Geographic Information System Database Research Articles

Inventory & Analysis of Minor Concrete Infrastructure for the City and County of Denver

The City and County of Denver (CCD) and the University of Colorado Denver (UCD) have been involved in cooperative research since 1997. Although a variety of projects have been completed, the main deliverable has been a comprehensive Geographic Information System (GIS) database containing both major and minor infrastructure. Major infrastructure included assets such as bridges and streets, while minor infrastructure includes assets of alleys and street subsystems, which include curbs, gutters, inlets, sidewalks, driveways, crosspans, and curb ramps. This paper presents the equipment and methodology used for the inventory and analysis summary of CCD’s concrete curbs, gutter pans, and alleys.

Attributes Classification for Elaborating the Information of Digital and Imaging Mapping

The rapid development of information has made it possible for everyone to obtain the latest information, complete and accurate, in real time, anytime, anywhere, all over the world. Any information is fine catching up by updated with the latest news and even detailed information on local conditions. With the same analogy, detailed information regarding land utilization, land containing, landscape provision, earth surface contour, etc., are required to inform and elaborate any appropriate decision needed. The Geographic information systems (GIS) is a recent technology commonly used by research in earth science to facilitate many layered detail information by one way to get up-to-date, detailed information. In this research, the GIS utilizes several types of imaging data such remote sensing images and digitize images. As the name suggests, this system captures detailed geographic information about a location or region. By inputting classified images of remote sensing results into a GIS database at regular intervals (adjusted as necessary, such as every year, every two years, every three years, etc.), the number of information sources that can be obtained increases. There are several reasons for that. First, remote sensing images are images that cover the entire surface of the Earth. Next, remote sensing images are images that contain information about the state of the earth's surface. Third, a variety of information can be obtained by performing appropriate image processing. Furthermore, this research could be elaborated by implementing an artificial intelligent algorithm to create a robust outcome.

Municipal Sidewalk Inventories: A Tool to Support Compliance with the Americans with Disabilities Act

Sidewalks are a critical but underresourced part of our transportation system. Despite their importance in promoting equity, health, and safety, sidewalk networks are often underfunded and municipalities may have little information about their condition. We conducted a document review, informant interviews, and a descriptive study of 21 selected U.S. cities to compare practices for conducting sidewalk inventories and their use for improving municipal sidewalk networks. Although diverse in geography, population size, density, and median household income, the selected cities represent a sample of convenience and not a random sample of U.S. cities. The results suggested that compliance with the Americans with Disabilities Act is a primary motivator for conducting sidewalk inventories and the cost of conducting an inventory is not prohibitive. Inventory methods included walking each sidewalk segment using handheld devices, LIDAR mounted on wheeled vehicles, and aerial photography, with data uploaded to geographic information system databases. Sidewalk inventories can be used to promote equity by increasing the percentage of city streets that have sidewalks. Areas for future study include developing better cost estimates for each type of sidewalk inventory method, examining the legal implications of sidewalk inventories, and estimating the incremental health benefits obtained for each additional investment in sidewalk construction and repair.

Identification and mapping of objects targeted for surveillance and their role as risk factors for brucellosis in livestock farms in Kazakhstan.

