王宇博.抗浮水位确定方法的对比分析研究——以长春地铁2号线东延三道村东站为例[J].西北地质,2020,53(4):207-215 WANG Yubo.A Comparative Analysis on Determination Methods of Up-floating Water Level ——A case study of Sandaocundong Station of East Extension Line of Changchun Metro Line 2[J].Northwestern Geology,2020,53(4):207-215
抗浮水位确定方法的对比分析研究——以长春地铁2号线东延三道村东站为例
A Comparative Analysis on Determination Methods of Up-floating Water Level ——A case study of Sandaocundong Station of East Extension Line of Changchun Metro Line 2
投稿时间:2019-12-05  修订日期:2020-04-06
DOI:10.19751/j.cnki.61-1149/p.2020.04.019
中文关键词:  抗浮水位;GMS;BP神经网络;地下水位预测
英文关键词:up-floating water level;GMS;BP neural network;prediction of underground water level
基金项目:北京城建勘测设计研究院有限责任公司科研开发计划项目“长春地区浅层地下水特性与工程处理措施研究”(2019-内研-02)
作者单位
王宇博 1. 北京城建勘测设计研究院有限责任公司, 北京 100101

2. 城市轨道交通深基坑岩土工程北京市重点实验室, 北京 100101 
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中文摘要:
      以长春地铁2号线东延三道村东站为例,分别采用数值模拟法、动态曲线比拟法、频率分析法和BP神经网络法对车站未来百年可能出现的最高水位进行了预测。用4种方法对地下水位埋深预测结果分别为2.0 m、2.31 m、2.05 m和2.13 m。结合孔隙水压力监测结果显示,该站孔隙水压力不存在折减的情况,综合确定最终抗浮水位埋深2.0 m,抗浮水位标高257.2 m。
英文摘要:
      This paper takes Sandaocundong Station of East Extension Line of Changchun Metro Line 2 as an example, using such methods as numerical simulation method, dynamic curve analogy method, frequency analysis method and BP neural network method to predict the possible maximum water level in the next century. The prediction results of groundwater depth from four methods are 2.0m, 2.31 m, 2.05 m and 2.13 m respectively. The monitoring of pore water pressure shows that there is no reduction of pore water pressure in this station. The final buried depth of up-floating water level is 2.0 m and the up-floating water level is 257.2 m.
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