Research on Multi-Hazard Risk Management Framework for Coastal City

Abstract:

Coastal cities have to face many kinds of natural hazards, which always interact with each other, leading to many losses. And rapid development makes city system too complicated to manage for reducing casualties and economic loss. In order to solve the problems in multi-hazard risk management of coastal cities, this paper attemptted to build a new framework based on historical data and hazard-chain theory, and studied the disaster network with the center of typhoon and earthquake. The framework contains a four-dimensional network composed of factor, hazard, event and vulnerability, and related by risk evaluation, chain probability and losses estimation models. The risk analysis for the network was proposed for estimate the influence over the city, aimed at more effective suggestions of planning and disaster reduction.

• Periodical: Applied Mechanics and Materials (Volumes 501-504)
• Pages: 2360-2364
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.501-504.2360
• Online since: January 2014
• Authors: Chun Yan Zhao*, Yin Bang Wang, Qi Min Feng, Ming Qiong Liu
• Keywords: Coastal City, Earthquake, GIS, Multi-Hazard, Risk Management (RM), Typhoon

References

[1] Shengxie Xiao. Disaster chain theory and application. Science publishing company. 2006, 29-51. In Chinese.

[2] Huiying Gao, Shanjun Mo, Tianen Chen. The research of Qingdao sea condition and marine disaster emergency information system. Journal of natural disaster. 2004, 4(13): 87-92. In Chinese.

[3] Quantitative Challenges of analyzing multi-hazard risk: a review. Nat Hazards 2012(64): 1925-(1958).

[4] Jochen Schmidt et al. Quantitative multi-risk analysis for natural hazards: a framework for multi-risk modelling, Nat Hazards, 2011(58): 1169-1192.

DOI: 10.1007/s11069-011-9721-z

[5] Hai Sun， Qimin Feng， Junjie Wang. Research on integrated disaster evaluation information system for cities based on WebGIS. Journal of natural disaster. 2013, 22(2): 7-12. In Chinese.

[6] T. De Pippo et al. Coastal hazard assessment and mapping in Northern Campania, Italy. Geomorphology 97(2008)451–466.

DOI: 10.1016/j.geomorph.2007.08.015

[7] Hall, T. M. and Jewson, S. Statistical modeling of North Atlantic tropical cyclone tracks. Tellus, (2007)59.

DOI: 10.1111/j.1600-0870.2007.00240.x

[8] Dilley M, Chen R. S, Deiehmann U , et al. Natural Disaster Hotspots: A global Risk Analysis Synthesis Report. Hazard Management Unit, World Bank, 2005: l一132.

[9] BGR, Desdm (2009) Guidebook for assessing the risks to natural hazards—case study: Province of Central Java. Tech. rep, Bundesanstalt fur Geowissenschaften und Rohstoffe and the Geological Agency of Indonesia.

[10] Shi P, Du J, JI M, et al. Urban Risk Assessment Researeh of Major Natural Disasters in China. Advances in Earth Science, 2006, 21(2): 170一177.