Mapping Groundwater Potential Zones in the Widyan Basin, Al Qassim, KSA: Analytical Hierarchy Process-Based Analysis Using Sentinel-2, ASTER-DEM, and Conventional Data

Remote Sensing, Год журнала: 2025, Номер 17(5), С. 766 - 766

Опубликована: Фев. 22, 2025

Groundwater availability in semi-arid regions like the Widyan Basin, Kingdom of Saudi Arabia (KSA), is a critical challenge due to climatic, topographic, and hydrological variations. The accurate identification groundwater zones essential for sustainable development. Therefore, this study combines remote-sensing datasets (Sentinel-2 ASTER-DEM) with conventional data using Geographic Information System (GIS) analytical hierarchy process (AHP) techniques delineate potential (GWPZs). basin’s geology includes Pre-Cambrian rock units Arabian Shield southwest Cambrian–Ordovician northeast, Saq Formation serving as main aquifer. Six soil types were identified: Haplic Calcic Yermosols, Calcaric Regosols, Cambic Arenosols, Orthic Solonchaks, Lithosols. topography varies from steep areas northwest nearly flat terrain northeast. Hydrologically, basin divided into 28 sub-basins four stream orders. Using GIS-based AHP weighted overlay methods, GWPZs mapped, achieving model consistency ratio 0.0956. categorized excellent (15.21%), good (40.85%), fair (43.94%), poor (0%). GWPZ was validated by analyzing 48 water wells distributed area. These range fresh primary saline water, depths varying between 13.98 130 m. Nine wells—with an average total dissolved solids (TDS) value 597.2 mg/L—fall within zone, twenty-one are fifteen classified remaining fall TDS values reaching up 2177 mg/L. results indicate that central zone area suitable drilling new wells.

Язык: Английский

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An application of remote sensing and GIS used in groundwater potential zones for sustainable urban development in coastal areas between Chettikulam and Kolachal, southern India

Applied Geomatics, Год журнала: 2025, Номер unknown

Опубликована: Янв. 14, 2025

Язык: Английский

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Is urban heat island negatively correlated with green vegetation density and affects groundwater potential? A study in Depok, Sleman, Yogyakarta

IOP Conference Series Earth and Environmental Science, Год журнала: 2025, Номер 1490(1), С. 012049 - 012049

Опубликована: Апрель 1, 2025

Abstract Urban Heat Island (UHI) is a major problem in urbanization, which related to land use, green space density, population and thought affect groundwater potential. This study analyzed the urban heat vegetation research was conducted sub-district of Condongcatur, Caturtunggal Maguwoharjo Depok, Sleman, Yogyakarta using Remote Sensing (RS) with Landsat-8 Satellite Images also accompanied by field measurements. According results, Depok UHI zone temperature 30.85°C - 36.93°C. The (33.3° C) then (33.14° Condongcatur (32.69° C). Correlation-Regression density (NDVI) for coverage has correlation value 0.608 (r 2 = 37.05%) Sleman 0.53 28.08 %). Groundwater Potential 0.585 34.29%) 0.465 21.62%). It concluded that Kapanewon Yogyakarta, moderate negatively correlated but positively Potential. Land use increases potential strength.

Язык: Английский

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Multi-dimensional impact assessment for priority setting of agricultural technologies: An application of TOPSIS for the drylands of sub-Saharan Africa and South Asia

PLoS ONE, Год журнала: 2024, Номер 19(11), С. e0314007 - e0314007

Опубликована: Ноя. 21, 2024

The importance for multi-dimensional priority-setting of agricultural innovations is growing, given that technologies usually play multiple roles smallholder farmers. This study assesses based on their impacts in the drylands sub-Saharan Africa and South Asia. applies Technique Order Preference by Similarity to an Ideal Solution (TOPSIS) a set promising uses three outcome criteria: benefit-cost ratio, poverty reduction, nutrition security. are related important cereals grain legumes grown these regions: sorghum, pearl millet, finger millet; groundnut, cowpea, chickpea, lentil, pigeon pea, soybean. results show top individual criteria can differ from identified using combination criteria. For example, semi-arid southern Africa, technology which involves integrated pest management cowpea ranks among five reduce poverty. However, analysis involving TOPSIS shows security more region compared As such, 5 with highest impact do not involve technology; rather, they all nutritious legume currently consumed cowpea. One limitation this it did consider Asia; should be considered future studies or other MCDM techniques. Nevertheless, successfully used ex-ante assessment technologies, thus support prioritization investments targeting research development.

