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The Yellow River Basin is a complex spatial system integrating ecology, economy, culture and society. The research in this paper takes the innovation of cultural heritage in the basin as the fundamental orientation, and analyzes the influence mechanism of digitization on the innovative development of Yellow River culture through GIS. The inter-regional heterogeneity of the digital transformation of the Yellow River culture is examined through the use of the kernel density function. To examine the spatial correlation between the Yellow River basin and the development of cultural digitalization innovations, the gravity model is utilized. The Yellow River cultural industry’s innovation adaption capacity is measured through two indicators: innovation input capacity and innovation absorption capacity. Based on the analysis of the spatial distribution pattern and the trend of spatio-temporal change, it is tentative to observe that there is a possible spatial correlation between the two. The results show that the field energy variation of the Yellow River cultural memory space ranges from 0.0928 to 0.5384, and the distribution has significant spatial dependence. The logarithm of the digitization level of the Yellow River culture in 2019 is mainly concentrated around -2.2, and the overall digital development of cities along the Yellow River has not been polarized. A new framework and reference for protecting cultural heritage and promoting civilization innovation in the Yellow River basin is provided by this paper.

San Nicola Island, pertaining to the Tremiti Archipelago (Southern Adriatic Sea, Italy), is widely affected by cliff retreat and gravitational phenomena which severely threaten its monumental historical and natural value. In this study, geomorphological features of the area were derived following a stepwise approach, combining multitemporal stereoscopic aerial photo interpretations with morphometric analyses and detailed field surveys. A rockfall susceptibility map was created following a heuristic approach based on morphometric and geothematic parameters, accounting for slope, slope aspect, outcropping lithologies, structural discontinuities density, distance from landslide scarps, and presence of anthropic caves. Cliff sectors set on dolomitic limestones feature the highest susceptibility values, especially along the southeastern sector; medium values, instead, are found along the island flanks and along scarps located within the inner sectors; and the lowest values are detected on summit tabular surfaces. The achieved results were compared with historical maps and seismic data derived from local and national archives and catalogues, respectively. These analyses allowed us to define the role played by litho-structural and tectonic features on landslide occurrence and distribution, and their interplay in driving landscape evolution over centuries. Finally, this work represents a valuable scientific tool to support geomorphological studies for landslide hazard assessment and proper territorial planning in any other small insular areas, showing similar geological–geomorphological features and landscape values. [ABSTRACT FROM AUTHOR]

In this study, a geographical analysis of wind meteorology indicators and land topography was conducted to determine the most suitable wind farm locations in Azerbaijan. Long-term wind meteorological gauge data, satellite data, and advanced meteorological modelling were used to characterize wind energy potential nationwide. This data includes measurements of wind speed, direction, and turbulence collected over an extended period. Then, Geographic Information Systems (GIS) tools were used to evaluate the wind farms in terms of topography, ecology, and economy and to place edges around the restriction areas. The analysis results identified several areas with high wind energy potential, including the Caspian Sea coast, Absheron-Khizi, and the East Zangezur economic rayon. This analysis reveals the profound impact of terrain on wind flow dynamics and highlights the importance of considering local topography in site selection. Areas with consistent and strong winds, often associated with mountain passes and coastal areas, are identified as prime areas for wind energy development. The study also evaluates the proximity of these promising locations to the existing power grid. It is aimed at ensuring efficient energy transmission by evaluating the cost-effectiveness of connecting potential wind power plant sites to the grid. This grid integration assessment guides decisions regarding selected locations' feasibility and economic viability. [ABSTRACT FROM AUTHOR]

Copyright of Conservar Património is the property of Associacao Profissional de Conservadores-Restauradores de Portugal 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.)

Urbanisation poses significant challenges to a water resource management, especially in areas where water demand is increasing. This study focuses on the impact of the urban environment on surface and groundwater recharge in Sofia, Bulgaria, using a geographic information system (GIS) approach. The study integrates geospatial data and land use analysis to assess surface and groundwater recharge in an urban environment. The results reveal the complex interplay between urban development and water recharge, providing insight into areas experiencing stress and potential opportunities for sustainable water management. The GIS-based analysis improves understanding of the city's hydrological and hydrogeological system and provides information about informed decision-making on water resource sustainability in the face of increasing urbanization. [ABSTRACT FROM AUTHOR]

Spatial planning and arrangement work of rural areas is constantly being renovated to improve the living conditions, land distribution and to facilitate work in this area by reducing the costs of transport. The most effective solution is consolidation and exchange of land, which is a difficult and time-consuming process. However, it significantly facilitates everyday functioning of the inhabitants of the village. It assumes reduction of plots of land belonging to the farm by increasing the area of other plots, regulating the shape, ensuring access to the public road and shortening the distances of individual farmland to their habitats (built on site). The purpose of this work was the analysis of land consolidation and exchange process for the village of Lukowa with the use of Geographical Information System (GIS) tools. Primary aim set at the beginning of the project is to compare the state before the land consolidation and the design of the parcel posting after consolidation. QGIS free software has been used to solve this problem. Two basic activities were carried out to compare the distance between built-up land and the remaining farmland. For this purpose, two analyses were performed: network analyses assuming the calculation of distance along the shape of roads and linear analyses determining the shortest distances between plots on a straight line. The work considers the real land distribution, the calculation of which is a time-consuming task. Many factors must be considered to accurately determine the correct distances. It is shown what difficulties and problems occur during the collection of data for analysis, with the correct indication of habitats and indicating the road network or aggregation of adjacent plots of one owner. [ABSTRACT FROM AUTHOR]

The article aims to look for a way to geographically delineate the notion of target culture in the language textbook “The World We Live in” by Ogasawara et al. (2013) published in Japan for Japanese students and teachers. Looking at the textbooks as cultural artefacts, we identified geographical space within the scope of the sample textbook and analysed the pedagogical context the place names appeared in. By doing that we attempt to find the spatial bias of the book, which is a manifestation of values there inscribed, often called the “hidden curriculum”. The elaborated method, following a seminal study by Risager (2018), is an attempt to adapt the proposed content analysis of the textbooks into GIS tools in order to capture the geographic dimension of the content. The method serves as a stepping stone towards the creation of a model to analyse and identify the attitudes toward the cultural content of educational materials. This will not only enable a more authentic classroom experience responding to the needs of particular groups of students and teachers but also look for ways to make the textbooks more inclusive.

