ArcGIS Tools Research Articles

Automated GIS-based decision tool for rehabilitation of a drinking water infrastructure in Tlemcen, Algeria

Water resource management relies heavily on the utilization of decision-making systems to guide the strategic rehabilitation and renovation of infrastructure within water distribution networks (WDNs). This study aims to develop and apply a scripting tool in ArcGIS for decision-making in WDN. It combines a collection of decision support systems, including Geographic Information Systems (GIS) and multi-criteria analysis, for infrastructure renovation and rehabilitation. The research is divided into two main sections. The first focuses on creating and implementing the analytic hierarchy process tool in ArcGIS, while the second discusses its application in the study area, which is the drinking water distribution network of an urban area in Tlemcen, located in the Northwest of Algeria. The study’s results reveal that 25% of the network is in critical condition and require immediate rehabilitation. Sixty-two percentage of the network is classified as moderately urgent, indicating a pressing but less immediate need for intervention. Finally, the remaining 13% of the network requires attention over a longer timeframe for rehabilitation. The main criteria influencing pipe prioritization are material (26% of total weight), laying date (26% of total weight), and pressure (20% of total weight). This developed tool can be easily adapted and applied by engineers and water management officers. It serves as a guide for decision-makers and planners in urban water management in Tlemcen and can be replicated and applied to other areas worldwide.

Effects of Environment Change Scenarios on the Potential Geographical Distribution of Cunninghamia lanceolata (Lamb.) Hook. in China

Changes in climate and environmental conditions have aggravated the severity and unpredictability of plant survival and growth. Cunninghamia lanceolata (Lamb.) Hook. is an economically important timber tree. Exploring its potential distribution and dynamic changes and identifying the leading environmental variables affecting it will help to adjust the planting range reasonably according to the habits and climate change, thus contributing to its survival and growth. Based on the MaxEnt model and ArcGIS tool, climate, soil, terrain, human activities, variable environment layers, and 395 C. lanceolata distribution points were used to simulate and analyze the geographical distribution characteristics of C. lanceolata in the current and future periods (the 2050s and 2070s) under RCP2.6, RCP4.5, RCP6.0, and RCP8.5. The results showed that C. lanceolata was suitable to grow in a subtropical monsoon climate with warm, humid, abundant rainfall and a relatively gentle topography. Additionally, using percent contribution, permutation importance, and the knife-cutting test, we noted that the annual precipitation (Bio12), human activities (Hfp), minimum temperature of the coldest month (Bio6), mean temperature of the coldest quarter (Bio11), precipitation of coldest quarter (Bio19), annual temperature range (Bio7), and elevation were the leading environmental factors affecting the geographical distribution of C. lanceolata. Among them, it should be noted that the impact of human activities was negatively correlated with suitable habitat areas of C. lanceolata and led to the degeneration of suitable habitats and fragmentized distribution. In addition, predictions have shown that the areas of habitats under other scenarios will be characterized by an increasing and then decreasing trend by the 2050s and 2070s, except for the RCP2.6 scenario, under which the suitable habitats area of C. lanceolata will increase continuously. The core distributional shifts showed that the suitable habitats of C. lanceolata will gradually shift and migrate to high-latitude areas due to global warming. This study focused on the characteristics of suitable habitats of C. lanceolata under different climatic scenarios using more environmental factors and scenarios than before, aiming to provide a theoretical basis and guidance for the management and utilization of forest resources, the planning of suitable planting areas, and germplasm protection.

Level of Climate Change-Related Coastline Change Case Study: East Coast Tourism Area of Surabaya, Indonesia

The effects of climate change are most readily apparent in coastal regions, where rising sea levels have changed the coasts. Since several of the Surabaya Coastal Areas serve as tourist hotspots, this influence could lead to fewer visitors as a result of a decline in environmental quality. This study attempts to quantify the extent of coastal modification brought on by climate change in Surabaya’s popular tourism region along the east coast, Indonesia. The Digital Shoreline Analysis System (DSAS) extension tool in ArcGis is the technique employed. The information used is satellite picture data collected over a ten-year period. This study’s findings show that the shoreline has changed by 55.08 meters, which is the biggest amount. The subdistricts of Keputih Village, Wonorejo Village, and Medokan Ayu Village have the fastest rate of coastal change.