Objects for Targeted Surveillance (OTS) are infrastructure entities that can be considered as focal points and conduits for transmitting infectious animal diseases, necessitating ongoing epidemiological surveillance. These entities encompass slaughterhouses, meat processing plants, animal markets, burial sites, veterinary laboratories, etc. Currently, in Kazakhstan, a funded research project is underway to establish a Geographic Information System (GIS) database of OTSs and investigate their role in the emergence and dissemination of infectious livestock diseases. This initial investigation examined the correlation between brucellosis outbreaks in cattle and small ruminant farms in the southeastern region of Kazakhstan and the presence of OTSs categorized as "slaughterhouses," "cattle markets," and "meat processing plants. The study area (namely Qyzylorda, Turkestan, Zhambyl, Almaty, Zhetysu, Abay and East Kazakhstan oblasts), characterized by the highest livestock density in the country, covers 335 slaughterhouses (with varying levels of biosecurity), 45 livestock markets and 15 meat processing plants. Between 2020 and 2023, 338 cases of brucellosis were reported from livestock farms in this region. The findings of the regression model reveal a statistically significant (p<0.05) positive association between the incidence of brucellosis cases and the number of OTSs in the region. Conversely, meat processing plants and livestock markets did not exhibit a significant influence on the prevalence of brucellosis cases. These results corroborate the hypothesis of an elevated risk of brucellosis transmission in regions with slaughterhouses, likely attributable to increased animal movements within and across regions, interactions with vehicles and contact with slaughterhouse staff. These outcomes mark a pivotal advancement in the national agricultural development agenda. The research will be extended to encompass the entire country, compiling a comprehensive OTS database.

Gis-Based assessment Of Traffic System In Osisioma Ngwa L.G.A,Abia State.

Geographic Information System (GIS) technology is a tool that was used to gather, store, analyze, and visualize data about the city's traffic flow, including information on roads in Osisioma Ngwa L.g.a. in Aba Abiastate.The objective is to make better decisions based on accurate and current information in order to increase the sustainability and efficiency of Osisiomatraffic flow. This could involve things like streamlining public transit lines, lowering traffic and pollution levels, and enhancing accessibility for all locals. An overview of the main GIS data models for traffic analysis is provided in this project effort. Based on that, a route database for the city of Osisioma is created in a GIS context. The GIS database displays all the elements involved in routing and analyzing traffic flow, including nearby land use in the city, various modes of transportation, and routes for these modes, the city's road network, and more. The most likely reasons of traffic congestion in Osisioma LGA were short road width, poor pavement, and indiscriminate parking of vehicles along the road corridors, mainly by commercial cab drivers, according to an analysis of the results and other performed queries. In conclusion, it was found that the Donald junction route. Mcc junction route and the Osisioma Flyover are the most crowded sections of the whole road networks evaluatedThis project shows how the application of GIS has helped in the proper assessment of the causes of traffic congestion in osisiomaNgwaL.g.a, provide Adequate policies and enforcement should be put in place so as to eradicate indiscriminate parking of vehicle on the road and reckless driving and not obeying the traffic light

Implications for Paleontological Heritage Conservation: The Spatial Distribution and Potential Factors Controlling the Location of Fossil Sites of Shandong Province in China

Shandong Province in China is rich in paleontological fossils and has a long history of fossil research. However, research on the distribution characteristics and potential factors of discovered fossil sites in Shandong Province is limited and insufficient, making it difficult to comprehensively plan for the protection and utilization of fossil sites in Shandong Province. The study constructs a basic geographical information system (GIS) database with 133 discovered fossil sites and geological and socio-economic data of Shandong Province and studies fossil sites’ spatial distribution characteristics and the spatial relationship with potential factors at a regional scale. The results are as follows: (1) The fossil sites in Shandong Province are concentrated in the mountainous area of central Shandong and the hilly area of the Shandong Peninsula, with significant uneven distribution characteristics, including two agglomeration areas and seven sub-agglomeration areas. (2) Natural geographical conditions, such as topography, paleogeography, and stratigraphy, play a positive role in the distribution of fossil sites, and there are apparent concentrations in the following areas: at an altitude greater than 100 m; the Lower Paleozoic and Cretaceous sedimentary rocks; and the active areas of paleo-tectonics. (3) A certain degree of negative correlation exists between socio-economic conditions, such as roads and population density, and the number of fossil sites, and a positive correlation exists between disposable personal income and those fossil sites. The operational procedure presented here is a simple, objective, applicable method that can enhance our understanding of the spatial distribution patterns and influencing factors of the discovered fossil sites of Shandong Province and support more effective and appropriate planning for paleontological heritage conservation.

