水利学报2017，Vol.48Issue(7)：816-824,9.DOI:10.13243/j.cnki.slxb.20161173
地质统计学法在地下水污染溯源中的应用及参数敏感性分析
Application and sensitivity analysis of geostatistical approach to groundwater pollution source identification
摘要
Abstract
To identifying the groundwater pollution source,a geostatistical approach is applied on the groundwater pollution identification (PSI) in a 1D homogeneous aquifer.Numerical test is employed to analyze the impact of observation point configuration on the PSI and the sensitivity analysis of pollution concentration observation error and model parameters.It is found out that if concentration observation data could precisely describe the real concentration distribution at the observed time point,a nice identification of the pollution discharge process could be obtained.If the calculated pollution discharge process is similar with the real discharge process,the dimension of the observation error is between 10-6 and 10-35,the dispersion coefficient varies between-10 ％ and 5 ％,and the actual mean velocity varies between +2 ％.In the numerical case,the geostatistical approach shows a good performance for identifying the contaminant release process.Comparing to the observation error of concentration,the influence of dispersion coefficient and actual mean velocity are more outstanding in this case.关键词
地质统计学/地下水/污染/溯源/敏感性Key words
geostatistical/groundwater/pollution/identification/sensitivity分类
资源环境引用本文复制引用
龙玉桥,崔婷婷,李伟,吴春勇,李砚阁..地质统计学法在地下水污染溯源中的应用及参数敏感性分析[J].水利学报,2017,48(7):816-824,9.基金项目
国家自然科学基金项目(51409161,51509157) （51409161,51509157）
江苏省自然科学基金项目(BK20140080) （BK20140080）
水利部技术示范项目(SF-201706) （SF-201706）
