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China has committed to peak carbon emissions by 2030 and become carbon neutral by 2060. Hebei, as a major energy province in China, has more challenging carbon peaking and carbon neutrality targets. Based on the extended STIRPAT model, this paper evaluates the time to peak carbon and post-peak carbon trend changes in Hebei province under different scenarios from 2020 to 2060. Based on the support vector machine model with particle swarm optimization, this paper evaluates the carbon neutral pathways under different scenarios in Hebei province from 2020 to 2060 in terms of forests, croplands, wetlands, grasslands and Carbon Capture, Utilization and Storage (CCUS). The results show that a monotonically flat trend without inflection point, a single-inflection-point plateau-period trend and a multi-inflection-point inverted U-wave trend occur after carbon peaks. Hebei Province can achieve carbon neutrality by 2060 under the policy scenario and the enhanced scenario, and the enhanced scenario is better. Comparing with existing studies, the innovation of this paper is to design different trends of changes after carbon peak, combining carbon absorption and carbon emission, and providing more diversified development paths for carbon neutral strategies through a more integrated perspective and multi-scenario comprehensive analysis. Therefore, In the future, Hebei Province should establish a platform for carbon emissions monitoring and carbon footprint assessment, and set up an early warning and assessment mechanism for carbon peaking, so as to prevent a rebound trend in carbon emissions after peaking. At the same time, it should introduce and develop carbon capture and conversion technologies and promote the low-carbon transformation of the industrial and energy sectors, thereby forcing the early realization of peak carbon. Pay attention to the role of forestry resources in carbon neutrality, increase carbon sink resources such as forests and wetlands, promote the development of CCUS, and enhance the implementation of the policy. [ABSTRACT FROM AUTHOR]

[Display omitted] • 2010-2018: Ecological-economic coordination was highest in Hebei and lowest in Tianjin. • The ecological-economic coordination degree of various regions has obvious spatial spillover effects. • Improved functional and development tactics and policy reforms can strengthen ecological-economic development relations. The Beijing-Tianjin-Hebei region is an integral part of the ecology and economy of northern China. Unique geographical factors closely interlink the regions; however, limited attention has been paid to urban clusters' ecological and economic spatial linkages. Therefore, this paper introduces Ecosystem service value and Ecological-economic coordination degree, considering extensive spatial spillover effects within the region under study. This paper adopts spatial autocorrelation and the spatial Durbin model to detect the coordination relationship. Moreover, examine the influence of population growth, sales of consumer goods, health facilities, green areas, and Tertiary Industry on Ecological-economic coordination. The relationship is tested economic growth, using the internal and external Thus, it determines that the change of coordination degree shows a "V"-shaped development in time and space and gradually realizes the overall coordinated development. It affirmed the judgment that the Ecological-economic coordination degree of each region has an obvious spatial spillover effect. Policy reforms, improved functions, and development mechanisms can enable the balanced and healthy development of the region's ecological and economic systems. [ABSTRACT FROM AUTHOR]

Atmospheric oxidizing capacity (AOC) is an essential driving force of troposphere chemistry and self-cleaning, but the definition of AOC and its quantitative representation remain uncertain. Driven by national demand for air pollution control in recent years, Chinese scholars have carried out studies on theories of atmospheric chemistry and have made considerable progress in AOC research. This paper will give a brief review of these developments. First, AOC indexes were established that represent apparent atmospheric oxidizing ability (AOIe) and potential atmospheric oxidizing ability (AOIp) based on aspects of macrothermodynamics and microdynamics, respectively. A closed study refined the quantitative contributions of heterogeneous chemistry to AOC in Beijing, and these AOC methods were further applied in Beijing-Tianjin-Hebei and key areas across the country. In addition, the detection of ground or vertical profiles for atmospheric OH·, HO 2 ·, NO 3 · radicals and reservoir molecules can now be obtained with domestic instruments in diverse environments. Moreover, laboratory smoke chamber simulations revealed heterogeneous processes involving reactions of O 3 and NO 2 , which are typical oxidants in the surface/interface atmosphere, and the evolutionary and budgetary implications of atmospheric oxidants reacting under multispecies, multiphase and multi-interface conditions were obtained. Finally, based on the GRAPES-CUACE adjoint model improved by Chinese scholars, simulations of key substances affecting atmospheric oxidation and secondary organic and inorganic aerosol formation have been optimized. Normalized numerical simulations of AOIe and AOIp were performed, and regional coordination of AOC was adjusted. An optimized plan for controlling O 3 and PM 2.5 was analyzed by scenario simulation. [Display omitted] [ABSTRACT FROM AUTHOR]

Gangnan Reservoir is an important water source of Shijiazhuang, the seat of northern China's Hebei Province. The irregular shape of the reservoir makes it easy for water to stop flowing in bays, forming dead water areas. Serious water quality problems will ensue. To disclose the influence of a water diversion project on the water exchange in Gangnan Reservoir, this paper sets up a hydrodynamic and water exchange model for the reservoir based on the convection–diffusion theory. According to different diversion flows and wind fields, a total of 12 working conditions was configured to numerically simulate the water exchange in the reservoir. The results show that: the diversion flow is the main factor affecting the water exchange rate. In the main reservoir areas, the water exchange rate increases gradually, finally, it can reach a relatively high level. In the bay areas, the water exchange rate is relatively small, and affected by the diversion flow and the bay location. The wind field has different impacts on the water exchange rate in the main reservoir areas and the bay areas. The impact is small in the former areas, yet significant in the latter areas. When it is not windy, the residence time decreases with the increase of the flow. When it is windy, the wind field of each direction shortened the residence time in the bay areas, while increased that in the main reservoir areas. Furthermore, the transport and diffusion law of water pollutants in Gangnan Reservoir was analyzed by the connectivity matrix: When the main reservoir areas are polluted, the pollutants greatly affect the main reservoir areas; When the bay areas are polluted, the pollutants only affect some adjacent water bodies. The research findings provide scientific reference for the diversion operation of Gangnan Reservoir. [ABSTRACT FROM AUTHOR]

Pollution havens create environmental inequality issues. China's recent policy of directing high-pollution firms to migrate out of its capital, Beijing, offers a case of a pollution haven that was mandated, rather than resulting from firms' responses to environmental regulation. More importantly, it leads to a question that has been less discussed in previous literature: does a pollution haven strike back? After the highly polluting enterprises moved out of Beijing to neighboring Hebei province, Hebei has been blamed for the continuing poor air quality in Beijing, based on a perception that the pollutants emitted in Hebei are being blown back to Beijing. This paper investigates the existence of a pollution haven in Hebei and quantifies the contribution of Hebei's emissions to Beijing's air quality. We find that the proportion of output values and the relative concentration of high-pollution industries in Hebei increased when the large-scale out-migration began, while the indicators in Beijing decreased. We also find higher emissions of enterprises in Hebei than their counterparts in Beijing. Together, these findings indicate the existence of a "manmade" pollution haven. Further, based on high-frequency spatial data, we combine an Autoregressive Distributed Lag model and a Spatial Autoregressive Model and decompose the factors that affect Beijing's air quality into local and regional transport of air-borne pollutants. We find a significant effect of the neighboring cities' air pollution on Beijing's air quality. This indicates that the pollution haven indeed struck back. These findings imply the importance of regional policies to control air pollution. [ABSTRACT FROM AUTHOR]