Assessment of Land Capability for Urban Building Height Planning in Bukittinggi, Indonesia

With urban development and rapid growth, the challenge of land capability to accommodate urbanization is becoming increasingly complex. Therefore, the concept of a "vertical city" has surfaced, indicating the importance of integrating sustainable development with spatial and building height restrictions. This study aimed to analyze the land capability of Bukittinggi City in relation to building height control. The methodology adopted adhered to the Ministry of Public Works Regulation Number 20/PRT/M.200 and relevant literature, using the scoring and overlay method with ArcGIS tools. The analysis results showed that the majority of Bukittinggi's area had a relatively high level of land capability, with a significant portion covering 71.3% of the total territory. Moreover, most buildings adhered to the land capability, even though seven unsuitable buildings were identified. These results served as a crucial basis for making informed decisions regarding land use and fostering sustainable urban development.

Spatial Pattern of Ecosystem Services and the Mechanism of Eco-Industry Formation in South China Karst Nature Reserves

Karst nature reserve (NR) ecosystems are vulnerable, and the development of regulatory and cultural services industries is still in its infancy. Realization of ecological product value (EPV) is a crucial way to promote the integration of eco-protection and industrial development in nature reserves (NRs). This study calculates EPV using a modified equivalent factor, analyzes the spatial pattern of EPV using the fishnet tool in Arc GIS, and constructs a model for realizing EPV. Finally, the driving factors for the formation of eco-industry are identified using the grey correlation analysis (GCA) method. The results show that (1) the regulatory service products in karst NRs play a decisive role in EPV, and forest ecosystems have significant EPV potential; (2) high-value grids are concentrated in the core and buffer zones of karst NRs and the spatial distribution of EPV in the experimental zone is highly heterogeneous, with high and low-value grids in mixed distribution; (3) the realization model of EPV in karst NRs follows the logic of “preservation, transformation, and appreciation”; (4) human resources (0.813), ecology (0.798), industry (0.693), policy (0.783), the market (0.778), and economy (0.715) are essential drivers for the formation of eco-industry in karst NRs. Overall, karst NRs can promote the realization of EPV through planning and regulation of land use, based on the interaction between internal and external factors, to promote the coordinated development of eco-industry in karst NRs. This study provides a reference for the scientific management of eco-resources and the sustainable development of eco-industry in karst NRs.

Land use change analysis and the impact on the streamflow of the Keureuto River

The increasing of population is proportional to the natural resource’s exploitation. Over the past few decades, the activity has converted the natural land into agricultural and plantation fields, urbanized areas, and other types of use. In some watershed systems, land use conversion has reduced the system’s capability both in sustaining water resources and in preventing extreme runoff. Such is the case of the 302 km2 Krueng Keureuto Watershed which supports the water supply for the North Aceh District, both for irrigation and municipal use. Therefore, this study aims to investigate the land use change in the system and its impact on the streamflow. The land use is classified based on the Landsat satellite images of the year 2015 and 2021, using the Supervised Classification tool in ArcGIS. The impact is investigated using a Hydrologic Modelling System (HEC-HMS). The outlet is defined based on the Automatic Water Level Recording (AWLR) station downstream of the Keureuto River. A significant reduction of the forest is estimated at 27.67% in seven years. In contrast, the land use types such as urbanized areas, agricultural fields, and shrubs are increasing to 6.34%; 4.75%; and 5.75%, respectively. Based on the model simulation it is confirmed that the changes in land use have altered the river flow regime.

