| Numerical Simulation of Land Subsidence at Tanggu District in Tianjin, China |
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| 作者姓名： | 董国凤 张建军 赵全 赵新华 |
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| 作者单位： | School of Environment Science and Engineering Tianjin University，Tianjin Academy of Environmental Sciences，School of Environment Science and Engineering Tianjin University，School of Environment Science and Engineering Tianjin University，Tianjin 300072 China Tianjin 300171 China Tianjin 300072 China Tianjin 300072 China |
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| 基金项目： | Supported by Tianjin Land Subsidence Controlling Office(No.kJ/095). |
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| 摘 要： | The deep, unconsolidated sedimentary aquifersof eastern coastal China have been heavily over-exploited, which caused aquifer compaction and re-sulted in the highest rates of land subsidence in Chinaduring the past50 years. As the government and gen-eral public paid more attention to land subsidence is-sues, land subsidence monitoring networks have beenset up since the mid-1980s. However, due to lack ofgeological data as well as practical simulation meth-ods, current work focuses on routine obs…
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| 关 键 词： | 地下水开采 承压含水层 地面沉降 神经网络 溏沽地区 |
| 收稿时间： | 2006-03-02 |
Numerical Simulation of Land Subsidence at Tanggu District in Tianjin, China |
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| DONG Guofeng,ZHANG Jianjun,ZHAO Quan,ZHAO Xinhua.Numerical Simulation of Land Subsidence at Tanggu District in Tianjin, China[J].Transactions of Tianjin University,2006,12(6):457-462. |
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| Authors: | DONG Guofeng ZHANG Jianjun ZHAO Quan ZHAO Xinhua |
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| Abstract: | Based on observed data from Tanggu District in Tianjin,a back-propagation neural network (BPNN) model was introduced to predict possible land subsidence due to exploitation of groundwater.According to model estimation under various hypothetical extraction scenarios,patterns of land subsidence at Tanggu District were studied and discussed.The predicted average background land subsidence rate of Tanggu is 9.47 mm/a.The significance of contribution of aquifers to land subsidence descends in order of units Ⅳ ,Ⅲ,Ⅴ ,Ⅱ.Land subsidence tends to deteriorate with the increase in total extraction rate. |
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| Keywords: | groundwater exploitation confined aquifer land subsidence neural network Tanggu District |
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