GIS Technology Research Articles

Evaluation of Freeze–Thaw Erosion Intensity in the Ecological Function Reserve of the Greater Hinggan Mountains Based on Geographic Information Systems and a Geographic Detector

Freeze–thaw erosion is one of the three major soil erosions in China, including wind erosion and hydraulic erosion, which leads to the destruction of the natural environment, the imbalance of economic development, a threat to personal safety, and irreversible disaster to the country and people. China’s permafrost area accounts for about one-fifth of the country’s land area, and the seasonal permafrost area accounts for half of China’s land area, mainly concentrated in the Qinghai–Tibet Plateau, Xinjiang Province, Heilongjiang Province, Gansu Province, and other regions. In order to establish an evaluation system for the ecological function reserve of the Greater Hinggan Mountains, nine evaluation indicators were selected from the perspectives of topography, climate, soil, and vegetation conditions. GIS technology, a multiple collinearity test, and principal component analysis were used to comprehensively evaluate the freeze–thaw erosion in the ecological function reserve of the Greater Hinggan Mountains. This study categorized the evaluation results into five intensity levels, from micro to severe. Finally, the degree of influence of different influencing factors on freeze–thaw erosion and the interactions between the factors were analyzed using a geographic detector. The results showed the following: (1) The intensity of freeze–thaw erosion in the study area gradually increased from west to east, and the comprehensive evaluation results were −0.2552 to 0.7581. Overall, moderate, severe, and mild erosion accounted for 29.83%, 25.9%, and 21.54% of the total area of the freeze–thaw zone, respectively. (2) Soil moisture content and the annual range in temperature were the main factors contributing to freeze–thaw erosion. The degree of influence of the two effects on freeze–thaw erosion (q = 0.5997) was better than that of the single-factor effect.

Application of GIS technologies for accounting plus trees

Introduction 
 Nowadays, an important forest genetic resources (FGR) conservation activity is the systematization of information on gene pool conservation units in electronic databases. It should be noted, however, that the existing international databases mainly relate only to units represented by populations (stands), which are visualized as polygons on the map. As the scientists from the Department of New Information Technologies in URIFFM have implemented the website “Geoportal: Forests of Ukraine”, it became technically possible to add information on plus trees to its functionality and combine data on tree locations and their characteristics in a united electronic database.
 The study aimed to improve the organization of information on plus trees, their accounting, survey, and use as improvement units by applying free software (Python, JavaScript) and the PostgreSQL relational database with the PostGIS module.
 Materials and Methods
 In 2021, one of the work stages was to develop software and methodology for forming the Plus Trees database and to provide a user manual. In particular, a data schema was created to store both attribute and geographical information on tree improvement units in Ukraine. In addition, attribute and geographical information of forest inventory are used. The database of plus trees contains basic information from plus tree Passports or selection/inventory data from the reports.
 Results 
 The proposed database consists of several panels. The first panel contains elements for setting coordinates and entering plus tree numbers. The second panel is intended for selecting a species name of trees. The third panel of the data entry form contains mandatory attributes (total height of a plus tree and its diameter at a height of 1.3 m). The fourth panel contains other tree characteristics.
 During the testing of the developed database structure and the working out of the instruction, the information on plus trees in seven regions of Ukraine (Kharkiv, Poltava, Sumy, Dnipro, Zaporizhzhia, Luhansk, and Donetsk) was entered, which is about 25% of the country’s plus tree pool. In addition, the design of the web pages was finalized in parallel with the data entry.
 The developed software can be useful to both scientists and forest managers. Its use will simplify the search for plus trees in forest stands for their inventory, and survey, as well as in cases where it is necessary to collect seeds or cuttings for the seed orchards or progeny tests creation in forest enterprises or at forest seed centers. For scientists, it will provide an opportunity to systematize, analyze, and generalize information, in particular, to improve methodical approaches to the selection of the plus trees.
 Conclusions 
 A data schema was created to store both attribute and geographic information on forest tree species tree improvement units in Ukraine. The schema considers the complex structure of coordinated units and includes the developed algorithms for data verification which will allow the effective use of the proposed database for the plus tree accounting.
 8 Figs., 1 Table, 20 Refs.