THE MAP OF SOLAR RADIATION FOR FIVE MUNICIPALITIES LOCATED IN THE SOUTHEASTERN AND EASTERN PART OF THE REPUBLIC OF SRPSKA

The world’s transition process to renewable energy sources emerged as its commitment to limit global warming, mainly caused by the greenhouse gas emissions. Solar energy drives most of the processes on the planet, and it can be directly converted into electricity by using photovoltaic technologies. This way of electricity generation proves to be one of the most promising in the achieving the aforementioned goal. Among all renewables, Bosnia and Herzegovina mostly exploits hydropower, whereas its solar potential is almost untouched. In this paper, we produce the map of solar radiation for five municipalities located in the southeastern and eastern part of the Republic of Srpska. The map is obtained by using the Photovoltaic Geographical Information System (PVGIS) database. For selected towns, we present average daily irradiation, average monthly and yearly global horizontal irradiation, direct normal irradiation, global irradiation at optimum angle as well as diffuse to global ratio and average temperature. Besides, we give estimates of electricity that could be generated by solar power plants of 5 kWp nominal power, installed on the rooftops of households or buildings. These estimates may guide householders in their decisions to harvest solar energy as independent energy producers.

Landslide susceptibility mapping using frequency ratio method along the Bhaderwah-Bani Road, Jammu and Kashmir, India

This study outlines a method for landslide susceptibility mapping utilizing remote sensing and geographic information systems (GIS). Since the terrain from Bhaderwah to Bani in J&amp;K is prone to landslide threats, the study has been conducted there. The purpose of the current study is to determine and identify the significant terrain elements causing landslides. Nine contributing factors on landslides were taken into account throughout the analysis. Thematic data layers are created in the GIS domain based on local events. Topographic maps, satellite images, on-site observations and publicly available published maps are used to gather the landscape data. To determine the standardized scores of criteria expressing their factor of importance for a given decision problem in terms of thematic parameters, categories, and their normalized weights the Frequency ratio (FR) method is used to digitize these maps along with tabular data and to create a GIS database. A particular landslide susceptibility zonation (LSZ) map was created on a GIS platform by statistically combining weightages from several thematic maps. Using FR, the LSZ map was divided into five separate susceptibility zones. According to the study's finding, 8% of the area is in a very high susceptibility zone, with the remaining 12%, 15%, 23%, and 42% falling into high, moderate, low, and very low susceptibility zones, respectively. The outcomes of the current study might aid policy and decision makers in moving forward with regional development initiatives including land use planning.

Research on Traditional Village Spatial Differentiation from the Perspective of Cultural Routes: A Case Study of 338 Villages in the Miao Frontier Corridor

The traditional villages in the Miao Frontier Corridor are the products of migrations, social interactions, and transportation, as well as production interchanges between the central plains and the frontiers of China in ancient times. They have made significant contributions to local multicultural inheritance and regional social development. However, with the increasing pressure of heritage conservation and sustainable development, there is growing attention on how traditional villages can tap into their cultural continuity and distinctiveness. This study introduces the concept of cultural routes, with the aim of integrating traditional villages of different ethnicities, regions, and characteristics from the perspective of diversity. It analyzes their spatial differentiation characteristics and the factors influencing them, providing basic support for the overall protection of traditional villages with special characteristics. Following this idea, 338 remaining traditional villages in the Miao Frontier Corridor were selected as the research objects. With the help of 91-satellite maps and a geographic information system (GIS), a cultural and geographic database of the traditional villages in the Miao Frontier Corridor was constructed to objectively explore the roles of the traditional villages’ natural geography, historical, and humanistic elements in the spatial categorization on a large scale. This study shows that the spatial distribution of the traditional villages in the Miao Frontier Corridor is uneven, exhibiting a cluster structure with of a “single primary nucleus with multiple secondary nuclei”. The spatial differentiation of traditional villages exhibits a similar clustering pattern based on individual natural geographic factors, such as elevation, mountain undulation, slope, and water systems. Additionally, there is discernible regularity concerning historical and humanistic factors, such as ethnicity type, age of village establishment, and the presence of guard stations. Further exploring the micro-spatial level, the natural geographical environment serves as the structural foundation of traditional village space, while the historical and humanistic environment fosters multiple differentiations in traditional village space in terms of influencing factors. Together, these factors jointly influence the spatial differentiation of traditional villages. This study enriches the dynamic aspects of linear cultural heritage preservation and also provides new insights into the specialized development within the overall protection of traditional villages.

