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- W2391567741 abstract "Based on the analysis of the massive land subsidence,meteorology and hydrology,geological conditions,and groundwater data in Taiyuan,the paper respectively builds BP neural network for four land subsidence centers with reference to their difference of settlement trend.On the basis of training BP neural network model,the paper forecasts the settlement trend from 2009 to 2015 under the groundwater exploitation planning scheme and different levels of precipitation assurance.It is concluded that the groundwater exploitation planning scheme in Taiyuan is effective for controlling land subsidence.It is the most effective for Xiayuan and Wujiabao subsidence centers,but for Xizhang center,which still tends to be sinking though the settlement reduces.Therefore,it is necessary to adjust groundwater exploitation scheme for Xizhang center.Meanwhile,it reveals that the precipitation accelerates the land subsidence." @default.
- W2391567741 created "2016-06-24" @default.
- W2391567741 creator A5082979511 @default.
- W2391567741 date "2011-01-01" @default.
- W2391567741 modified "2023-09-27" @default.
- W2391567741 title "Land Subsidence Forecast and Analysis of Taiyuan City Based on BP Neural Network" @default.
- W2391567741 hasPublicationYear "2011" @default.
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