Determination of the main agricultural crops for the Metropolitan Puebla-Tlaxcala area using the Papadakis Methodology

agricultural crops in the Puebla-Tlaxcala Metropolitan Area (ZMPT). Design/methodology/approach: From April to June 2022, the classification process for identifying the main crops in the ZMPT was conducted. This process utilized monthly climatic data from the Mexican Institute of Water Technology (IMTA), analyzed through the Papadakis methodology (1970). Subsequently, the results were mapped using the Weighted Overlay (WO) tool in ArcGIS v.10.2. Results: The Papadakis methodology identified 10 seasonal crop types, particularly for summer and winter. The WO tool categorized potential areas into five classes: optimal, highly suitable, acceptable, and unacceptable for the establishment of several crops. Limitations on study/implications: This study has limitations due to incomplete and scarce databases and the complexity and cost associated with the software used. However, the implications for agriculture include the potential to enhance and diversify agricultural production by identifying optimal areas for establishment, especially in urban-peri-urban agricultural areas (UPAs). Findings/conclusions: This study successfully identified the main crops cultivated in the ZMPT and highlighted potential areas for their establishment. The generated cartographic information enables the strategic distribution of productive agricultural systems, particularly in UPAs, to adapt to regional climate fluctuations in the short, medium, and long term. Besides, an adequate distribution in the implementation of productive agricultural systems, particularly in UPAs, depending on fluctuations in the climatic conditions of the region.

Spatial–Temporal Water Balance Evaluation in the Nile Valley Upstream of the New Assiut Barrage, Egypt, Using WetSpass-M

The components of water balance (WBC) that involve precipitation, evapotranspiration, runoff, irrigation, and groundwater recharge are critical for understanding the hydrological cycle and water management of resources in semi-arid and arid areas. This paper assesses temporal and spatial distributions of surface runoff, actual evapotranspiration, and groundwater recharge upstream of the New Assiut Barrage (NAB) in the Nile Valley, Upper Egypt, using the WetSpass-M model for the period 2012–2020. Moreover, this study evaluates the effect of land cover/land use (LULC) alterations in the study period on the WBC of the NAB. The data provided as input for the WetSpass-M model in the structure of raster maps using the Arc-GIS tool. Monthly meteorological factors (e.g., temperature, rainfall, and wind speed), a digital elevation model (DEM), slope, land cover, irrigation cover, a soil map, and depth to groundwater are included. The long-term temporal and spatial mean monthly irrigation and precipitation (127 mm) is distributed as 49% (62 mm) actual evapotranspiration, 15% (19 mm) groundwater recharge, and 36% (46 mm) surface runoff. The replacement of cropland by built-up areas was recognized as the primary factor responsible for the major decrease in groundwater, an increase in evapotranspiration and an increase in surface runoff between LCLU in 2012 and 2020. The integration of the WetSpass model with GIS has shown its effectiveness as a powerful approach for assessing WBC. Results were more accurate and reliable when hydrological modeling and spatial analysis were combined. The results of this research can help make well-informed decisions about land use planning and sustainable management of water resources in the upstream area of the NAB.

Six classes named entity recognition for mapping location of Indonesia natural disasters from twitter data

PurposeThe purpose of this study is to provide the location of natural disasters that are poured into maps by extracting Twitter data. The Twitter text is extracted by using named entity recognition (NER) with six classes hierarchy location in Indonesia. Moreover, the tweet then is classified into eight classes of natural disasters using the support vector machine (SVM). Overall, the system is able to classify tweet and mapping the position of the content tweet.Design/methodology/approachThis research builds a model to map the geolocation of tweet data using NER. This research uses six classes of NER which is based on region Indonesia. This data is then classified into eight classes of natural disasters using the SVM.FindingsExperiment results demonstrate that the proposed NER with six special classes based on the regional level in Indonesia is able to map the location of the disaster based on data Twitter. The results also show good performance in geocoding such as match rate, match score and match type. Moreover, with SVM, this study can also classify tweet into eight classes of types of natural disasters specifically for the Indonesian region, which originate from the tweets collected.Research limitations/implicationsThis study implements in Indonesia region.Originality/value(a)NER with six classes is used to create a location classification model with StanfordNER and ArcGIS tools. The use of six location classes is based on the Indonesia regional which has the large area. Hence, it has many levels in its regional location, such as province, district/city, sub-district, village, road and place names. (b) SVM is used to classify natural disasters. Classification of types of natural disasters is divided into eight: floods, earthquakes, landslides, tsunamis, hurricanes, forest fires, droughts and volcanic eruptions.

