Socioeconomic scenarios and flood damage assessment methodologies for the Taihu Basin, China
Identifieur interne : 000C40 ( Istex/Corpus ); précédent : 000C39; suivant : 000C41Socioeconomic scenarios and flood damage assessment methodologies for the Taihu Basin, China
Auteurs : E. C. Penning-Rowsell ; W. Yanyan ; A. R. Watkinson ; J. Jiang ; C. ThorneSource :
- Journal of Flood Risk Management [ 1753-318X ] ; 2013-03.
Abstract
The assessment of flood risk is now widely recognised to need research and data on both the probability and the consequences of flooding; the research reported here concentrates on the latter data input. Building on the UK Foresight Future Flooding project, this paper describes the development of future scenarios through which to assess possible future flood risk in the Taihu Basin area of China. In addition, we describe the flood damage assessment model that was developed there to build on these scenarios so as to calculate anticipated risk. Acknowledged methodological limitations remain, but some important developments have resulted. First, the pre‐existing flood loss data that were available from Shanghai meant that this aspect of the risk model's input was more regionally appropriate than would otherwise have been the case. Second, the damage assessment has been related both to constructed scenarios and to an agreed National Plan, so that the two can be compared. Third, the scenario construction was linked in Taihu to the statistical base contained in the 2006 Yearbook and the Fifth National Socio‐economic Survey data, giving a sounder ‘base case’ of current flood vulnerability than used in the UK Foresight Future Flooding project. Finally, much more attention was given here to agricultural production and flood risk, given the importance of agriculture in the Chinese economy and its focus on food production for a growing population.
Url:
DOI: 10.1111/j.1753-318X.2012.01168.x
Links to Exploration step
ISTEX:3B648816B7119F3E7E6B72AA8CD09E77DA74BB6CLe document en format XML
<record><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title xml:lang="en">Socioeconomic scenarios and flood damage assessment methodologies for the Taihu Basin, China</title>
<author><name sortKey="Penning Owsell, E C" sort="Penning Owsell, E C" uniqKey="Penning Owsell E" first="E. C." last="Penning-Rowsell">E. C. Penning-Rowsell</name>
<affiliation><mods:affiliation>Flood Hazard Research Centre, Middlesex University, London, UK</mods:affiliation>
</affiliation>
<affiliation><mods:affiliation>Edmund C. Penning‐Rowsell, Flood Hazard Research Centre, Middlesex University, The Burroughs, London NW4, UKEmail:</mods:affiliation>
</affiliation>
<affiliation><mods:affiliation>E-mail: edmund@penningrowsell.com</mods:affiliation>
</affiliation>
</author>
<author><name sortKey="Yanyan, W" sort="Yanyan, W" uniqKey="Yanyan W" first="W." last="Yanyan">W. Yanyan</name>
<affiliation><mods:affiliation>China Institute of Water Resources and Hydropower Research, Beijing, China</mods:affiliation>
</affiliation>
</author>
<author><name sortKey="Watkinson, A R" sort="Watkinson, A R" uniqKey="Watkinson A" first="A. R." last="Watkinson">A. R. Watkinson</name>
<affiliation><mods:affiliation>School of Environmental Sciences, University of East Anglia, Norwich, UK</mods:affiliation>
</affiliation>
</author>
<author><name sortKey="Jiang, J" sort="Jiang, J" uniqKey="Jiang J" first="J." last="Jiang">J. Jiang</name>
<affiliation><mods:affiliation>Institute of Quantitative and Technical Economics, Chinese Academy of Social Sciences, Beijing, China</mods:affiliation>
</affiliation>
</author>
<author><name sortKey="Thorne, C" sort="Thorne, C" uniqKey="Thorne C" first="C." last="Thorne">C. Thorne</name>
<affiliation><mods:affiliation>Department of Geography, The University of Nottingham, Nottingham, UK</mods:affiliation>
</affiliation>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">ISTEX</idno>
<idno type="RBID">ISTEX:3B648816B7119F3E7E6B72AA8CD09E77DA74BB6C</idno>
<date when="2013" year="2013">2013</date>
