Groundwater
imad ali; maryam bayati khatibi; sadra karimzadeh
Abstract
This study aimed to delineate groundwater recharge zones using a combination of analytical hierarchy process (AHP), fuzzy-AHP, and frequency ratio (FR) models. Additionally, it aimed to compare the effectiveness of these models in groundwater recharge potential zone mapping. To achieve these objectives, ...
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This study aimed to delineate groundwater recharge zones using a combination of analytical hierarchy process (AHP), fuzzy-AHP, and frequency ratio (FR) models. Additionally, it aimed to compare the effectiveness of these models in groundwater recharge potential zone mapping. To achieve these objectives, nine groundwater influencing factors were considered, including geology, soil types, lineament density, elevation, slope, topographic wetness index, drainage density, land use land cover, and rainfall. Thematic maps for all these factors were generated using satellite and conventional data in the ArcGIS environment. Weight was assigned to each thematic layer based on its significance to recharge. All thematic layers were combined using AHP model-l (WLC), AHP model-ll (Weighted sum), fuzzy-AHP overlay, and FR-based model using ArcGIS. The findings revealed that 15% and 39% of the study area have high recharge potentials according to AHP-based model-l and model-ll, respectively. The FAHP model demarcated 43% of the area as high recharge zones while the FR model demarcated 42% of the area as high recharge zones. The majority of high groundwater recharge areas were found in the central part of the study area, while the southern part was demarcated as a moderate recharge zone. The eastern and western parts were demarcated as low recharge potentials zones. To validate the accuracy of these models, the study used receiver operating characteristic (ROC) validation curves. The ROC curves revealed that AHP model-ll had the highest accuracy (AUC=89%) followed by the FAHP model (AUC=88%), AHP model-l (AUC=84%), and FR (AUC=81%)
leila Biabani; Arash Malekian; Behrooz Akbarpoor
Abstract
The management of groundwater resources is a major for identifying areas with high potentials for groundwater. In this study, we tried to identify areas with the potentials for groundwater in Sufi chay Watershed by using frequency ratio model. Conditioning Factors used in this study include: elevation, ...
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The management of groundwater resources is a major for identifying areas with high potentials for groundwater. In this study, we tried to identify areas with the potentials for groundwater in Sufi chay Watershed by using frequency ratio model. Conditioning Factors used in this study include: elevation, slope, drainage density, landuse, Lithology, Soil, Faults and Topography. In the frequency ratio, at first wells with a discharge rate of above 11 liter per second were extracted in the region; then, 70 percent Training wells (6981 pcs) and 30% of the wells for validation (2992 pcs) were randomly selected. Based on the frequency ratio, necessary analyses were conducted in classes and maps and maps were overlapped. Finally, the groundwater resources map for model were produced. ROC curve method was used to evaluate the performance of model. Based on this, the percentage of the area achieved in the Frequency model ratio are as follows 63% of the areas were low; 18% Average; 12% high, and 7% Very high.
