Application of a weights-of-evidence method and GIS to regional groundwater productivity potential mapping.

作者: Saro Lee , Yong-Sung Kim , Hyun-Joo Oh

DOI: 10.1016/J.JENVMAN.2011.09.016

关键词: BedrockGroundwaterSpatial databaseConditional independenceStatisticsVariablesGeographic information systemHydrologyHydrogeologyAquifer

摘要: The aim of this study is to analyze the relationship among groundwater productivity data including specific capacity (SPC) and transmissivity (T) as well its related hydrogeological factors in a bedrock aquifer, subsequently, produce regional potential (GPP) map for area around Pohang City, Korea using geographic information system (GIS) weights-of-evidence (WOE) model. All factors, topography, lineament, geology, forest, soil were collected input into spatial database. In addition, SPC T from 83 81 locations, respectively. Four dependent variables values ≥6.25 m3/d/m (Case 1) ≥3.79 m2/d 3) corresponding yield (Y) ≥500 m3/d, ≥3.75 2) ≥2.61 4) Y ≥300 m3/d also randomly selected an approximately 70:30 ratio train validate WOE Tests conditional independence performed used factors. To assess GPP each variable, W+ W- factor's rating overlaid spatially. results analysis validated under curve (AUC) with existing that not training AUC Cases 1, 2, 3 4 showed 0.7120, 0.6893, 0.6920, 0.7098, case variables, Case 1 had accuracy 71.20% (AUC: 0.7120), which best result produced analysis. Such maps generated it could be management, practice resource exploration.

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