Colour impairments influences access to geographical information which is usually represented by colour maps. Three dimensions of colour: Hue, Saturation and Value (HSV), are intuitive and most critical visual variables in map design. In this paper, we specifically focus on colour deficiency of red-green colour impairments. A controlled experiment was designed and conducted to explore how three colour dimensions (HSV) affect the abilities of people with normal colour vision or with red-green colour impairments to distinguish colours in maps. An eye-tracking approach was applied to quantify the accuracy and response time by capturing user eye movements to analyse the effectiveness and efficiency. In this study, we used one section of the administrative map of Hebei Province to test participant responses to area features. Differences of effectiveness and efficiency across normal colour vision and red-green colour impairments were compared. Multiple comparisons among Hue, Saturation and Value were analysed. Results show that for both normal colour vision and red-green colour impairments, Hue is the most differentiable than Saturation and Value. Saturation and Value are at the same level to be differentiated and more difficult to be distinguished. Guidelines of designing maps for both normal colour vision and red-green colour impairments were derived. The results of this study can be helpful to improve the map designs for colour deficiency. [ABSTRACT FROM PUBLISHER]

Coastal wetland ecosystems are critical due to their diverse ecological and economic benefits, yet they have been significantly affected by human activities over the past century. Understanding the spatiotemporal changes and underlying factors influencing these ecosystems is crucial for developing effective ecological protection and restoration strategies. This study examines the Tianjin–Hebei coastal wetlands using topographic maps from the 1940s and Landsat satellite imagery from 1975, 2000, and 2020, supplemented by historical literature and field surveys. The aim is to analyze the distribution and classification of coastal wetlands across various temporal intervals. The findings indicate an expansion of the Tianjin–Hebei coastal wetlands from 7301.34 km2 in the 1940s to 8041.73 km2 in 2020. However, natural wetlands have declined by approximately 44.36 km2/year, while constructed wetlands have increased by around 53.61 km2/year. The wetlands have also become increasingly fragmented, with higher numbers of patches and densities. The analysis of driving factors points to human activities—such as urban construction, cultivated land reclamation, sea aquaculture, and land reclamation—as the primary contributors to these changes. Furthermore, the study addresses the ecological and environmental issues stemming from wetland changes and proposes strategies for wetland conservation. This research aims to enhance the understanding among researchers and policymakers of the dynamics and drivers of coastal wetland changes, as well as the major challenges in their protection, and to serve as a foundation for developing evidence-based conservation and restoration strategies. [ABSTRACT FROM AUTHOR]

Public health emergencies influence urban carbon emissions, yet an in-depth understanding of deviations between regional emissions under such emergencies and normal levels is lacking. Inspired by the concept of resilience, we introduce the concept of regional carbon resilience and propose four resilience indicators covering periods during and after emergencies. A synthetic difference-in-differences model is employed to compute these indicators, providing a more suitable approach than traditional methods assuming unchanged levels before and after emergencies. Using the COVID-19 pandemic in China as a case study, focusing on the power and industry sectors, we find that over 40% regions exhibit strong resilience (> 0.9). Average in-resilience (0.764 and 0.783) is higher than post-resilience (0.534 and 0.598) in both sectors, indicating lower resilience during than after emergencies. Significant differences in resilience performance exist across regions, with Hebei (0.93) and Hangzhou (0.92) as top performers, and Qinghai (0.29) and Guiyang (0.36) as the least resilient. Furthermore, a preliminary correlation analysis identifies 22 factors affecting carbon resilience; higher energy consumption, stronger industrial production, and a healthier regional economy positively contribute to resilience with coefficients over + 0.3, while pandemic severity negatively impacts resilience, with coefficients up to -0.58. These findings provide valuable references for policymaking to achieve carbon neutrality goals. [ABSTRACT FROM AUTHOR]

Copyright of Coal Science & Technology (0253-2336) is the property of Coal 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.)

Based on the four aspects of economic development, scientific and technological innovation, ecological environment protection and shared coordination, this paper constructs a regional high-quality evaluation index system on three dimensions, namely target layer, criterion layer and index layer. The entropy method, comprehensive evaluation method and Gini coefficient were adopted to evaluate regional high-quality development and they are used to explore the balance of high-quality development of cities regionally. As the object of research, the data from 2010 to 2019 of 11 cities in Hebei was collected and conducted or processed. The research results indicate that economic growth is a key factor to promote the high-quality development of Hebei; the evaluation results reveal that the high-quality development among the 11 cities in Hebei have different scores; the balance analysis demonstrates that the high-quality development differences of cities in Hebei present a decreasing trend. [ABSTRACT FROM AUTHOR]

The Beijing-Tianjin-Hebei metropolitan cluster has inevitably brought many problems along with its vigorous economic development, one of which is environmental pollution. Based on our previous research, we clarified the mechanisms and characteristics of environmental pollution transfer in the Beijing-Tianjin-Hebei and surrounding regions, and this paper refered to the further correct delineation of the responsibility for environmental pollution control in Beijing-Tianjin-Hebei and the surrounding provinces. This study measureed the full cost of environmental pollution control and economic benefits in Beijing, Tianjin, Hebei and surrounding provinces in terms of the economic costs required for governance, and constructed an inequity index (CG index) to characterise the inequity in the share of costs borne and benefits by the aforementioned provinces. The results of the study showed that there is significant environmental inequity and inequality of responsibility in the process of regional trade among the provinces in and around Beijing, Tianjin, Hebei and the surrounding region. The developed provinces (Beijing and Tianjin) benefited more and bore less responsibility for pollution control due to their optimised industrial structure, producing more capital-intensive and high value-added industries, while provinces with heavy chemical, high pollution and labour-intensive industries, such as Hebei and Shanxi, developed their economies more in the primary and secondary sectors due to their irrational industrial structure, and therefore benefited less and bore more when trading goods with the developed provinces (Beijing and Tianjin) benefited less and took more responsibility for pollution control. Based on the above findings, policy recommendations are then put forward to provide suggestions and references for the collaborative management of environmental pollution in Beijing, Tianjin and Hebei. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Natural Resources / Ziran Ziyuan Xuebao is the property of Journal of Natural Resources 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.)

Copyright of Journal of Natural Resources / Ziran Ziyuan Xuebao is the property of Journal of Natural Resources 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.)