<idno type="doi">10.1111/j.1753-318X.2012.01168.x</idno>
<idno type="url">https://api.istex.fr/document/3B648816B7119F3E7E6B72AA8CD09E77DA74BB6C/fulltext/pdf</idno>
<idno type="wicri:Area/Istex/Corpus">000C40</idno>
<idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Corpus" wicri:corpus="ISTEX">000C40</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">Socioeconomic scenarios and flood damage assessment methodologies for the Taihu Basin, China</title>
<author><name sortKey="Penning Owsell, E C" sort="Penning Owsell, E C" uniqKey="Penning Owsell E" first="E. C." last="Penning-Rowsell">E. C. Penning-Rowsell</name>
<affiliation><mods:affiliation>Flood Hazard Research Centre, Middlesex University, London, UK</mods:affiliation>
</affiliation>
<affiliation><mods:affiliation>Edmund C. Penning‐Rowsell, Flood Hazard Research Centre, Middlesex University, The Burroughs, London NW4, UKEmail:</mods:affiliation>
</affiliation>
<affiliation><mods:affiliation>E-mail: edmund@penningrowsell.com</mods:affiliation>
</affiliation>
</author>
<author><name sortKey="Yanyan, W" sort="Yanyan, W" uniqKey="Yanyan W" first="W." last="Yanyan">W. Yanyan</name>
<affiliation><mods:affiliation>China Institute of Water Resources and Hydropower Research, Beijing, China</mods:affiliation>
</affiliation>
</author>
<author><name sortKey="Watkinson, A R" sort="Watkinson, A R" uniqKey="Watkinson A" first="A. R." last="Watkinson">A. R. Watkinson</name>
<affiliation><mods:affiliation>School of Environmental Sciences, University of East Anglia, Norwich, UK</mods:affiliation>
</affiliation>
</author>
<author><name sortKey="Jiang, J" sort="Jiang, J" uniqKey="Jiang J" first="J." last="Jiang">J. Jiang</name>
<affiliation><mods:affiliation>Institute of Quantitative and Technical Economics, Chinese Academy of Social Sciences, Beijing, China</mods:affiliation>
</affiliation>
</author>
<author><name sortKey="Thorne, C" sort="Thorne, C" uniqKey="Thorne C" first="C." last="Thorne">C. Thorne</name>
<affiliation><mods:affiliation>Department of Geography, The University of Nottingham, Nottingham, UK</mods:affiliation>
</affiliation>
</author>
</analytic>
<monogr></monogr>
<series><title level="j">Journal of Flood Risk Management</title>
<title level="j" type="abbrev">J. Flood Risk Manage</title>
<idno type="ISSN">1753-318X</idno>
<idno type="eISSN">1753-318X</idno>
<imprint><publisher>Blackwell Publishing Ltd</publisher>
<date type="published" when="2013-03">2013-03</date>
<biblScope unit="volume">6</biblScope>
<biblScope unit="issue">1</biblScope>
<biblScope unit="page" from="23">23</biblScope>
<biblScope unit="page" to="32">32</biblScope>
</imprint>
<idno type="ISSN">1753-318X</idno>
</series>
<idno type="istex">3B648816B7119F3E7E6B72AA8CD09E77DA74BB6C</idno>
<idno type="DOI">10.1111/j.1753-318X.2012.01168.x</idno>
<idno type="ArticleID">JFR31168</idno>
</biblStruct>
</sourceDesc>
<seriesStmt><idno type="ISSN">1753-318X</idno>
</seriesStmt>
</fileDesc>
<profileDesc><textClass></textClass>
<langUsage><language ident="en">en</language>
</langUsage>
</profileDesc>
</teiHeader>
<front><div type="abstract">The assessment of flood risk is now widely recognised to need research and data on both the probability and the consequences of flooding; the research reported here concentrates on the latter data input. Building on the UK Foresight Future Flooding project, this paper describes the development of future scenarios through which to assess possible future flood risk in the Taihu Basin area of China. In addition, we describe the flood damage assessment model that was developed there to build on these scenarios so as to calculate anticipated risk. Acknowledged methodological limitations remain, but some important developments have resulted. First, the pre‐existing flood loss data that were available from Shanghai meant that this aspect of the risk model's input was more regionally appropriate than would otherwise have been the case. Second, the damage assessment has been related both to constructed scenarios and to an agreed National Plan, so that the two can be compared. Third, the scenario construction was linked in Taihu to the statistical base contained in the 2006 Yearbook and the Fifth National Socio‐economic Survey data, giving a sounder ‘base case’ of current flood vulnerability than used in the UK Foresight Future Flooding project. Finally, much more attention was given here to agricultural production and flood risk, given the importance of agriculture in the Chinese economy and its focus on food production for a growing population.</div>
