Study Of Optimization Of Regional Groundwater Level Monitoring Network Distribution

Groundwater is precious natural resources, which plays an essential role in ensuring the security of our drinking water, food, economy and also ecology. It has become an important source of water for residents, industrial production and agriculture activities because of its large number, water stability, good quality and other characteristics. With the reduction and pollution of surface water, groundwater has become increasingly important. But with the increasing of population, especially the urban concentration, life and industrial production scale urban residents continuing to expand, a direct result is the growing demand for surface water exploitation. However, due to the presence of no rational planning and over-exploitation, it results in the deterioration of the ecological problems of groundwater, such as ground subsidence. In addition, because of the pollution, the quality of groundwater is becoming serious deterioration and the groundwater ecological environment is increasingly fragile. Furthermore, there are much more problems such as an unreasonable use of groundwater, resulting in waste of water resources. In short, more and more problems of groundwater appear and the environment of groundwater needs to be improved. Firstly we need to monitor the groundwater number and quality, and collect the first-hand information on real-time data.The layout of the groundwater monitoring network has been studied for decades. Due to technical limitations, the layout of groundwater network hasn’t been known well, and the experience hasn’t been summarized, too. This situation is not conducive to scientific management, protection of water resources and water environment. Therefore, in order to understand the real situation of groundwater quality well, we should know well about the groundwater monitoring networks’ present situation and existing problems, and draw on the experience and management experience of some developed countries, and give some useful suggests to our groundwater monitoring network.Based on the macro-theoretical research and literature review, this paper takes Ningjin groundwater overdraft area for example and then points out the existing problems of the groundwater monitoring network. In order to optimize the layout of groundwater level monitoring network, this paper analyzes the available information and our predecessors’ research, studies the hydrogeological conditions of Ningjin groundwater overdraft area, and collects the data about the distribution and water level of observation wells and finally optimizes the groundwater level monitoring network of the study area. Main research contents and conclusions of the paper are as follows:(1)By collecting the data of the distribution of groundwater monitoring wells, water level monitoring data and other basic data, this paper analyzes the present situation of regional groundwater monitoring network and the monitoring skills.(2)Calculate the expression γ(h)=0.3262hij1.4467 for the experimental variogram function in Ningjin groundwater overdraft area through Matlab and Excel according to the water level data of observation wells, the character of variogram function and our predecessor’s research.(3)According to the calculated variogram using Kriging interpolation error calculated before and after optimization theory variance, given the theoretical variance of the critical value of 0.50 to 0.60. The final result is that canceling the No.80 monitoring well, and adding No. 23 monitoring well.(4) After making theoretical variance contour maps with Arcgis,and making comparative analysis of the results, we can see the optimization theory variance range is between 0.50 to 0.60, meeting the monitoring requirements.(5)A Conclusion drawn from the optimization of groundwater level diagram with surfer is that the groundwater level diagram line of the optimized distribution is more obvious,and better accurately reflecting the dynamic varing law of groundwater level in dynamic observation area.This discover can better moniter the groundwater dynamic as well as the evolution of the depression cone to meet the demand of optimization.