Purpose: Mentoring was considered as an efficient way to facilitate staff attachment with hotels. Such a strong attachment has been demonstrated to reduce employees' intention to quit. This study aims to investigate the mediating roles of organizational and occupational embeddedness in the relationships between mentoring functions and turnover intention. Design/methodology/approach: The responses were collected from a sample of 354 employees in four hotels group across three Chinese provinces. A structural equation model (SEM) was applied to test the model and mediating roles of organizational and occupational embeddedness. Findings: The results of SEM suggest that both organizational and occupational embeddedness mediated the relationships between mentoring functions (career and psychosocial support) and turnover intention. Specifically, employees who are able to receive successful mentoring can easily embed in their organization and occupation. Thus, these employees are reluctant to leave. Research limitations/implications: Although this study reveals the important role of mediation, it has several limitations. First, the data drawn from Hebei, Beijing and Zhejiang provinces may lack geography representativeness. Second, this paper neglects potential moderating role of certain personal or context factors. Third, the time lag between the three data collections are not the same. Practical implications: Managers should retain proper employees by introducing mentoring programs. Furthermore, to increase organizational and occupational embeddedness, managers should also consider the person-organization/occupation attachments of this industry. Originality/value: This study tests organizational and occupational embeddedness simultaneously as mediators between mentoring and turnover intention through data obtained from the Chinese hotels. [ABSTRACT FROM AUTHOR]

This paper aims to explore the development strategies of Beijing-Tianjin-Hebei port cluster. Based on the data of Beijing-Tianjin-Hebei port cluster in 1980~2014, a VAR model was established with such four variables as total handling capacity, import and export, GDP and the employment. Then, the economic relationship between the port cluster and the hinterland was analysed by impulse response, and the four variables were subjected to the Grainger causality test. The results show that the total handling capacity of the port cluster has a positive effect on the import and export, GDP, and employment, but the increase in GDP is not the Granger-cause of the increase in the port cluster throughput. The GDP growth only has a short-term driving effect on the port cluster throughput. The long-term growth of port throughput largely depends on international economy. What is worse, the positive effect of port throughput on hinterland economy is rather limited. The research findings and suggestions provide meaningful reference for the research on port cluster economy. [ABSTRACT FROM AUTHOR]

The Beijing-Tianjin-Hebei Region (BTH) as a national strategic highland attracts attention with its haze problem. In particular, Hebei is a major emitter of carbon emissions in BTH. The establishment of the Xiong'an New District in Hebei, known as the "Millennium plan," faces complex and diverse development in the future, so the carbon emission prediction and influence mechanism are of great significance. This paper has made two improvements to the particle swarm optimization algorithm (PSO), then the improved algorithm is used to optimize parameters of the traditional support vector machine (SVM). Therefore, a new model, IPSO-SVM, is established. This paper uses the STIRPAT model to determine the impact factors, through 64 predict scenarios of 2017-2020 to reveal that economic growth is the most important factor of carbon emissions in Hebei, followed by resident population, industrial structure, urbanization level, energy structure, and technical level. In the case of positive economic development, the contribution of technology to carbon reduction will increase. Based on the "new normal," Hebei ought to develop sustainable urbanization and emphasis on the role of technology in low-carbon development to control carbon emissions. [ABSTRACT FROM AUTHOR]

Comprehensive harnessing of soil and water erosion can change the regional surface environment, improve ecological conditions, and promote regional social and economic development, which can also achieve good ecological, social, and economic benefits for the purpose of preventing and controlling soil erosion. Scientific evaluation of soil erosion comprehensive harnessing benefits is presented, and analysis of influencing factors is adopted, which is an important basis for further understanding of work effectiveness and optimization of governance measures. The research selects Taihang Mountain Area of Hebei Province as the research area. This paper evaluates the comprehensive treatment benefits of 16 typical small watersheds by multi-level fuzzy evaluation method, and uses the exponential, linear, logarithmic, power function and polynomial as the model. The correlation between land use type area and comprehensive treatment benefit was studied, and the corresponding improvement of management efficiency has been proposed in order to provide a reference for optimizing the comprehensive management mode of small watersheds in Taihang Mountain area and improving the efficiency of comprehensive management. [ABSTRACT FROM AUTHOR]

Copyright of Transactions of the Chinese Society of Agricultural Engineering is the property of Chinese Society of Agricultural Engineering 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.)

Copyright of Transactions of the Chinese Society of Agricultural Engineering is the property of Chinese Society of Agricultural Engineering 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.)

The way to calculate and share the total amount of ecological compensation for inter-basin water transfer project is directly related to the enthusiasm of the water-receiving area in participating in the ecological protection of the water source area. This paper takes the water source area of the South-to- North Water Diversion Project and the water-receiving areas of Beijing, Tianjin, Hebei and Henan as the research objects, and using the single-index method, the comprehensive index method and the deviation method to make appropriate calculation for the ecological compensation amount of 6.248 billion yuan paid to the water source area each year by the water receiving area. The results show that the method of deviation is more objective, comprehensive and reasonable, which can provide a new idea for the ecological compensation apportion calculation of the Central Line of South-to-North Water Diversion Project. [ABSTRACT FROM AUTHOR]

This paper was the first to employ land use regression (LUR) with high-resolution geographical census data for Hebei, one of the most severely polluted regions in China, to evaluate its spatial distribution characteristics of PM2.5 and NO2 concentrations and identify influencing factors. To develop the LUR model, PM2.5 and NO2 concentrations recorded at 53 sites in Hebei were selected as dependent variables. Independent variables include buffer-related and location-based factors. At first, 169 independent variables were chosen in total. Then pre-processing of bivariate correlation was performed to prevent multicollinearity. Lastly, step-wise regression was processed to identify the impacting factors. Different to other cities which have been studied like Shanghai or Beijing, we find that the results showed that PM2.5 and NO2 concentrations were positively correlated with the industrial pollution sources in a buffer area. NO2 concentrations displayed significant negative correlations with forestland within the distance of 1 km and from the coastline. This study showed that the introduction of high-resolution geographical data into the LUR model significantly improved the fitting. More importantly, our study identified industries within a 9 km-buffer as important influencing factors in Hebei and was also consistent with empirical observations. It provided data on effective buffers to support future policy-making and designations of residential areas. [ABSTRACT FROM AUTHOR]

Multiregion input–output (MRIO) models have become increasingly important in economic and environmental analysis. However, the current resolution of most MRIO models fails to capture the heterogeneity between subregions, especially in cities. The lack of city‐level MRIO tables has impeded the accomplishment of city‐level studies and hampered the understanding of the relationship between urban growth and consumption, and teleconnections to other regions. In this paper, we propose a partial survey‐based multiple‐layer framework for MRIO table compilation of a Chinese province that distinguishes city‐based regions. This framework can effectively address a large number of data processes and retain consistency between layers. Using the framework, we first compile a nested Hebei‐China city‐level MRIO table and then apply city‐level energy footprint accounting of the North China urban agglomeration. Our results present the critical role of Hebei cities in energy supply in 2012 and quantify energy use embodied in goods for the domestic trade. Tangshan, Shijiazhuang, and Handan are distinctive cities in the energy supply chain of other regions, for both less developed and developed regions. This multiple‐layer framework represents a feasible approach for developing subregional‐level MRIO models and offers the possibility to analyze global trade at the subregional level with limited data. The data and results from the analysis in this article are available for download from China Emission Accounts and Datasets. [ABSTRACT FROM AUTHOR]

