An improved FAHP based methodology for groundwater potential zones in Longchuan River basin, Yunnan Province, China

Luo, Dayou; Wen, Xingping; Zhang, Haonan; Xu, Junlong; Zhang, Rui

doi:10.1007/s12145-020-00469-2

Cited by 16 publications

(6 citation statements)

References 36 publications

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“…These fractures promote communication between aquifer layers and enhance the rate of rainwater infiltration [51]. The lineament structure can be a good indicator of the groundwater flow direction [41]. The higher the lineament density, the faster the GWPI recharges.…”

Section: Lineament Densitymentioning

confidence: 99%

“…The influencing factors and nature of the problem are well known for the study area; therefore, the AHP method was chosen instead of the Fuzzy AHP, which can be applied for the same purpose but with uncertainty and imprecision. For example, a study conducted by Luo and Wen [41] used an approved FAHP to delineate groundwater potential zones. To implement this method, at least two factors must be considered.…”

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confidence: 99%

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Geospatial Multi-Criteria Evaluation Using AHP–GIS to Delineate Groundwater Potential Zones in Zakho Basin, Kurdistan Region, Iraq

Sulaiman,

Mustafa

2023

Earth

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Groundwater availability in the Zakho Basin faces significant challenges due to political issues, border stream control, climate change, urbanization, land use changes, and poor administration, leading to declining groundwater quantity and quality. To address these issues, this study utilized the Analytic Hierarchy Process (AHP) and geospatial techniques to identify potential groundwater sites in Zakho. The study assigned weights normalized through the AHP eigenvector and created a final index using the weighted overlay method and specific criteria such as slope, flow accumulation, drainage density, lineament density, geology, well data, rainfall, and soil type. Validation through the receiver operating characteristic (ROC) curve (AUC = 0.849) and coefficient of determination (R2 = 0.81) demonstrated the model’s accuracy. The results showed that 17% of the area had the highest potential as a reliable groundwater source, 46% represented high-to-moderate potential zones, and 37% had low potential. Flat areas between rivers and high mountains displayed the greatest potential for groundwater development. Identifying these potential sites can aid farmers, regional planners, and local governments in making precise decisions about installing hand pumps and tube wells for a regular water supply. Additionally, the findings contribute to the development of a sustainable groundwater management plan, focusing on improving water usage and protecting water-related ecosystems in the region. Identification of the optimum influencing factors, arrangement of the factors in a hierarchy, and creation of a GWPI map will allow further planning for groundwater preservation and sustainability. This project can be conducted in other areas facing droughts.

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Section: Lineament Densitymentioning

confidence: 99%

mentioning

confidence: 99%

Geospatial Multi-Criteria Evaluation Using AHP–GIS to Delineate Groundwater Potential Zones in Zakho Basin, Kurdistan Region, Iraq

Sulaiman,

Mustafa

2023

Earth

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“…Groundwater is very important for the development of the local agricultural economy in many drought-prone, arid and semi-arid climatic regions. So, new international research of groundwater potentiality is being studied, and it is found that the crisis of groundwater is more severe in China, Iran, Saudi Arabia, Tunisia, Malaysia, Madagascar, Taiwan, and South Africa (Shao et al 2020;Luo et al 2020;Arabameri et al 2020;Rahmati et al 2016;Mallick et al 2019;Zabihi et al 2020;Manap et al 2011;Serele et al 2019;Yeh et al 2016;Owolabi et al 2020). Globally, groundwater is utilized in domestic uses, agricultural sector, and industrial production purposes at the Parentages of 36, 42, and 27, respectively (Taylor et al 2012).…”

Section: Introductionmentioning

confidence: 99%

GIS-based comparative assessment of groundwater potential zone using MIF and AHP techniques in Cooch Behar district, West Bengal