Effect of climate change on reference evapotranspiration at the subnational scale: case study of Egypt

PurposeThis study’s fundamental objective is to assess climate change impact on reference evapotranspiration (ETo) patterns in Egypt under the latest shared socioeconomic pathways (SSPs) of climate change scenarios. Additionally, the study considered the change in the future solar radiation and actual vapor pressure and predicted them from historical data, as these factors significantly impact changes in the ETo.Design/methodology/approachThe study utilizes data from the Coupled Model Intercomparison Project Phase 6 (CMIP6) models to analyze reference ETo. Six models are used, and an ArcGIS tool is created to calculate the monthly average ETo for historical and future periods. The tool considers changes in actual vapor pressure and solar radiation, which are the primary factors influencing ETo.FindingsThe research reveals that monthly reference ETo in Egypt follows a distinct pattern, with the highest values concentrated in the southern region during summer and the lowest values in the northern part during winter. This disparity is primarily driven by mean air temperature, which is significantly higher in the southern areas. Looking ahead to the near future (2020–2040), the data shows that Aswan, in the south, continues to have the highest annual ETo, while Kafr ash Shaykh, in the north, maintains the lowest. This pattern remains consistent in the subsequent period (2040–2060). Additionally, the study identifies variations in ETo , with the most significant variability occurring in Shamal Sina under the SSP585 scenario and the least variability in Aswan under the SSP370 scenario for the 2020–2040 time frame.Originality/valueThis study’s originality lies in its focused analysis of climate change effects on ETo, incorporating crucial factors like actual vapor pressure and solar radiation. Its significance becomes evident as it projects ETo patterns into the near and distant future, providing indispensable insights for long-term planning and tailored adaptation strategies. As a result, this research serves as a valuable resource for policymakers and researchers in need of in-depth, region-specific climate change impact assessments.

Land use types at the boundaries between settlements and open landscape in suburbanised settlements on the example of the Czech Republic from the perspective of the potential for planting tall vegetation

Background and aimsSettlement boundaries in suburbanised areas represent a specific environment connecting the settlements with the surrounding open landscape. Traditionally, tall vegetation (such as orchards planted in the backyards) used to form this boundary, providing a gradual transition as well as a wide range of ecosystem services. With suburbanisation, however, there appears to be a trend towards sharper boundaries between the open landscape and the settlement. The degree of the effect of suburbanisation on the boundary has, however, not been thoroughly explored yet. In this paper, the current character of such boundaries is evaluated from the perspective of land use and potential for tall vegetation. In addition, possible impacts of such changes are discussed, and measures for preventing these impacts are proposed. MethodsOn 50 suburbanised settlements in the Czech Republic, the land use types, water permeability, and suitability for the growth of tall vegetation within an 80 m belt enveloping the boundary between the settlement and open landscape were analysed using ArcGIS tools and artificial intelligence algorithms. ResultsThe dominant land use types were Residential on the inner side of the margins and Farmland on the outside of the margins, with a few meters of the transitional zone. These homogeneous land use types represented approx. 70 % of land use types at a distance of 10 m or more from the boundary. The representation of water-absorbing areas on the residential side of the boundary declined from 80 % at the settlement boundary to approx. 55 % at 40 m inside the settlement; this drop was even more pronounced for areas suitable for tall vegetation (from 90 % at 20 m outside of the boundary to 70 % at the boundary and 35 % at 40 m within the settlement). However, the potential for planting tall vegetation at the outer margins is underutilised. ConclusionsThe dominance of farmland in the immediate vicinity of the boundary between suburbanised settlements and open landscape and the underutilisation of the potential for planting tall vegetation on the outer margins deprive the settlements of ecosystem services of such ecotone and lead to the loss of habitats for wild animal and plant species.