The Chinese chestnut (Castanea mollissima Blume) is an essential and highly nutritious nut crop, and income from selling chestnuts is important for small producers. Despite chestnuts being widely planted, chestnut yields are decreasing in northern China. The hypothesis of this paper is that yield reduction is the result of complex topographic conditions, insufficient soil nutrients, unscientific fertilization, and limited availability of productive land. The objective was to create a plant social geospatial model-geographical detector for analyzing the strength of the association between chestnut yields and their potential determinants. In this model system, we used measured data from chestnut to highlight how a geospatial model can be used to identify complex relationships among soil, plants, and geospatial location. Four geographical detectors (i.e., risk, factor, ecological, and interaction) were proposed on the basis of spatial variation analysis. The model was then applied to Qianxi County of Hebei Province in China. Soil parent material, soil texture, and total power of farm machinery were found to be the key factors. The interactive effect of any two factors increased chestnut yield, and the interaction between parent material and total power of farm machinery resulted in the highest yield. The study's approach and findings make it possible to introduce effective and practical measures to increase chestnut yield. Strategies to increase chestnut yield need to be designed with spatial variables being considered. [ABSTRACT FROM AUTHOR]

We present an algorithm for P-phase arrival time automatic determination and optimization for microseismic events of a coal mine in steps. For P-phase detection, we apply four modules: single denoising (band-filter), fast searching (STA/LTA and peak value), accurately picking (AIC), and optimization selection (time difference of arrival time and envelope circle judgment). This method is applied for a precise determination of P-phase arrival time; in addition, an automatic quality estimate is obtained to optimize and select the effective stations and used for source location. Through the analysis and validation of seismic data in a mine located in Hebei province, the result shows that this method can pick up the first arrival time of MS signal fast and accurately and automatically judge and remove the error station. Comparing automatic picks with the manual method in terms of speed and accuracy, computation cost (0.828 s) is far less than manual method (15 s per set), precision of manual and automatic represented by picking error is up to 71.7% (between −5 ms and 5 ms, 190 sets), 83.4% (between −10 ms and 10 ms, 221 sets), and 90.57% (between −20 ms and 20 ms, 240 sets). This study shows that the method presented in this paper is feasible to precise automatic P-phase determination and is a basis on automatic and precision location. [ABSTRACT FROM AUTHOR]

Huang-Huai-Hai region is the major superiority area of planting industry and breeding industry in China. With the increasing attention to the rural environment problems caused by crop straw and livestock manures, it is important to analyze “raising by planting” in Huang-Huai-Hai region, realize agricultural waste comprehensive utilization, and implement green development. “Raising by planting” was the core idea of this paper. The “raising by planting” calculation methods were as follow. First, technical regulations for production of wheat-corn and field research results in Hebei, Henan and Shandong provinces were used to summarize production model of wheat-corn in Huang-Huai-Hai region. So the conventional fertilization could be defined. According to test results of researches, this paper determined the amount of partial replacement of chemical fertilizer by organic manures. At the same time, thermophilic aerobic composting was chosen as techniques of livestock manure comprehensive utilization. The untreated amount of livestock manures was calculated. Then, the quantities of different species of livestock and poultry were calculated. According to the technical regulations, the amount of nitrogenous fertilizer were 532.5, 562.5 and 575 kg/hm2 in Hebei, Henan and Shandong provinces. The ratio of partial replacement of chemical fertilizer by organic manures was 30%. So the amount of replacement were 159.75, 168.75 and 172.5 kg/hm2. At the same time, there were no influence on grain security after the replacement of chemical fertilizer by organic manures. Due to the additional application of organic manures promoted soil nitrogen leaching risk, the environmental risk assessment of nitrogen in arable farmland was used. Nitrogen input mainly consisted of nitrogenous fertilizer, organic manure converted from livestock manures, seed, straw returning, atmospheric dry and wet deposition and irrigation water. Nitrogen output mainly consisted of grain and straw. Grade of environment risk in farmland in Hebei, Henan and Shandong provinces were all medium risk. Nitrogen loss rate of thermophilic aerobic composting fromlivestock and poultry manures was 42.26%. Other calculation parameters of livestock and poultry production, such as feeding period, population structure, were defined by many research papers. So in production model of wheat-corn in Huang-Huai-Hai Region, 6 dairy cows, or 18 beef cattle, or 47 to 51 swine, 731 to 789 laying hens or 8062 to 8705 broilers per hectare were land carrying capacity. Besides, at the field scale, various factors, such as soil fertility and soil microbial, might affect the ratio of partial replacement of chemical fertilizer by organic manures. So more researches were needed in the amount of replacement. On account of medium environment risk in farmland, lowering the risks was necessary. Nitrogen input structure: 46.3% chemical fertilizer, 27.5% straw returning, 19.8% organic manure, 4.0% atmospheric dry and wet deposition, 2.0% irrigation water and 0.4% seed. So reducing straw returning was one of risk solutions. In simulation results, reducing corn stalk or wheat straw both lowered environment risk effectively. The results provide a reference for planting and raising combination in Huang-Huai-Hai region. [ABSTRACT FROM AUTHOR]

Copyright of Transactions of the Chinese Society of Agricultural Engineering is the property of Chinese Society of Agricultural Engineering 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.)

Abstract This paper builds an environmental Kuznets curve (EKC) multiple logistic regression model to analyze how socio-economic development impacts mainland China's coastal waters environment. China's coastal provinces have significantly different seawater quality at different stages of the seawater's EKC. Jiangsu and Hebei are still at the early stage of the seawater's EKC because of the large quantity of pollution-intensive industry, whereas the coastal provinces at the late stage of the seawater's EKC have presented obviously improved seawater quality based on adjustments in the industrial structure since 2001. Urbanization has a severe impact on the seawater quality of Shanghai and Zhejiang at the middle stage of the seawater's EKC. Furthermore, this paper proposes an overall strategy and several "tailored" strategies to address coastal waters environment improvement for current poorly targeted policies at different stages of the seawater's EKC. [ABSTRACT FROM AUTHOR]

Copyright of Transactions of the Chinese Society of Agricultural Engineering is the property of Chinese Society of Agricultural Engineering 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.)

