Study on Integrated Spatial Database for Composite Urban Disaster Risk Assessment

Ling Yan Kong; Ying Chun Tao; Jing Liu; Ai Hua Wu

doi:10.4028/www.scientific.net/AMM.738-739.285

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 738-739Study on Integrated Spatial Database for Composite...

Study on Integrated Spatial Database for Composite Urban Disaster Risk Assessment

Abstract:

In the research of urban disaster risk assessment, data is the most basic element. Accurate, comprehensive, high quality data is essential to ensure the accuracy of disaster analysis and disaster risk classification. The systematic methods of data acquisition, processing and management and analysis need to be studied. In this paper, based on the analysis of characteristics of urban-disasters composite risk assessment data, the risk assessment database is designed. According to processing phase, the database is divided into four sub-databases: gathering database, general database, study area database and history database. The logic design for all the databases are discussed. The updating mechanism is built for the database and continuance updating is realized.

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Periodical:

Applied Mechanics and Materials (Volumes 738-739)

Pages:

285-288

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.738-739.285

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Online since:

March 2015

Authors:

Ling Yan Kong, Ying Chun Tao*, Jing Liu, Ai Hua Wu

Keywords:

Composite Risk Assessment, Data Integration, Spatial Database, Urban Disaster

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* - Corresponding Author

References

[1] Li H, Zhang P Y and Chen Y Q: submitted to J. Progress in geography (2008). In Chinese.

Google Scholar

[2] Gai C C, Weng W G and Yuan H Y: submitted to J. JTsinghuaUniv(Sci&Tech), (2011). In Chinese.

Google Scholar

[3] Huang C F: submitted to J. Journal of basic science and engineering, (2008). In Chinese.

Google Scholar

[4] Ai T H and He J H: submitted to J. Geomatics World (2009). In Chinese.

Google Scholar

[5] Jie Y, Zhang Y, Xu S Y, Jun W and Zhong H D: submitted to Chinese Perspective on Risk Analysis and Crisis Response conference (2011). In Chinese.

Google Scholar

[6] Pan X H, Jia T F, Wen J H and Yan J P submitted to J. J. of Institute of Disaster-Prevention Science and Technology (2009). In Chinese.

Google Scholar

[7] Information on http: /www. fema. gov/hazus.

Google Scholar

[8] Shi Y, Research on vulnerability assessment of cities on the disaster seenario—a case study of shanghai city, Shanghai: East China Normal University Press, p.20(2010). In Chinese.

Google Scholar

[9] Tang L L, Study on the risk assessment of typhoon based on GIS, Beijing: Capital Normal University Preass, p.16(2011). In Chinese.

Google Scholar

[10] Yin Z, Research of urban natural disatster risk assessment and case study, Shanghai: East China Normal University, p.35(2009) . In Chinese.

Google Scholar