Mapping the groundwater potential zones in mountainous areas of Southern China using GIS, AHP, and fuzzy AHP DOI Creative Commons
Meng Chen, Shuangxi Zhang, Shengbo Liu

et al.

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

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

Ragab A. El Sherbini,

Hosni Ghazala, Mohammed A. Ahmed

et al.

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(5), P. 766 - 766

Published: Feb. 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.

Language: Английский

Citations

1
Mapping the groundwater potential zones in mountainous areas of Southern China using GIS, AHP, and fuzzy AHP DOI Creative Commons
Meng Chen, Shuangxi Zhang, Shengbo Liu

et al.

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

Citations

0