Journal metrics

Journal metrics

  • IF value: 2.281 IF 2.281
  • IF 5-year value: 2.693 IF 5-year 2.693
  • CiteScore value: 2.43 CiteScore 2.43
  • SNIP value: 1.193 SNIP 1.193
  • SJR value: 0.965 SJR 0.965
  • IPP value: 2.31 IPP 2.31
  • h5-index value: 40 h5-index 40
  • Scimago H index value: 73 Scimago H index 73
Discussion papers | Copyright
https://doi.org/10.5194/nhess-2016-114
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 14 Apr 2016

Research article | 14 Apr 2016

Review status
This discussion paper is a preprint. It has been under review for the journal Natural Hazards and Earth System Sciences (NHESS). The manuscript was not accepted for further review after discussion.

Linking local vulnerability assessments to climatic hazard losses for river basin management

Hung-Chih Hung1, Yi-Chung Liu1, and Sung-Ying Chien2 Hung-Chih Hung et al.
  • 1Department of Real Estate and Built Environment, National Taipei University, New Taipei City, 23741, Taiwan
  • 2National Science and Technology Center for Disaster Reduction, New Taipei City, 23143, Taiwan

Abstract. To prepare for the potential impact of climate change and related hazards, many countries have implemented integrated river basin management programs. This has led to significant challenges for local authorities to improve their understanding of how the vulnerability factors are linked to losses in climatic disaster. This article aims to examine whether highly vulnerable areas experience significantly more damage at the river basin levels due to weather extreme events, and investigates the vulnerability and hazard impact factors determine losses in a disaster. Using three river basins in southern Taiwan that were seriously affected by Typhoon Morakot in 2009 as case studies, a novel methodology is proposed that combines a geographical information system (GIS) and a multicriteria decision analysis (MCDA) to evaluate and map composite vulnerability to climatic hazards across river basins. The linkages between the hazard impacts, vulnerability factors and disaster losses are then tested using a disaster damage model (DDM). The results of the vulnerability assessments demonstrate that almost all of the most vulnerable areas are situated in the regions of the middle, and upper reaches and some coastlines of the river basins. The losses and casualties due to typhoon are significantly affected by local vulnerability contexts and hazard impact factors. Finally, policy implications to minimize vulnerability and risk and for integrated river basin governance are suggested.

Download & links
Hung-Chih Hung et al.
Interactive discussion
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
Interactive discussion
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
Hung-Chih Hung et al.
Hung-Chih Hung et al.
Viewed
Total article views: 555 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
373 158 24 555 11 23
  • HTML: 373
  • PDF: 158
  • XML: 24
  • Total: 555
  • BibTeX: 11
  • EndNote: 23
Views and downloads (calculated since 14 Apr 2016)
Cumulative views and downloads (calculated since 14 Apr 2016)
Cited
Saved
No saved metrics found.
Discussed
No discussed metrics found.
Latest update: 16 Jul 2018
Publications Copernicus
Special issue
Download
Short summary
The impacts of climate change and related hazards have led to a challenge for local authorities to improve their understanding of the linkage between vulnerability and disaster losses. A novel methodology is proposed to evaluate and map vulnerability to climatic hazards across river basins. The linkages between the hazard impact, vulnerability factors and disaster losses are also tested. The findings show that both hazard impact and vulnerability factors are strong predictors of disaster losses.
The impacts of climate change and related hazards have led to a challenge for local authorities...
Citation
Share