LiDAR-derived digital elevation models (DEMs) have transformed the archaeological study of landscape features, broadened our technical capabilities, and enhanced the accuracy with which terrain relief is described. These models also place demands on how researchers and analysts interpret DEM content in the context of the modern landscape. LiDAR-based DEMs contain modern man-made structures that can significantly influence model properties. Although data are usually filtered and some of these artificial features are removed during bare-earth classification, many terrain interventions remain visible. This large-scale case study applies established methods to a freely available DEM of the Czech Republic in an attempt to evaluate differences between original and filtered DEMs. It applies a fully automated filtering procedure using vector topographic maps to avoid manual corrections that would make the procedure problematic when used on a macro scale. The results of our archaeological GIS analysis demonstrate that this procedure, despite its relative simplicity, can achieve a significantly better representation of a landscape compared to that offered by an unfiltered DEM. Finally, we propose a series of future steps with a view to developing a more comprehensive and accurate model and overcoming its limitations.

The article presents the experience of using GIS technologies to prepare spatial predictors for their further use in modeling and mapping the dynamics of forest ecosystem functions. The study was conducted on the territory of the Dankovsky district forestry, which is located in the south of the Moscow region. GIS analysis of spatial data containing information about the relief and the hydrographic network of the study area was performed. As a result, morphometric values describing the surface runoff and altitude zonality of the study area have been created. The article describes GIS tools that can be used to create thematic geospatial products: slope exposure, steepness and curvature; direction, distance and length of the flow line, total flow; average altitude above sea level and distance to the river. In addition, the boundaries of river catchment basins have been identified by using GIS analysis, within which it is also planned to model climate-regulating forest functions associated with the carbon cycle.

The complex environmental process of soil erosion is crucial to sustainable land management and conservation. This study uses the Universal Soil Loss Equation (USLE) model to understand the intricate interactions that cause soil erosion in Cluj County, Romania, a region susceptible to complex erosion and landslide phenomenon. The established analysis depicts erosion patterns from localised hotspots to regions of relative stability, providing valuable insights into this critical issue. Spatial distribution maps with color-coded gradients show soil erosion risk and identify vulnerable regions, with temporal investigations depicting how environmental changes affect soil erosion, making it relevant to soil conservation and land management. A careful analysis of the USLE model's parameters (Ls, Cs, C, S, K) shows their soil erosion contributions. The erosion rates were graded in five classes in accordance to general practices of USLE modelling, which range from very-low, low, moderate, high and very-high susceptibility to soil erosion. While a significant majority of the county's surface is represented by very-low and low erosion risk, several hotspots were identified with intense erosion processes that highlights the critical need to implement soil conservation measures in the area. Identifying erosion hotspots and conservation solutions encourages stakeholders to protect soils, and can provide policymakers with useful information for developing improved guidelines for soil and water conservation. [ABSTRACT FROM AUTHOR]

In Southern Italy, studies dealing with the analysis of multidecadal land-use/land-cover (LULC) changes at the basin scale are scarce. This is an important gap, considering the deep interrelationships between LULC, soil erosion, and river and coastal dynamics. This study provides a contribution in filling this gap by analyzing the LULC patterns and changes in an area of southern Italy, i.e., the Fortore River basin, which occurred between 1960 and 2018. To this end, we conducted a GIS-aided comparison and analysis of LULC data from 1960, 1990, and 2018, respectively. The LULC changes were analyzed at both the basin and the physiographic unit scale. The results showed that most of the LULC changes occurred between the 1960s and 1990s, while from the 1990s onward, great stability in LULC was evident in the basin. The obtained data were mostly coherent with national-, regional-, and basin-scale trends, although some scale-dependent discrepancies were noted. The river and shoreline dynamics fully reflected the duration and the amount of phases of the changes in LULC stability at the basin scale. [ABSTRACT FROM AUTHOR]

North‐central Poland was originally shaped by the Płock lobe of the ice sheet formed during the Weichselian Glaciation. The majority of the studied area comprises the Dobrzyń Lakeland, where numerous terminal moraine hills preserve a record of recession of the ice sheet from the maximum extent of the last glaciation (LGM). Analysis of a digital elevation model enabled the determination of a network of morpholineaments, referring to the formation of linear glacial forms. Recession of the ice sheet from the LGM extent in north‐central Poland was uneven and proceeded in stages. Ice‐sheet recession stages were interspersed with local or regional ice‐sheet advance stages. During these individual periods of ice‐sheet behaviour, ice‐sheet movement changed direction from WNW–ESE to NNW–SSE. Transgression of the ice sheet into the central part of the study area as well as the Kujawy–Dobrzyń subphase may be related to cooling of the climate during 18.5–17.7 ka before ad 2000. [ABSTRACT FROM AUTHOR]

This article is based on the freely available data of the web-based hydropower map HYPOSO, which the authors compiled. Only the Ugandan river network and associated hydropower potential are highlighted here, using freely available geospatial datasets. The main objective was to assess Ugandan river and stream hydropower potential, compare it with previous assessments, and identify potential sites for small hydropower plant installation. GIS techniques were extensively used to analyse hydrological and other related geospatial data. The stream-reach power potential was determined based on channel slope, the length between tributaries, and the average flow derived from a specific runoff distribution map. Stream profiles extracted from the river network's digital elevation model were validated against previous assessments. Uganda's hydropower potential was determined in various patterns, and its values were compared with prior estimates. Around 500 potential high-energy intensity stream reaches and new potential areas for small hydropower plant development were identified in this country, considering a range of characteristics. Statistical datasets were analysed, and their straightforward summaries were presented. These summary characteristics of hydropower potential are necessary for decision-makers to foster hydropower development in this country. [ABSTRACT FROM AUTHOR]

The development of marketing strategies based on temporal and spatial student’s distribution is extremely important in order to win a niche in the market of educational services. The object of the study is information about the place of origin of the Henan Institute of Science and Technology students in 2016 and 2020. The data used are provided by the Office of Academic Affairs of Henan Institute of Science and Technology, which selects identity data of students admitted and registered at the university in 2016 and 2020. The temporal and spatial distribution and spatial aggregation characteristics of the student enrolments are analyzed, as well as factors affecting the quality of the student flows, such as geographic location, total number of students per year, and publicity. The paper uses spatial data analysis (ESDA), which determines the spatial weight between districts. Global Moran’s I index was used for spatial analysis. The analysis carried out on the example of Henan province showed that the number of graduates in each city in a given year directly affects the number of university entrants (in 2020, the largest number of school graduates was recorded in the cities of Zhoukou and Nanyang, which had the highest number of university entrants). The spatial arrangement of colleges and universities is identified as the main factor influencing the recruitment of students of each educational institution. The choice of colleges and universities by applicants and their parents in China is also determined by proximity to large cities, convenient transportation, and employment opportunities. It has been established that advertising educational services of universities is also an additional factor in their popularization and attraction of students. The important achievements and characteristics of the school should be highly summarized to ensure that all the information on the school brand is spread in the whole domain in a comprehensive manner. Different media should be selected for different students from different places. Attention should be paid to the use of new media such as WeChat, Micro-blog, Tiktok etc. Also, a significant role should be given to interpersonal communication and mobilization of the enthusiasm of graduates to increase the popularity of a particular educational institution. Colleges and universities should reflect on themselves, correct in time, and actively establish a complete, effective, and dynamic evaluation mechanism for marketing, to improve marketing strategies, including through surveys of graduates, students, parents and other stakeholders of higher education.

