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Groundwater Resources Assessment And Prediction Of Water Level Of The Inclined Plain Area At Lang Shan

Posted on:2012-03-25Degree:MasterType:Thesis
Country:ChinaCandidate:J X ShiFull Text:PDF
GTID:2120330335989277Subject:Hydrology and water resources
Abstract/Summary:PDF Full Text Request
The plain area in front of Lang Shan Mountain which lies within Huang river catchment has been chosen as research area in this article. The quantity of the groundwater resources has been evaluated based on the systematical analysis of the regional hydrogeological conditions, while using water balance method and groundwater numerical simulation method. In addition, taking the advantage of the groundwater flow numerical model and Backpropagation Neural Network, the trend of the change of groundwater level has been studied. The main contents include:1. According to the data sets which reflect the topographical, meteorological, hydrological and hydro-geological conditions, the groundwater system has been analyzed and the practical water aquifer has been determined within the research area.2. Based on the identification of the groundwater system, the amount of recharge and discharge water resources have been calculated properly. The quantity of the groundwater resources and the groundwater available yield has been calculated, which is 16114.975×104m3 and 12697.815×104m3 respectively.3. The changing trend of the groundwater level has been predicted based on the establishment of the numerical groundwater flow model. On the premise that the water table drop to the maximum, the map of water table contour has been obtained as a result. In the meantime, Backpropagation Neural Network has been used to forecast the water table of several long view holes for comparatively short span of time. Results show that the annual groundwater level has barely changed during the whole time span. However, daily and monthly changes fluctuate dramatically. This phenomenon might due to the result of irrigation. Research also shows that groundwater depression cone is not supposed to extend to the entire study area according to the situation that groundwater supply is adequate enough.
Keywords/Search Tags:Groundwater resouorce assessment, Water balance method, Numerical Simulation, Backpropagation Neural Network, Groundwater level forecast
PDF Full Text Request
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