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<!DOCTYPE article SYSTEM "http://www.nat-hazards-earth-syst-sci.net/inc/nhess/copernicus.dtd">
<article language="en">
	<journal>
		<journal_title>Natural Hazards and Earth System Science</journal_title>
		<journal_url>www.nat-hazards-earth-syst-sci.net</journal_url>
		<issn>1561-8633</issn>
		<eissn>1684-9981</eissn>
		<volume_number>6</volume_number>
		<issue_number>1</issue_number>
		<publication_year>2006</publication_year>
	</journal>
	<doi>10.5194/nhess-6-49-2006</doi>
	<article_url>http://www.nat-hazards-earth-syst-sci.net/6/49/2006/</article_url>
	<abstract_html>http://www.nat-hazards-earth-syst-sci.net/6/49/2006/nhess-6-49-2006.html</abstract_html>
	<fulltext_pdf>http://www.nat-hazards-earth-syst-sci.net/6/49/2006/nhess-6-49-2006.pdf</fulltext_pdf>
	<start_page>49</start_page>
	<end_page>54</end_page>
	<publication_date>2006-01-13</publication_date>
	<article_title content_type="html">Vulnerability of Russian regions to natural risk: experience of quantitative assessment</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>E. Petrova</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Faculty of Geography, Research Laboratory of Snow Avalanches and Debris-flow, Lomonosov Moscow State University, 119992 Moscow, Russia</affiliation>
	</affiliations>
	<abstract content_type="html">One of the important tracks leading to natural risk prevention, disaster
mitigation or the reduction of losses due to natural hazards is the
vulnerability assessment of an &quot;at-risk&quot; region. The majority of
researchers propose to assess vulnerability according to an expert
evaluation of several qualitative characteristics, scoring each of them
usually using three ratings: low, average, and high. Unlike these
investigations, we attempted a quantitative vulnerability assessment using
multidimensional statistical methods. Cluster analysis for all 89 Russian
regions revealed five different types of region, which are characterized
with a single (rarely two) prevailing factor causing increase of
vulnerability. These factors are: the sensitivity of the technosphere to
unfavorable influences; a &quot;human factor&quot;; a high volume of stored toxic
waste that increases possibility of NDs with serious consequences; the low
per capita GRP, which determine reduced prevention and protection costs; the
heightened liability of regions to natural disasters that can be complicated
due to unfavorable social processes. The proposed methods permitted us to
find differences in prevailing risk factor (vulnerability factor) for the
region types that helps to show in which direction risk management should
focus on.</abstract>
	<references>
	</references>
</article>