Złodzieje w międzywojennym Lublinie. Analiza historyczno-kryminologiczna

The article, the subject of which places it in the field of Urban Studies, is an attempt to present a multi-faceted characterization of the community of thieves in Lublin in the interwar period. For this purpose, methods of statistical and criminological analysis and GIS technology were used. First, the estimated size of the study group was determined. When reconstructing its characteristics, the influence of various variables (mainly sex and religion of the perpetrators of the theft) was taken into account. An initial description of the socio-professional structure of the environment was made. Thanks to the use of GIS technology, the local structure of the thieves’ place of residence and theft was reconstructed. By taking into account various variables, the pattern of criminal behaviour functioning in interwar Lublin was described. At the same time, the aggregation of the available data made it possible to construct a map of the then Lublin crime hotspots (i.e. areas characterized by a significant „concentration of pathological phenomena”). Finally, the author tried to answer the question of what motivated some of the then inhabitants of Lublin to resort to stealing. This is the first attempt to describe the spatial conditions of non-normative behaviour in the Second Polish Republic. Polish historiography of that period has not analysed the mutual relations between the nature of local criminal circles and the multidimensional specificity of the places where they functioned. Such research, mainly concerning the phenomenon of prostitution, is slowly becoming a standard in the historiography of Anglo-Saxon countries. The author hopes that the article will encourage similar studies to be undertaken in other cities of interwar Poland. The sum of such studies will make it possible to carry out broader analyses in the future, the results of which will complement the findings of Anglo-Saxon historiography.

CONCEPTUAL FOUNDATIONS FOR THE USE OF GIS TECHNOLOGIES FOR THE STUDY OF COASTAL ECOSYSTEMS OF THE AZOV-BLACK SEA BASIN IN THE FRAMEWORK OF BLUE GROWTH

Topicality. The paper discusses the possibility of using modern GIS technologies for studying coastal ecosystems of the Azov-Black Sea basin within the framework of blue growth. Today, GIS technologies greatly facilitate the study of the impact of natural and anthropogenic factors on the natural environment. The development of these technologies has increased greatly in recent decades. Now they can be used as a separate and independent tool for research in various areas of production. Based on the results obtained on the basis of GIS technologies, it is possible to draw scientific conclusions or create and implement management decisions to maintain sustainable or resilient development of the state of the environment under significant environmental pressure. Also conduct an economic, environmental, social assessment of the consequences of anthropogenic and natural impacts on marine and coastal ecosystems and the terrestrial ecosystem.Aim and tasks. Scientific substantiation of the possibilities of using modern GIS technologies regarding the sustainable development of the coastal ecosystem of the Azov-Black Sea basin within the framework of blue growth was the aim of the study.Materials and Methods. The studies were based on coastal mapping methods. The classification of environmental parameters based on United States Geological Survey (USGS) data was the initial information. The ecological coastal classification (Ecological Coastal Units (ECU)) was developed by the US Geological Survey (USGS) in collaboration with Esri and the Marine Biodiversity Observation Network (MBON). These data were developed as part of a Group on Earth Observation (GEO) initiative called GEO Ecosystems (GEO ECO). They are linked to the GEO ECO task of developing global data on coastal ecosystems.Research results. The state of the coastal strip of the seas of Ukraine according to the classification of environmental parameters based on data from the United States Geological Survey (USGS) was described in this paper. It was stated that the ecological status of coastlines is classified into five ocean parameters, two land parameters and three coastal parameters. The research results showed that the ecological situation of the coastal strips of the seas of Ukraine generally corresponds to the second, third, sixth and fifteenth classes according to the ecological coastal classification.Conclusion. It is presented that the coastal strip classification method discussed in this paper based on US Geological Survey (USGS) data can serve as a very powerful tool in the process of managing coastal zones of the Azov-Black Sea basin. It has been established that GIS technologies at the current stage of development have very great potential for studying coastal ecosystems of the Azov-Black Sea basin within the framework of blue growth.

Технология сценарного анализа территории: планирование экономического развития региона (на примере Новосибирской области)

The results of the study on the spatial organization of the Novosibirsk region, as well as modeling and choice of optimal trajectories of its economic development using the technology of scenario-based analysis of the territory are presented. Based on the laws of mutual influence of spatial factors and main economic drivers of regional development, the best location of new links of production chains and infrastructure facilities are determined. The analysis of the spatial organization of the population distribution system, location of industrial, social and road transport infrastructure facilities in the Novosibirsk region is given. A number of investment and social scenarios of the regional economic development are simulated and evaluated. The work was carried out using GIS technology in combination with external software module and expert database. A variety of suitability maps for investment and social scenarios, infrastructure-secure areas, and best location of prospective production clusters/chains are generated. It is offered to use the described technology when planning regional economic development

