基于MAROS平台的地下水污染监测网优化设计

Based on the Monitoring and Remediation Optimization System (MAROS) platform, the groundwater pollution monitoring network has been optimization designed in a certain petroleum hydrocarbon contaminated site in the Northeast region of China. The single-well concentration trends in the region and spatial moment of plume was analyzed by mathematical statistical methods, Delaunay methods, revised CES approaches, and so on. Moreover, the redundancy sampling points and the sampling frequency of the retained sampling points have been determined. All of these results help us made the decision of the groundwater monitoring network optimization designed plan in the study area. During the study, the related factors which affected the design of groundwater monitoring network have been analysis. The results showed that there were five redundancy sampling wells existed in groundwater pollution monitoring network, and sampling frequency of wells located in different position would be changed 6 times/year to 4 times/year -1 times/year respectively. This work not only can improve the monitoring efficiency of the groundwater monitoring network, but also reduce the monitoring costs. It has importance meaning to guide the prevention and remediation of groundwater pollution.