Comparative Assessment of Analytical Hierarchy Process (AHP) and Fuzzy Overlay Analysis (FOA) Models in Groundwater Potential Zone Mapping Using Sensitive Analysis: A GIS-RS Integrated Approach DOI Creative Commons
Fenil R. Gandhi,

Jaysukh Songara,

Indra Prakash

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: May 22, 2024

Abstract This study addresses the pressing need for assessing groundwater potential in diverse regions worldwide, emphasizing challenges posed by industrialization and urban expansion. Leveraging remote sensing (RS) data within an ArcGIS framework, a comparison was conducted on effectiveness of Analytical Hierarchy Process (AHP) Fuzzy Overlay Analysis (FOA) models delineating zones. Ten influencing factors underwent rigorous multicollinearity checks to ensure independent analysis. Both methodologies categorized output into five classification zones, revealing variations between methods. The sensitivity analysis identified specific influential layers each method, showcasing heightened Notably, AHP emphasized such as NDWI, Lineament density, Land Use Cover (LULC), while FOA prioritized Soil Texture, Density, NDWI. Evaluating reliability assessments, demonstrated fair agreement (59.18%), exhibited substantial (77.5%). emerged superior, offering more nuanced precise representation spatial relationships uncertainties. promising performance our suggests its applicability accurate assessment beyond area (India) other countries with heterogeneous hydrogeological conditions.

Language: Английский

Evaluation of groundwater potential using ANN-based mountain gazelle optimization: A framework to achieve SDGs in East El Oweinat, Egypt DOI Creative Commons
Mahmoud E. Abd-Elmaboud, Ahmed M. Saqr, Mustafa El-Rawy

et al.

Journal of Hydrology Regional Studies, Journal Year: 2024, Volume and Issue: 52, P. 101703 - 101703

Published: Feb. 12, 2024

A pilot case study in East El Oweinat (PCSEO), Egypt. An artificial neural network (ANN)-based mountain gazelle optimization (MGO) model was applied to map groundwater potential zones (GWPZs). For this purpose, ten layers affecting occurrence were prepared and normalized against the drawdown (DD) map. All data divided into 70:30 for training testing. After that, sensitivity analysis adopted verify relative importance (RI) of layers. The accuracy GWPZs checked using receiver operating characteristic (ROC) curve other statistical indicators. finally propose a sustainable strategy exploration by implementing integrated MODFLOW-USG MGO framework. Over 40% PCSEO revealed high very degrees situated mostly on southwestern side. Sensitivity that significantly affected table (GWT), well density (WD), land use (LU). results also indicated ANN-based performed with an area under (AUC) ∼ 90% compared conventional models. Additionally, MODFLOW-USG-based gave spatial distribution optimal discharge well-depth zones. This finding could match SDGs relevant ending poverty, affordable groundwater, life land.

Language: Английский

Citations

27
Assessment of Groundwater Potential Zones by Integrating Hydrogeological Data, Geographic Information Systems, Remote Sensing, and Analytical Hierarchical Process Techniques in the Jinan Karst Spring Basin of China DOI Open Access
Portia Annabelle Opoku, Longcang Shu, George Kwame Amoako-Nimako

et al.

Water, Journal Year: 2024, Volume and Issue: 16(4), P. 566 - 566

Published: Feb. 14, 2024

Groundwater management in the Jinan Spring basin is hampered by its complex topography, overexploitation, and excessive urbanisation. This has led to springs drying up during dry seasons a decrease discharge recent years. GIS AHP were employed delineate groundwater potential zones using eight thematic layers: slope, geology, lineament density, topographic wetness index (TWI), rainfall, soil, drainage land use/land cover (LULC). The model’s accuracy was assessed comparing findings observation well data. We found that 74% of observations matched projected zoning. Further validation utilising receiver operating characteristic (ROC) curve gave an AUC 0.736. According study, 67.31% good GWPZ, 5.60% very one, 27.07% medium, 0.03% low. Heavy rains throughout rainy season raise water levels. Dry weather lowers study’s conclusions will protect from climate change. Integrating hydrogeological data, GIS, remote sensing, approaches maximises data use, improves zone delineation, promotes sustainable resource decision making. integrated method can help use planners, hydrologists, policymakers find optimal locations for supply projects, establish techniques, reduce risks.