The Application of Remote Sensing Technology in Returning Farmland to Forest

Since the 1980s, due to China's economic development, large tracts of forest trees have been felled, causing serious soil erosion and environmental pollution problems. But since the beginning of this century, China has started to convert farmland to forests and various vegetation restoration activities. The purpose of returning farmland to forest is to better protect the environment and prevent soil erosion. This paper introduces the use of remote sensing images to detect the implementation of the project of returning farmland to forest. Explain the method of sample selection and the steps of data collection. The plan on remote sensing monitoring of returning farmland to forest was introduced. At the same time, the help and continuous monitoring of remote sensing technology after returning farmland to forest was introduced. This article contains examples and analysis of scientists using GIS technology to assist in returning farmland to forests. Finally, it includes the prospect and expectation of GIS for the project of returning farmland to forest. And the future application of this technology in this project is prospected.

Accelerated eutrophication alters fish and aquatic health: a quantitative assessment by using integrative multimarker, hydrochemical, and GIS modelling method in an urban lake.

The ramifications of anthropogenic activities on the environment and the welfare of aquatic life in lakes worldwide are becoming increasingly alarming. There is a lack of research in the Indian Himalayas on fish biomarker responses to stressful aquatic conditions and the use of environmetric modelling in GIS. Our research evaluates the environmental health of urban lakes in multiple basins using multi-biomarker endpoints (13 features) in Schizothorax niger and hydrochemical characterization (9 features) of water. The study covers 31 grids, each at a distance of 1 km2. This study demonstrated a statistically significant (P = 0.001) increase in white blood cells (WBC), mean cell size (MCH), helminth infection, and health assessment index score (HAIS) score in fish from a highly eutrophic cluster or basin compared to a reference cluster, which is indicative of environmental stress in fish. Based on hydrochemical similarities, the lake water datasets were divided into three categories using hierarchical cluster analysis (HCA). In the PCA analysis, the first three principal components were responsible for 78.1% of the data's variance. The first principal component (PC1) accounted for 57.4% of the variance and had a strong positive loading from ammonia, total phosphate, pH, nitrates, and total alkalinity for water quality parameters. Additionally, PC1 had a favourable loading from WBC, helminth infection (%), and the health assessment index score (HAIS) for biological endpoints. These findings are in alignment with the results of the multivariate analysis. The trophic state index (TSI) showed a significant (P < 0.05) increase in Cluster 1, which includes the peripheral areas of Hazratbal and Gagribal side (> 70), compared to the reference cluster. The multiple regression model indicates that ammonia, phosphate, and nitrate significantly impact the general health of fish (R2 > 0.7). A novel methodology for monitoring water quality fluctuations across different basins and clusters is presented in this study. By integrating fish health biomarkers and GIS technology, we have developed a comprehensive approach to evaluate the overall well-being of aquatic habitat. This technique may prove beneficial in the management of urban lentic water bodies in the Kashmir Himalayas and other comparable water systems around the globe, while also supporting sustainable practices.

MULTI-DIMENSIONAL POVERTY IDENTIFICATION AND EVOLUTION ANALYSIS IN HEBEI PROVINCE BASED ON NIGHTTIME LIGHT REMOTE SENSING DATA

Abstract. This paper explores the use of spatiotemporal geographic information and advanced technology to effectively address the issue of poverty reduction and development. The focus is on Hebei Province, where multi-dimensional poverty identification and spatiotemporal evolution analysis are conducted using nighttime light remote sensing data. The study establishes a Multi-dimensional Poverty Index (MPI) system based on the regional average nighttime light index (ANLI) extracted from data spanning 2010, 2014, and 2018. A coupled regression model confirms the correlation between MPI and ANLI. Visualization and analysis are performed using GIS technology, Moran's I, and Getis's G* to interpret the identification results. From the experimental results, MPI established in this paper fits well with ANLI, which can be used for poverty identification and monitoring. The established multi-dimensional poverty model can identify multi-dimensional poverty counties better. However, there is a large discrepancy in the match with the traditional list of poor counties issued by the state from the perspective of absolute economic poverty. From the perspective of spatiotemporal evolution, it can be seen that the overall poverty level in Hebei Province has changed with time. Although there is aggregation among poverty areas, the aggregation is not deep. The poverty level of the traditional national-level poor counties has also been reduced, but the pattern of poverty aggregation remains unchanged. The "C-shaped" poverty belt around Beijing formed by Chengde, Zhangjiakou, Baoding and other surrounding counties in northern Hebei Province is still the focus of poverty alleviation work in the next stage.