Establishing a Geo-Database for Drinking Water and Its Delivery and Storage Components with an Object-Based Approach

Infrastructure facilities that serve the city as a whole and should be considered as a whole should be built in an orderly and planned manner, just as cities are. Infrastructure facilities become obsolete over time. Aging infrastructure facilities may become unserviceable over time. When the need for maintenance and repair arises, it is mandatory to renew or replace infrastructure facilities. In this case, necessary maintenance/repair and renovation works should be completed as soon as possible. These infrastructure facilities may not be transferred to maps in the digital environment and may often be managed with person-oriented information, not institutional. There is a problem for decision makers, namely, that the construction, maintenance, repair and governance of infrastructure facilities cannot be carried out systematically, on time and effectively. The only way to provide such a service is through the combined use of today’s informatics, Geographical Information System (GIS) and Global Navigation Satellite System (GNSS) technologies, unlike the classical methods of the past. The aim of the study is to effectively manage the scarce resource of drinking water and its facilities, which are an important component of infrastructure facilities, with a method that uses current mapping technologies and informatics facilities. Especially after Infrastructure for Spatial Information (INSPIRE) and the transformation of Land Administration Domain Model (LADM) to the International Organization for Standardization (ISO) standard, Turkish National Geographic Information System (TNGIS) studies and many academic studies carried out in Türkiye have been modelled with Unified Modelling Language (UML) diagrams in accordance with LADM. Similarly, within the scope of this study, UML diagrams were prepared, and then a GIS database was established. Thanks to field workers, chiefs, engineers and others working on water pipelines, all necessary data, classic, as-built and digital, were gathered. These were collected in different ways in order to conduct spatial and non-spatial analysis in the study area of Trabzon. The most important result from the study is that the entire drinking water infrastructure of Trabzon has been transferred to the system in a structure that allows spatial queries, ensuring that damage detection on water components, maintenance and repair processes are carried out in the shortest time and at the lowest cost. The investigation and application of a sensor-integrated GIS-aided system, making it possible to control and monitor the use of lost and illegal water to be controlled as well as inform consumers who will be affected by possible maintenance and repair, is recommended.

DEVELOPMENT OF A GIS-BASED SYSTEM FOR IRRIGATION MANAGEMENT AND FLOW DISTRIBUTION

Abstract. The systematic management of irrigation operation of medium and large gravity irrigation systems (IS) significantly affects the delivery efficiency of irrigation from the source to the farm level. An interactive spatial database that integrates system data handling and irrigation distribution assessment functionality can be implemented, which has not yet been developed in existing NIS in the Philippines. This study proposes a framework model in developing a geographic information system (GIS) database for irrigation systems that integrates a GIS-based irrigation network distribution analysis model. The creation of a model framework for the development of a functional GIS-based database for IS management and flow distribution is comprised of five stages namely: (1) selection and determination of significant irrigation system data, (2) determination of required estimation parameters, (3) GIS development, (4) irrigation network distribution model development, and (5) selection of applicable water distribution assessment techniques. The GIS-based database and integrated model for irrigation provide essential data records of the irrigation system that could easily be viewed systematically and integrated into any GIS. In addition, data packages can easily be shared and run even on low-end computers. Features of the proposed irrigation model include flow volume simulation, time of delivery simulation, irrigation scheduling, remote sensing model integration for automated evapotranspiration computation, volumetric assessment, assessment of the timing of irrigation, and distribution optimization.