Language: Английский

Citations

15
Groundwater quality assessment and health issues in coastal zone of Bangladesh DOI Creative Commons
Md. Shohel Khan, Shitangsu Kumar Paul

Journal of Hazardous Materials Advances, Journal Year: 2023, Volume and Issue: 10, P. 100278 - 100278

Published: March 12, 2023

The purpose of this study was to assess the water quality index (WQI), heavy metal evaluation (HEI), pollution (HPI) and hazard (HI), associated environmental/human health issues south-western coastal Bangladesh (SWCB). Rajoir, Gangarampur Ganapatipur villages were purposively selected from shoreline (X), interim (Y) inland (Z) coast SWCB. 40 ground samples collected 20 sampling sites; 18 variables, such as, temperature, pH, electrical conductivity (EC), dissolved solids (TDS), suspended solids, dissolve oxygen, total hardness, Cl, K, Ca, Cr, Mn, Fe, Ni, Cu, Zn, Cd Pb ions tested perform study. In addition, four focus group discussions also conducted understand current scenarios. strong positive correlation between EC:Cu (r = 0.856), TDS:Mn 0.664), TDS:Cu 0.880), K:Mn (0.736) Mn:Cu 0.601) suggested homogeneous sources origin or/and anthropogenic activities or pollutant movement these variables. changing patterns mean WQI, HEI, HPI, HIinfant, HIchild HIadult area X(79.19)Y(4.93)>Z(3.79); X(78.66)

Language: Английский

Citations

18
Leveraging geospatial technology and AHP for groundwater potential zonation in parts of South and North-Central Nigeria DOI
Kesyton Oyamenda Ozegin, Ilugbo Stephen Olubusola, Akande Noah Oluwatobi

et al.

Sustainable Water Resources Management, Journal Year: 2024, Volume and Issue: 10(4)

Published: July 4, 2024

Language: Английский

Citations

7
Evaluation of Groundwater Recharge Potential Using Geospatial Analysis in the Ziway Lake Watershed, Ethiopian Rift: A GIS and AHP-Based Methodological Framework DOI Creative Commons
Tariku Takele, Abraham Mechal, Berihu Abadi Berhe

et al.

Environmental and Sustainability Indicators, Journal Year: 2025, Volume and Issue: unknown, P. 100692 - 100692

Published: April 1, 2025

Language: Английский

Citations

1
Integrated remote sensing and geographic information system overlay analysis for groundwater potential evaluation using AHP and fuzzy AHP: Southern sections of the western Afar rift margin and associated rift floor DOI
Dereje Gidafie,

Dessie Nedaw,

Tilahun Azagegn

et al.

Groundwater for Sustainable Development, Journal Year: 2024, Volume and Issue: 26, P. 101310 - 101310

Published: Aug. 1, 2024

Language: Английский

Citations

6
Integration of multi-geostatistical approaches for deciphering groundwater potential zones in complex water-bearing mediums DOI
Dara Faeq Hamamin

Groundwater for Sustainable Development, Journal Year: 2024, Volume and Issue: 26, P. 101208 - 101208

Published: May 16, 2024

Language: Английский

Citations

4
Groundwater potential mapping in arid and semi-arid regions of Kurdistan region of Iraq: A geoinformatics-based machine learning approach DOI
Kaiwan K. Fatah, Yaseen T. Mustafa,

Imaddadin O. Hassan

et al.

Groundwater for Sustainable Development, Journal Year: 2024, Volume and Issue: unknown, P. 101337 - 101337

Published: Sept. 1, 2024

Language: Английский

Citations

4
An integrated application of remote sensing, geographic information system, and analytical hierarchy process for identification of potential groundwater recharge zones across Potohar Plateau, Pakistan DOI Creative Commons

Saad Zaheer,

Muhammad Atiq Ur Rehman Tariq, Muhammad Shahid

et al.

Water Science & Technology Water Supply, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 13, 2025

ABSTRACT Groundwater depletion is a common issue in the Potohar Plateau region of Pakistan. The identification potential recharge zones this can help to overcome issue. This research aims develop map most suitable groundwater (GWR) by integrating remote sensing and geographic information systems categorize demarcate GWR locations Plateau. analytic hierarchy process (AHP) used combine drainage density, curve number (CN), land use cover, evapotranspiration, slope, geology, rainfall. method utilized constitutes demarcation assigning weights parameters, development suitability map. Four have been identified for study area. investigation showed that excellent good sites accounted around 41.9% overall Sensitivity analysis reveals rainfall, CN, slope are influencing parameters. results demonstrated moderate unsuitable covered about 58.1% total offers essential water resource engineers, planners, decisionmakers manage resources.

Language: Английский

Citations

0
Delineating groundwater recharge zones: semi-arid NW Algeria case study DOI
Oum eldjilali Soumia Mehella,

Bekkoussa Samir Belkacem,

Mubashir Habib

et al.

Journal of Applied Water Engineering and Research, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 17

Published: May 13, 2025

Language: Английский

Citations

0