ANTHROPOGENIC CENTERS AS INDICATORS OF THE ECOLOGICAL STATE OF THE ENVIRONMENT

At the beginning of the XXI century. the landscape and ecologically destabilized environment of any region, including Ukraine, is characterized by abnormally rapid changes in the structural organization of geocomponents and landscape complexes and the relationships between them. As a result, new phenomena arise in the reaction of these natural structures to external, mainly anthropogenic, influences, which lead to unpredictable trends in the development of the environment. In such conditions, various anthropogenic centers are actively developing, among which the role and importance of recreational ones is also increasing.&#x0D; As previous studies show, anthropogenic centers are the most real indicators of the current ecological state of the environment. Knowledge of the processes and phenomena that develop in recreational centers and geoecotones is relevant and promising. On the one hand, they reveal the causes and mechanisms of existing trends of recreational transformations at the local level, and on the other, taking into account their indicator value, they open the way to managing the state of recreational landscapes and, partially, the environment in general&#x0D; In the conditions of today's unstable environment, anthropogenic centers and processes in them are gaining widespread development, as a manifestation of new landscape, energy, substance and informational connections. The goal is to investigate the formation process and substantiate the significance of anthropogenic centers as indicators of environmental development. In the research process, a constructive landscape approach, the principles of complexity and natural-anthropogenic coexistence were applied; methods - retrospective, natural analogies, modeling, GIS technologies. By the anthropogenic center we understand the territory within which, under the influence of human activity, processes develop that lead to a change in the structural organization of geocomponents and landscape complexes. It is shown that the diversity of anthropogenic centers and the processes that develop in them depend not only on the type of economic activity, but also on the mosaic of landscape complexes on the basis of which anthropogenic centers are formed. On the example of the model region - Middle Pobuzhzhia, the process of formation and structure of recreational centers - recreational centers in the coastal zone of the South Bug River and residential centers in forest landscapes were studied. Taking into account the indicator value of processes developing in anthropogenic centers, the possibilities of using these peculiar landscape structures in the development of regional projects of rational nature management are considered. It is noted that in the future it is necessary to intensify the research of anthropogenic centers and their processes, center boundaries and paradynamic relationships with the environment.&#x0D; Keywords: anthropogenic landscape, anthropogenic center, processes, indicators, structure, environment, rational nature management.

ASSESSING THE RELATION BETWEEN LAND USE / LAND COVER CHANGES AND ENVIRONMENTAL PARAMETERS FOR CHENNAI CITY, TAMIL NADU: A REMOTE SENSING AND GIS APPROACH

Abstract. Land use land cover changes in coastal regions are prone to many factors like rapid urbanization and industrialization, tourism, and tideline changes etc. Chennai city, a coastal city of TamilNadu, India has witnessed tremendous changes in land use land cover over the past two decades due to rapid urbanization and industrialization. Remote sensing and GIS technologies can efficiently help in analyzing these changes. In this study, changes in land use land cover patterns of Chennai city from 2005 to 2016 were assessed using IRS P6 LISS III remotely sensed satellite images. Post classification comparison-based change detection method was used to identify the changes in LU/LC. The study shows an increase in compact built-up and industrial areas by 15.36 % and 7.22 % respectively and a decrease in agricultural land, wetlands, and water bodies by 3.66%, 1.73%, and 5.24% respectively over the past decade. The obtained LU/LC changes were correlated with environmental parameters like Land surface temperature (LST), annual average rainfall and average groundwater level to establish a relation. Observations have shown that the temperature in Chennai metropolitan city has increased by 6̊c from 2005 to 2016 and the rainfall has reduced by 100mm from 2005 to 2016. This study demonstrated the relation between LU/LC changes over the past decade and the variations in environmental parameters like increased LST, reduced rainfall and groundwater.

