2020 Volume 76 Issue 2 Pages I_67-I_75
Many sampling or monitoring plans have been empirically designed. There are some studies on optimal placement that focus on the uncertainty, but few studies consider the impact of exceeding the limit state. The authors have been researching an optimal sampling planning method based on the idea of Value of Information. It is possible to consider the optimal sampling placement that takes into account not only the uncertainty but also the risk of exceeding the limit state. In this research, the soil contamination sampling problem is used as an example to demonstrate the sampling placement by the proposed method, and the two dimensional contaminated area is detected using Kriging, which is a spatial distribution estimation method. We compared the estimations based on the placement by the proposed method and human judgement, and showed that the result by the proposed mentod was better than those by human judgments.
