Unleashing the Untapped Potential: Groundwater Exploration in a Watershed Environment of North‐East India Using MCDA‐AHP Techniques

Hydrological Processes, Journal Year: 2025, Volume and Issue: 39(1)

Published: Jan. 1, 2025

ABSTRACT The contemporary era is marked by the faster exploitation of groundwater resources due to combined effects burgeoning population and rapid industrialisation. This study tries delineate potential zones (GWPZs) in a fragile agriculturally dominant watershed North‐East India using GIS‐based multi‐criteria decision analysis (MCDA) approach Analytical Hierarchy Process (AHP) technique. has undertaken 10 influencing factors: geomorphology, geology, land use/land cover (LU/LC), drainage density, rainfall, soil texture, slope, lineament topographic wetness index (TWI) normalised difference water (NDWI). Suitable weights for parameters are assigned according their relative importance association with storage based on pairwise comparison matrix (PCM). Four GWPZs respective coverages namely poor (3.39%), moderate (24.98%), good (33.36%) excellent (38.27%) categories found. central southern parts area covering portion Udalguri, Sonitpur Darrang districts Assam have porous geological settings floodplains, indicating high potentiality. In contrast, northern part hard rugged terrain lacks storage. Incorporating socio‐economic aspect, particularly number villages or without access suitable groundwater, significantly enhances study's utility. outcome cross‐verified well data obtained from Central Groundwater Board (CGWB) field which validated receiver operating characteristics (ROC) curve resulting an accuracy 72.9%. Hence, this inquiry implications both regional global significance will assist stakeholders authorities creating roadmap sustainable effective use.

Language: Английский

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Integrated GIS-based assessment of groundwater vulnerability in the hennaya plain: a comparative study of DRASTIC, SIVI, and SSVI models

Euro-Mediterranean Journal for Environmental Integration, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 11, 2025

Language: Английский

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Determining prospective zones for groundwater recharge using remote sensing, GIS, and AHP modelling techniques: an investigation of the Mandi district in Himachal Pradesh, India

Environmental Earth Sciences, Journal Year: 2025, Volume and Issue: 84(5)

Published: Feb. 18, 2025

Language: Английский

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Modelling of Groundwater Potential Zones in Semi-Arid Areas Using Unmanned Aerial Vehicles, Geographic Information Systems, and Multi-Criteria Decision Making

Hydrology, Journal Year: 2025, Volume and Issue: 12(3), P. 58 - 58

Published: March 14, 2025

Nowadays, modelling groundwater potential zones (GWPZs) based on scientific principles and modern techniques is a major challenge for scientists around the world. This even greater in arid semi-arid areas. Unmanned aerial vehicles (UAVs), geographic information systems (GISs), multi-criteria decision making (MCDM) are that have been applied various fields, especially exploration. study attempts to apply workflow GWPZs using UAV technology, GIS, MCDM An survey provided high-resolution DEM of 4 cm. Six influencing factors, including elevation model, drainage density, lineament slope, flood zone, topographic wetness index, were considered delineate GWPZs. Four classes identified, namely high (4.64%), moderate (23.74%), low (18.2%), very (53.42%). Three validation methods, borehole yield data, receiver operating characteristic area under curve (ROC-AUC), principal component analysis (PCA), used gave accuracies 82.14%, 65.4%, 72.49%, respectively. These validations indicate satisfactory accuracy justify effectiveness approach. The mapping areas important availability planning water resources management sustainable development.

Language: Английский

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Identification of potential groundwater zones using the analytical hierarchical process technique: Case study of the region of Constantine – Northeastern Algeria

Geomatics Landmanagement and Landscape, Journal Year: 2025, Volume and Issue: 1

Published: April 14, 2025

This study presents an integrated approach for identifying groundwater potential zones in the Constantine region, northeastern Algeria, by combining Analytical Hierarchical Process (AHP) with Geographic Information Systems (GIS). The methodology incorporates a multi-criteria analysis based on seven critical parameters: geomorphology, slope, drainage density, fault land use, lithology, and soil types. Each parameter was weighted using AHP technique to quantify its relative influence accumulation. Subsequently, areas were classified into of varying potential, ranging from ‘very poor’ ‘excellent’. Field verification conducted validate model’s results, demonstrating effectiveness. Specifically, 80% 22 drilled wells ‘good’ found exhibit reliable performance sustainability. In contrast, located as ‘poor’ non-performing. These findings highlight practical reliability AHP-GIS delineating groundwater-rich application strategic water resource management. Moreover, results reinforce utility this addressing scarcity challenges prevalent arid semi-arid regions. By accurately mapping concentration zones, method offers valuable tool planners. also emphasizes broader implications, including drought risk mitigation, particularly regions where sustainable management is economic environmental resilience.

