宿州市城西水源地地下水监测网优化  

Optimization of Groundwater Monitoring Network in West Water Sources of Suzhou City

作　　者：王丽娟[1,2] 陶建华 胡学娟[4] WANG Li-juan;TAO Jian-hua;HU Xue-juan(School of Municipal and Transportation Engineering,Anhui Technical College of Water Resources and Hydroelection Power,Hefei 231603,China;School of Civil and Hydraulic Engineering,Hefei University of Technology,Hefei 230009,China;Geo-environment Monitoring Station of Anhui Province,Hefei 230001,China;Ningxia Funing Engineering Design Consulting Co.,Ltd,Yinchuan 750104,China)

机构地区：[1]安徽水利水电职业技术学院市政与交通工程学院,安徽合肥231603 [2]合肥工业大学土木与水利工程学院,安徽合肥230009 [3]安徽省地质环境监测总站,安徽合肥230001 [4]宁夏福宁工程设计咨询有限公司,宁夏银川750104

出　　处：《辽东学院学报（自然科学版）》2024年第2期99-104,共6页Journal of Liaodong University:Natural Science Edition

基　　金：安徽省教育厅自然科学项目(2022AH040302)。

摘　　要：为提高宿州市城西水源地地下水监测精度,消除“天窗”地质条件下潜水对浅层地下水水质的负面影响及城市工业发展可能对地下水产生的污染,使用ArcGIS软件在半变差函数和拉格朗日算法的基础上,采用Kriging方法对监测网进行评价优化。研究结果表明,通过剔除3个冗余站点,新增6个监测站点,监测网的Kriging误差方差由0.06~2.80变为0.41~0.68,优化后的监测网能有效监测研究区的地下水水质和水位的变化,整体监测精度显著提高。In order to improve the groundwater monitoring accuracy in the west water sources of Suzhou city,eliminate the negative impact of phreatic water on shallow groundwater quality under the geological conditions of“skylight”,and reduce groundwater pollution possibly caused by urban industrial development,the article,on the basis of the variation function and Lagrange algorithm,uses ArcGIS software and Kriging method for monitoring network evaluation optimization.The results show that by eliminating 3 redundant stations and adding 6 monitoring stations,the Kriging error variance of the monitoring network changed from 0.06-2.80 to 0.41-0.68.The optimized monitoring network can not only effectively monitor the change of ground water quality and water level in the research area,but also significantly improve the overall monitoring accuracy.

关 键 词：地下水 KRIGING方法 监测网优化 

分 类 号：X832[环境科学与工程—环境工程]