Groundwater monitoring requires a great deal of cost and time that optimizing the quantitative groundwater monitoring network with selecting the optimal number of sampling wells and determining their optimal location for reducing the cost and time of quantitative groundwater assessment are necessary. The data from 110 observation wells of Neyshabur plain in Iran range from the year 1986 to 2016 were studied. The combined Election-Kriging method was used to analyze these data, and the Pareto chart was plotted to determine the optimal number and location in two scenarios. The first scenario was to determine the optimal wells location among the existing wells and the second scenario was to determine the optimal wells location for monitoring groundwater levels throughout the plain. To limit the search space, the maximum and minimum number of monitoring network wells were selected 30 and 85 respectively. Based on the results, the selected method accurately provided the appropriate location of wells, so that in the first scenario, the RMSE values ​​for the number of wells were in the range of 0.71 to 2.34 m. which are acceptable. In the second scenario, the RMSE values ​​of between 1.04 and 2.89 m were obtained, which are appropriate values ​​according to the objective of the problem. Also, the distribution of the wells selected in the area is also uniform in most numbers according to the second scenario, which indicates the good accuracy of the method.

地下水监测需要大量成本和时间，因此有必要通过选择最佳采样井数量并确定其最佳位置来优化定量地下水监测网络，以减少定量地下水评估的成本和时间。研究了从1986年至2016年伊朗伊奈沙伯平原的110口观测井的数据。结合使用了Election-Kriging方法来分析这些数据，并绘制了Pareto图以确定两种情况下的最佳数量和位置。第一种情况是确定现有油井中的最佳油井位置，第二种情况是确定用于监测整个平原地下水位的最佳油井位置。为了限制搜索空间，监视网络井的最大数量和最小数量分别选择为30和85。根据结果​​，选择的方法准确地提供了井的适当位置，因此在第一种情况下，井数的RMSE值在0.71至2.34 m的范围内。这是可以接受的。在第二种情况下，获得的RMSE值在1.04至2.89 m之间，根据问题的目的是适当的值。而且，根据第二种情况，在该区域中选择的井的分布在大多数数量上也是均匀的，这表明该方法的良好准确性。孔数的RMSE值在0.71至2.34 m的范围内。这是可以接受的。在第二种情况下，获得的RMSE值在1.04至2.89 m之间，根据问题的目的是适当的值。而且，根据第二种情况，在该区域中选择的井的分布在大多数数量上也是均匀的，这表明该方法的良好准确性。孔数的RMSE值在0.71至2.34 m的范围内。这是可以接受的。在第二种情况下，获得的RMSE值在1.04至2.89 m之间，根据问题的目的是适当的值。而且，根据第二种情况，在该区域中选择的井的分布在大多数数量上也是均匀的，这表明该方法的良好准确性。