| With the GIS development, GIS application in various industries gradually becomein-depth,geospatial analysis become the best choice for a lot of issues solutions, and GISsoftware show perfectly spatial analysis algorithms, to promote the rapid development ofGIS applications. In recent years, in the context of disasters, disaster risk zoning analysisgain more and more attention, disaster risk classification model construction and analysisbase on GIS have gradually replaced the traditional statistical methods. In particular,indicators of risk zoning analysis described by raster GIS data more precise, In addition,using of thematic maps to show the results of the final risk zoning analysis, more detaileddescribe the disaster risk level of the different regions of the experimental zone.With the establishment of the organization of the OSI (Open Source Foundation) andthe Open Source Geospatial (Open Source Geospatial Foundation), the open source matureproduct launches, as well as the formulation of the OGC and other GIS standards, opensource GIS accompanied by the open source philosophy become the hot field of GIShotfields of study. The desktop, web, database and other open source GIS software in theGIS application stage to flex its muscles, and because it‘s the full support of GIS standards,cross-platform, highly scalable, open source and other characteristics, produce the powerof innovation concept in the field of GIS. Currently, the GIS-based disaster risk zoninganalysis choose the mature GIS platform or secondary development platform, the softwarecosts too high and GIS specialized requirements of high relative to the traditional methodof disaster risk assessment. This article select open source GIS software as the technicalsupport of Risk Zonation, From the core purpose of the disaster risk assessment, basedon investigate of the basic process of the disaster risk formation mechanism and riskzonation analysis, Introduction of open source GIS software infrastructure to supportdisaster risk zoning experimental analysis.This paper research includes two closely linked the main line, namely open sourceGIS and disaster risk assessment. Disaster risk zoning analysis is the application practice ofopen source GIS analysis, but the open source GIS is technical support of disaster riskanalysis. This article, for the disaster risk zoning analysis, explored to build disaster risk assessment model based on open source GIS, remote sensing land-use informationextraction, the geographic model calculation, thematic map production, databasemanagement and web publishing., Involving several open source achievementsthe,likeQGIS, ILWIS software, uDig, GeoServer and Openlayer, In addition, based on the Pythonlanguage, Blend the GEOS, GDAL/OGR, and other components to build QGIS RiskZonation plug-in. The purpose of these work is that provide the higher practicality analysistools for disaster risk zoning,base on the highly scalable characteristics of open sourcesoftware. |