This study was conducted to investigate the stream network formed in Hanyang and the topographic features of the surrounding areas for the purpose of identifying the impact of Hanyang’s stream network on its city formation. To this end, three substudies were conducted: (i) Topographic restoration of late Joseon using a digitized map including the stream network of the Joseon period and a cadastral map; (ii) Identification and explanations of the discrepancies between the digitally restored stream network and the real stream network by superposing the former upon the latter; (iii) Identification of the Hanyang’s stream network on its urban structure. The results of this study can be summarized as follows: First, the waterways derived by GIS analysis and those on the 1912 Cadastral Map were verified to general coincide with each other, but some changed waterways were observed. Second, the watershed and administrative boundaries general coincided.

Road accidents are among the most critical causes of fatality, personal injuries, and financial damage worldwide. Identifying accident hotspots and the causes of accidents and improving the condition of these hotspots is an economical way to improve road traffic safety. In this study, to identify the accident hotspots of “Dehbala” road located in Yazd province-Iran, statistical and non-statistical clustering methods were used. First, the weighting of the criteria was performed by an expert using the AHP method. Hence, the spatial correlation of slope and curvature was calculated by Global Moran’I. Anselin Local Moran index and Getis-Ord Gi* and Kernel Density Estimation were used to identify accident hotspots based on accident location due to the density of points. As a result, four accident hotspots were obtained by the Anselin Local Moran index, three accident hotspots by Getis-Ord Gi*and one accident-prone area were obtained by Kernel Density Estimation method. Three algorithms, k-means, k-medoids, and DBSCAN, were used to identify accident-prone areas or points using non-statistical methods. The dense cluster of each method was considered as an accident-prone cluster. Then the results of statistical and non- statistical methods were intersected with each other and the final accident-prone area was obtained. This study revealed the effect of geometric charcateristics of the road (slope and curvature) on the occurance of accidents.

This research deals with the problem of the accessibility of urban forests and parks for people with disabilities in wheelchairs. Through an analysis of spatial data, trails were categorized on the basis of the measurements of the independent movements of eight subjects on six trails. The critical longitudinal slopes were determined for independent movement in wheelchairs, complex independent movement with certain risk, and categories of trails that are not suitable for wheelchair movement. The results indicate that a slope of 5.50% was the tipping point, after which all respondents experienced some uncertainty. In addition, a gradient of more than 9.01% was almost impassable for people in wheelchairs, with respect to the gravel trails examined in this study. Modern measurement technology was used in the field, including the mobile apps GAIA GPS and GNSS GPS, and a total (geodetic) station; the subjects' heart rates were measured using a Garmin Fenix 6 Pro watch. In addition, people with disabilities were included in the implementation of the research through the Croatian Association of Paraplegics and Tetraplegics (HUPT). The results indicate the zones/trails that disabled people in wheelchairs can pass independently, the zones that can be accessed with a certain risk, and those that are not accessible, all according to the defined longitudinal slope zones using measurements of the movement of people in a wheelchair, their heart rate loads, and personal communication with the subjects regarding the insecurity they felt. [ABSTRACT FROM AUTHOR]

During the end of the Bronze Age, the territory of present-day eastern Romania was occupied by Noua communities, belonging to the Noua-Sabatinovka-Coslogeni (NSC) cultural complex. Although these communities have left us a large number of archaeological sites, this period is rather poorly known and understood, mostly because the investigation of Late Bronze Age (LBA) sites is very rare, usually consisting of small test trenches or fieldwalks. The main characteristic of these communities and the subject of our study is represented by the so-called ashmounds (grey, quasi-circular spots, visible on the soil surface, with small elevations and diameters of 25–30 m), present inside most settlements. Our paper aims at highlighting the spatial characteristics of these sites, using GIS (Geographic Information System) tools, as well as aerial photographs, LiDAR (Light Detection and Ranging) measurements, magnetometry and geo-electrical methods, in order to identify the relationship existing between Noua communities and the inhabited environment, in the area known as the Jijia River catchment. Thus, our approach was able to outline the way in which the geographical peculiarities determined the establishment of new settlements, revealing that the human groups from the end of the Bronze Age preferred low terrains with smooth slopes, located in the immediate vicinity of the most important watercourse of the inhabited micro-area. Additionally, our geophysical studies allowed us to confirm the lack of ash located within the ashmound, as well as to signal the possibility that these features have become visible on the soil surface only due to the irreversible damage caused by intensive agricultural processes. Despite the small number of excavations, to this day an important number of studies have been dedicated to the communities and features in question; however, no analysis has yet been performed that unites the tools specific to GIS software with the usage of non-invasive methods (such as aerial photographs, LiDAR measurements and geophysical techniques). [ABSTRACT FROM AUTHOR]

In this paper, a cost-oriented optimization model of station spacing is presented to analyze the influencing factors of station spacing and layout near Shanghai Pudong International Airport. The Hierarchical Density-Based Spatial Clustering of Applications with Noise (HDBSCAN) algorithm is used to cluster and analyze the high population density, and optimize the station layout in the southwest of Pudong International Airport. A spatial analysis of the land use and geological conditions in Pudong New Area is given. Combining the optimal station spacing, ideal location and spatial analysis, five routing schemes to Pudong International Airport are proposed. The DBSCAN and K-means algorithms are used to analyze the "PDIA-SL" dataset. The results show that the space complexity of the HDBSCAN is O(825), and the silhouette coefficient is 0.6043, which has obvious advantages over the results of DBSCAN and K-means. This paper combines urban rail transit planning with the HDBSCAN algorithm to present some suggestions and specific route plans for local governments to scientifically plan rail transit lines. Meanwhile, the research method of station layout, which integrates station spacing, ideal location and spatial analysis optimization, is pioneering and can provide a reference for developing rail transit in metropolises. [ABSTRACT FROM AUTHOR]

