Torrent risk zonation in the Upstream Red River Basin based on GIS

This paper explores the methodology for compiling the torrent hazard and risk zonation map by means of GIS technique for the Red River Basin in Yunnan province of China, where is prone to torrent. Based on a 1：250,000 scale digital map, six factors including slope angle, rainstorm days, buffer of river channels, maximum runoff discharge of standard area, debris flow distribution density and flood disaster history were analyzed and superimposed to create the torrent risk evaluation map. Population density, farmland percentage, house property, and GDP as indexes accounting for torrent hazards were analyzed in terms of vulnerability mapping. Torrent risk zonation by means of GIS was overlaid on the two data layers of hazard and vulnerability. Then each grid unit with a resolution of 500 m- 500 m was divided into four categories of the risk： extremely high, high, moderate and low. Finally the same level risk was combined into a confirmed zone, which represents torrent risk of the study area. The risk evaluation result in the upper Red River Basin shows that the extremely high risk area of 13,150 km^2 takes up 17.9% of the total inundated area, the high risk area of 33,783 km^2 is 45.9%, the moderate risk area of 18,563 km^2 is 25.2% and the low risk area of 8115 km^2 is 11.0%.

Assessment and Risk Zonation of Landslides in Panxi Area Based on 3S Technology

Based on field survey located by GPS, it is obtained landslides＇ location and distribution information by the method of remote sensing in this paper. The vector data of environmental factors that breed and induce landslides such as the elevation, the slope, the vegetation cover, the lithology, the rainfall and so on are gained using GIS（geographical information system） techniques of spatial analysis. All the data obtained are managed through building landslide management system. At the same time, the system is made the platform to appraise the relationship between the distribution of landslides and the environmental factors. The results indicate： landslides take place relatively easily in the slope range between 10° and 25°; most landslides are in the mixed area of bush and grass with a coverage degree of from 20° to 65°; the distribution of landslides has a positive relationship with the distribution of annual rainfall. The risk degree of Panxi Area is zoned and mapped by the model of liner stack using GIS technique, and the result indicates： the place of high risk degree is the belt of Panzhihua-Miyi-Dechang-Mugu and southeast of Huili county and Huidong county,and area is about 512 707 hm^2.

GIS-based Risk Zonation of Rainstorm Disaster in Guizhou Province

[Objective] This paper aimed to study the risk zoning of rainstorm in Guizhou based on GIS. [Method] Taking Guizhou as study area, 1 km×1 km grid data as evaluation unit, and by dint of daily precipitation in meteorological station in Guizhou from 1961 to 2008, the rainstorm risk zoning system was constructed from the aspects of disaster-stricken dangers, suffering flexibility, disaster environment sensitivity and disaster prevention or mitigation; based on the level analysis method to determine factor weight, the risk assessment model based on GIS was set up to evaluate the four sub-indicators and risks and to get the rainstorm disaster in Guizhou in the end. [Result] The risk assessment and zonation results showed a general trend that the risk level decreased from the central to all around. The low risk area distributed in the northwest of Guizhou province because of less heavy rains and high capacity of rainstorm disaster resistant, while high risk area mainly distributed in the west-central of Guizhou due to concentration rainstorms, large terrain undulation and low coverage rate of forest. Especially, according to Anshun, the high risk area took up 98.02% of the city, and the Gangwu County, where a super-large geological disaster concurred in 2010 is located at the high risk area, which showed that the risk assessment coincided with the actual situation. [Conclusion] The study provided theoretical basis for the macro disaster prevention and disaster mitigation plan.

Forest fire risk assessment in parts of Northeast India using geospatial tools

Forest fire is a major cause of changes in forest structure and function. Among various floristic regions, the northeast region of India suffers maximum from the fires due to age-old practice of shifting cultivation and spread of fires from jhum fields. For proper mitigation and management, an early warning of forest fires through risk modeling is required. The study results demonstrate the potential use of remote sensing and Geographic Information System （GIS） in identifying forest fire prone areas in Manipur, southeastern part of Northeast India. Land use land cover （LULC）, vegetation type, Digital elevation model （DEM）, slope, aspect and proximity to roads and settlements, factors that influence the behavior of fire, were used to model the forest fire risk zones. Each class of the layers was given weight according to their fire inducing capability and their sensitivity to fire. Weighted sum modeling and ISODATA clustering was used to classify the fire zones. TO validate the results, Along Track Scanning Radiometer （ATSR）, the historical fire hotspots data was used to check the occurrence points and modeled forest fire locations. The forest risk zone map has 55-63% of agreement with ATSR dataset.