Senapati

Das

2022

Appl Water Sci

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Global warming, change in climate and rapid growth of population have put a huge strain on the world's groundwater resources. The use of excess groundwater has created a drop in the water table. Increased use of groundwater for agriculture in agro-based areas increases the demand for groundwater. The current study has been conducted in Cooch Behar, an agro-based remote district of North Bengal in the Indian state of West Bengal, where the use of high groundwater in agriculture has reduced groundwater levels. Comparative assessment of Multi-Influencing Factor (MIF) and Analytical Hierarchy Process (AHP) techniques has been used to create a perspective mapping of groundwater potential zone for the research region. Land use and land cover (LULC), rainfall, soil texture, geomorphology, lithology, drainage density, Normalized Differential Vegetation Index (NDVI), and Topographic Wetness Index (TWI) have been used to create the map. The MIF and AHP techniques have been used for Groundwater Potential Zones (GPZ) mapping. Output GPZ has been classified into 5 classes, i.e., very poor, poor, moderate, good, and excellent. MIF technique shows that the groundwater potential classes are covering 9% (285 km2), 21% (67 km2), 30% (944 km2), 27% (837 km2) and 13% (410 km2) of the study area, respectively, whereas the output GPZ from AHP technique shows that the groundwater potential classes are covering 8% (271 km2), 15% (508 km2), 24% (813 km2), 33% (1118 km2) and 20% (677 km2), respectively. Finally, the maps have been verified using groundwater fluctuation data through Receivers Operating Characteristic curve (ROC). The MIF technique's Area Under Curve (AUC) score is 76.5%, while the AHP technique reveals 88.9% accuracy. Both techniques for assessing and monitoring GPZ have been accurate and reasonable. Thus, this type of research is reliable for a more appropriate framework for swiftly analyzing groundwater recharge and directing the location of artificial recharge structures and other groundwater management operations of agricultural-based areas.

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“…Assessing land suitability for restoring aquifers and weight criteria are usually expressed in linguistic terms, while fuzzy logic is a more natural approach to this problem (Önüt et al, 2010). Hence, many researchers have attempted to use multiple fuzzy criteria decision-making methods like FAHP for groundwater restoration and management (Arianpour & Jamali, 2014; Eghbali Lord, 2018; Ilunga, 2012; Jebraeili & Zarei, 2018; Luo et al, 2020; Mahmoudi, 2016; Monjezi et al, 2013; Roozbahani et al, 2018; Shao et al, 2020; Thungngern et al, 2015; Zghibi et al, 2020). It is noteworthy that the classical AHP is preferable to the FAHP when the researcher is entirely sure about the validity of the obtained data and information; otherwise, the FAHP method is preferable.…”

Section: Introductionmentioning

confidence: 99%

Identification of Suitable Site-specific Recharge Areas using Fuzzy Analytic Hierarchy Process (FAHP) Technique: A Case Study of Iranshahr Basin (Iran)

Zaresefat

Ahrari

Shoaei

et al. 2022

Air, Soil and Water Research

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Iranshahr Basin is located in the Sistan and Baluchistan province, subject to severe drought and excessive groundwater utilization. Over-reliance on groundwater resources in this area has led to aquifer drawdowns and socio-economic problems. The present study aimed to identify appropriate sites for Artificial Recharge Groundwater (ARG) in a single platform by applying GIS fuzzy logic spatial modeling. Three stages were performed. In stage one, nine factors affecting ARG were collected based on the literature review. In stage two, geology, soil, and land-use layers were digitized from the existing maps. Some layers such as rainfall, unsaturated thickness, water quality, and transmissivity data were imported to ArcGIS environments, and their surface maps were made by Ordinary Kriging (OK) method. In stage three, the parameters were standardized with the fuzzy membership functions, and the GAMMA 0.5 fuzzy overlay model was applied for aggregation parameters. Results showed that 72.8%, 16.7%, 7.7%, 2.5% of the areas were classified as unsuitable, moderate, suitable, and perfectly suitable sites for planning a groundwater recharge site. Subsequently, the minimum area required regarding the possible errors based on the literature review determined six sites (A–E) as areas with higher priority. Then, the recommended unsuitable/suitable sites were validated and omitted by using some more detailed views. Finally, two sites (E and F) were omitted, and four sites (A, B, C, D) were recommended for future artificial recharge planning.

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An improved FAHP based methodology for groundwater potential zones in Longchuan River basin, Yunnan Province, China

Cited by 16 publications

References 36 publications

Geospatial Multi-Criteria Evaluation Using AHP–GIS to Delineate Groundwater Potential Zones in Zakho Basin, Kurdistan Region, Iraq

Geospatial Multi-Criteria Evaluation Using AHP–GIS to Delineate Groundwater Potential Zones in Zakho Basin, Kurdistan Region, Iraq

GIS-based comparative assessment of groundwater potential zone using MIF and AHP techniques in Cooch Behar district, West Bengal

Identification of Suitable Site-specific Recharge Areas using Fuzzy Analytic Hierarchy Process (FAHP) Technique: A Case Study of Iranshahr Basin (Iran)

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