In this study, three multi-temporal remotely sensed data acquired from Landsat-5 Thematic Mapper (TM) and Landsat -8 Operational Land Imager/Thermal Infrared Sensor (OLI/TIRS) in 1990, 2005, and 2020 were used. The maximum likelihood classifier (MLC) was opted to classify land use and land cover (LULC). Land surface temperature (LST) and LULC spectral indices i.e., Normalized Difference Vegetation Index (NDVI), Normalized Difference Built-up Index (NDBI), Normalized Difference Latent Heat Index (NDLI) and Bare Soil Index (BSI) have been computed and their relationships were examined. The overall accuracy of LULC was more than 93%. The analyses showed a notable transformation in LULC over the study period. For instance, built-up areas increased 103.7% with a rate of 45.5 ha/year and agriculture land increased by 28.9% with a rate of 186.4 ha/year. Whereas, bare soil was sharply decreased by 36.4% at a rate of 227.7ha/year. The minimum and maximum LST values increased by 2.9°C and 4.9°C, respectively, from 1990 to 2020. Furthermore, LST has a negative relationship with NDVI and NDLI (NDVI: 1990: r² = 0.62; 2005: r² = 0.62; 2020: r² = 0.65. NDLI: 1990: r² = 0.79; 2005: r² = 0.78; 2020: r² = 0.61) and a positive relationship with NDBI and BSI (NDBI: 1990: r² = 0.68; 2005: r² = 0.73; 2020: r² = 0.44. BSI: 1990: r² = 0.77; 2005: r² = 0.78; 2020: r² = 0.53). These results provided useful information about LULC changes and its impact on LST, which are necessary for experts and land-use planners to formulate sustainable LST mitigation policies, create an environmental comfort in Nag-Hammadi district, and other geographical locations with similar conditions. [ABSTRACT FROM AUTHOR]

The World Health Organization predicted that depression will become the second greatest disease burden after coronary heart disease by 2020. However, there are few quantitative studies on the spatial relationship between environmental factors and characteristics of patients with depression. In this paper, mathematical statistics, geographical information system and regression methods were used to conduct a quantitative analysis of the individual attributes of hospitalized patients with depression in a Class 3A hospital in Shanghai from 2013 to 2019 and to explore the relationship between individual attributes and circumjacent environmental factors. The results show that (1) the total number of patients with depression has increased in recent years, and the proportion of women was increased 2.5-fold compared with that of men. The risk was significantly increased in middle-aged and young adults aged 45–69 years compared with other age groups. The average hospitalization time was 20–30 days. The lower the level of education, the greater the risk of depression. (2) Within a certain spatial range, the closer to city parks and coffee shops, the lower the distribution density of depressed patients. (3) Medical insurance for patients with depression needs to implement a "people-oriented" differentiation policy. (4) Expanding urban public space, improving urban leisure and entertainment infrastructure, and introducing coffee shops into large-scale residential communities are three important strategies to prevent and treat depression. [ABSTRACT FROM AUTHOR]

• Habitat restoration is crucial to halting biodiversity loss. • Partial restoration of habitats may not be sufficient for recovery of threatened species. • Extensive restoration, considering key habitat components, is critical to success. • Supportive rearing ensures breeding success even in degraded habitat conditions. Increasing concerns about biodiversity loss have prompted international efforts to restore degraded habitats. Unfortunately, wildlife habitat restoration often fails due to inadequate planning, inappropriate scale, or lack of providing key elements of habitats. We investigated the effectiveness of habitat restoration of a threatened amphibian species, the natterjack toad Epidalea calamita , in Estonia, comparing two different restoration approaches – partial habitat restoration and extensive habitat restoration over 16 years. Our goal was to investigate the impact of these two different approaches on the populations, to find out which habitat components play a key role in restoration and which measures are of primary importance in the restoration of habitats for small amphibian populations. We used GIS analysis to identify changes in the area of the habitat complex and breeding sites in seven natterjack toad locations following the restoration activities. To assess population response to habitat restoration, we used the census of the natterjack toad egg-strings as a proxy to the population size. The average number of egg-strings increased by 1.2-fold after partial habitat restoration and 3.5-fold when comparing partial habitat restoration with extensive restoration. Partial habitat restoration, which consisted of improving the condition of extant habitat, had no significant effect on population size (number of egg-strings), while extensive habitat restoration, which included improving and enlarging the entire habitat complex (both terrestrial and aquatic habitats as well as migration matrix between these components) led to population growth. The habitat features that positively influenced population growth were the area of entire habitat complex and the number and size of the breeding sites. In terms of habitat restoration and conservation measures, the number of natterjack toad populations was positively affected by restoration of the entire habitat complex (terrestrial habitats and water bodies), which was supplemented by the supportive rearing of tadpoles. [ABSTRACT FROM AUTHOR]

The study of the evolution of regional typology of archaeological cultures is essential in understanding the trajectory of cultural evolution from a temporal and spatial perspective. In this paper, we focused on the Taihu Lake region, one of the six major regional typologies of Neolithic archaeological cultures in China. By utilizing archaeological site data from the Neolithic Era in this region, our study investigates the evolution of typologies in archaeological cultures at both regional and sub-regional scales. From a broad perspective, quantitative methods were used to explore the cultural evolution process in the Taihu Lake region. The degree of social integration and intercultural inheritance can be reflected through the size of the site and the superimposition of cultural layers. In addition, climate and environmental data were combined to investigate its driving factors. Moreover, GIS (Geographic Information System) analysis methods were used to cluster and partition the cultures in the Taihu Lake region. By identifying distinct groups of sites, it is possible to deconstruct and analyze the interior of the cultures to study their distribution patterns and to explore the exchanges and expansions within the cultures. By integrating both research approaches, our study provides a comprehensive analysis of the evolutionary characteristics of the regional typology of archaeological cultures within the Taihu Lake region. These findings contribute to the development of quantitative methods for studying the evolutionary trajectory of archaeological cultural systems.

The dataset of the Red Data Book vascular plants of Transbaikalia was created based on the latest editions of the Red Data Book of the Republic of Buryatia and the Red Data Book of the Zabaikalsky Krai (Russia). The dataset provides the most updated information regarding the distribution of 271 rare vascular plants (2920 distribution records). The distribution of the studied species was recorded during field surveys using GPS navigators, georeferenced from herbarium specimens, and digitised from printed distribution maps. Each entry in the dataset has various attributes, including belt zone, distribution, ecological, and life-form group features. Distribution patterns for various groups of rare and endangered species were analysed by means of QGIS 3.10 software. Our study has revealed a number of localities of vascular plants listed in the Red Data Book and clarified their distribution within the federal Protected Areas of Transbaikalia, among which Tunkinsky National Park has the highest diversity. Distribution of some rare and endangered species falls under federal protection, but some plants, including endemic species, require better protection. Analysis of various belt zones and distribution groups showed their distinct spread within the study region. Among the studied species, mesophytes and short rhizome perennial plants prevailed. It is also important to preserve vascular plants in the Red Data Book outside Protected Areas. Hence, information from our dataset can be useful for conservation monitoring programmes. Our study provides a basis for future conservation activities and can be applied in the establishment of new Protected Areas or Important Plant Areas in Transbaikalia.

