期刊
WATER RESOURCES RESEARCH
卷 41, 期 12, 页码 -出版社
AMER GEOPHYSICAL UNION
DOI: 10.1029/2004WR003626
关键词
-
[1] A method is herein proposed and demonstrated for the space-time optimization of monitoring networks for groundwater quality. The objective is to provide a minimum cost design algorithm that will assist in determining where and when to sample existing wells dedicated to defining, through periodic sampling, the behavior of groundwater contaminants. The method has three characteristics: ( 1) The combined spatial and temporal redundancy of the sampling network is considered by using a Kalman filter coupled with a stochastic transport model in which velocity and dispersion are spatially correlated random fields. ( 2) The sampling network is optimized using an enumerative method that minimizes a function of the estimate variance. ( 3) A real-time update of the estimate is obtained using again the Kalman filter. The synthetic examples presented show that for a contaminant plume in motion this method can obtain cost-effective sampling networks.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据