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基于土壤侵蚀模型的浅层滑坡预警研究
引用本文:吕佼佼,范文,吕远强.基于土壤侵蚀模型的浅层滑坡预警研究[J].水土保持通报,2017,37(3):227-230,236.
作者姓名:吕佼佼  范文  吕远强
作者单位:1. 长安大学地质工程与测绘学院,陕西西安,710054;2. 长安大学地质工程与测绘学院,陕西西安710054;中煤西安设计工程有限责任公司岩土所,陕西西安710054
基金项目:国家自然科学基金项目“降雨诱发软弱变质岩斜坡浅表层变形破坏机理研究”(41272282);中国地质调查局地质调查工作项目“秦巴山区浅表层滑坡变形破坏机理研究”(1212011220135)
摘    要:目的]利用土壤侵蚀模型进行浅层滑坡的预警研究,为山区滑坡预警预报工作提供参考。方法]选取陕西省紫阳县境内440km~2区域作为典型研究区,在已有历史滑坡资料、气象资料和卫星资料的基础上,基于土壤侵蚀模型(USLE),并结合地理信息系统(GIS),确定滑坡临界土壤侵蚀强度,再根据降雨侵蚀力与降雨量之间的关系,推求滑坡点的预警降雨量。结果]土壤侵蚀强度与滑坡的发生存在较好的相关性,研究区域滑坡预警的临界土壤侵蚀强度按等级分别为69.6,136.7,179.4t/km~2。结论]相比以往仅仅统计滑坡与降雨之间关系的传统方法,基于土壤侵蚀模型的方法考虑更全面,也易于实现。

关 键 词:浅层滑坡  土壤侵蚀  秦巴山区  滑坡预警
收稿时间:2016/10/11 0:00:00
修稿时间:2016/11/13 0:00:00

Research on Early Warning of Shallow Landslide Based on Soil Erosion Model
L&#; Jiaojiao,FAN Wen and L&#; Yuanqiang.Research on Early Warning of Shallow Landslide Based on Soil Erosion Model[J].Bulletin of Soil and Water Conservation,2017,37(3):227-230,236.
Authors:L&#; Jiaojiao  FAN Wen and L&#; Yuanqiang
Institution:School of Geology Engineering and Geomatics, Chang''an University, Xi''an, Shaanxi 710054, China,School of Geology Engineering and Geomatics, Chang''an University, Xi''an, Shaanxi 710054, China and School of Geology Engineering and Geomatics, Chang''an University, Xi''an, Shaanxi 710054, China;Geotechnical Institute of China Coal Xi''an Design and Engineering Co. Ltd., Xi''an, Shaanxi 710054, China
Abstract:Objective] Using the soil erosion model in early warning of shallow landslide, to provide a new reference for landslide early warning work in mountain area.Methods] A typical area covering 440 km2 in Ziyang County of Shaanxi Province was taken as research area, where the historical landslide data, meteorological data and satellite data were collected. Universal soil loss equation(USLE) combined with GIS was used to determinate the critical soil erosion intensity. Upon which, the early warning rainfall amount was derived based on the relationship between rainfall erosivity and rainfall amount.Results] A significant correlation between soil erosion and the landslide was found. The critical soil erosion in the research area ranked 69.6, 136.7, 179.4 t/km2 respectively.Conclusion] Compared to the traditional way that only the statistical relationship between landslide and rainfall is considered, the method which based on the USLE is easily applied and has a high practical value.
Keywords:shallow landslides  soil erosion  Qinba Mountains  landslide early warning
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