The Optimization Of The Groundwater Monitoring Network Of Songnen Plain(jilin Part)

As an important part of water source, groundwater plays an irreplaceable role in the socio-economic development in the Songnen Plain. However, Long-term exploitation of groundwater in Songnen Plain led to falling water tables, land subsidence to fractures, aquifer depletion, soil salinization and other geological and environmental problems. Groundwater monitoring network of water resources is the indispensable basis of exploitation and environmental protection. Currently, the existing monitoring well data and results of Songnen Plain cannot fully meet the needs of groundwater resources development and geological protection and management. Therefore, groundwater monitoring network needs further optimized design. This article has practical significance for the Groundwater Monitoring Network.In this paper, quaternary unconfined aquifer and confined aquifer monitoring network Songnen Plain were optimized and the optimization results were evaluated. The main groundwater monitoring network optimization methods include hydrogeological analysis, kriging, Kalman method and information entropy methods. Given the fact that the Groundwater has experienced a certain degree of exploitation, the limited data allows for traditional hydrogeological methods for optimization.Currently the most effective hydrogeology method of groundwater level monitoring network optimization design is the groundwater dynamic map compilation method. Factors affecting groundwater level change include: meteorology, hydrology, surface properties, geological characteristics and human engineering activities. All these factors will be comprehensive analyzed to provide the basis for optimizing the design of groundwater level monitoring network.In this paper, based on the monitoring data from 2008 to 2012, the spatial analysis functions Map GIS software was used to establish superimposed synthesis dynamic groundwater zoning map. Furthermore, status of the monitoring pore distribution was designed according to the spatial location of the monitoring wells and the map. For each type of groundwater dynamic partitions, at least one monitoring hole is needed to monitor different types of groundwater regime, and to grasp temporal variation of groundwater level. This paper finally confirmed the number of Quaternary phreatic water region is 77, after optimization the number of Quaternary phreatic water wells is 91; the number of Quaternary confined region is 37, after optimization the number of Quaternary confined wells is 60. Finally, kriging interpolation method and Arc GIS Geostatistical module were used to monitor the network optimization to evaluate the reasonableness of the results.