黔张常客运专线卧云界隧道降雨-涌水相关性研究
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摘要
作为黔张常客运专线6座Ⅰ级高风险隧道之一,卧云界隧道受到涌突水严重威胁。通过对卧云界隧道汛期涌水量和降雨量进行相关分析,发现降雨不仅与隧道涌水具有高度相关性且在岩溶含水层的调节作用下存在滞后性,在此基础上建立降雨-涌水回归方程。结果表明:采用回归方程预测隧道涌水量具有简单、快速和精度高的优点,可为隧道在未来不同降雨条件下涌水量预测提供依据。
As one of the six high risk tunnels of grade I in Qianjiang—Zhangjiajie—Changde passenger Line,the Woyunjie tunnel is seriously threatened by water inrush. Exploring the correlation analysis of water inrush and rainfall in flood season of Woyunjie tunnel,the water inrush is not only highly correlated with rainfall but also lagging behind under the regulation of karst aquifer. Based on this,a multiple linear regression equation of rainfall-inrush was established. The result shows that using multiple regression equation to predict tunnel water inrush was of simple,fast and high precision,which can provide the basis for water inrush forecast in tunnels under different rainfall conditions.
As one of the six high risk tunnels of grade I in Qianjiang—Zhangjiajie—Changde passenger Line,the Woyunjie tunnel is seriously threatened by water inrush. Exploring the correlation analysis of water inrush and rainfall in flood season of Woyunjie tunnel,the water inrush is not only highly correlated with rainfall but also lagging behind under the regulation of karst aquifer. Based on this,a multiple linear regression equation of rainfall-inrush was established. The result shows that using multiple regression equation to predict tunnel water inrush was of simple,fast and high precision,which can provide the basis for water inrush forecast in tunnels under different rainfall conditions.
引文
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[2]李苍松,何发亮,陈成宗.渝怀线武隆隧道岩溶涌水量计算新方法[J].中国铁道科学,2005,26(5):41-46.LI C S,HE F L,CHEN C Z. New calculation method of water inflow quantity in Wulong tunnel on Chongqing—Huaihua Railway[J]. China Railway Science,2005,26(5):41-46.
[3]郭纯青,胡君春,李庆松.特长隧道岩溶涌水量预测方法分析[J].煤田地质与勘探,2010,38(6):43-47.GUO C Q,HU J Q,LI Q S. Forecast and analysis of karst water bursting disaster in extra-long tunnel[J]. Coal Geology&Exploration,2010,38(6):43-47.
[4]李祥琛,芮小平,曲小康,等.基于圆盘概化模型的岩溶裂隙渗流路径构建算法[J].地球信息科学学报,2016,18(2):182-189.LI X C,RUI X P,QU X K,et al. Algorithm of karst fracture seepage path construction based on disc generalized model[J]. Journal of Geo-information Science,2016,18(2):182-189.
[5] Panagopoulos C,Lambrakis N. The contribution of time series analysis to the study of the hydrodynamic characteristics of the karst systems:application on two typical karst aquifers of Greece(Trifilia,Almyros Crete)[J]. Journal of Hydrology,2006,329(3/4):368-376.
[6] Massei N,Dupont J P,Mahler J P,et al. Investigating transport properties and turbidity dynamics of a karst aquifer using correlation,spectral,and wavelet analyses[J]. Journal of Hydrology,2006,329(1/2):244-257.
[7]刘建,刘丹.铜锣山隧道涌水对降水的响应特征研究[J].工程勘察,2010,38(2):37-41.LIU J, LIU D. Study on the response feathers between the inflow in Tongluoshan tunnel and the local precipitation[J]. Geotechnical Investigation&Surveying,2010,38(2):37-41.
[8]刘建,刘丹.利用BP神经网络模型动态预测隧道涌水量——以铜锣山隧道为例[J].现代隧道技术,2012,49(3):62-66.LIU J,LIU D. Dynamic predication of tunnel water inflow based on BP neural network:a case study of the Tongluoshan tunnel[J]. Modern Tunnelling Technology,2012,49(3):62-66.
[9]马立平.回归分析[M].北京:机械工业出版社,2014.MA L P. Regression Analysis[M]. Beijing:China Machine Press,2014.
[10]铁道部第二勘测设计院.岩溶工程地质[M].北京:中国铁道出版社,1984.China Railway Eryuan Engineering Group Co.,Ltd. Karst Engineering Geologg[M]. Beijing:China Railway Publishing House,1984.
[11]王黎明,王连,杨楠.应用时间序列分析[M].上海:复旦大学出版社,2009.WANG L M,WANG L,YANG N. Applied Time Series Analysis[M].Shanghai:Fudan University Press,2009.
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