Forest can adjust climate and provide resources for the development of the society and tourism as well as promote the progress of human civilization, which is of great significance to the survival and development of human beings. With the industrial development and the improvement of people's living standard, the development strength on forest resources is becoming higher than ever before. As forest resources are important resources which can maintain the ecological balance of the earth, its monitoring and protection is necessary. Hence, remote sensing technology has been developed for monitoring the changes of forest resources, which has the quickness characteristics and real-time spatial information acquisition and analysis capacities. This paper firstly introduced the geographical location, geomorphology, climate status, soil and vegetation types of Zhangjiakou City, Hebei Province and the basic theory of remote sensing monitoring such as vegetation spectral reflectance and normalized differential vegetation index (NDVI). Then, the NDVI was used to analyse the vegetation coverage and area ratio of Zhangjiakou City in 2006, 2010 and 2016. It was found that the vegetation coverage during the ten years from 2006 to 2016 showed an overall trend of growth. Conclusions: It is concluded that dynamic monitoring can effectively monitor and protect forest vegetation, which provided ideas for the follow-up forestry planning and ecological tourism development in Zhangjiakou. [ABSTRACT FROM AUTHOR]

Abstract With the wide application of big data technology and the continuous innovation of the financial industry, the development of Internet finance has become irreversible. The new financial model has improved the efficiency of financial services and formed new ways of payment and transaction. The traditional credit information system has been unable to meet the needs of the development of the financial industry. The research methods adopted in this paper mainly include literature research, case analysis and comparative analysis. The development process, current situation and characteristics of China's personal credit system, as well as the development process and current situation of China's personal credit system under Internet finance are analyzed. It also points out the main problems faced by China's personal credit reporting system under the Internet finance. Then, aiming at the specific problems faced by China's personal credit reporting system under Internet finance, this paper makes case studies of representative market-oriented credit reporting institutions such as Beijing, Tianjin and Hebei, and uses convolutional neural network to analyze the specific practices of these individual credit reporting institutions and achieves results. At the same time, it compares how different credit agencies make up for the shortcomings of personal credit reporting system. Finally, it draws the conclusion of perfecting the personal credit system of our country under the Internet finance, points out the new problems that may be brought by the superposition of various solutions, and puts forward the countermeasures and suggestions of perfecting the personal credit system of our country under the Internet finance. [ABSTRACT FROM AUTHOR]

In order to overcome the problems of poor understandability of the pattern recognition-based transient stability assessment (PRTSA) methods, a new rule extraction method based on extreme learning machine (ELM) and an improved Ant-miner (IAM) algorithm is presented in this paper. First, the basic principles of ELM and Ant-miner algorithm are respectively introduced. Then, based on the selected optimal feature subset, an example sample set is generated by the trained ELM-based PRTSA model. And finally, a set of classification rules are obtained by IAM algorithm to replace the original ELM network. The novelty of this proposal is that transient stability rules are extracted from an example sample set generated by the trained ELM-based transient stability assessment model by using IAM algorithm. The effectiveness of the proposed method is shown by the application results on the New England 39-bus power system and a practical power system — the southern power system of Hebei province. [ABSTRACT FROM AUTHOR]

Copyright of Plateau Meteorology is the property of Plateau Meteorology 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.)

Two types of farmer-level mechanisms have been traditionally adopted to increase agricultural water use efficiency in northern China: pricing mechanisms and tradable water rights systems. However, the reluctance of policymakers to exacerbate farmers' burdens has rendered pricing mechanisms politically infeasible, while tradable water rights systems involve prohibitively high transaction costs in rural China. An experiment conducted in 2005 in the Taocheng District of Hebei Province created a new kind of water-saving mechanism that involves a number of institutional innovations, including "flexible total management", "collect then refund" and "collect and subsidize, then refund". This paper evaluates the district's water-saving mechanisms based on efficiency, equity and operability criteria. The results of the analysis demonstrate that the "collect then refund" mechanism can more effectively enhance water use efficiency and reduce farmers' burdens than water pricing instruments, tradable water rights systems and flexible total management. Adequate infrastructure and trusted institutions are identified as necessary prerequisites for the successful implementation of the new water-saving mechanism. We believe the new mechanism has great potential to be scaled up. [ABSTRACT FROM AUTHOR]

Li, M.; Li, W.; Xu, Y.Q.; Lin, W., and Li, T., 2020. Evaluation of water resources carrying capacity of Bohai coast Jing-Jin-Ji regions. In: Gong, D.; Zhang, M., and Liu, R. (eds.), Advances in Coastal Research: Engineering, Industry, Economy, and Sustainable Development. Journal of Coastal Research, Special Issue No. 106, pp. 414–418. Coconut Creek (Florida), ISSN 0749-0208. Water resources are an irreplaceable natural resource for human survival and economic and social development and an important guarantee for sustainable economic and social development. This study looks at the ecological footprint of the water environment in coastal areas and evaluates the ecological deficit or surplus in the Beijing-Tianjin-Hebei (Jing-Jin-Ji) region based on empirical results. The results showed that the water ecological footprint of the Jing-Jin-Ji region is generally in a state of deficit, with Beijing being the most serious, followed by Tianjin and Hebei. Finally, this paper puts forward countermeasures and suggestions to promote carrying capacity of water resources in coastal areas. [ABSTRACT FROM AUTHOR]

Data-driven learning is a kind of new teaching mode under which language library is applied to language teaching. Featured by discovery learning, diversified learning process, media learning materials and instructional learning style, it can better stimulate students' learning initiatives, improve their self-learning ability and increase their learning efficiency. As the English writing level of college students is the most important indicator of students' subjective initiative in learning and their own English proficiency, this paper applies data-driven learning (DDL) in college students' English writing teaching in combination of the process writing approach. It selects 52 college students in a normal college in Hebei Province as the test subjects, and then through detailed experimental design and the pre-test, mid-test and post-test, discusses the effectiveness of data-driven learning in college English writing teaching. At last, through a questionnaire survey, this paper shows the students' attitudes towards the new data-driven learning method. This paper provides certain theoretical guidance to the improvement of the English writing level of college students. [ABSTRACT FROM AUTHOR]

With the rapid urbanization and industrialization, urban and rural transformation development is inevitable, although rural transformation may suffer from a continuously widening gap. Thus, this paper describes a model to measure the rural transformation development path used to analyze the process more clearly, through measuring rural transformation, detecting influencing factors, and calculating the acting forces of factors. (1) The degree of rural transformation development in Fuping County, which has always been lower than in adjacent counties, gradually improved from 1990 to 2015. This study presents the temporal and spatial influencing factors, including the per capita industrial output value of enterprises above a designated size (x 5 ), the population density (x 8 ), and the per capita water resource (x 12 ) of six counties near to Fuping County. (2) The pull forces in these six counties were larger than the push forces, including society, economy, and resources, which indicates that rural development in Fuping County was mainly dominated by external factors. (3) This paper suggests to increase small scales and to extend large scales to improve the path measurement model by analyzing the test results for Fuping County; furthermore, proposals are presented for realizing rural sustainable development of Fuping County in terms of policy, industry, and resources. [ABSTRACT FROM AUTHOR]

