南京大学学报（自然科学版）2016，Vol.52Issue(3)：448-455,8.DOI:10.13232/j.cnki.jnju.2016.03.005
基于DREAM算法的含水层渗透系数空间变异特征识别
Identification of the spatial variability of aquifer hydraulic conductivity
摘要
Abstract
In this study,it adopted the Differential Evolution Adaptive Metropolis(DREAM)algorithm to identify the spatial structure parameters of the spatial variability of aquifer hydraulic conductivity.The direct Fourier transform method is used to generate a certain number of hydraulic conductivity field realizations under a special set of the spatial structure parameters.Furthermore,the idea of Noisy Genetic Algorithm(NGA)is introduced to calculate the Bayesian posterior probability values,and improve the computational efficiency of the DREAM algorithm. Optimization results of the field application shows that the DREAM algorithm can effectively find the posterior dis-tribution of the spatial structure parameters of the aquifer hydraulic conductivity,and a set of hydraulic conductivity field realizations can be obtained.Therefore,it may provide a novel research idea for identification of the spatial variability of aquifer hydraulic conductivity.关键词
渗透系数/空间变异特征/噪声遗传算法/DREAMKey words
hydraulic conductivity/spatial variability/noisy genetic algorithm/DREAM分类
天文与地球科学引用本文复制引用
骆乾坤,吴剑锋,杨运,吴吉春,马淑芬..基于DREAM算法的含水层渗透系数空间变异特征识别[J].南京大学学报（自然科学版）,2016,52(3):448-455,8.基金项目
国家自然科学基金(41372235,41502226),中央高校基本科研业务费专项资金(J2014HGBZ0186) （41372235,41502226）
