Groundwater flow rate prediction from geo-electrical features using Support Vector Machines: Bagoue dataset, Cote d'Ivoire

We implemented a support vector machines to predict groundwater flow before drilling using electrical resistivity profiling, vertical electrical sounding. We used the data from Cote d’Ivoire, west part of Africa and we tested the composite estimator in region of Bagoue, north part of CIV. Data are composed on electrical resistivity profile, vertical electrical sounding and borehole data. The coordinates of different boreholes are also mentioned.本研究搭建了支持向量机（Support Vector Machine）模型，以电阻率剖面法（Electrical Resistivity Profiling）与垂向电测深法（Vertical Electrical Sounding）为技术手段，实现钻井前地下水流的预测。研究采集了非洲西部科特迪瓦（Cote d’Ivoire，简称CIV）的实测数据，并在该国北部巴盖（Bagoue）地区对复合估计量开展了测试验证。本数据集由电阻率剖面数据、垂向电测深数据及钻孔数据构成，同时包含所有钻孔的坐标信息。