This study investigates the carbon compensation mechanism as a tool to promote coordinated economic and environmental development in China's Jing-Jin-Ji region (Beijing, Tianjin, and Hebei). A novel approach for calculating carbon compensation cost that integrate emission responsibility as well as carbon abatement cost through a bi-level programming model is proposed. Shared producer and consumer responsibility is established for carbon emissions under the multi-regional input-output model. Marginal abatement costs of Beijing, Tianjin, and Hebei are further calculated through the input-output and linear programming method. Results highlight that the emission responsibility allocation method significantly affects the inter-regional carbon compensation amount. The production-based approach leads to a 77% reduction of carbon compensation amount from Beijing to Hebei, and a 170% overestimation from Tianjin to Hebei compared with the shared responsibility approach in 2060. The optimal carbon compensation unit cost ranges from 1539 to 6438 yuan/ton when the carbon reduction ratio ranges from 10% to 20%. Beijing would compensate Hebei 3.56 and 29.74 billion yuan for achieving 10% and 20% emission reduction, respectively. Similarly, Tianjin's compensation for Hebei would be 0.23 and 1.87 billion yuan in the two scenarios. Results further show that implementing the proposed carbon compensation mechanism can reduce total abatement cost by 43% and 84% in Jing-Jin-Ji under the two scenarios. The methods and results of this paper could help inform future carbon compensation implementation in China and other countries. • Develop a bi-level programming model to determine optimal carbon compensation cost. • Consider emission responsibility and carbon abatement cost in Jing-Jin-Ji. • Resulting mechanism reduces abatement cost by 43% for 10% emission reduction. • Production-based allocation underestimates carbon compensation amount by 62%. • Optimal carbon compensation unit cost changes with marginal abatement cost. [ABSTRACT FROM AUTHOR]

• A combined simulation method of water photovoltaic (WPV) heat exchange process and water quality for flowing water is proposed. • The electrical characteristics of WPV on MRSNWD and its influence on water temperature and water quality are analyzed. • The coupling influences of flow discharge and short-wave radiation flux reduction factor of WPV on water quality are analyzed. • Water quality stability can be ensured by setting reasonable transmittance of WPV. Water photovoltaic (WPV) power stations have developed rapidly in recent years around the world. However, the thermal performance, power generation characteristics and the influence on water temperature and water quality of WPV power station need to be further studied. At present, there is no systematic and complete numerical method that can simulate the impact of solar panel on water environment. In this paper, a joint calculation method of WPV heat exchange model and 1-D hydrodynamic and water quality model is proposed. Taking Hebei section of the middle route of the South-to-North Water Diversion project as an example, the solar panel temperature, electrical efficiency, water temperature and water quality changes are analyzed. The results show that, compared with the static water condition, the solar panel temperature and air temperature below the panel decrease under flowing water condition. And the photoelectric efficiency is improved. After covering the WPV, the air temperature below the panel is significantly affected by the solar panel temperature. When moving from south to north along the middle route of the South-to-North Water Diversion project, the photoelectric conversion efficiency of WPV gradually increases, but module output power per square meter drops by 1.75 W/m2. The short-wave radiation flux reduction factor of WPV should be less than 20 % for ensuring the stability of water quality and the large discharge will weaken the short-wave radiation flux reduction influences on water quality. [ABSTRACT FROM AUTHOR]

Currently, ozone pollution is one of the key environmental concerns, and to provide more effective strategies for ozone control, this paper proposes the use of the Geostationary Environmental Monitoring Spectrometer (GEMS) in conjunction with MAX-DOAS for observations and ozone sensitivity analysis. Compared to traditional polar-orbiting satellites, GEMS, launched by South Korea in 2019, offers superior spatiotemporal resolution. However, there is a lack of ground validation for GEMS data related to ozone and its precursors. In this study, we conducted validation in the Jing-Jin-Ji (Beijing-Tianjin-Hebei) region using two typical MAX-DOAS sites and the China National Environmental Monitoring Center (CNEMC) sites, confirming the accuracy of GEMS data. Analysis of the seasonal horizontal distribution results from GEMS and vertical distribution results from MAX-DOAS in 2022 reveals that the concentrations of NO 2 , HCHO, O 3 , and ozone sensitivity not only display seasonality and regional variations but also exhibit distinct characteristics at different altitudes and times, influenced by local climatic conditions, human activities, and topography. When formulating ozone control policies, it becomes imperative to consider factors such as time, regional characteristics, and seasonality. Comparisons between daily results from TROPOMI and GEMS indicate that polar-orbiting satellites may overlook high-pollution periods within a single day, and their measurements may not provide a comprehensive representation of an entire day's data. Consequently, relying solely on polar-orbiting satellite data for shaping ozone prevention and control policies may inadvertently encourage ozone formation during specific time periods, rendering these policies ineffective. Therefore, leveraging GEMS is essential for the development of comprehensive, around-the-clock ozone control policies. Finally, we used monitoring data from Beijing on October 6, 2022, to illustrate how the combination of GEMS and MAX-DOAS enables three-dimensional monitoring of pollutant transport processes on an hourly scale. [Display omitted] • Validation of the accuracy of ozone and its precursor data from GEMS. • Analysis of hourly ozone sensitivity level distribution using GEMS. • Limitations of polar orbit satellites in O 3 sensitivity analysis compared to GEMS. • Observation of the transport of pollutants combining GEMS and MAX-DOAS. [ABSTRACT FROM AUTHOR]

Located in Baoding, northern China's Hebei Province, the Daqing River Basin faces a nonnegligible problem: the prevention and control of ice damage in the South-to-North Water Diversion Project (SNWDP) during the ice period. This paper sorts out the observation data on the ice conditions in river sections of the Daqing River Basin in winter, 1994–1997, and calculates the roughness of the water transmission sections, through mathematical calculation and inverse computation. On this basis, the authors analyzed the influence of ice caps on the flow capacity of river channel, and discussed the effects of water level variation on ice cap stability. The results show that, during the ice period, the ice caps in the upstream of the water transmission channel in the river basin are rougher than those in the downstream. In the same river section, the ice caps are rougher in the initial phase than the late phase. At the same water level, the flow capacity of different sections reduces by 40–61% under ice caps. For the entire river channel, the ice caps lower the flow capacity by 40–52%. The water level variation has a huge influence of ice cap stability. During the ice period, the flow should be maintained stable to transmit water under ice caps. This helps to stabilize water level, ensure the continuity and completeness of ice caps, and improve the water transmission efficiency in the ice period. [ABSTRACT FROM AUTHOR]

