摘要
云南境内的金沙江流域是斜坡不稳定的敏感区,根据1988-2000年的区域调查和统计,区内发育山地灾害点1697处,其中流域面积大于1km2的泥石流沟808条,体积大于1×104m3的滑坡580处,体积大于1000m3的崩塌309处。用于山地灾害危险性评价的主要敏感因子包括岩土体类型、山坡坡度、降雨、土地利用、地震烈度和人类活动。在对这些因子进行了敏感性评价的基础上,应用GIS对敏感因子集成评价而产生了云南金沙江流域山地灾害危险性评价图。评价结果表明:高危险区面积占全区面积6464km2的8 77%,中危险区占全区总面积的41 51%,低危险区占41 12%,无危险区占8 60%。山地灾害危险性评价图可以帮助规划者或工程师在土地发展规划中选择最佳建设场所,以减轻灾害的影响。
The Jinsha River Watershed of Yunnan Province are particularly prone to slope instability. Based on regional inventory of whole study area during the period from 1988 to 2000, we recorded 1697 mountain disasters, incuding 808 debris flow ravines with the watershed area of more than 1 km^2 ; 580 landslides with the volume of more than 10000 m^3 and 309 rockfall with the volume of more than 1000 m^3.The study area was elected in the Jinsha River Watershed of Yunnan Province, which is seriously suffeed from variety of mountain hazards. Assessment of mountain disasters is to divide the land surface into zones of varying degrees of stability, based on an estimated significance of causative factors in inducing instability. For this purpose a GIS-based approach can give an estimate of the probability of occurrence of disasters. This paper discussed the potential of combining GIS technology and hazard modeling in assessment and also outline the advantage of GIS application for hazard mapping. The major factors considered for preparation of susceptibility analysis maps include rock and soil type, slope, rainfall, land use cover, seismological intensity and human activities. An integration of these factors with certain condition yielded debris flow susceptibility values. By a GIS-based tool, these values were assessed for creating hazard zonation map in the study area. The map shows that the high hazard area takes up 8.77% of total study area of 6464 km^2, the middle hazard area is 41.51%, and the low 41.12%, as well as no hazard area is 8.60%.
出处
《山地学报》
CSCD
2004年第4期451-460,共10页
Mountain Research
基金
国家自然科学基金资助项目(49861001).~~