Exploring driving factors of soil erosion using a Multiscale GWR model: a case study at Central Citarum Watershed, West Java, Indonesia

To address challenges in soil erosion management and ecological rehabilitation, understanding the determinants of soil erosion is crucial. This research aims to achieve two primary objectives: (1) delineating the spatial patterns of soil erosion within the designated region and (2) identifying the influential factors using the Multiscale Geographical Weighted Regression (MGWR) methodology. The methodological framework involved the creation of grid datasets, with soil erosion as the response variable and a combination of physical and socioeconomic attributes as predictors. We extracted 550 data points from raster datasets, specifically centered on village locations, using the ‘extract multi-value to point’ tool in ArcGIS. The R Studio environment was utilized to select the relevant factors influencing soil erosion. The geographical detector technique was applied to determine the explanatory power of each determinant concerning the spatial patterns of soil erosion. Subsequently, data from the Ordinary Least Squares (OLS) model underwent MGWR analysis. The findings reveal that the Central Citarum Watershed experiences an estimated annual soil erosion of 23.16 million tons, averaging 102.01 tons per hectare. The analysis identified LS (slope length and gradient) and CP (vegetative cover and supportive practices) as the primary variables influencing the spatial variability of soil erosion. Notably, the MGWR model demonstrated enhanced explanatory capacity and effectiveness compared to both the OLS and Geographically Weighted Regression (GWR) methodologies.

A Toolbox for generalized pumped storage power station based on terrain in ArcGIS Environment

China proposed the goal of carbon peak by 2030 and carbon neutrality by 2060 at the 75th session of the United Nations General Assembly. Accelerating the development of clean energy is the key to achieve this carbon peak and neutrality goal. However, large-scale grid connection of new energy brings great challenges to the stable and safe operation of power grid. As a regulating power source and energy storage power source, pumped hydro energy storage (PHES) has strong regulating ability and is characterized as a reliable operation with broad prospects for development. However, the current field-survey-based method of site selection for PHES is time consuming, labour intensive, and costly. Improper site selection would cause ecological environment damages among other problems. A scheme or protocol that enables the automated site selection of PHES is therefore urgently required. The objective of this study was therefore to develop a new tool based on digital elevation model (DEM) and geographic information system (GIS) hydrological analysis function to screen out the potential PHES sites. ArcGIS, as a leading geospatial software, provides a set of geoprocessing (GP) tools for raster analysis. ArcPy is a Python package that runs in the ArcGIS environment. It can quickly invoke existing tools in ArcGIS to create custom extension modules. In this study, ArcPy was used to screen the site of PHES based on reservoir capacity and dam height, etc. Taking the southern Shaanxi Province, China as an example, comprehensive evaluation method integrating objective weighting method and multi-factor statistical analysis method is proposed and tested. This new method can promote the solution of the PHES site selection planning and preliminary reserve of PHES, and provide scientific reference and theoretical basis for the development and construction of PHES.

Assessing potential building damage caused by leakage to urban tunnels

AbstractBuilding damage is a major risk for urban tunnelling. In areas with soft soil conditions, water ingress to bedrock tunnels can cause significant pore pressure reduction, consolidation settlements and damage to nearby buildings and infrastructure. In Norway, guidelines to determine leakage limits are based on a national database, containing data on water ingress, pore pressure reduction and influence zone. To support future projects, the database has been implemented into an ArcGIS tool and merged with the Ground Impact and Building Vulnerability method to assess potential building damage at early project stages. In this paper, the adopted methodology is presented and its application is shown for a new subway tunnel in Oslo, Norway.

