Sensitivity analysis of geostatistical approach to recover pollution source release history in groundwater

2nd International Conference on Materials Science, Energy Technology and Environmental Engineering

材料科学;能源学;生态环境科学

Long, Y.Q.^1 ; Cui, T.T.^1 ; Li, W.^1 ; Yang, Z.P.^2 ; Gai, Y.W.^3

Nanjing Hydraulic Research Institute, Nanjing, China^1

College of Civil Engineering, Chongqing University, Chongqing, China^2

Water Resources Service Center of Jiangsu Province, Nanjing, China^3

关键词: Discharge process;    Dispersion coefficient;    Geostatistical approach;    Hydraulic parameters;    Numerical experiments;    Observation errors;    Pollution discharges;    Sensitive parameter;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/81/1/012105/pdf
DOI  :  10.1088/1755-1315/81/1/012105

来源: IOP

【 摘 要 】

The geostatistical approach has been studied for many year to identify the pollution source re-lease history in groundwater. We focus on the influence of observation error and hydraulic parameters on the groundwater pollution identification (PSI) result in the paper. Numerical experiment and sensitivity analysis are carried out to find the influence of observation point configuration, error and hydraulic parameters on the PSI result in a 1D homogeneous aquifer. It has been found out that if concentration observation data could accurately describe the characteristics of the real concentration plume at the observed time point, a nice identification of the pollution release process could be obtained. If the calculated pollution discharge process has good similarity with the real discharge process, the order of the observation error fell within 10-6 and 10-3.5, the dispersion coefficient varies fells within -10% and 5%, and the actual mean velocity fell within ±2%. The actual mean velocity is the most sensitive parameter of the geostatistical approach in this case.