DocumentCode
2714030
Title
Multi-scale coupling and application of natural disaster risk analysis
Author
Liu, Yaolong ; Chen, Zhenlou ; Wang, Jun ; Ye, Mingwu ; Xu, Shiyuan
Author_Institution
Key Lab. of Geographic Inf. Sci., East China Normal Univ., Shanghai, China
fYear
2011
fDate
24-26 June 2011
Firstpage
1
Lastpage
5
Abstract
Differences in spatial scale appear in expression of natural disaster risk. The large-scale region spans up to global level, regional (continental) level, watershed level of major rivers, the natural regional and national level. Grasping the principle of “good order, reasonable distribution”, the expression of disaster risk map focuses on regional risk general trends and macroeconomic situation. The meso-scale regions contain natural areas, sub-districts, the provinces, cities, regions of administrative division. Risk zoning services are for the regional long-term disaster prevention and mitigation planning. It also provides accurate background parameters for small-scale disaster risk assessment. The small-scale regions include natural state, the district, county, town, village, streets and communities of the administrative divisions. The risk characterization of affected areas is to improve the accuracy of vulnerability assessment. It is also provide technical methods for disaster risk assessment.
Keywords
disasters; geographic information systems; public administration; risk analysis; disaster risk map; macroeconomic situation; mesoscale regions; mitigation planning; multiscale coupling; natural disaster risk analysis; regional long-term disaster prevention; regional risk general trends; risk zoning services; rivers; small-scale disaster risk assessment; watershed level; Accuracy; Cities and towns; Communities; Floods; Risk management; Storms; Typhoons; Multi-scale; coupling & application; natural disaster; risk analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoinformatics, 2011 19th International Conference on
Conference_Location
Shanghai
ISSN
2161-024X
Print_ISBN
978-1-61284-849-5
Type
conf
DOI
10.1109/GeoInformatics.2011.5981151
Filename
5981151
Link To Document