Visibility-Based R-Tree Spatial Index for Consistent Visualization in Indoor and Outdoor Scenes

(1) Background: The smart city management system, with GIS technology as its core, is based on realistic visualization of multiple types of 3D model data syntheses. However, the efficiency barriers to achieving smooth and continuous visualization from outdoor scenes to small indoor scenes remain a challenge. (2) Methods: This paper uses the visibility prediction method to obtain potential visual sets at three levels—outdoor, indoor and outdoor connection, and indoor—and constructs an R-tree spatial index structure for organizing potential visual sets. By integrating these potential visible sets with spatial indexes, scene visualization can be carried out effectively. (3) Results: A near-reality indoor and outdoor scene was used for experimentation, resulting in stable 10% fluctuation visual frame rates around 90 FPS. (4) Conclusions: Spatial indexing methods that combine potential visible sets can effectively solve the continuity and stability problem of indoor and outdoor scene visualization in smart city management systems.

Spatial variation of air pollutants by using GIS modelling

&lt;p&gt;Air pollution in Tamil Nadu has become a pressing issue, as various pollutants have surpassed the limits established by the pollution control board. The major air pollutants in the region, namely sulphur dioxide, nitrogen dioxide, and suspended particulate matter, have been identified. This study aims to monitor and analyse the levels of air pollution in Tamil Nadu, with a specific focus on key parameters such as SO2, NO2, PM2.5, PM10, and ozone. By examining the atmospheric levels of these pollutants and their correlation with temperature fluctuations, the impact on human health and respiratory problems can be evaluated. Moreover, the study will assess the contribution of traffic emissions and vehicular pollution to the concentration of PM10 in different areas. Additionally, GIS technology will be utilized to spatially and temporally investigate pollution concentrations and evaluate their effect on the air quality index. By comparing the pollution concentration from thermal power stations and vehicular pollution, the study will identify the sources of pollutants, with a particular emphasis on SO2 and NOx emissions from vehicles and higher levels of suspended particulate matter from thermal stations. The analysis of these pollutants and their sources will provide valuable insights for the implementation of effective pollution control measures and the management of environmental pollution in Tamil Nadu. Given the concerns regarding pollutants exceeding the prescribed limits set by the pollution control board, monitoring air pollution in Tamil Nadu is of utmost importance.&lt;/p&gt;&#x0D;

Analysis of Spatial Differentiation of Resources and Their Influencing Factors in Long March National Cultural Park in the Context of Red Cultural Heritage

Abstract In this paper, in the context of red cultural heritage, GIS technology is firstly utilized to comprehensively classify the resources of the Long March National Cultural Park, including natural, humanistic and recreational resources in various aspects. Through spatial distribution assessment, the distribution characteristics of each type of resource in the park are revealed. Subsequently, the degree of influence of spatial differentiation of resources was calculated by selecting influencing factors with multi-dimensional considerations. Finally, multiple regression analysis was utilized to establish a quantitative model that assesses the degree of influence of each factor on the spatial differentiation of resources. Among the spatial differentiation influencing factors, market demand and natural factors had the highest weights, 0.5584 and 0.3588, respectively. In addition, it was proved that air quality and comfort had a high significance level of P&lt;0.05, which highlighted the importance of the climate environment. Meanwhile, the positive correlation between the number of scenic spots above the 3A level and trade volume and spatial structure, GDP as well and tourism income highlights the positive influence of red cultural heritage on the spatial differentiation of tourism resources.

Landscape Ecological Risk Assessment and Spatial Pattern Evolution Analysis of the Central Yunnan Urban Agglomeration from 1995 to 2020 Based on Land Use/Cover Change

The central Yunnan urban agglomeration represents a typical urban cluster in the southwestern region of China. The swift urbanization and land use changes in this region pose a severe threat to the ecosystem. A thorough assessment of the landscape ecological risk in the central Yunnan urban agglomeration holds paramount importance for devising effective risk management strategies and sustainable, high-quality development plans. This study utilizes long-term land-use raster data for six time periods (1995, 2000, 2005, 2010, 2015, and 2020) in the Central Yunnan urban agglomeration. Using GIS technology, a landscape risk index model is constructed, and a comprehensive assessment of landscape ecological risks in the Central Yunnan urban agglomeration is conducted using the 5 km × 5 km grid analysis method and Kriging interpolation. The results indicate that, between 1995 and 2020, the Central Yunnan urban agglomeration was dominated by forest land, grassland, and cultivated land as the primary land-use types. Forest land covered over 48% of the total area, while grassland and cultivated land accounted for more than 26% and 18%, respectively. Notably, construction land underwent a significant increase, mainly due to conversions from cultivated land, forest land, and grassland. Over a span of 25 years, the study area has experienced a continual rise in landscape ecological risk. The landscape ecological risk was mainly characterized by medium, higher, and high ecological risk. Grassland predominated in areas with medium levels of ecological risk, while cultivated land and construction land were predominant in regions with higher and high levels of ecological risk. Spatially, regions with lower ecological risk were primarily distributed in the Chuxiong Yi Autonomous Prefecture, whereas areas with higher and high levels of ecological risk were concentrated in Qujing City and Kunming City. The spatial aggregation patterns of landscape ecological risk in the Central Yunnan urban agglomeration featured “high–high” (H–H) and “low–low” (L–L) clusters, both displaying an initial increase followed by a decrease. The primary factors contributing to the rise in the landscape ecological risk index were identified as urban expansion, population growth, ecological fragmentation, and vegetation destruction. The study’s outcomes can offer valuable insights for optimizing land resources and promoting sustainable development in the Central Yunnan urban agglomeration.

