffic road network topology and speed-flow model to accurately simulate the driving status of EVs on real road networks. Next, we calculate the electric vehicle power consumption per unit kilometer by considering the effects of temperature and vehicle speed on electricity consumption. Then, we combine the vehicle's main parameters to create a single electric vehicle charging model, use the Monte Carlo method to simulate electric vehicle travel behavior and charging, and obtain the spatial and temporal distribution of total charging load. Finally, the actual traffic road network and typical distribution network in northern China are used to analyze charging load forecast estimates for each typical functional area under real vehicle–road circumstances. The results show that the charging load demand in different areas has obvious spatial and temporal distribution characteristics and differences, and traffic conditions and temperature factors have a significant impact on electric vehicle charging load. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
50. 基于TROPOMI的石家庄市NO2柱浓度时空分布及来源分析.
- Author
-
刘博涵, 袁金国, 李艳翠, and 王景芝
- Abstract
Copyright of Environmental Science & Technology (10036504) is the property of Editorial Board of Environmental Science & Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2023
- Full Text
- View/download PDF
Catalog
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.