AI SearchLandslide hazard and risk assessment for road network using RS and GIS : a case study of Xin Man District, Viet Nam
Lai Tuan Anh
Landslide hazard and risk assessment for road network using RS and GIS : a case study of Xin Man District, Viet Nam - Pathum Thani, Thailand : Asian Institute of Technology, 2006 - 89 leaves : ill. - Thesis; no. RS-06-1 . - Asian Institute of Technology. Thesis ; no. RS-06-1 .
A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering
Thesis (M.Eng.) - Asian Institute of Technology, 2006
Xin Man district in the South west Ha Giang has high landslide hazard. However, the available information on landslide in Xin Man district is still limited. We constructed the essential spatial database of landslides using GIS techniques. The quantitative relationships between landslides and factors affecting landslides are established by the Certainty Factor (CF). The affecting factors such as slope, elevation, landcover, geology, road distance, lineament distance, drainage density are recognized. By applying CF value integration and landslide zonation, the most significant affecting factors are selected. By using RS&GIS technology landslide occurrences on all these factors have been analyzed. The vector based GIS has been used for digitizing to produce thematic maps, as analysis for study was based on the pixel based information therefore Raster based GIS has been used for the analysis. Pixel based calculation was made by using the CF value Model. By using the CF model we obtain the CF value for all classes al all factor maps. On the basis of these CF value all factor maps are recoded and matrix analysis was perform to produce a Landslide I-hzard Zonation map. The Landslide Hazard Zonation map has been applied to develop a methodology to produce hazard maps considering the behavior of landslide and to evaluate potential damage to infrastructure specific road system. Different factors have been considered for this study
Geographic information systems--Vietnam
Landslide hazard analysis--Vietnam
Risk assessment--Vietnam
Roads--Remote sensing--Vietnam
Landslide hazard and risk assessment for road network using RS and GIS : a case study of Xin Man District, Viet Nam - Pathum Thani, Thailand : Asian Institute of Technology, 2006 - 89 leaves : ill. - Thesis; no. RS-06-1 . - Asian Institute of Technology. Thesis ; no. RS-06-1 .
A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering
Thesis (M.Eng.) - Asian Institute of Technology, 2006
Xin Man district in the South west Ha Giang has high landslide hazard. However, the available information on landslide in Xin Man district is still limited. We constructed the essential spatial database of landslides using GIS techniques. The quantitative relationships between landslides and factors affecting landslides are established by the Certainty Factor (CF). The affecting factors such as slope, elevation, landcover, geology, road distance, lineament distance, drainage density are recognized. By applying CF value integration and landslide zonation, the most significant affecting factors are selected. By using RS&GIS technology landslide occurrences on all these factors have been analyzed. The vector based GIS has been used for digitizing to produce thematic maps, as analysis for study was based on the pixel based information therefore Raster based GIS has been used for the analysis. Pixel based calculation was made by using the CF value Model. By using the CF model we obtain the CF value for all classes al all factor maps. On the basis of these CF value all factor maps are recoded and matrix analysis was perform to produce a Landslide I-hzard Zonation map. The Landslide Hazard Zonation map has been applied to develop a methodology to produce hazard maps considering the behavior of landslide and to evaluate potential damage to infrastructure specific road system. Different factors have been considered for this study
Geographic information systems--Vietnam
Landslide hazard analysis--Vietnam
Risk assessment--Vietnam
Roads--Remote sensing--Vietnam