Risks from flooding and poor water quality are evident at a range of spatial scales and climate change will exacerbate these risks in the future. Natural infrastructure (NI), consisting of structural or perennial vegetation, measures that provide multiple ecosystem benefits have the potential to reduce flood and water quality risks. In this study, we intersected watershed-scale risks to flooding and nitrate export in the Mississippi-Atchafalaya River Basin (MARB) of the central U.S. with potential locations of seven NI practices (row crop conversion, water, and sediment control basins, depressional wetlands, nitrate-removal wetlands, riparian buffers, and floodplain levees and row crop change) to prioritize where NI can be most effective for combined risk reduction at watershed scales. Spatial data from a variety of publicly-available databases were analyzed at a 10 m grid cell to locate NI practices using a geographic information system (GIS). NI practices were presented at the regional basin scale and local Iowa-Cedar watershed in eastern Iowa to show individual practice locations. A prioritization scheme was developed to show the optimal watersheds for deploying NI practices to minimize flooding and water quality risks in the MARB. Among the 84 HUC4 basins in the MARB, 28 are located in the Upper Mississippi and Ohio Rivers basins. The Wabash and Iowa-Cedar basins (HUCs 0512 and 0708, respectively) within these basins were found to rank among the uppermost quintile for nearly all practices evaluated, indicating widespread opportunities for NI implementation. Study results are a launching point from which to improve the connections between watershed scale risks and the potential use of NI practices to reduce these risks. [ABSTRACT FROM AUTHOR]

Simple Summary: The distribution of many beetle species remains poorly known, and the knowledge of their ecological requirements is even more fragmentary. Starting with published data on the flea beetle genus Arsipoda in New Caledonia, we investigated the habitat preferences of the 21 species from this area. These species are significantly associated with vegetation growing on volcanic substrates. A few widespread species are also present in secondary vegetation, such as savanna and brushwood. We estimated current suitable areas for the genus using ecological niche models, and identified possible under-sampled areas, mainly in the central sector of the main island. New Caledonia is one of the major biodiversity hotspots. The flea beetle genus Arsipoda (Coleoptera Chrysomelidae) is present with 21 species, all endemic. We investigated, using GIS analyses and ecological niche models, the habitat preferences of these species in terms of vegetation types, altitude, and climate, and assessed the adequacy of knowledge on the spatial parameters affecting the distribution of the genus in New Caledonia. Altitude and geology seem to play an important role in shaping species distribution. Volcanic substrate allows the growth of ultramafic vegetation, which includes most of their host plants. From a biogeographic and conservation perspective, our results report a deep link between Arsipoda species and their habitats, making them particularly sensitive to environmental modifications. [ABSTRACT FROM AUTHOR]

The aim of the article is to present transport accessibility in rural areas in Poland, with a particular emphasis on the problem of transport exclusion. The following research methods were used in the study: literature review, statistical data analysis and GIS analysis. The article presents a transportation picture of rural areas and identifies the main problem issues related to the insufficient accessibility of public transport. The conducted analyses show a significant alienation of the study area which results from underdeveloped public transport and road infrastructure, including pedestrian and bicycle routes. Measures taken by local authorities in this regard show awareness of the problems of the local community, but those authorities do not take sufficient action. The transport exclusion of inhabitants of the analyzed area can be reduced by developing pedestrian and bicycle infrastructure connecting villages with the existing railway network, characterized by a high frequency of trains. [ABSTRACT FROM AUTHOR]

Copyright of Terra Latinoamericana is the property of Sociedad Mexicana de la Ciencia del Suelo A.C. 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.)

Cycling mobility contributes to better livability in cites, helps societies to reduce greenhouse gas emissions and their dependency on fossil fuels, and shows positive health effects. However, unattractive conditions, primarily inadequate infrastructure, hinder the further growth of cycling mobility. As interactions of cyclists with the (built) environment are complex, assessing potential impacts of an intervention aimed at improving physical conditions is not trivial. Despite a growing body of literature on various facets of cycling mobility, assessments are widely limited to a single method and thereby either focus on one detailed aspect or on one perspective. While multi-method and mixed methods studies are emerging, they are not embedded into a structured, integrated framework for assessing systemic effects of interventions yet. Therefore, we propose a conceptual integration of several relevant methods such as questionnaires, interviews, GIS analyses and human sensing. In this paper, we present a generic, extensible framework that offers guidance for developing and implementing case-specific mixed methods designs for multifaceted assessments of interventions. The framework supports domain experts and researchers across different stages of conducting a study. Results from this research further indicate the added value of mixed methods studies compared to single-method approaches. [ABSTRACT FROM AUTHOR]

COVID-19 has become a major public health emergency in the world, which seriously affects the normal operation of cities. Epidemic prevention and control is not only needed in big cities, but also in small and medium-sized cities. In view of this, the paper takes Beian city, China as the research area. This study establishes a street network model through spatial syntax, and predicts the crossing potential and arrival potential of its street network. This will play a reference role for traffic flow control in Beian city. The article uses emerging data. Through GIS spatial analysis method, we identify the hidden danger space of city. Therefore, this summarizes the places where people are easy to gather and some problems of the current situation of the city. The results show that: (1) Beian bridge and Wuyuer street have a good traffic potential. The intersection of Longjiang Road and Beidahuang street and the intersection of Tianyuan North Road and Baocheng road have good accessibility. (2) The intersection of Ping'an Street and Shanghai road is a potential hidden danger space of the city, and the focus of epidemic prevention and control. (3) The coverage rate of urban community medical services to residential land is 58.61%, and the existing medical infrastructure is insufficient. Under public health emergencies, the paper will argue a new development ideas for health and safety small town planning by visualizing the hidden danger space of the city. [ABSTRACT FROM AUTHOR]

The Fortore Valley Project, which began in 2005 and is still ongoing, aims to create an archaeological map of the Fortore Valley. Several intensive and extensive survey campaigns were carried out in the territory of the middle valley. More than 100 km2 have been surveyed and more than 300 sites identified. This contribution analyzes the collected data and proposes a model of population evolution based on a GIS spatial analysis and a preliminary study of the finds. The artifacts found between 2005 and 2006 in the territory of Occhito Lake (Macchia Valfortore) provide a case study for understanding settlement patterns in the Fortore Valley. [ABSTRACT FROM AUTHOR]

The paper presents and discusses the landslide research procedure related to the topography before and after its occurrence, using the comparative analysis of two medium-resolution digital terrain models. The case study is the Jovac mega-landslide—the largest landslide to occur in Serbia in the last 100 years, active for three days in February 1977. The indicators used to determine the volume and movement mechanism were the spatial distribution of elevation differences within the two digital terrain models (DTM), and the analysis of geomorphological features before the landslide. The obtained elevation differences allowed the definition of the approximate landslide volume: 11.6 × 106 m3. All the data obtained indicate that the movement mechanism falls into the category of earthflow.