Space Based Application For The Inventory, Distribution And Analysis Of Healthcare Facilities In Nasarawa State, Nigeria

The study aimed at carrying out the inventory, distribution and analysis of healthcare facilities in Nasarawa state using remote sensing and geographic information system (GIS) techniques. Field mapping was conducted and coordinates with attributes of these healthcare facilities were recorded. GIS analysis using multiple ring buffer and cluster extension of the spatial analysis tool in ArcGIS 10.8 version was used. Result revealed a total of 1,119 healthcare facilities distributed across the state. Out of which 807 are government primary healthcare, while 227 are private primary and 24 government secondary whereas 60 are private secondary and one tertiary healthcare facility. Result also revealed significant disparities in the distribution of government tertiary healthcare facilities across the local government areas with only having such facility in the whole of Nasarawa State. This indicates limited access to specialized healthcare services. The general trend of health facilities in Nasarawa state is towards clustering because these facilities are intended to reside close to settlements and thus will present some degree of clustering though the level may differ between different types of facilities. The buffer analysis in secondary healthcare showed a wide number of settlements by local government that need more present of secondary healthcare facility in Nasarawa state showing good accessibility of health care facility to the settlement within 1 km and 10 km radius. The government own primary healthcare facilities record a z-score of -17.52725 and 0.677488 nearest neighbour ratio suggesting a very strong trend towards clustering, and from the analysis, there is a less than 1% chance of randomness or dispersion. This indicates that there is a lot needs to be done to ensure a more dispersed and competitive distribution of these facilities. The private primary healthcare facilities have a z-score of -18.527370 and nearest neighbour ratio of 0.357209, which shows very significant clustering alongside an identical 1% probability of random distribution. This clearly indicates that there is need for strategic planning and resource allocation to the health sector to ensure an equitable, dispersed and competitive distribution of these facilities. The findings from this study have implications for the actualization of the United Nations’ health-related Sustainable Development Goal (SDG-3) and also to achieve the Universal health coverage.

Impact of Particulate Matter as an Air Quality Pollutant Released from Quarry Activities in Akamkpa, Cross River State, Nigeria

This study examines the impact of particulate matter (PM2.5) and (PM10) as an air quality pollutant released from quarry operations at a quarry site in Akamkpa, Cross River State, Nigeria. Rock quarrying is the practice of obtaining quarry materials, typically rocks, from above or below land surfaces and crushing or grinding them into fragments to produce various rock sizes. For air quality assessment, concentrations of the air pollutants were measured at different locations within and around the quarry site, from a height of 1.5m above ground level. Highly sensitive digital portable meter was used for the measurement of PM2.5 and PM10. The Inverse Distance Weighted model (IDW) tool in ArcGIS was used to perform a spatial interpolation analysis on the data measured from the field monitoring during the dry and wet seasons. The findings indicate that during the dry season, PM2.5 and PM10 concentrations ranged from 292µg/m3 to 127.33µg/m3 and from 377.67µg/m3 to 222.67µg/m3 respectively, while during the wet season, they ranged from 239.67µg/m3 to 92.00µg/m3 and from 276.33µg/m3 to 124µg/m3. The findings suggest that residents of the study area should limit their exposure, especially during the dry season.

Anthropogenic Geomorphology of the Magoye Riverine Landscape, Zambia

Aims: This study sought to investigate the role of humans in modification and creation of landforms in river channels with specific focus on the Magoye River. The objectives of this study were to: document geomorphic characteristics of Magoye River, assess anthropogenic activities and landuse/cover change in the buffer zone and, examine key anthropogenic river landforms. Study Design: This study was inspired by analytic eclecticism research philosophy and adopted mixed methods, particularly concurrent research design. Methodology: The landcover images were analysed using image processing tools in ArcGIS 10.4 for the periods 1990, 2005 and 2020. Descriptive statistics were used to quantitatively visualize the changes in land cover/use. The data was collected using field observation, photography, GPS and a Likert scale tool and, analysed using descriptive statistics, specifically frequency graphs showing mean and standard deviation. Results: The results showed that sand mining and brick moulding accounted for almost 68% of human activities in the 11.48 km2 delineated buffer zone by 2020, compared to 35% in 1990. These punctuated creation of sand conical heaps, stone bunds, pot holes and pools, shallow wells on the river bed, gullies induced by water accessed points, which weakened river banks. Generally, sand mining and brick moulding were the most severe in the buffer zone and they created wide range of deformations riverbanks and beds. The findings further revealed that Magoye River had geomorphologically evolved into Reservoir River covering 80% on the upstream (139.4km) and Sand Bank River accounting 20% on downstream (27.6 km). Conclusion: The study concludes that, the catchment and buffer zone have undergone degradation propelled by anthropogenic activities, which have punctuated channel morphological degradation. Although the Magoye River channel was highly damaged, it was not beyond regeneration if restoration measures, were collaboratively identified and implemented with the local communities.