Язык: Английский

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Optimizing Machine Learning Models with Bayesian Techniques for Prediction of Groundwater Quality Index in Southwest Saudi Arabia

Earth Systems and Environment, Год журнала: 2024, Номер unknown

Опубликована: Окт. 3, 2024

Язык: Английский

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Groundwater potential and recharge zone mapping using GIS and remote sensing techniques: the Melka Kunture Watershed in Ethiopia

Discover Sustainability, Год журнала: 2024, Номер 5(1)

Опубликована: Окт. 15, 2024

Groundwater is the most dynamic natural resource that not uniformly distributed both in space and time. Identifying it for sustainable water development domestic use, irrigation, industrial purposes biggest challenge key concern due to climate change, overexploitation, a lack of proper management. Geographical information system (GIS) remote sensing (RS) play fundamental role identifying suitable groundwater potential recharge zones. In this study, zone map are delineated using GIS RS techniques integrated with Analytic Hierarchy Process (AHP) Melka Kunture Watershed Ethiopia. The thematic layers used were: Lithology, geomorphology, slope, lineament density, land use/cover, rainfall, drainage density soil. has been integrate overlay weighted analysis tool, whereas AHP method assign weights, normalize, rank their associated sub-themes based on suitability, characteristics, or influence output categorized into four zones: high cover 1105.60 km2 (25.70%), moderate 2308.00 (53.73%), low 880.0 (20.49%), very 47.80 (1.10%), there three 250.20 (5.80%), 3647.90 (84.00%), 443.50 (10.20%) study area. Hence, areas have more zones as compared total was validated existing source well points, indicated good prediction accuracy 88%. Thus, maps reliable, resultant potentiality mapping played vital management resources

Язык: Английский

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Pixel-Based Spatio-Statistical Analysis of Landslide Probability in Humid and Seismically Active Areas of Himalaya and Hindukush

Sustainability, Год журнала: 2024, Номер 16(9), С. 3556 - 3556

Опубликована: Апрель 24, 2024

The Hindukush and Himalaya regions of Pakistan are chronically prone to several geological hazards such as landslides. Studying landslides in these is crucial for risk assessment disaster management, well determining the effects adverse climatic conditions, infrastructure increasing anthropogenic activities. High-relief mountains face severe challenges because frequently occurring other natural hazards, especially during intensive rainfall seasons seismic activity, which destroy cause injuries deaths. Landslides Alpuri Valley (Hindukush) Neelum (Himalaya) have been activated through high magnitude earthquakes, rainfalls, snowfall, floods, man-made Landslide susceptibility mapping areas essential sustainable development it enables proactive up-to-date decision-making, effective responses landslide ultimately safeguarding human lives, property, environment. In this study, relative effect method was applied modeling both study determine capability reduce landslides, improve prediction accuracy method. a statistical model that has only used very limited time with results. A total 368 (Neelum Valley) 89 (Alpuri locations were identified, utilized prepare reliable inventory using GIS. order evaluate at future activities their spatial relationship occurrences, developed 17 causative factors. These factors include slope gradient, aspect, geology, plan curvature, general profile elevation, stream power index, drainage density, terrain roughness distance from roads, streams, fault lines, normalized difference wetness land-use/land-cover, rainfall, vegetation index. Finally, performance validated success curve rate. AUC-validated result rate 74.75%, 82.15% Valley, whereas, 87.87% 82.73% Valley. results indicate reliability produce map, apply areas. demonstrated more having smaller area. However, also desirable favorable being large It will assist hazard management mitigation, further research studies related assessments parts region.

Язык: Английский

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Mapping Groundwater Potential Zones for Sustainable Agricultural Development in Entre Ríos, Ecuador

International Journal of Design & Nature and Ecodynamics, Год журнала: 2024, Номер 19(3), С. 817 - 830

Опубликована: Июнь 25, 2024

In semi-arid areas, groundwater plays a fundamental role in the agricultural development of rural communities.The Entre Rí os commune, southwest Santa Elena, lacks surface water resources for local agriculture, which is why population seeks to delineate Groundwater Potential Zones (GWPZ) that allow reactivation.The focus this study generate map potential hydrogeological resource through geological and geoelectrical campaigns (Transient Electromagnetic Sounding Vertical Electrical Sounding), addition multicriteria decision method based on Analytical Hierarchy Process (AHP) its integration using Geographic Information Systems (GIS), establishment sustainability strategies.The GWPZ demarcation used six thematic layers: lithology, resistivity, texture, slope, drainage density precipitation.The identified "very high" area's northeastern (La Seca) central-south (Santo Tomá s) sectors.These areas have coastal aquifer thicknesses 10 5 meters, respectively, are mainly related medium coarse sand lithologies, with 20 80 Ωm resistivities.The strategic proposal aligns SDGs 2, 6, 8, 12.It includes sowing harvesting techniques, monitoring, wastewater management green filters benefit sector.

Язык: Английский

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Satellite gravimetry observations on the state of groundwater level variability in the Arabian Peninsula Region and the associated socio-economic sustainability challenges

Groundwater for Sustainable Development, Год журнала: 2024, Номер 26, С. 101270 - 101270

Опубликована: Июль 10, 2024

Язык: Английский

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