Particulate Matter (PM) air pollution is a serious concern in the northern Moravia region of the Czech Republic. This study aimed to evaluate the association between the risk of acute hospital admissions for cardiovascular (CVD) and respiratory diseases and PM2.5 concentrations using a geographic information system (GIS). The data on acute hospital admissions for cardiovascular (I00-99 according to ICD-10) and respiratory (J00-99) diseases was assigned to 77 geographical units (population of 601,299) based on the residence. The annual concentrations of PM2.5 in the period from 2013–2019 were assigned to these units according to the respective concentration iso-shapes. The Incidence Rate Ratio (IRR) and 95% confidence interval (CI) were calculated for each concentration category and then compared with the reference category. Statistical analyses were performed using SW STATA v.15. In 2013, approx. half of the population (56%) belonged to the PM2.5 category 34–35 µg·m−3, and 4% lived in PM2.5 concentrations ≥ 38 µg·m−3. During the analysed period, the average concentrations decreased from 30.8 to 21.4 µg·m−3. A statistically significant risk of acute hospitalization for CVD causes was identified in categories ≥ 36 µg·m−3, and for respiratory causes from 34–35 µg·m−3. With increasing concentrations, the risk of both acute cardiovascular and respiratory hospitalizations increased. [ABSTRACT FROM AUTHOR]

Soil properties in the area of the former extraction of high-sulfur brown coals (north of the Central Russian Upland, Tula oblast) are characterized. We have analyzed three key areas, each representing one technogenic abandoned object: a conical unreclaimed heap, a leveled heap, and a remediated (revegetated) heap. A series of maps—temperature, pH, electrical conductivity (EC) of water extract, and contents of particle-size fractions, soil organic carbon, and chemical elements (Al, Ca, Fe, Mg, Mn, and S) in the topsoil (0–10 cm) layer—have been created for these areas. The conical heap is dominated by Spolic Technosols (Loamic), the dark topsoil of which is characterized by a strongly acid reaction (pH 3.2 ± 0.5) and increased electrical conductivity (1.72 ± 0.07 dS/m). In areas composed of burnt material, bleached and cooler (by 1°C) Technosols (Loamic) occur; they have a lower acidity (by 0.7 pH units, p = 0.022) and electrolyte content (by 2.4 times, p = 0.022). Clay loamy soils of the leveled heap are represented by Spolic Technosols and Regosols. Plant-covered Regosols contain more particles <10 µm in diameter and are characterized by higher pH, higher contents of potentially toxic (Al, Fe, Mn and S) elements and Ca (p < 0.001), and lower EC in comparison with bareground Regosols with insignificant differences in the total organic carbon content. The reaction of Anthrosols (Loamic, Transportic) of the revegetated heap is neutral due to the use of natural soil material; these soils are poorly differentiated according to the analyzed indicators, except for an increased S content and a reduced Ca content in soils on the steep slopes (p < 0.01), which is probably caused by the influence of the acid mine drainage. [ABSTRACT FROM AUTHOR]

Abstract The Central Plains has a long history, rich culture, unique geographical advantages, and profound cultural heritage. The occurrence of ancient cities in the Central Plains marks the formation of Chinese state-level societies. The number, size, and distribution of ancient cities have changed greatly from the late Yangshao to the Xia and Shang Dynasties, which reflects the evolution of settlement and social organization. In this study, Geographic Information System (GIS) spatial database technology was used to establish a spatiotemporal database of ancient cities in the late Yangshao, Longshan, as well as Xia and Shang Dynasties in the Central Plains. This paper uses GIS spatial analysis technology to analyze the relationship between the ancient city distribution and the geographical environment, as well as the evolution of ancient city's shapes and sizes. Furthermore, by using the method of the nearest neighbor distance and gravity center analysis, this paper discusses the agglomeration characteristics and gravity center evolution of ancient cities. The results show that: (1) Most of the ancient cities were distributed in areas below 500 m and within 3 km from the river during the time interval from the late Yangshao to Xia and Shang Dynasties; (2) The shape of the ancient cities gradually changed from circles to squares in the Central Plains, which became a unified model for the later ancient city design; (3) The sizes of the 18 ancient cities in the Yangshao period shared high similarity, with an average area of 20 hectares. The sizes of 24 ancient cities in the Longshan period increased significantly, with an average of 39 hectares. During the Xia and Shang Dynasties, there were 22 ancient cities with an average size of 340 hectares, and the grade of sizes became obvious, marking the entrance into Chinese state-level societies; (4) Cities were scattered in the decentralized pattern during the late Yangshao and Longshan periods, whereas they became agglomerative in Xia and Shang Dynasties. This reflects the evolution of the spatial scopes and social organizational forms; and (5) From the late Yangshao to Xia and Shang Dynasties, the gravity center of ancient cities moved around the Songshan Mountain from the northwest to the southeast and again to the northeast.

The recent development of location detection systems allows to monitor, understand and predict the activity patterns of the city users. In this framework, the research focuses on the analysis of a sample of aggregated traffic data, based on the number of mobile devices detected through a network of 55 Wi-Fi Access Points in Milan. Data was collected over 7 months (January to July 2020), allowing for a study on the impact of the Covid-19 pandemic on activity patterns. Data analysis was based on merging: (i) time series analysis of trends, peak hours and mobility profiles; (ii) GIS-based spatial analysis of land data and Public Transport data. Results showed the effectiveness of Wi-Fi location data to monitor and characterize long-term trends about activity patterns in large scale urban scenarios. Results also showed a significant correlation between Wi-Fi data and the density distribution of residential buildings, service and transportation facilities, entertainment, financial amenities, department stores and bike-sharing docking stations. In this context, a Suitability Analysis Index is proposed, aiming at identifying the areas of Milan which could be exploited for more extensive data collection campaigns by means of the installation of additional Wi-Fi sensors. Future work is based on the development of Wi-Fi sensing applications for monitoring mobility data in real time.

In recent decades, rivers in Southern Italy experienced remarkable channel changes. Studies on this topic are relatively recent, and yet, far from defining a morpho-evolutionary trend that is common to all rivers of this area. The types and roles of the different controlling factors are still debated. In this study, we present preliminary results about the width channel changes of major rivers in the Campania region (Southern Italy) in the last 150 years. The aim is to provide new insights that are useful to define morpho-evolutionary trajectories at a regional scale and shed light on the roles played by controlling factors. To this aim, we carried out a GIS-aided geomorphological analysis of topographic maps and orthophotos. The results showed the existence of at least three main phases of channel width variations. Between the 1870s and 1930s (Phase 1), most of the rivers experienced widening. Between the 1930s and late 1990s (Phase 2), all of the rivers underwent dramatic narrowing at high rates. Finally, from the 1990s onwards, no dominant trend was found and variations were negligible. Land-use changes at the basin scale and rainfall changes at a decadal scale are likely the main controlling factors, while variations in human disturbances and local factors seem responsible for changes in general trends.

