Delineation of groundwater potential zones in semi-arid region of Jilledubanderu river basin, Anantapur District, Andhra Pradesh, India using fuzzy logic, AHP and integrated fuzzy-AHP approaches

Using Analytical Hierarchy Process and Multi-Influencing Factors to Map Groundwater Recharge Zones in a Semi-Arid Mediterranean Coastal Aquifer

“…Table 8 reports the final weights of the factors governing GWRZs, which are described below. Lithology (LI): LI governs the porosity and permeability of aquifer rocks [18], which in turn influences the occurrence and distribution of groundwater recharge through physio-mechanical properties that control the ability of the aquifer materials to transmit water and the rate at which groundwater flows [27]. The lithology of the study area consists of quaternary alluvium (12% of the surface area; 52.56 km 2 ), sandy clay (22%; 96.36 km 2 ), yellow sand with clay (6%; 26.28 km 2 ), tyrrhenian sandstones (3%; 13.14 km 2 ), sandy sandstone (3%; 13.14 km 2 ) and silty sand (54%; 236.52 km 2 ) with ratings varying from 1 to 6 ( Table 8 and Figure 7a).…”

“…Slope (SLO): SLO is a characteristic of local and regional relief, which is an important factor because it influences the water retention, intensity of infiltration [49,52], aquifer recharge and groundwater movement. The higher the ground slope, the smaller the infiltration rate will be due to larger runoff potential [12,27,58]. The study area has five slope classes (Figure 7c), namely very low (0-5%), low (5-10%), moderate (10-15%), high (15-20%) and very high (>20%).…”

“…Lineament (LD): LD density networks such as fractures, joints and faults increase porosity and therefore play an important role in groundwater movement and high groundwater recharge potential [26,27,33]. The LD density, extracted from satellite images and remote sensing, is an indicator of the degree of fracturing of the rock, meaning that groundwater recharge potential is high near lineaments.…”

“…Geographic information system (GIS) and Remote Sensing (RS) techniques facilitate estimating surface and subsurface water over large areas [15,18,[20][21][22][23]. A variety of methods have been implemented for groundwater recharge zone mapping worldwide [24][25][26][27] such as frequency ratio (FR), certainty factor (CF), weights-of-evidence (WOE), fuzzy logic index models, analytical hierarchy process (AHP) and multi-influencing factors (MIF). In particular, the AHP and MIF techniques have gained attention as useful approaches for groundwater prediction for rapid, precise and cost-effective assessment of groundwater recharge potential [28][29][30][31][32][33] by significantly reducing the mathematical complexity of decision-making based on systematic expert judgment.…”

Decision Support System for Determining Critical Land in Klaten Regency

“…Utilizing AHP method was previously used to rank options according to the relevance of the criteria weights for delineation of groundwater potential zones [3]. AHP method is a decision making method to calculate priority criteria that meet the requirements of several alternatives based on the judgment of the decision maker [4,5].…”