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| Titel |
A relative vulnerability estimation of flood disaster using data envelopment analysis in the Dongting Lake region of Hunan |
| VerfasserIn |
C.-H. Li, N. Li, L.-C. Wu, A.-J. Hu |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1561-8633
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| Digitales Dokument |
URL |
| Erschienen |
In: Natural Hazards and Earth System Science ; 13, no. 7 ; Nr. 13, no. 7 (2013-07-04), S.1723-1734 |
| Datensatznummer |
250018549
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| Publikation (Nr.) |
 copernicus.org/nhess-13-1723-2013.pdf |
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| Zusammenfassung |
The vulnerability to flood disaster is addressed by a number
of studies. It is of great importance to analyze the vulnerability of
different regions and various periods to enable the government to make
policies for distributing relief funds and help the regions to improve their
capabilities against disasters, yet a recognized paradigm for such studies
seems missing. Vulnerability is defined and evaluated through either physical
or economic–ecological perspectives depending on the field of the researcher
concerned. The vulnerability, however, is the core of both systems as it
entails systematic descriptions of flood severities or disaster management
units. The research mentioned often has a development perspective, and in
this article we decompose the overall flood system into several factors:
disaster driver, disaster environment, disaster bearer, and disaster
intensity, and take the interaction mechanism among all factors as an
indispensable function. The conditions of flood disaster components are
demonstrated with disaster driver risk level, disaster environment stability
level and disaster bearer sensitivity, respectively. The flood system
vulnerability is expressed as vulnerability = f(risk, stability,
sensitivity). Based on the theory, data envelopment analysis method (DEA) is
used to detail the relative vulnerability's spatiotemporal variation of a
flood disaster system and its components in the Dongting Lake region.
The study finds that although a flood disaster system's relative
vulnerability is closely associated with its components' conditions, the
flood system and its components have a different vulnerability level. The
overall vulnerability is not the aggregation of its components'
vulnerability. On a spatial scale, zones central and adjacent to Dongting
Lake and/or river zones are characterized with very high vulnerability. Zones
with low and very low vulnerability are mainly distributed in the periphery
of the Dongting Lake region. On a temporal scale, the occurrence of a
vibrating flood vulnerability trend is observed. A different picture is
displayed with the disaster driver risk level, disaster environment stability
level and disaster bearer sensitivity level.
The flood relative vulnerability estimation method based on DEA is
characteristic of good comparability, which takes the relative efficiency of
disaster system input–output into account, and portrays a very diverse but
consistent picture with varying time steps. Therefore, among different
spatial and time domains, we could compare the disaster situations with what
was reflected by the same disaster. Additionally, the method overcomes the
subjectivity of a comprehensive flood index caused by using an a priori
weighting system, which exists in disaster vulnerability estimation of
current disasters. |
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