An “Earthly” Manifestation of Power: The Architectural and Urban Contexts of Iznik Tiles Produced under the Patronage of the Ottoman Palace

ABSTRACT Çini-making, which is an Ottoman underglaze ceramics tradition included in the UNESCO Representative List of the Intangible Cultural Heritage of Humanity, was used extensively in the monumental architecture of the Ottoman Empire in the fifteenth and seventeenth centuries, including mosques built by the Ottoman sultans and their family members. Iznik tiles reveal undeciphered relationships between Ottoman patronage and monumental architecture, and unwritten architectural rules and norms concerning tile designs. To contribute to the conservation, interpretation, and presentation of the mosque spaces, it is important to understand the tangible and intangible cultural qualities of Iznik tiles. This study examines the cultural qualities of Iznik tiles by analysing the historical and architectural qualities of the five selected sultanic mosques and by integrating the literature and field surveys through Geographic Information Systems (GIS) modelling and database. We aim to analyse and develop an evaluation model to investigate the cultural qualities of Iznik tiles on regional, urban, and architectural scales using GIS.

Integrating GIS and BIM with MCDM for infrastructure planning: a comprehensive framework

PurposePresent study aimed to integrate Geographic Information Systems (GIS) and Building Information Modeling (BIM) in conjunction with multicriteria decision-making (MCDM) to enhance infrastructure investment planning.Design/methodology/approachThis analysis combines GIS databases with BIM simulations for a novel highway project. Around 150 potential alternatives were simulated, narrowed to 25 more effective routes and 3 options underwent in-depth analysis using PROMETHEE method for decision-making, based on environmental, cost and safety criteria, allowing for comprehensive cross-perspective comparisons.FindingsA comprehensive framework proposed was validated through a case study. Demonstrating its adaptability with customizable parameters. It aids decision-making, cost estimation, environmental impact analysis and outcome prediction. Considering these critical factors, this study holds the potential to advance new techniques for assessment and planning railways, power lines, gas and water.Research limitations/implicationsThe study acknowledges limitations in GIS data quality, particularly in underdeveloped areas or regions with limited technology access. It also overlooks other pertinent variables, like social, economic, political and cultural issues. Thus, conclusions from these simulations may not entirely represent reality or diverse potential scenarios.Practical implicationsThe proposed method automates decision-making, reducing subjectivity, aids in selecting effective alternatives and considers environmental criteria to mitigate negative impacts. Additionally, it minimizes costs and risks while demonstrating adaptability for assessing diverse infrastructures.Originality/valueBy integrating GIS and BIM data to support a MCDM workflow, this study proposes to fill the existing research gap in decision-making prioritization and mitigate subjective biases.

An open geospatial database as a tool for geoheritage management at national scale: The case study of Greece

Geological heritage or geoheritage is of at least equal significance to – and sometimes also interwoven with – cultural heritage. Hence, it holds the potential of scientific, educational, cultural, aesthetic, and touristic value. Nevertheless, geoheritage has not attracted the same level of attention as cultural heritage to date, especially regarding its sustainable management and suitable conservation strategies. Yet actions and measures are mandatory to preserve and highlight geological heritage and to reduce threats that may cause its deterioration or even extinction. To this end, geospatial science and technology provide the means for documenting and dealing with geological heritage throughout the individual steps of the geoheritage management process. In this study, we present a holistic approach to geoheritage management at the national level for Greece, based on the implementation of a Geographical Information Systems (GIS) database that also enables the coupling of geoheritage with a plethora of readily available geospatial information from remote sensing and other sources. The results demonstrate that an appropriate, geospatial record of geological heritage can have a crucial contribution to geoheritage management from its identification, to its monitoring, protection, and exploitation for educational, scientific, recreational, and other purposes.