Purpose: Heavy metal pollution is an increasingly serious problem. The accumulation of heavy metals in soil is a threat to ecological balance and human health, and therefore, it is very important to monitor heavy metal concentrations efficiently and accurately over large areas. Hyperspectral remote sensing (HRS) images are beneficial for such large-scale monitoring, but the process of image acquisition is inevitably affected by soil environmental factors. In this study, we proposed a method to construct a mechanistic model by considering the influence of soil environmental factors. Materials and methods: Fifty-one soil samples were collected in Xiong and Anxin counties of Xiong'an New Area in Hebei Province. First, a direct standardization (DS) algorithm was applied to eliminate the influence of soil environmental factors on Gaofen-5 (GF-5) satellite image spectra. Then, the DS-corrected image spectra were jointly modeled with the corresponding laboratory spectra to increase the sample size. Due to the strong sorption and retention of lead (Pb) on iron oxide particles in soil, the characteristic bands associated with iron oxide were extracted for model calibration. Then, the trained model was applied to GF-5 image spectra to obtain the Pb distribution in the arable area. Results: The model validation accuracy (R2) without DS correction was 0.30, while the R2 value without extracting the characteristic iron oxide band was 0.58. The R2 value of the method in this paper could reach 0.77. The Pb distribution map made according to this study was consistent with the actual distribution pattern and the results of previous studies, which confirms that the method used in this study is reliable. Conclusion: The DS algorithm eliminated the influence of soil environmental factors and greatly improved the estimation ability of the model. And the use of the iron oxide characteristic band improved the accuracy of the estimation of Pb concentration. [ABSTRACT FROM AUTHOR]

Beijing-Tianjin-Hebei region is an area where the conflict on resource environment and development most acute. Based on the panel data of listed companies in 2010-2019, this paper constructs a panel model on strategic identification degree, which reveals the development strategy of enterprises and the degree of strategic transformation. The results show that environmental and credit policies in this region have been focused on protecting and supporting business-oriented enterprises. The listed company converts monetary funds and some business assets into financial assets through the items available on the balance sheet, which hinders the development strategy of promoting independent innovation in Beijing, Tianjin and Hebei. We hope that the government should pay more attention to the problem of illegal use of funds in enterprises, and take the necessary regulatory measures to correct the tendency of misallocation of assets. At the same time, the environmental protection department and commercial banks will coordinate and work together to promote the independent innovation and business development of enterprises. [ABSTRACT FROM AUTHOR]

Copyright of Coal Science & Technology (0253-2336) is the property of Coal 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.)

Agricultural non-point source pollution (ANP) had become an important source of water pollution, which seriously restricted the coordinated development of Beijing, Tianjin and Hebei. As the primary agricultural production base in the region of Beijing-Tianjin-Hebei, Hebei had serious ANP. In order to clarify the current status of ANP in Hebei and figure out the main pollution source and areas, ANP load of Hebei from 2000 to 2021 were evaluated by the export coefficient modeling (ECM) and spatial-temporal characteristics were carried out using geographic information system (GIS). In addition, ANP severity and emission characteristics of Hebei in 2021 were evaluated. The results showed that the environmental impact of ANP in southwest area was obviously more serious than that in northeast area of Hebei. Especially, ANP emissions in Hebei showed significant decreasing inflection points in 2007 and 2017, respectively, reaching a minimum by 2021. The TN and TP emissions of ANP in Hebei were 315,026.1 t and 50,323.76 t in 2021, respectively. The contribution of agricultural land, livestock and poultry breeding and rural life to TN and TP emissions were 37%, 34%, 29% and 20%, 61% and 18%, respectively. The ANP pollution mainly came from livestock and poultry breeding in Hebei Province. Based on cluster analysis, cities in Hebei were divided into four types, and the control strategies for ANP environment management were put forward. [ABSTRACT FROM AUTHOR]

Conflict over land use is an issue that all countries are experiencing in the accelerated process of urbanization and industrialization. Research on the identification and characterization of land-use conflicts is an important basis for promoting the sustainable development of regional land use. Taking Hebei Province under the background of Beijing–Tianjin–Hebei integration as the research object, this article combines the SCCI model and the LUF model to study the land-use flush in the process of rapid urbanization from the dimensions of land-use landscape conflict and land-use function conflict. The results of this study point out that land-use conflicts in the region have gone through a developmental course of intensification of heavy conflicts, slowing down, and then smoothing out. The exacerbation of land-use conflicts is synchronized with the time pattern of construction and development in the accelerated industrialization and urbanization of Hebei, while the activities of arable land occupation and compensation balance and land ecological management produce lagging land-use conflicts. The spatial pattern is characterized by dispersed and random conflicts in the plains, concentrated conflicts in the mountain stream zones, and stable conflicts in the ecological zones within the mountains in the mountainous areas. The role of externalities and internalities from within the region and in the coordinated development of the region has led to the coexistence of developmental and governance land-use conflicts in Hebei Province, and the geographic environment has a constraining effect on the spatial differentiation of these conflicts. Along with the strong implementation of China's eco-governance and use-control systems, developmental land-use conflicts from the region will be effectively curbed, but the risk of overlapping developmental conflicts and lagging governance conflicts from coordinated regional development is a key focus for conflict prevention in the future. [ABSTRACT FROM AUTHOR]

Data-driven prospectivity modeling based on deep learning, particularly supervised learning, has demonstrated outstanding performance for mineral exploration targeting in the past years, thanks to its powerful feature learning ability. However, this approach necessitates a substantial amount of large, high-quality labeled training data, and the scarcity of known mineral deposits poses significant challenges in constructing a high-performance mineral prospectivity prediction model. Self-supervised contrastive learning can alleviate this problem by exploiting large amounts of readily available unlabeled data. In this study, we utilized geochemical element data from the Malanyu district to train a self-supervised contrastive learning model. This model was then employed to predict gold mineral prospectivity, and its accuracy was compared with supervised learning method. The results show that the self-supervised contrastive learning model has higher performance in prospectivity prediction than the supervised learning model and its recognition accuracy reaches 100.00%, which is 7.41% higher than that of the supervised learning model ResNet50 and 14.81% higher than that of the supervised learning model MobileNetV2. At the same time, the prediction results of gold prospecting have a strong consistency with the known gold deposits in this district. This study demonstrates the feasibility of applying the self-supervised comparative learning model to the prediction of gold prospects, and it is of great significance to realize intelligent prediction of mineral resources. Article Highlights: A self-supervised contrastive learning model is proposed for predicting gold prospectivity. The model can learn valuable feature representations from a large amount of readily available unlabeled geochemical data. Compared to the supervised learning method, the proposed model not only reduces reliance on the number of known deposits but also achieves higher accuracy. [ABSTRACT FROM AUTHOR]

