Research on fine Spatial Quantitative Model about vulnerability of hazard-affected bodies

The seriousness of losses caused by disaster dependent on the hazard degree of environment, vulnerability of hazard-affected bodies, and emergency response capacity of the region is studied in this article. The study on hazard-affected bodies is of importance to disaster risk management, regional ha...

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Published inInternational journal of digital earth Vol. 3; no. 4; pp. 395 - 405
Main Authors Bin, Zhang, Hongyong, Yuan, Quanyi, Huang, Renqiang, Wen, Junqiang, Gu
Format Journal Article
LanguageEnglish
Published Abingdon Taylor & Francis Group 01.12.2010
Taylor & Francis Ltd
Subjects
digital earth
emergency
fine Spatial Quantitative Model
GIS
Studies
vulnerability of hazard-affected bodies
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Abstract The seriousness of losses caused by disaster dependent on the hazard degree of environment, vulnerability of hazard-affected bodies, and emergency response capacity of the region is studied in this article. The study on hazard-affected bodies is of importance to disaster risk management, regional hazard prevention, reduction, and investment in disaster insurance. With summarizing of various assessment methods of vulnerability of hazard-affected bodies, this paper presents a refined Spatial Quantification Model of regional vulnerability which combines refined spatial geographic data and land-use type data. A quantitative study on regional vulnerability was carried out by defining fine spatial grid as the basic evaluation unit based on GIS.
AbstractList The seriousness of losses caused by disaster dependent on the hazard degree of environment, vulnerability of hazard-affected bodies, and emergency response capacity of the region is studied in this article. The study on hazard-affected bodies is of importance to disaster risk management, regional hazard prevention, reduction, and investment in disaster insurance. With summarizing of various assessment methods of vulnerability of hazard-affected bodies, this paper presents a refined Spatial Quantification Model of regional vulnerability which combines refined spatial geographic data and land-use type data. A quantitative study on regional vulnerability was carried out by defining fine spatial grid as the basic evaluation unit based on GIS.
Author Junqiang, Gu
Quanyi, Huang
Renqiang, Wen
Bin, Zhang
Hongyong, Yuan
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CitedBy_id crossref_primary_10_4102_jamba_v11i1_447
crossref_primary_10_1016_j_scs_2023_104467
crossref_primary_10_5194_nhess_16_1123_2016
crossref_primary_10_1002_hyp_14771
Cites_doi 10.1016/j.gloenvcha.2004.01.001
10.1016/j.apgeog.2005.07.002
10.1111/1540-6237.8402002
10.1016/j.jag.2005.06.011
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Alexander D. (CIT0001) 1993
Chen G. (CIT0003) 2008; 8
Moss R.H. (CIT0008) 2002
Shi P. (CIT0012) 2002; 11
Bo L. (CIT0002) 2008
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SubjectTerms digital earth
emergency
fine Spatial Quantitative Model
GIS
Studies
vulnerability of hazard-affected bodies
Title Research on fine Spatial Quantitative Model about vulnerability of hazard-affected bodies
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