NDLI: China’s regional rainstorm floods disaster evaluation based on grey incidence multiple-attribute decision model

Content Provider	Springer Nature Link
Author	He, Yuanyuan Gong, Zaiwu
Copyright Year	2013
Abstract	This paper deals with the problem of the estimation of rainstorm floods disaster. Based on the relevant historical disaster data of Yearbook of Meteorological Disasters in China (2005–2010), the initial disaster data of 31 provinces, municipalities and autonomous regions in mainland China (Hong Kong, Macao and Taiwan excluded) are processed into evaluation indices values. And then, the incidence degrees of disaster data are calculated. The disaster situation of rainstorm floods disaster for each region in mainland China from 2004 to 2009 is estimated by applied the grey incidence decision model of the dynamic multiple attribute. Simultaneously, the comprehensive quantitative assessment of the rainstorm and flood disaster of each region in mainland China nearly 6 years is conducted. According to the assessment results of 2004–2009 torrential rain and flood disaster in Chinese mainland, the level division of disaster loss is investigated. And the disaster loss of mainland China’s 31 provinces, municipalities and autonomous regions is divided into five levels in which the national flood disaster situation zoning maps are constructed. The results demonstrate that the evaluation method of rainstorm floods disaster is practical and effective.
Starting Page	1125
Ending Page	1144
Page Count	20
File Format	PDF
ISSN	0921030X
Journal	Natural Hazards
Volume Number	71
Issue Number	2
e-ISSN	15730840
Language	English
Publisher	Springer Netherlands
Publisher Date	2013-04-03
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Evaluation Rainstorm flood disaster Incidence degree Grey incidence decision model Natural Hazards Hydrogeology Geophysics/Geodesy Geotechnical Engineering & Applied Earth Sciences Civil Engineering Environmental Management
Content Type	Text
Resource Type	Article
Subject	Atmospheric Science Water Science and Technology

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

China’s regional meteorological disaster loss analysis and evaluation based on grey cluster model

The comprehensive risk evaluation on rainstorm and flood disaster losses in China mainland from 2004 to 2009: based on the triangular gray correlation theory

Highway flood disaster risk evaluation and management in China

Flood hazard assessment for extreme flood events

Decision support system based on the history of flood and flash flood events in Romania

Default risk-based probabilistic decision model for risk management and control

Using provincial baseline indicators to model geographic variations of disaster resilience in Thailand

Flood risk assessment using regional regression analysis

Medium-scale natural disaster risk scenario analysis: a case study of Pingyang County, Wenzhou, China

China’s regional rainstorm floods disaster evaluation based on grey incidence multiple-attribute decision model

Similar Documents

China’s regional meteorological disaster loss analysis and evaluation based on grey cluster model

The comprehensive risk evaluation on rainstorm and flood disaster losses in China mainland from 2004 to 2009: based on the triangular gray correlation theory

Highway flood disaster risk evaluation and management in China

Flood hazard assessment for extreme flood events

Decision support system based on the history of flood and flash flood events in Romania

Default risk-based probabilistic decision model for risk management and control

Using provincial baseline indicators to model geographic variations of disaster resilience in Thailand

Flood risk assessment using regional regression analysis

Medium-scale natural disaster risk scenario analysis: a case study of Pingyang County, Wenzhou, China

China’s regional rainstorm floods disaster evaluation based on grey incidence multiple-attribute decision model