Three-dimensional visualization and analysis of marketing data based on GIS information technology

Abstract This paper explores the GIS spatial analysis technique, which models the data as a whole and performs three-dimensional coordinate transformations, maps points in one coordinate system to another, and then establishes slice maps according to the slice resolution and visualizes and analyzes the data. This paper analyzes the spatial evolution characteristics of product A’s marketing dominance, time domain and geographical concern based on the GIS analysis model and compares the traditional method with the GIS spatial analysis method to analyze the market influence of using GIS marketing in order to highlight the advantages of the GIS analysis method in product marketing and data analysis. The results show that the annual contribution rates of the differences in product A attention between regions from 2013 to 2018 are 36.46%, 40.85%, 46.68%, 48.89%, 43.62%, and 44.21%, with an average value of 45%. The influence analysis efficiency of the GIS analysis method is more than 4.4, whereas that of the original method basically maintains the influence analysis efficiency between 3.8 and 4.0, indicating that the influence analysis efficiency of the GIS analysis method is above 4.4, while the influence analysis efficiency of the original method basically maintains the influence analysis efficiency between 3.8 and 4.0. 4.0, indicating that GIS technology has the absolute advantage for marketing data visualization analysis.

Landscape research: from paradigm through GIS technology to monitoring (on the example of the territory of the Slobozhansky National Nature Park)

For 10 years, a group of specialists from the department of physical geography and cartography has been exploring the territories of national parks consistently using information technology tools, improving their use in combination with ground test landscape surveys. This article reflects the experience of such scientific and applied development in relation to the territory of Slobozhansky National Nature Park. The purpose of this development is to improve the existing technologies of complex interpretation of geodata for the design and monitoring of the territory in their systematic combination with the methods of online mapping and in-depth meaningful interpretation for the scientific support of the organization of the territory and the administration of the national parks. This article covers currently known and possible scientific approaches and measures that rely on scientific and applied measures used by the national parks administration in management processes. The most recent issues highlighted in this article compared to the previous published works of the authors are the formulation of the trinity paradigm of the process of creating a landscape model of the territory. A set of individual tasks is defined, the consistent implementation of which ensures the achievement of the goal: selection of appropriate types, scales and optical ranges of remote sensing, taking into account the landscape conditions inherent in the location of the territory of the national park; development, on these grounds, of the technology of thematic landscape mapping, geoecological assessment and control of results on test areas of the terrain; peculiarities of drawing legends of applied landscape maps using GIS technologies; making corrections and additions to the existing defining documents of projects of the national park organization and developing recommendations for their improvement; design of the monitoring system of Slobozhansky National Nature Park. In the paradigm of applied landscape research, the national park should be designed based on the trinity of remote sensing and human intelligence: a) the technical level of providing remote sensing; b) taking into account the ambiguity of the optical image of the area depending on the purpose of geodata interpretation; c) tasks that are also solved ambiguously: the selection of certain ranges and scales of soundings, the selection of test areas and even the compilation of legends of a large-scale landscape map. The specified ambiguity is manifested in the variability of constructions and creates the subjectivity of applied landscape research. Methodological basis. The system-structural approach is manifested in the identification and identification of those spatial connections between visually significant and hidden from direct observation properties (mainly water-heat balance indicators) of the landscape, which change in an ambiguous dependence on regional background indicators, therefore must be taken into account in design and monitoring. Scientific results. In addition to theoretical generalizations, the article briefly presents the implementation of the highlighted approach in the study of landscapes of the Slobozhansky National Nature Park.