Language: Английский

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A Remote Sensing and GIS-Based Analysis of Forest Cover Changes and Carbon Sequestration Trends Over Three Decades

Environmental Development, Journal Year: 2025, Volume and Issue: 55, P. 101232 - 101232

Published: May 2, 2025

Language: Английский

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Mapping the groundwater potential zones in mountainous areas of Southern China using GIS, AHP, and fuzzy AHP

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: May 17, 2025

Rapid identification of groundwater sources is crucial for emergency water supplies. Yudu County (YDC) in Southern China serves as a case study due to its typical mountainous terrain and pressing demands. To address the limitations conventional mapping methods large-scale areas with sparse data, this integrates remote sensing (RS), geographic information systems (GIS), multi-criteria decision analysis (MCDA) techniques delineate potential zones (GWPZs) YDC. Following series correlation tests, seven assessment indicators were selected from various influencing factors, including two innovative ones: terrestrial storage change (TWSC) spring flow. The analytic hierarchy process (AHP) fuzzy AHP (FAHP) models employed calculate factor weights, GWPZ maps generated using weighted overlay GIS. model performance was validated borewell receiver operating characteristic (ROC) curves, yield prediction models. Additionally, four enrichment types their spatial distribution identified by field investigations assessments. Results indicated remarkable similarity between GWPZs delineated FAHP, categorized into five classes: very high (13.92% 14.33% FAHP), (26.29 27.55%), medium (29.33 28.14%), low (20.66 21.50%), (9.80 8.48%). area under curve (AUC) FAHP 85.09%, slightly higher than 84.41% AHP, while coefficient (R2 improved 0.747 0.817 FAHP. These findings confirmed reliability combining GIS MCDA GWPZs, demonstrating an advantage over AHP. proposed methodology resulting significantly enhance sustainable resource management development YDC, offering practical framework rapid disaster response, well long-term security planning similar environments.

Language: Английский

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Integration of geospatial-based algorithms for groundwater potential characterization in Keiskamma Catchment of South Africa

Groundwater for Sustainable Development, Journal Year: 2024, Volume and Issue: 26, P. 101262 - 101262

Published: June 29, 2024

Groundwater supports over 2.4 billion people across the globe and is critical to food security. The spatial dynamics of groundwater vary from place place. irregularity resource exploitation recognized in drought-prone areas, putting pressure on resource. Hence, accurate potential characterization for sustainable development management groundwater, particularly environments. Therefore, this study aimed at utilizing remote sensing satellite data geospatial-based (analytical hierarchy process (AHP) frequency ratio (FR)) algorithms characterize zones (GWPZs) Keiskamma Catchment South Africa. Seven (7) selected factors, including geology, soil type, slope, rainfall, drainage density, lineament land use cover, were assigned weights based AHP FR algorithms. validation results showed that model performed better than AHP, with area under curve (AUC) accuracies 62% 50%, respectively. Based findings study, we infer more reliable when characterizing GWPZ. Lastly, GWPZ maps produced will be beneficial improving efficient planning, strategies, decision-making.

Language: Английский

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GIS-Based Analytical Hierarchy Process for Identifying Groundwater Potential Zones in Punjab, Pakistan

ISPRS International Journal of Geo-Information, Journal Year: 2024, Volume and Issue: 13(9), P. 317 - 317

Published: Sept. 3, 2024

The quality and level of groundwater tables have rapidly declined because intensive pumping in Punjab (Pakistan). For sustainable supplies, there is a need for better management practices. So, the identification potential recharge zones crucial developing effective systems. current research based on integrating seven contributing factors, including geology, soil map, land cover/land use, lineament density, drainage slope, rainfall to categorize area into various using remote sensing, geographic information system (GIS), analytical hierarchical process (AHP) Punjab, Pakistan. weights (for thematic layers) rating values sub-classes) overlay analysis were assigned layers then modified normalized AHP. result indicates that about 17.88% falls under category very high (GWPZs). It was found only 12.27% low GWPZs. results showed spatial technologies like sensing when combined with AHP technique, provide robust platform studying This will help public government sectors understand zone management.

Language: Английский

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Health risk assessment of heavy metals in groundwater sources: carcinogenic and non-carcinogenic evaluation

Journal of Water and Health, Journal Year: 2024, Volume and Issue: 22(10), P. 1972 - 1987

Published: Sept. 21, 2024

ABSTRACT Persistent exposure to arsenic, chromium, cadmium, lead, and selenium in drinking water above permissible levels poses significant health risks, including increased incidences of skin, lung, bladder, kidney cancers. This study evaluated 34 samples from Rupnagar district, Punjab, for heavy metal content. Health risks were assessed using hazard quotient (HQ) chronic daily intake metrics. Aluminium concentrations highest Block Nurpur Bedi (36.43 mg/L). Arsenic Ropar Anandpur Sahib 0.09 0.068 mg/L, respectively. Cadmium was (0.041 Morinda had the concentration (0.0038 Lead detected across all blocks, peaking Chamkaur (2.176 The HQ exceeded unity nearly areas, indicating aluminium, lead. index (2.66) adults. Incremental Life Cancer Risk (ILCR) values indicated a high cancer risk lead blocks. One-way analysis variance revealed differences among Fe, As, Al (p < 0.05). findings underscore need targeted treatment technologies policies mitigate contamination its impacts Punjab.

Language: Английский

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