Geoscience Information Center, Korea Institute of Geoscience & Mineral Resources, 92 Gwahang-no, Yuseong-gu, Daejeon 305-350, Republic of Korea.
J Environ Manage. 2012 Apr 15;96(1):91-105. doi: 10.1016/j.jenvman.2011.09.016. Epub 2011 Dec 4.
The aim of this study is to analyze the relationship among groundwater productivity data including specific capacity (SPC) and transmissivity (T) as well as its related hydrogeological factors in a bedrock aquifer, and subsequently, to produce the regional groundwater productivity potential (GPP) map for the area around Pohang City, Korea using a geographic information system (GIS) and a weights-of-evidence (WOE) model. All of the related factors, including topography, lineament, geology, forest, and soil data were collected and input into a spatial database. In addition, SPC and T data were collected from 83 and 81 well locations, respectively. Four dependent variables including SPC values of ≥6.25 m3/d/m (Case 1) and T values of ≥3.79 m2/d (Case 3) corresponding to a yield (Y) of ≥500 m3/d, and SPC values of ≥3.75 m3/d/m (Case 2) and T values of ≥2.61 m2/d (Case 4) corresponding to a Y of ≥300 m3/d were also input into a spatial database. The SPC and T data were randomly selected in an approximately 70:30 ratio to train and validate the WOE model. Tests of conditional independence were performed for the used factors. To assess the regional GPP for each dependent variable, W+ and W- of each factor's rating were overlaid spatially. The results of the analysis were validated using area under curve (AUC) analysis with the existing SPC and T data that were not used for the training of the model. The AUC of Cases 1, 2, 3 and 4 showed 0.7120, 0.6893, 0.6920, and 0.7098, respectively. In the case of the dependent variables, Case 1 had an accuracy of 71.20% (AUC: 0.7120), which is the best result produced in this analysis. Such information and the maps generated from it could be used for groundwater management, a practice related to groundwater resource exploration.
本研究旨在分析基岩含水层中地下水产能数据（包括比流量 (SPC) 和导水系数 (T)）与其相关水文地质因素之间的关系，并利用地理信息系统 (GIS) 和证据权重 (WOE) 模型为韩国浦项市周边地区生成区域地下水产能潜力 (GPP) 图。收集并输入了所有相关因素，包括地形、线性构造、地质、森林和土壤数据。此外，还从 83 个和 81 个井位分别收集了 SPC 和 T 数据。四个因变量，包括 SPC 值≥6.25 m3/d/m（案例 1）和 T 值≥3.79 m2/d（案例 3）对应产量（Y）≥500 m3/d，以及 SPC 值≥3.75 m3/d/m（案例 2）和 T 值≥2.61 m2/d（案例 4）对应产量（Y）≥300 m3/d，也被输入到空间数据库中。WOE 模型的训练和验证采用了大约 70:30 的 SPC 和 T 数据随机选择。对所用因素进行了条件独立性检验。为了评估每个因变量的区域 GPP，对每个因素的 W+和 W-进行了空间叠加。利用未用于模型训练的现有 SPC 和 T 数据进行 AUC 分析验证了分析结果。案例 1、2、3 和 4 的 AUC 分别为 0.7120、0.6893、0.6920 和 0.7098。对于因变量，案例 1 的准确率为 71.20%（AUC：0.7120），这是本次分析中取得的最佳结果。此类信息及其生成的地图可用于地下水管理，这是与地下水资源勘探相关的实践。
