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机构地区:[1]昆明理工大学交通工程学院,昆明650500 [2]昆明理工大学建筑工程学院,昆明650500 [3]云南省公路科学技术研究所,昆明650051
出 处:《吉林大学学报(地球科学版)》2012年第4期1112-1118,共7页Journal of Jilin University:Earth Science Edition
基 金:国家自然科学基金项目(40572159;40772189);NSFC-云南联合基金重点项目(U1033601);交通部西部科技项目(200831876723);云南省教育厅基金项目(09Y0076)
摘 要:在数字高程模型(DEM)的基础上,运用滑坡降雨阈值模型,以楚雄丁家坟一斜坡作为试验研究工点,结合现场勘察、监测数据以及斜坡岩土体主要特性、地形地貌、降雨强度与降雨持续时间、地下水位等因素,模拟斜坡单元产生潜在滑动时的临界降雨量,研究降雨对滑坡发生、分布的影响。研究结果表明:各斜坡单元产生潜在滑动时的临界降雨量各不相同,在不同的降雨量及地下水位条件下滑坡降雨阈值模型模拟的潜在滑坡位置主要位于楚勐公路下边坡处,与实际发生滑坡的位置吻合率达80%以上,滑坡降雨阈值模型可实现对斜坡稳定性进行可视化分析与预测,为降雨型滑坡提供一种有效的预测与分析方法。Based on digital elevation model (DEM),the slope in Dingjiafen, Chuxiong was taken as an experimental research worksite to study the effect of rainfall on landslide occurrence and distribution by means of landslide rainfall threshold model(LRTM). The critical rainfall for a slope unit to generate a potential sliding was simulated combined with field investigation, monitoring data, main features of the slope rock and soil mass, topography and geomorphology, rainfall intensity and duration, underground water level and other factors. Results showed that the critical rainfall to cause a potential sliding varies in each slope. In different rainfall and groundwater level conditions, according to the simulation of LRTM the potential landslide position was mainly located below Chu - Meng highway, leading to a more than 80~ agreement rate with the actual landslide position. Visual analysis and prediction of slope stability can be realized through LRTM, which provide an effective method for the forecast and analysis of rainfall-induced landslide.
分 类 号:P642.22[天文地球—工程地质学]
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