Offshore application of landslide susceptibility mapping using gradient-boosted decision trees: a Gulf of Mexico case study

Among natural hazards occurring offshore, submarine landslides pose a significant risk to offshore infrastructure installations attached to the seafloor. With the offshore being important for current and future energy production, there is a need to anticipate where future landslide events are likely to occur to support planning and development projects. Using the northern Gulf of Mexico (GoM) as a case study, this paper performs Landslide Susceptibility Mapping (LSM) using a gradient-boosted decision tree (GBDT) model to characterize the spatial patterns of submarine landslide probability over the United States Exclusive Economic Zone (EEZ) where water depths are greater than 120 m. With known spatial extents of historic submarine landslides and a Geographic Information System (GIS) database of known topographical, geomorphological, geological, and geochemical factors, the resulting model was capable of accurately forecasting potential locations of sediment instability. Results of a permutation modelling approach indicated that LSM accuracy is sensitive to the number of unique training locations with model accuracy becoming more stable as the number of training regions was increased. The influence that each input feature had on predicting landslide susceptibility was evaluated using the SHapely Additive exPlanations (SHAP) feature attribution method. Areas of high and very high susceptibility were associated with steep terrain including salt basins and escarpments. This case study serves as an initial assessment of the machine learning (ML) capabilities for producing accurate submarine landslide susceptibility maps given the current state of available natural hazard-related datasets and conveys both successes and limitations.

A Framework for Data Collection and Management to Support the Comprehensive Development of African Agriculture

Agriculture is a key source of food and health for humanity. However, the hazardous way this activity is still cared for in some developing countries like the Republic of Benin, with poor quality farming data collection mechanisms, can guarantee neither quality and sustainability of production, nor comprehensiveness and efficiency of agricultural interventions. Such shortcomings ineluctably contribute to the limited success of the Comprehensive African Agriculture Development Program (CAADP) promoted by the African Union and its regional chapters, in most African countries. Based on these preliminary remarks, this paper suggests a systematic and automated monitoring, evaluation, learning, and adaptation (MEL) framework that will further be tested, consolidated, validated, and promoted, first in the Republic of Benin, and later in other African countries. This framework is made of local, regional, and national geographic information systems (GIS) which will further serve as databases for planning and interventions in the agricultural sector. The proposed GIS superposes lands’ details (sizes, soils’ characteristics, rainfall data, etc.), stakeholders’ details (demographics, crops, livestock, agricultural practices, etc.), and agricultural value chains’ details. Local, regional, and national agricultural value chains’ development platforms will bring stakeholders together, and serve as sources and co-users of the GIS data. Local, regional, and national MEL and GIS management skilled AEAS agents will facilitate systematic data collection and GIS database management. The data collection and treatment tools should allow the use of all kinds of data formats, including voice and image records, given the oral orientation of most agricultural stakeholders. This original idea emerged from observations during national and regional field experiences, and from the literature that revealed the efficiency of automated real-time and quality data for comprehensive and evidence-based decision-making in development interventions.

Impact of Land Use and Land Cover Change on Deforestation in the Central Taraba State: A Geographic Information System and Remote Sensing Analysis

Deforestation, the widespread clearance of forests for various land uses, has become a significant global environmental issue with far-reaching consequences. Deforestation in the study area was identified, categorized, assessed, and interpreted using Landsat 5, 7, and 8 from the years 2008, 2014, and 2020, respectively. A geographic information system (GIS) database of land use and land cover categories and their changes were created. The results showed that several anthropogenic human activities, including agriculture and wood harvesting, were driving a general retreat of the forest area. The study further shows that between 2008 and 2020, forest area decreased by 8.5% with an annual rate of 0.33%, other vegetative areas increased by 2% with an annual rate of 0.077%, and non-vegetative areas increased by 1.5% with an annual rate of 0.58%. The hotspot map shows that the rate at which the reserve is deteriorating and the conversion of the forest area to other vegetation and bare ground are only a matter of time. The study recommended that the government should adopt rigorous policies to protect forest reserves from unauthorized habitation by encouraging the use of alternative firewood fuel sources to reduce the pressure on the forest.