In Southern Italy, studies dealing with the analysis of multidecadal land-use/land-cover (LULC) changes at the basin scale are scarce. This is an important gap, considering the deep interrelationships between LULC, soil erosion, and river and coastal dynamics. This study provides a contribution in filling this gap by analyzing the LULC patterns and changes in an area of southern Italy, i.e., the Fortore River basin, which occurred between 1960 and 2018. To this end, we conducted a GIS-aided comparison and analysis of LULC data from 1960, 1990, and 2018, respectively. The LULC changes were analyzed at both the basin and the physiographic unit scale. The results showed that most of the LULC changes occurred between the 1960s and 1990s, while from the 1990s onward, great stability in LULC was evident in the basin. The obtained data were mostly coherent with national-, regional-, and basin-scale trends, although some scale-dependent discrepancies were noted. The river and shoreline dynamics fully reflected the duration and the amount of phases of the changes in LULC stability at the basin scale.

Today, anthropic morphologies in river deltas are widespread. The natural morpho-dynamics interact with engineered structures or urbanisation and shape hybrid features not grasped in traditional natural classifications of deltas. However, it is challenging to reconstruct the trajectory of the shifting balance between the natural and the anthropogenic factors over time. This study demonstrates how to systematically integrate human impacts to reconstruct the evolution of deltas at a plurisecular timescale. The approach advocated here is to consider separately the local and global drivers affecting deltaic evolution in using multiscale interdisciplinary chronologies. The high-resolution reconstruction of the evolution of the Francolí Delta in interaction with the city of Tarragona for the last two centuries reveals that the river mouth morpho-dynamics are successively deflected, interacting with an outer harbour and finally fully integrated in modern harbour basins with more significant dredgings at the river mouth. In this last case, the river mouth of the Francolí is no more a delta but a human dominated estuary. Over the past three centuries, the changes affecting the delta of the Francolí are linked to economic globalisation and associated with an increase in ship size. [Display omitted] • Development of tools to reconstruct the evolution of hybrid urban deltas over the last centuries • Georeferencing control point datasets used as a temporal proxy to estimate intensity of urban/port change • Identification of the transitions from a human dominated delta to a human dominated estuary • Elaboration of a methodology for systematically disentangling interlocked chronologies. [ABSTRACT FROM AUTHOR]

Simple Summary: The taxonomy of many African Coleoptera species is remains poorly known, and the knowledge of their ecological requirements is worse still. Starting with original data, we describe morphological differences and ecological data for two flea beetle species, Polyclada bohemani and P. pectinicornis, which traditionally have been used by the Bushmen people in sub-Saharan Africa to poison their arrows. Moreover, we evidence differences in the formations of vegetation used by these two species, which are known to occur mainly in savannah and open forest habitats. Also, we identify differently suitable areas in terms of climatic preferences, in addition to a common territory in East Africa. We also supply, for the first time, the description of the shape of the aedeagus and the spermatheca of both species, supplying important new diagnostic characters for their identification. Coupling the geographic distribution and the ecological requirements of species often supports taxonomy and biogeography. In this contribution, we update the distribution of two flea beetle species of ethno-entomological interest, Polyclada bohemani and P. pectinicornis, by analyzing original data. In addition, we supply their main morphological diagnostic characters, describing their aedeagal and spermathecal shapes for the first time. We also assess their niche differences in terms of climatic and vegetation needs, by means of ecological niche modelling and remote sensing techniques. Several new localities were identified to improve knowledge of the geographical distribution of both species. Moreover, we located a wide climatic suitability overlap in East Africa for these two flea beetle species, while in other areas they show a clear separation. Our analysis also reports that P. bohemani is associated with areas of denser tree cover than P. pectinicornis. Finally, the lectotypes of Diamphidia bohemani Baly, 1861, Clytra pectinicornis Olivier, 1791, and Diamphidia compacta Fairmaire, 1887 are here designated and the new synonymy Clytra pectinicornis Olivier = Diamphidia compacta Fairmaire syn.nov. is proposed. [ABSTRACT FROM AUTHOR]

The progressive development of shopping centers in the world affects the urban structure of cities. These facilities are constantly evolving, which also entails changes in the way their vicinity is shaped. In this context, this article deals with the trend in the way of locating and developing shopping center areas, showing the changes taking place over the years. The subject of investigations are the areas of Kraków's shopping centers—their spatial distribution and the way the land is developed. The aim of the research was to characterize and assess the spatial development of the analyzed shopping centers, to determine the trends in the location and characteristic urban indicators. This made it possible to verify whether possible changes in the way new investments of this type are shaped should be sought in order to improve the quality of the urban environment. To assess the spatial distribution of shopping centers, standard deviation ellipse analysis was used, as well as the nearest neighbor method. In order to determine the parameters of development of shopping centers, basic urban indicators were used, i.e., building plot ratio (BPR), floor area ratio (FAR), and green plot ratio (GPR). Spatial analysis was performed using QGIS software. Studies have shown that brownfield investments are scattered along the north–south axis of the city, while greenfield investments are located at a greater distance from its central area. Over the years, there has been a gradual concentration of shopping centers, but they are still characterized by dispersion. The results of analyses of changes in the land development of their areas indicate that over the years there has been an imperceptible trend of creating objects occupying an increasing part of the investment plot. In turn, the share of total leaf area of greenery is slightly reduced. With the increase in distance from the city center, indicators regarding the floor area and gross floor area of shopping centers are clearly decreasing. On the other hand, the share of greenery increases mildly, although this index remains at a level not exceeding 20%. These results indicate the need to take action to enforce a greater share of greenery within the areas of shopping centers and the need to care for the quality of their surroundings in order to ensure sustainable spatial development of the city. [ABSTRACT FROM AUTHOR]

In recent years, the accelerated development of the remote sensing domain and the improvement of the resolution and frequency of satellite images allowed the increase in the accuracy of the evaluation of morphometric characteristics and the spatiotemporal distribution of pit lakes, including the small ones. Our study quantitatively analyzes small-scale pit lakes in the piedmont and subsidence plains from contact with the Getic and Curvature Subcarpathians from Romania using the normalized difference water index (NDWI) and data series, with different resolutions, from Landsat 8, Google Earth, and Sentinel 2A. The problems encountered in extracting the contours of the gravel pit lakes were determined by the different resolution of the images, the uneven quality of the images exported from Google Earth, and an additional challenge was given by the diversity of the analyzed land surfaces, the land use, and the optical properties of the lakes. A comparison of the obtained NDWI values using data series from Sentinel 2A and Landsat 8 highlighted the importance of resolution and also showed a larger spectral difference between the identified water bodies and the surrounding land in favor of Sentinel 2A. Regarding the vegetation-derived indices, superior leaf area index (1.8–3) was recorded in low-lying plains and mixed areas (tall shrubs, wetlands, etc.) because the river banks have increased moisture that supports taller species with denser foliage and the sparsely vegetated areas are located in agricultural crops and in/near villages. Changes in vegetation richness and abundance can be spatiotemporally monitored using indices derived from the spectral bands of satellite imagery. [ABSTRACT FROM AUTHOR]

