岩溶地下水监测网优化分析被引量：10

OPTIMIZATION ANALYSIS OF GROUNDWATER MONITORING NETWORK OF A KARST AQUIFER

下载PDF

导出

摘要淄博市大武水源地是中国北方罕见的特大型岩溶-裂隙地下水水源地,地下水开采量为52×10~4m^3/d。为了对岩溶地下水进行有效监测,需要建立最优的地下水监测网。文中在对岩溶地下水流系统分析的基础上,建立了地下水流系统确定性-随机性数学模型,运用有限元与卡尔曼滤波耦合的模拟递推算法,对大武水源地地下水监测网进行了优化设计,结果显示:现有地下水位动态监测网难以达到监测目标,最优地下水位监测网由14个监测井,每月监测一次的监测频率组成,比现有地下水位监测网减少了2个监测井。 The Dawu well-field in Zibo is one of the largest karst well fields in North China, with yield of 520 000 m3 per day. It needs to carry out the optimal network for groundwater monitoring. Based on deterministic and stochastic characteristics of a groundwater system, the simulation algorithm of coupled finite element and kalman filtering is applied in analyzing the network for groundwater monitoring of. a karst aquifer system. It is shown that an optimum network for groundwater monitoring should be made up of 14 observation wells and the observation frequency should be one time per month. Two observation wells are reduced as compared with the existing monitoring network in Dawu well-field of China.

作者仵彦卿边农方

机构地区西安理工大学山东省淄博市大武水源地管理处

出处《地学前缘》 EI CAS CSCD 2003年第4期637-643,共7页 Earth Science Frontiers

基金国家自然科学基金重大研究计划项目(90102003) 中国科学院知识创新项目(CACX210021 KZCX1-10-03) 教育部重点项目(00233)

关键词岩溶含水层地下水流监测网设计有限元与卡尔曼滤波耦合模拟算法大武水源地 karst aquifer system groundwater flow network design coupled finite element and kalman filtering simulation algorithm Dawu well-field of China

分类号 P315.1 [天文地球—地震学] P315.2 [天文地球—地震学]

引文网络
相关文献

参考文献20

1HUGHES J P, LETTENMAIER D P. Date requirements for kriging: Estimation and network design[J].Water Resources Research, 1981, 17(6):1641-1650.
2ADAMOUSKI K, HAMORY T A. Stochastic systems model of groundwater level fluctuations[J].Journal of Hydrology, 1983, 62(1/4): 129-141.
3BOGARDI I, BARDOSSY A. Multicriterion network design using geostatistics [J].Water Resources Research, 1985, 21: 199-208.
4CARRERA J, USUNOFF E, SZIDAROVSZKY F. A method for optimal observation network design for ground water management [J].Journal of Hydrology, 1984, 73: 147-163.
5PRAKASH M R, SINGH V S. Network design for groundwater monitoring-A case study [J]. Environmental Geology, 2000, 39(6): 628-632.
6ROUHANI S. Variance reduction analysis [J].Water Resources Research, 1985, 21: 837-846.
7SPRUILL T B, CANDELA L. Two approaches to design of monitoring networks [J]. Ground Water, 1990, 28(3): 430-442.
8WOLF F G, TESTA S M.Kriging: A Geostatistical Technique for Evaluating Groundwater Monitoring Networks[P]. National Conference on Hazardous Wastes and Environmental Emergencies. MD U S A, 1985.168-172.
9SOLOMATINE D P. Random search methods in model calibration and pipe network design[A]. SAVIC D,WALTERS G. Water Industry System: Modeling and Optimization Applications[M].Baldock, UK:Research Studies Press Ltd., 1999, 2: 317-332.
10DORN J L, RANJITHAN S.Evolutionary Multiobjective Optimization in Watershed Water Quality Management[P].FONSECA,et al.Evolutionary Multi-Criteria Optimization[M]. Lecture Notes in Computer Science (LNCS). Berlin:Springer-Verlag, 2003, 15: 34-56.