Reducing non-revenue water in Luxor-Egypt using GIS

Unaccounted for Water, referring to all losses from the water system, illegal or otherwise, frequently exceeds 40% of all water produced. This represents a major strain on utility operations and budgets. A large amount of Unaccounted for Water indicates large losses in the revenue of the utilities. Deficiency in financial resources normally leads to a deficiency in the performance of the utility. This deficiency in performance may affect the operation and maintenance of treatment plants and network components. The main objective is to reduce Unaccounted for Water rates. The multi-stage systematic process involves measuring water flow, leak detection, installing and fixing meters, reducing illegal connections, and increasing billing and collections, and developing Geographic Information System layers and databases for all of them. Another objective is to connect Geographic Information System maps with Billing, hydraulic systems, hotline systems, etc. After choosing a pilot area, we review similar activities, conduct field visits, and hold meetings, prepare the timeline schedule, prepare, and implement base maps and the water network, analyze, and compare end-line results, and report the results. A high reduction in the Unaccounted for Water percentage is expected due to fixing the discovered leaks. The issue of Unaccounted for Water, encompassing losses from the system, whether legal or illegal. This places a significant burden on both utility operations and budgets. A substantial volume of Unaccounted for Water signifies considerable revenue losses for the utilities, and the financial constraints often translate into performance deficiencies within the utility. We formulated a methodology aimed at assisting utilities in lowering Unaccounted for Water rates. This structured, multi-stage process includes activities such as measuring water flow, implementing leak detection measures, installing, and repairing meters, minimizing illegal connections, and enhancing billing and collection.

GIS technologies for assessing hydroecological state of rivers in the Aral sea basin

This article analyzes the results of a study on the difficulties and possibilities of using information technology to support the adoption of novel approaches in hydroecology and hydropower. Additionally, it examines the advancement of geographic information systems (GIS) for hydroecological and hydro-technical monitoring and their utilization as educational tools for students. Researching the utilization of information systems to develop environmentally friendly approaches for managing hydraulic infrastructure. The paper centred on the present subject of developing GIS systems for hydro-ecological monitoring, which are valuable tools for improving the information systems of the Aral Sea basin. Furthermore, it assists in optimizing models to create ecologically sustainable approaches for utilizing hydrotechnical constructions. Utilizing the amalgamation of findings from many scientific studies inside a single GIS database may be both feasible and advantageous, serving as a versatile instrument for modeling. An illustration of this methodology may be seen as a unified system where the amalgamation yields outcomes: the water-salt balancing system across all rivers in Uzbekistan. The digital mapping system and schemes are used to build ecologically sustainable methods for operating hydraulic and hydroelectric plants in Uzbekistan. The Aral Sea basin monitoring system (ASBMS) is a computerized system that uses ArcView to monitor the hydroecological quality of surface waters in the Aral Sea basin. Keywords: ecological situation, hydroecology, hydroecological maps, GIS technology, Aral Sea basin.

An integrated GIS-based multivariate adaptive regression splines-cat swarm optimization for improving the accuracy of wildfire susceptibility mapping

A hybrid machine learning method is proposed for wildfire susceptibility mapping. For modeling a geographical information system (GIS) database including 11 influencing factors and 262 fire locations from 2013 to 2018 is used for developing an integrated multivariate adaptive regression splines (MARS). The cat swarm optimization (CSO) algorithm tunes the parameters of the MARS in order to generate accurate susceptibility maps. From the Pearson correlation results, it is observed that land use, temperature, and slope angle have strong correlation with the fire severity. The results demonstrate that the prediction capability of the MARS-CSO model outperforms model tree, reduced error pruning tree and MARS. The resulting wildfire risk map using MARS-CSO reveals that 20% of the study areas is categorized in the very low wildfire risk class, whereas 40% is under the very high class of fire hazard.