摘要
为了对傍河地下水位监测断面进行优化设计,更好地掌握地下水位动态时空变化特征,以安徽省亳州市河水-地下水监测断面为例,分别采用克里金法和时间序列法,通过分析监测断面上9口地下水位观测井及河水位观测点在1982年1月—1998年12月的水位观测数据,对观测井空间布局、井数和观测频率进行优化。结果表明:空间布局优化后的观测井数量由原来的9减少到3,平均相邻井距为1000 m,优化后的水位克里金估计标准误差平均值为0.0192 m,误差波动范围较小;观测频率优化后由5日一测变为10日一测,能够满足观测精度要求。
In order to optimise the design of the groundwater level monitoring section beside the river,the river-groundwater monitoring section in Bozhou City,Anhui Province,was used as an example to analyse the water level observation data of nine groundwater level observation wells and river level observation points on the monitoring section from January 1982 to December 1998.The Kriging method and the time series method were used to optimize the spatial layout,number of wells and frequency of observation wells,and grasp the spatial and temporal characteristics of groundwater level dynamics.The results showed that the number of observation wells was reduced from 9 to 3,and the average distance between adjacent wells was 1000 m.The average standard error of kriging estimation of water level was 0.0192 m after optimization,with a small fluctuation range.The frequency of observation has been changed from a measurement once every 5 d to a measurement once every 10 d,which can meet the requirements of observation accuracy.
作者
束龙仓
栾佳文
宫荣
鲁程鹏
丁峰
陶月赞
龚建师
Shu Longcang;Luan Jiawen;Gong Rong;Lu Chengpeng;Ding Feng;Tao Yuezan;Gong Jianshi(College of Hydrology and Water Resources,Hohai University,Nanjing 210098,China;State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering,Hohai University,Nanjing 210098,China;Anhui Bureau of Hydrology,Hefei 230022,China;College of Civil Engineering,Hefei University of Technology,Hefei 230009,China;Nanjing Center,China Geological Survey,Nanjing 210016,China)
出处
《吉林大学学报(地球科学版)》
CAS
CSCD
北大核心
2023年第2期555-565,共11页
Journal of Jilin University:Earth Science Edition
基金
国家重点研发计划项目(2021YFC3200500)
国家自然科学基金项目(41971027)。
关键词
水位监测断面
时空分布
观测井布设优化
观测频率优化
water level monitoring section
spatiotemporal distribution
observation well layout optimization
observation frequency optimization