地质灾害信息,尤其是滑坡灾害的多源性、模糊性、非确定性和随机性,使得信息处理和空间综合分析十分复杂。利用ArcG IS Engine的二次开发接口,结合地质灾害专业数学模型,包括模糊综合评判、多元回归分析、神经网络、信息量法4种模型,使...地质灾害信息,尤其是滑坡灾害的多源性、模糊性、非确定性和随机性,使得信息处理和空间综合分析十分复杂。利用ArcG IS Engine的二次开发接口,结合地质灾害专业数学模型,包括模糊综合评判、多元回归分析、神经网络、信息量法4种模型,使用栅格图层叠加方法,得出滑坡危险性评价图。克服了传统危险性评价成果缺乏直观性和可操作性,导致成果可靠程度的降低。本文主要尝试利用4种模型进行滑坡危险性区域评价,以秭归县某区域为原型,得到评价结果包括低、较低、较高、高4种。因此,建立地质灾害危险性评价的G IS系统是十分必要的。展开更多
Semi qualitative index based methods using rankings and ratings are commonly used in susceptibility estimations over a wide area. However, generalized ranking and ratings are not applicable for one single landslide. T...Semi qualitative index based methods using rankings and ratings are commonly used in susceptibility estimations over a wide area. However, generalized ranking and ratings are not applicable for one single landslide. This paper gives an easy and transferable approach to a susceptibility assessment of Huangtupo landslide(P.R. China), using raster addition without taking account for ranking and ratings. Slope, aspect, curvature, location and drainage buffer distance raster data sets have been obtained out of open source digital elevation models using ESRI's Arc GIS. These conditioning factor raster data sets have been translated into raster data sets including simple yes or no criteria, referring to triggering or not. Subsequently they have been added by raster math to acquire a simple raster overlay map.After that this map is compared to initial displacement measurements, obtained by using a ground based synthetic aperture radar device. Acquired data is recalculated to a raster data set using the same spatial extent, to provide the possibility of comparison of the two raster data sets. The results reveal, that 76.35% of all measured movements occur in areas where raster cells include three or more conditioning factors, indicating that easy raster math operations can lead to satisfying results in local scale.展开更多
文摘地质灾害信息,尤其是滑坡灾害的多源性、模糊性、非确定性和随机性,使得信息处理和空间综合分析十分复杂。利用ArcG IS Engine的二次开发接口,结合地质灾害专业数学模型,包括模糊综合评判、多元回归分析、神经网络、信息量法4种模型,使用栅格图层叠加方法,得出滑坡危险性评价图。克服了传统危险性评价成果缺乏直观性和可操作性,导致成果可靠程度的降低。本文主要尝试利用4种模型进行滑坡危险性区域评价,以秭归县某区域为原型,得到评价结果包括低、较低、较高、高4种。因此,建立地质灾害危险性评价的G IS系统是十分必要的。
基金a part of the interdisciplinary "YANGTZE-Project" which is supported by the German Federal Ministry of Education and Research (BMBF)the BMBF for the great financial support
文摘Semi qualitative index based methods using rankings and ratings are commonly used in susceptibility estimations over a wide area. However, generalized ranking and ratings are not applicable for one single landslide. This paper gives an easy and transferable approach to a susceptibility assessment of Huangtupo landslide(P.R. China), using raster addition without taking account for ranking and ratings. Slope, aspect, curvature, location and drainage buffer distance raster data sets have been obtained out of open source digital elevation models using ESRI's Arc GIS. These conditioning factor raster data sets have been translated into raster data sets including simple yes or no criteria, referring to triggering or not. Subsequently they have been added by raster math to acquire a simple raster overlay map.After that this map is compared to initial displacement measurements, obtained by using a ground based synthetic aperture radar device. Acquired data is recalculated to a raster data set using the same spatial extent, to provide the possibility of comparison of the two raster data sets. The results reveal, that 76.35% of all measured movements occur in areas where raster cells include three or more conditioning factors, indicating that easy raster math operations can lead to satisfying results in local scale.