Assessment of vegetation cover of three Araltobe islands using gis technologies

Assessment of vegetation cover of three Araltobe islands using gis technologies

Study of crimes in the city of Kokand using GIS technologies and sociological questionnaires

Formulation of the problem. It is known that the influence of the demographic, social and economic conditions of the region on criminal activity is significantly high. In this place, researching the types of crime characteristic of cities with different functions, and identifying hotspots where criminal activity has intensified within the city will further enrich the scientific and practical aspects of the geography of crime. The use of geographic information systems (hereinafter GIS) in the implementation of these tasks is an important issue on the agenda of the field today. Analysis of recent research and publications. Today, in most developed countries, GIS is widely used to identify common crime areas and organize preventive measures for crime prevention. Research in this regard is almost undeveloped in the Republic of Uzbekistan. Formulation of the purpose of the article. In this study, theft and drug-related crimes committed in the city of Kokand, Fergana region, were investigated using the Hot Spot analysis method of the Arc GIS (version 10.8) program. The problems of combating crime in identified theft and drug-related crime centres were studied with the help of sociological surveys (conducted with prevention inspectors) and an action plan for crime prevention was developed. Presentation of the main research material. The indicators of crime levels in the small administrative areas of Kokand, in the Fergana region, have been examined in this study. In addition to the types of crimes that are most commonly committed in large social infrastructures (for example, markets, parks, public places) and their specific characteristics, we also discussed the levels of these types of crimes according to age, gender and population size. Problems and prospects of the development of crime geography in Kokand city. Hotspot analysis consists of identifying hotbeds of crime in the area and developing proposals and recommendations based on this. Proposals and recommendations for reducing crime in the city of Kokand. First, this technology is effective in identifying crime trends, organizing preventive measures, planning crime prevention strategies, and improving public safety. Second, GIS is adapted for data processing, mapping, and spatial analysis, thereby increasing the effectiveness of crime analysis and quickly creating a quality criminal analysis map. Thirdly, according to the results of this technology, optimization of the distribution of law enforcement officers, proper and planned deployment, and development of more effective crime reduction measures will help.

СИСТЕМЫ ПОДГОТОВКИ И ВЫПУСКА ГИДРОЛОГИЧЕСКИХ ПРОГНОЗОВ ГИДРОМЕТЦЕНТРА РОССИИ

Nowadays operational forecasts of river flow are implemented in the form of automated systems for issuing forecasts, as well as delivering forecast products to users. Only within the framework of these systems, using modern software, the maximum efficiency is achieved from the use of hydrological models by automating all processes, combining them with operational database management systems, as well as with modern GIS and web tools for generating forecast products and delivering them to users. Over the past decade, the Hydrometeorological Research Center of the Russian Federation (Hydrometcenter of Russia) has been actively developed automated systems for issuing hydrological forecasts and communicating them to users. The systems are based on modern hydrological models, all available hydrometeorological information, including numerical weather forecasts, as well as modern software tools, including GIS and web technologies. Such systems have been implemented for large river basins, including the basin of the Kuban and the rivers of the Black Sea coast of Russia, the Amur and Volga basins. In recent years, the system has been developed for the entire territory of Russia. These systems are actively used by the Roshydromet operational forecasting divisions, as well as by specialists from the EMERCOM of Russia.

Optimising Flood Risk Reduction in Bali's Provincial Government Center through Cultural Philosophy Approach and GIS-based Conservation of Infiltration Wells

Bali's administrative center, Renon Village, faces an increased risk of flooding due to land cover change. Conservation is needed to reduce this risk by improving water infiltration capacity. Infiltration wells are a solution to increase infiltration capacity. The Tri Hita Karana concept approach, especially Palemahan, in Balinese culture is adopted to implement infiltration well conservation with the support of GIS technology and by flood regulations and infiltration wells. The analysis showed that with a land area of 100 m2, the dimensions of the infiltration well were obtained in diameter of 1 m, and a depth of 2 m with a total of 2 pieces could absorb 2.46 m3 of rainwater. The application of infiltration wells in the study area can reduce the discharge and volume of flood peaks of 2 years, 5 years, 10 years, 25 years, 50 years, 100 years, and 200-year flood peaks, effectively reducing from 8.61% to 31.24%. This research supports the planning of sustainable drainage with a Low Impact Development approach. In addition, the construction of infiltration wells also contributes to preserving water conservation and applying green buildings that are environmentally friendly and energy efficient.