Background: Given the increasing stress levels among medical students due to the impact of COVID-19, it is crucial to effectively reduce their stress levels for their future development. To better understand medical students' stress coping, this study investigated how their emotional intelligence is related to stress coping and whether this relationship is moderated by gender differences. Methods: A cross-sectional study was conducted. A random sample of 744 medical students from Hebei Province, China, was investigated via an emotional intelligence scale and stress coping questionnaire from March–May 2023. The response rate was 93%. SPSS and Mplus statistical software were used for the data analysis. Results: The self-emotional appraisal of medical students had a significant negative effect on avoidant coping (β = -0.173, CI 95% = [-0.243, -0.099], p <.001). However, the other dimensions of emotional intelligence (others' emotional appraisal, use of emotion, and regulation of emotion) had a significant positive impact on the active coping of female medical students (β = 0.146, CI 95% = [0.082,0.214], p <.001; β = 0.235, CI 95% = [0.167,0.304], p <.001; β = 0.165, CI 95% = [0.084,0.247], p <.001). In contrast to those of female medical students, other dimensions of emotional intelligence had a significant positive impact on the avoidant coping of male medical students (β = -0.161, CI 95% = [-0.284, -0.062]; p < 0.01; β = 0.126, CI 95% = [0.043,0.246], p < 0.001; β = 0.159, CI 95% = [0.054,0.277], p < 0.05; β = -0.221, CI 95% = [-0.363, -0.129], p < 0.001). Moreover, the use of emotion had a significant positive impact on the active coping of male medical students (β = 0.272, CI 95% = [0.182,0.382], p <.001). Furthermore, gender differences had a moderating effect on the relationship between emotional intelligence dimensions and stress coping (β = 0.178; CI 95% = [0.068,0.292]; p < 0.05). Others' emotional appraisal has a greater impact on female students' active coping. In addition, with increasing regulation of emotion ability, female medical students reduce avoidant coping (β = 0.169, CI 95% = [0.002,0.326]; p < 0.05). Conclusions: The current study revealed that gender is a significant moderator of the relationship between medical students' emotional intelligence and stress coping. These findings may help medical colleges focus on gender differences when improving medical students' ability to cope with stress. [ABSTRACT FROM AUTHOR]

The rational use of cultivated land can guarantee food security and thus is highly important for ensuring social stability, economic development and national security. The current study investigated the multifunctional temporal and spatial variation characteristics of cultivated land and explored the spatial and temporal characteristics of the multifunction and coupling coordination degrees of cultivated land throughout Hebei Province. Based on the administrative division data, statistical yearbook data and land use status data of the impacted areas, a multifunctional evaluation index system of cultivated land was established. The CRITIC weight method and entropy weight method were used to determine the weight of the index, the comprehensive index model was used to determine the production, social security, ecology and landscape functions of cultivated land of Hebei Province in different periods, the coupling coordination model was used to explore the multifunctional coupling coordination degree of cultivated land in each county, and spatial autocorrelation analysis was performed to determine the correlation of the multifunctional coupling coordination degrees. From 2000 to 2020, the production, social security and landscape function of cultivated land in Hebei Province trended upward; the ecological function trended slightly downward. The multifunctional coupling coordination degree of cultivated land in Hebei Province trended significantly upward and changed from limited coordination to intermediate coordination. Furthermore, it exhibited strong agglomeration and a significant positive spatial correlation, forming a 'V'-type change rule of first decreasing and then increasing. Hebei Province exhibited remarkable spatial and temporal characteristics of the multifunction and coupling coordination degrees of cultivated land. Regions could thus customize different cultivated land functions to maximize the benefits of cultivated land use. The findings of this study may provide a scientific basis and theoretical support for sustainably using and managing cultivated land resources in areas with similar human geographical environments. [ABSTRACT FROM AUTHOR]

Accurate temperature forecasts are critical for various industries and sectors. We propose a probabilistic neural network (PNN), an extension of the distributional regression network (DRN), for 2-m temperature forecasts, consisting of three variants with different inputs and target variables. The first variant, standardized anomaly probabilistic neural network (SAPNN), employs a two-step approach involving standardized anomalies and global PNN modeling to effectively capture underlying features and anomalies. The second variant, PNN with geographical predictors (PNNGE), incorporates raw and static geographical predictors to enhance predictive performance. The third variant, PNN with station one-hot encoding (PNNEN), utilizes raw with station one-hot encoding predictors to represent geographical information effectively. We compare three PNN variants with two benchmarks: 1) standardized anomaly model output statistics (SAMOS) and 2) three DRN variants identical to those applied to PNN. These evaluations utilize ECMWF data from 2019 to 2020 at 6-h intervals up to 72 h over Hebei, China. Results show that SAPNN and PNNGE are better than SAMOS, while PNNEN notably exhibits a significant 14% improvement in the continuous ranked probability skill score (CRPSS). Moreover, the PNN variants exhibit comparable or superior performance to DRN regarding forecast accuracy, CRPSS, and reliability, showcasing a better-calibrated spread–error relationship. This study highlights the value of the proposed PNN variants with a distribution output in capturing nonlinear relationships within different sources of predictors and improving temperature forecast skills. Significance Statement: This study aims to improve the accuracy, skills, and reliability of 2-m temperature forecasts, which are crucial in agriculture and energy management. To achieve this, we extend a popular artificial intelligence framework and explore four data sources with two schemes to systematically compare the predictive performances in making temperature forecasts. The findings of this research are vital as they offer novel ways to improve forecast skills. Imagine having a weather app that is significantly more accurate, enabling you to plan your day better. This study is about discovering innovative approaches to enhance forecast skills and reliability, which could benefit various aspects of our daily lives. One of the new methods even exhibits a 14% improvement in forecast skills. [ABSTRACT FROM AUTHOR]

Driven by economic expansion, urbanization, and population growth, the world is witnessing an escalating demand for water, energy, land, and food, posing substantial threats to the sustainable development of societies and economies. Given the intricate interdependencies inherent within the water–energy–land–food (WELF) system, it is imperative to conduct comprehensive assessments of the coupling coordination and sustainable development of the WELF system over long time scales and diverse characteristic dimensions. This study selects Hebei province, China, as the research region, constructing a comprehensive indicator system spanning from 1980 to 2020 using three dimensions: reliability (Rel), robustness (Rob), and equilibrium (Equ). The degree of coupling coordination (DCC) and sustainable development index (SDI) were developed using the comprehensive evaluation index and coupling coordination degree model. Additionally, the obstacle degree model and gray relational degree model were employed to assess the indicators that hinder or promote the SDI. The results indicate that: (1) The DCC (range of 0–1, bigger the better) of the WELF system increased from 0.65 to 0.75 between 1980 and 1998, then fluctuated between 0.75 and 0.69, stabilizing at a moderate level of coordinated development after 2015. (2) For the WELF system in Hebei, as Rel increased, Rob decreased, and Equ increased; similarly, as Rob increased, Equ also increased. (3) The SDI (range of 0–1, bigger the better) rose from 0.45 in 1980, initially increased, then decreased, and eventually stabilized. After 2014, it experienced rapid growth, reaching 0.54 by 2020, indicating an improvement in sustainable development capability. (4) Indicators related to the Equ dimension and the land subsystem were more critical limiting factors for SDI development, while indicators related to the Rel dimension and the food subsystem were more significant contributors to SDI development. These findings offer a scientific foundation and practical insights for Hebei and comparable regions, aiding in the resolution of resource conflicts, optimization of resource allocation, and enhancement of regional sustainable development. [ABSTRACT FROM AUTHOR]