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The dataset of risk assessment of ice-snow disaster in southern China

Risk assessment of ice-snow disaster contributed to understand the probability and spatial distribution of that, which was of great significance for disaster prevention and reduction work. In this dataset, five indicator factors including daily average temperature, daily average precipitation, elevation, slope direction, and slope were selected to participate in the assessment work. The expert knowledge score method was used to determine the weights of the four indicators of precipitation, elevation, slope, and aspect. The average temperature was regarded as the most critical factor, which decided whether the area suffered from ice-snow disaster. The risk assessment value of ice-snow disaster was calculated, which was normalized. The dataset could be used for post-disaster related research.

Data format
Tif
Subject
Geography
Data Level
Rough
Data time series
No
temperal
Modern times
spatial
Region
resolution
Low
Country ID
CN
Data Size
77.7 MB MB
Contributor Name
Wang xuecheng
Contributor Email
wangxc.15s@igsnrr.ac.cn
Contributor Agency
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
Creation time
2018.5.20
Resplnst Name
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
RespInst Address
A11 Datun Road, Chaoyang District, Beijing
RespInst Postcode
100101
ResPerson Name
Service group of Disaster Risk Reduction Knowledge Service System of IKCEST
ResPerson Email
ikcest-drr@lreis.ac.cn
ResPerson Telephone
010-64889048-8006
Update Frequency
Irregular updates
Version
1
Data Citation
The dataset of risk assessment of ice-snow disaster in southern China. Disaster Risk Reduction Knowledge Service of International Knowledge Centre for Engineering Sciences and Technology (IKCEST) under the Auspices of UNESCO,2018.5.20.http://drr.ikcest.org/info/993ab.
Last Modified
2018.5.20
Organization
Institute of geographic sciences and natural resources research, CAS.
Accessconstraints
Fully shared
Time Begin
2008/1/10
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