Geostatistical analysis and hydrofacies simulation for estimating the spatial variability of hydraulic conductivity in the Jianghan Plain, central China; 地质统计和三维水相模拟江汉平原典型含水层渗透系数空间变异分布特征; Analyse géostatistique et simulation des hydrofaciès pour estimer la variabilité spatiale de la conductivité hydraulique dans la plaine de Jianghan, Chine centrale; Análise geoestatística e simulação de hidrofácies para estimar a variabilidade espacial da condutividade hidráulica na Planície de Jianghan, China central; Análisis geoestadístico y simulación de hidrofacies para estimar la variabilidad espacial de la conductividad hidráulica en la llanura de Jianghan, China central

초록

This study evaluated the spatial variability of hydraulic conductivity (K) along the Han River watershed in the Jianghan Plain (China) by using different geostatistical methods. The K distribution was estimated from 58 borehole measurements, and co-kriging estimates were obtained by incorporating 287 electrical resistivity (ρ) and 260 hydraulic gradient (I) values as auxiliary data. Additionally, 2,980 lithology samples were classified into three hydrofacies units in terms of decreasing K, which was simulated accordingly. The results indicate that the highest K values are in the western part of Shahu town and near the Yangtze River. The trend continues to diminish across western and northern Xiantao town and north-west of Xingou town, as well as across the transition zone from highland to lowland (from Shayang town to Zhanggang town). The low K values occur from the northern part of Jiukou town to Shayang town, and around Xingou town, and then are scattered around the high K values, with the lowest K values distributed in the north-west of the study area (from the catchment margin to the north of Shayang town), in Yanglinwei town, and east of Shahu town. As for the geostatistical methods, co-kriging estimates based on ρ and I highlight the variability of K, with the latter providing more realistic results. The three-dimensional hydrofacies model realistically represents the spatial distributions of K in the Quaternary aquifer system. The estimated results and hydrofacies simulation could provide a basic database for further groundwater modeling and water resource evaluation. © 2022, The Author(s), under exclusive licence to International Association of Hydrogeologists.

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