This paper points out the possibilities of better exploitation of marine traffic as well as its connection with other kinds of traffic. Special attention is given to the analysis of 1,081 harbors about their availability during the year. The methods and algorithms used in GIS are buffers, cluster, method of interpolations, and network analysis. The methods used for the purpose of conducting numerical analyses are algorithms that served for the analysis of the network, its transport features, and the connectivity with harbors in terms of geospace. The main results found in this research showed that harbors have good connectivity in the first place with road traffic and after that with air and railroad traffic. According to data from 2019, all traffic lines cover 4.1 × 1015 km, and the road traffic has the most significant potential in connection with the harbors. The most connected harbors and airports are in the east coast of North America, west coast, north Europe, southern Europe, south-east Australia, a central part of Oceania, and south-east Africa. The results in the modified Likert scale between airports and harbors showed medium results. The densest road network is located in the eastern part of USA, western and central part of Europe, and east coast of China. The number of possible connected lines between main road nodes and harbors is 0.8 × 109. This type of traffic showed excellent results and connection with harbors. The number of possible connected lines per month between railroads and harbors is 1.3 × 103. This type of traffic showed low connectivity with the harbors. In the end comparison of harbors with air, road and railroad networks were established. The geographical position of harbors was analyzed, and better understanding was performed on a global scale.

Objective: The World Health Organization formally announced the global COVID-19 pandemic on March 11, 2020 due to widespread infections. In this study, COVID-19 cases in India were critically analyzed during the pre-lockdown (PLD), lockdown (LD), and unlock (UL) phases. Method: Analyses were conducted using geospatial technology at district, state, and country levels, and comparisons were also made with other countries throughout the world that had the highest infection rates. India had the third highest infection rate in the world after the USA and Brazil during UL2.0–UL3.0 phases, the second highest after the USA during UL4.0–UL5.0 phases, and the highest among South Asian Association for Regional Cooperation (SAARC) countries in PLD–UL5.0 period. Results: The trend in the number of COVID-19 cases was associated with the population density where higher numbers tended to be record in the eastern, southern, and west–central parts of India. The death rate in India throughout the pandemic period under study was lower than the global average. Kerala reported the maximum number of infections during PLD whereas Maharashtra had the highest numbers during all LD and UL phases. Eighty percent of the cases in India were concentrated mainly in highly populous districts. Conclusion: The top 25 districts accounted for 70.99%, 69.38%, 54.87%, 44.23%, 40.48%, and 38.96% of the infections from the start of UL1.0 until the end of UL phases, respectively, and the top 26–50 districts accounted for 6.38%, 6.76%, 11.23%, 12.98%, 13.40%, and 13.61% of cases in these phase, thereby indicating that COVID-19 cases spread during the UL period. By October 31, 2020, Delhi had the highest number of infections, followed by Bengaluru Urban, Pune, Mumbai, Thane, and Chennai. No decline in the infection rate occurred, even in UL5.0, thereby indicating a highly alarming situation in India.

Dengue is one of the emerging major public health problems, and its incidence varies with climate conditions. It affects millions of people's lives owing to unusual socioeconomic conditions and epidemiological factors. This study was designed to build a web-based GIS alert system for dengue data management and analysis which would centralize information and make it accessible to all relevant stakeholders before, during, and after crises. Three geographical regions were selected in this study. The user interface of the dengue alert system was developed based upon MapGuide. Results indicate that risk level was mainly associated with Breteau Index. Karachi and Lahore were at their highest risk, i.e., level 4. Islamabad and Chakwal were also at the highest risk, i.e., level 4. Attock had high risk, i.e., level 3 followed by Haripur with minimal level 1. The high Breteau Index showed a direct relationship to high potential transmission of dengue outbreaks, a more significant peak of dengue was the result of monsoons, while smaller peaks were observed due to domestic water storage. Hence, it was concluded that monsoon is the best suitable season for the development of dengue. Web-Based GIS Alert System for dengue data management and analysis was developed, centralizing information and making it accessible to all relevant stakeholders before, during & after a crisis. This program creation will provide a more analytical forum for advising multiple levels of risk and an experimental method for measuring the effect of different factors on risk level distribution by adjusting the component's weighting.

Khulna City is extremely vulnerable to the effects of climate change. The city experiences frequent waterlogging during extreme rainfall events. This research prepared a drainage simulation model considering climate change issues for investigating the extent of waterlogging in the city. Watershed and precipitation were analyzed to examine the existing scenario of the study area. Finally, a Mike Urban-based hydrological simulation model was formulated to investigate the severity of waterlogging. As found by precipitation analysis, 180 mm, 346 mm, and 396 mm rainfall might occur for the 5-year, 50-year, and 100-year return period, respectively. This research identified that volume of overland flow might be affected by climate change-induced rainfall. According to the simulation, 62.52% of the study area was waterlogged with different inundation depths. It was found that traffic movements were severely disrupted and structures were hampered due to waterlogging. 45% paved, 77% brick soling, and 65% unpaved roads were inundated by different inundation levels. On the other hand, 61.1% of structures of the study area were affected by waterlogging. The findings of the research might help the concerned authority in decision-making, especially for the drainage and water-related issues, to solve the waterlogging.

The paper researches the landscape transformation of the surface mines of the Đurđevik coal basin (northeastern Bosnia region), where 35.24 Mt of brown coal were produced in the past 74 years, and 227.40 Mm3 of overburden was excavated and disposed of. This type of coal exploitation caused the formation concave and convex of anthropogenic relief forms which ultimately led to significant landscape transformation. These transformations were identified and geovisualized on the basis of field research and comparative GIS analysis of archival maps, satellite images, Digital Elevation Models and plans of this area. As a result of the research, especially comparative GIS analysis of two prepared terrain models of surface mines, the transformation of hypsometry, slope and aspect, hydrographic network, pedological as well as vegetation cover were determined. Obtained geospatial data are geo-visualized in QGIS, and as a result, thematic maps were created to provide insight into the essence of transformations. Therefore, established indicators of landscape transformation can serve as a significant factor in planning the revitalization and land re-cultivation of devastated areas in the Đurđevik coal basin.