中文摘要：

以山东省某受污染水源地为研究区域，采用Topsis（Technique for Order Preference by Similarity to Ideal Solution）优化方法与熵值权重法对地下水水源地现有监测井分布进行优化研究，并将算法整合到GIS中以实现结果的可视化。优化结果将研究区域的地下水监测点分为3个监测级别，这为该地区的地下水监测和污染源调查提供了参考。研究表明，优化算法与GIS的空间分析功能的结合可获得较好的可视化效果。

英文摘要：

Groundwater site selection is an important issue in groundwater exploitation and monitoring, which is of a great importance in detecting and deciding the most appropriate spots of water quality monitoring and management. It is just for this reason that this paper intends to introduce our method based on entropy weight, known as the Topsis method. In this research, we have developed a software so as to provide a sample on the pollution information and some fundamental mechanisms for further studies. Secondly, the Topsis method based on entropy weight is supposed to make the groundwater investigation samplings more typical and representative to optimize the groundwater monitoring site selection. Thirdly, it is recommended that the index weight based on the Topsis method be objective. And, finally, the suggested method should be developed and presented in a common language so that the sample data in the well field to GIS can be well understood to decide both the numbers and the locations of the groundwater monitoring sites logically and easy-understandingly. In so doing, the optimized sites can be expected to reflect the entire situation of the groundwater pollution as much as satisfactorily with a certain well-site. Thus, there is no doubt that our method will prove to be of great referential value to the optimization of monitoring the groundwater site. As the same time, it has also proved to be effective in contributing to the decision-making and highly efficient to the groundwater management.