Groundwater quality assessment for sustainable human consumption in arid areas based on GIS and water quality index in the watershed of Ain Sefra (SW of Algeria)

Groundwater quality in arid areas is an issue that requires attention, as often the only source of irrigation and drinking. In this manuscript, a research area of 4590.2 Km2, which depicts important problems of water scarcity and water-poor quality in an arid environment, was assessed. Therefore, GIS-based mapping of the region was carried out to examine the adequacy of groundwater quality. Forty-three (43) groundwater samples were gathered in the fieldwork in March 2022, and various physicochemical limits were analysed within Gibbs and Piper diagrams. Likewise, spatial distribution maps of twelve (12) main water quality parameters were performed using the Inverse Distance Weighted interpolation method (IDW) in the ArcGIS tool. The Water Quality Index (WQI) has been calculated considering Algerian drinking water quality standards and to know the suitability of water for human consumption. A Pearson’s test was carried out to explore the correlations among the different variables. Major results of the study showed that, among anions and cations, sulphates (SO_{4}^{ - 2}) and calcium (Ca) were the most common ions. The WQI showed that 30.23% of the samples have excellent water quality, 62.79% belong to the good water category, and 6.97% fall into the poor water quality category. Thus, the correlation study between many physicochemical properties also showed significant positive relationships between WQI, TDS, EC, TH, {text{SO}}_{4}^{ - 2}, {text{Ca}}^{ + + }, and {text{Mg}}^{ + + }. In agreement with the Gibbs diagram, most of the samples fall into the field of rock-water interaction dominance. Hence, this research shows that using GIS and WQI as joint approaches could be useful tools for the decision-making process of local and international authorities and water resources management.

Estimation of Shoreline Changes of Can Thanh Townlet and Long Hoa Commune in Hochiminh City

Can Gio is considered as the “green lung” of Ho Chi Minh City with the mangrove ecosystem with many investment projects as well as livelihood models associated with the strength of mangrove forest. Currently, in Long Hoa commune and Can Thanh town, the “Can Gio sea encroachment project” is being implemented with the goal of creating an urban area of sea encroachment tourism, resort and business tourism with events, conferences and seminars. In the process of construction, infrastructure expansion, service development and dense population concentration, it is inevitable that the shoreline change processes will be affected, especially within these two coastal areas. This study presents a method of using the integrated DSAS tool in ArcGIS together with Sentinel 2A image data to assess the shoreline change of Long Hoa commune and Can Thanh town from 2015 to 2022. By extraction shoreline through the MNDWI index, the results show that the process of accretion and erosion were intertwined, except for the sections of the shore that have been reinforced with sea dykes. It is evident that in the land at Dong Tranh Cape, southwest of Long Hoa commune and northeast of Can Thanh townlet, the process of erosion is taking place, while in the southwest, the process of accretion is predominant. The results of this study can be considered as a reference for coastal development in Can Gio sea area in the present and in the future.

Geospatial Illustration of Groundwater Potential Zone in Pandavapura Taluk of Mandya District, India.

The current research delineates groundwater potentiality in the Pandavapura taluk to facilitate sustainable groundwater management. Multiple data layers were obtained from various sources and weighted using an Analytical Hierarchical Process (AHP). Then overlay using the Union tool in Arc GIS 10.8. This process resulted in a classified groundwater potential zone layer, which was classified into five categories. The results of this research were then validated utilizing 10-year pre and post-monsoon water depth data. The findings indicate that geospatial technologies and AHP can effectively delineate potential groundwater zones.