岳家桥镇岩溶塌陷区地下水动态监测与分析  

The Survey and Analysis the Influence of Groundwater Changes on Karst Collapse in Yuejiaqiao Area

作　　者：邓沛宇 黎永索[1] 李留玺[1] 范子坚 黄文武 廖旭航 熊咸瑞 

机构地区：[1]湖南城市学院土木工程学院,湖南益阳413000

出　　处：《湖南城市学院学报（自然科学版）》2017年第6期26-29,共4页Journal of Hunan City University:Natural Science

基　　金：国家自然科学基金项目(51678226);湖南省科技计划项目(2014SK3180);湖南省教育厅科研重点项目(14A024);湖南省大学生创新试验计划项目(201511527004);全国大学生创新试验计划项目(201611527002)

摘　　要：为了探究地下水动态变化对岩溶塌陷的影响,以益阳市岳家桥地区为例,研究分析了地下水变化对浅层岩溶地表稳定性的影响.通过使用水位计、流速仪和电子水准仪对岳家桥镇岩溶塌陷区的水位、流速和地表沉降变化进行监测,并对监测数据进行统计和对比,结果表明:地下水位的增高会加剧岩溶塌陷,地下水位降低有利于岩溶地区稳定.并根据洞室埋深和监测所得的水文数据采用BP神经网络对岩溶塌陷进行预测,预测结果表明预测值能很好的拟合实际沉降数据,对于治理岳家桥地区的岩溶塌陷具有一定参考价值.In order to study the influence of the groundwater dynamic change on Karst roke collapse, based on an example as the area of Yuejiaqiao in the city of Yiyang, this study analyzed the changes of groundwater effect on the stability of the shallow Karst terrain. The water level, flow rate and surface subsidence in the Karst subsidence area of Yuejiaqiao were monitored by using water level meter, the current meter and electronic level. Then, the statistics and comparison of the monitoring data it is concluded that ground water level raising will exacerbate Karst collapse and water level decline that is contributed to the stabilization of karst area. In addition, the study based on the depth of the Karst and hydrological data builds a BP neural network to predict the surface subsidence, and the prediction result is similar to the actual data. It is of a certain reference value to govern Karst collapse in Yuejiaqiao Area.

关 键 词：岩溶塌陷 水位变化 地下水 BP神经网络 

分 类 号：TU457[建筑科学—岩土工程]