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Determination of hydraulic conductivity and its spatial variability in the Jianghan Plain using a multi-format, multi-method approach

机译:使用多种格式,多种方法方法测定江汉平原液压导电性及其空间变异性

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In recent times, the groundwater in Jianghan Plain, Central China has come under severe stress from agricultural and industrial demand. The spatial variability of hydraulic conductivity (K) in the region is important for better and sustainable groundwater exploration and management. In this study, we determined the spatial distribution of K using a multi-method approach, i.e. analytic and numerical simulation as well as intelligent optimization methods (particle swarm optimization (PSO) and differential evolution (DE)) and geostatistics. Data from 55 multi-format pumping tests situated across the middle-confined aquifer (consisting of late Pleistocene (Qp(3)s) and middle Pleistocene (Qp(2)j)) were used. Results showed that for transient pumping test with constant rate by multiwells, PSO and DE were faster and more precise, especially DE. For transient pumping test with variable rate as well as transient pumping test with constant rate by single well, the numerical method fitted the drawdown better, while the PSO and DE had large deviations at the early stage of pumping. Overall, the values of K vary from 0.032 to 10.64 m/d within Qp(3)s and 0.33 to 36.24 m/d within Qp(2)j. The spatial variability model demonstrated that the K values in Qp(3)s are greater than those in Qp(2)j. The heterogeneity elucidates the sedimentary development of the basin. These methods and results can provide new insights for estimating the spatial distribution of K for regional groundwater resources assessment in similar sedimentary environments around the world.
机译:近年来,中国中部江汉平原的地下水受到农业和工业需求的严重压力。该地区导水率(K)的空间变异性对于更好、可持续的地下水勘探和管理非常重要。在本研究中,我们使用多种方法确定了K的空间分布,即分析和数值模拟,以及智能优化方法(粒子群优化(PSO)和差分进化(DE))和地质统计学。使用了55个跨中承压含水层(包括晚更新世(Qp(3)s)和中更新世(Qp(2)j))的多格式抽水试验的数据。结果表明,对于多井定流量瞬变抽水试验,PSO和DE的计算速度更快、精度更高,尤其是DE。对于变流量瞬变抽水试验和单井定流量瞬变抽水试验,数值方法更能拟合压降,而PSO和DE在抽水初期偏差较大。总体而言,Qp(3)s内的K值在0.032至10.64 m/d之间变化,Qp(2)j内的K值在0.33至36.24 m/d之间变化。空间变异性模型表明,Qp(3)s中的K值大于Qp(2)j中的K值。非均质性阐明了盆地的沉积发育。这些方法和结果可以为世界各地类似沉积环境中区域地下水资源评价提供新的见解。

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