Analysis And Research On Monitoring Data Of National Groundwater Level

Groundwater monitoring data is not only helpful to understand and evaluate the status quo of groundwater,to understand the trend of groundwater historical change process,and to master its change law,but also the basic support for groundwater management and research.In 2015,the Ministry of natural resources and the Ministry of water resources jointly launched the national groundwater monitoring project.However,due to the short deployment time of the monitoring stations,the continuous monitoring data has not been formed for a long time.Moreover,the regional hydrogeological conditions in China are complex and diverse,and the professional knowledge level of groundwater administrators in various regions is different,which all lead to the monitoring data can not be fully utilized and can not be very good To serve the management of groundwater.Therefore,this paper takes Minqin Basin as a typical area to study the integration and application theory of national groundwater monitoring data,which can provide technical support for the scientific management of groundwater in China.Minqin Basin is a typical inland basin in Northwest China.Its water level is mainly affected by surface water irrigation infiltration,mining volume,canal system infiltration and lateral runoff.According to their influence,the dynamic types are classified into runoff type,mining type,irrigation infiltration mining type and runoff infiltration mining type.14 national groundwater monitoring stations have been set up in this area,of which 13 are reconstructed from local monitoring stations.There are problems of short time sequence and lack of monitoring data.In this paper,the water level difference method and regression analysis method are used to complete the data integration of 14 monitoring stations,forming a continuous long series of water level data from January 2007 to January 2019.According to the integrated national groundwater level monitoring data,the grid method is used to calculate the storage variables from 2007 to 2018.The results show that the annual storage variables before 2010 are about-1×10~8m~3,and the storage variables gradually decrease after 2010.From 2014,the positive equilibrium appeared and gradually stabilized at about 0.20×10~8m~3per year.The regional equilibrium method is used to estimate the mining volume in the study area.The regional equilibrium method is used to estimate the mining volume in the study area.The results show that the mining volume in this area is relatively large before 2010,and the mining volume is reduced to 0.86×10~8m~3 per year after treatment in about 3×10~8m~3 per year.Based on the water level data of the national monitoring station,the multiple linear regression analysis model,time series analysis model and BP neural network model are established respectively in the selection of typical monitoring stations.Through the comparison of model accuracy and error analysis,the applicable time of the mining type dynamic applicable regression analysis model and BP neural network model,irrigation infiltration mining type and canal infiltration type dynamic monitoring stations are finally determined The sequence analysis model is also suitable for other basins with similar hydrogeological conditions.Using the applicable model to predict the water level,the results show that under the current condition of supplementary drainage,the water level of dengcha monitoring station in Yanglu will rise by 1.5m,that of quanshanheping monitoring station by0.45M,and that of shazuidin monitoring station by 0.5m in the next five years,which has met the planning requirements;the water level of shaqukou monitoring station in harvest will fall by 0.7m,which has not met the planning requirements.In this regard,the local management department should reasonably plan the proportion of water resources in order to meet the requirements of continuous rise of water level in the area.