</front>
</TEI>
<istex><corpusName>wiley</corpusName>
<author><json:item><name>E.C. Penning‐Rowsell</name>
<affiliations><json:string>Flood Hazard Research Centre, Middlesex University, London, UK</json:string>
<json:string>Edmund C. Penning‐Rowsell, Flood Hazard Research Centre, Middlesex University, The Burroughs, London NW4, UKEmail:</json:string>
<json:string>E-mail: edmund@penningrowsell.com</json:string>
</affiliations>
</json:item>
<json:item><name>W. Yanyan</name>
<affiliations><json:string>China Institute of Water Resources and Hydropower Research, Beijing, China</json:string>
</affiliations>
</json:item>
<json:item><name>A.R. Watkinson</name>
<affiliations><json:string>School of Environmental Sciences, University of East Anglia, Norwich, UK</json:string>
</affiliations>
</json:item>
<json:item><name>J. Jiang</name>
<affiliations><json:string>Institute of Quantitative and Technical Economics, Chinese Academy of Social Sciences, Beijing, China</json:string>
</affiliations>
</json:item>
<json:item><name>C. Thorne</name>
<affiliations><json:string>Department of Geography, The University of Nottingham, Nottingham, UK</json:string>
</affiliations>
</json:item>
</author>
<subject><json:item><lang><json:string>eng</json:string>
</lang>
<value>China</value>
</json:item>
<json:item><lang><json:string>eng</json:string>
</lang>
<value>flood damage</value>
</json:item>
<json:item><lang><json:string>eng</json:string>
</lang>
<value>flood risk</value>
</json:item>
<json:item><lang><json:string>eng</json:string>
</lang>
<value>scenario development</value>
</json:item>
</subject>
<articleId><json:string>JFR31168</json:string>
</articleId>
<language><json:string>eng</json:string>
</language>
<originalGenre><json:string>article</json:string>
</originalGenre>
<abstract>The assessment of flood risk is now widely recognised to need research and data on both the probability and the consequences of flooding; the research reported here concentrates on the latter data input. Building on the UK Foresight Future Flooding project, this paper describes the development of future scenarios through which to assess possible future flood risk in the Taihu Basin area of China. In addition, we describe the flood damage assessment model that was developed there to build on these scenarios so as to calculate anticipated risk. Acknowledged methodological limitations remain, but some important developments have resulted. First, the pre‐existing flood loss data that were available from Shanghai meant that this aspect of the risk model's input was more regionally appropriate than would otherwise have been the case. Second, the damage assessment has been related both to constructed scenarios and to an agreed National Plan, so that the two can be compared. Third, the scenario construction was linked in Taihu to the statistical base contained in the 2006 Yearbook and the Fifth National Socio‐economic Survey data, giving a sounder ‘base case’ of current flood vulnerability than used in the UK Foresight Future Flooding project. Finally, much more attention was given here to agricultural production and flood risk, given the importance of agriculture in the Chinese economy and its focus on food production for a growing population.</abstract>
<qualityIndicators><score>7.724</score>
<pdfVersion>1.3</pdfVersion>
<pdfPageSize>595.276 x 782.362 pts</pdfPageSize>
<refBibsNative>true</refBibsNative>
<abstractCharCount>1460</abstractCharCount>
<pdfWordCount>5690</pdfWordCount>
<pdfCharCount>34925</pdfCharCount>
<pdfPageCount>10</pdfPageCount>
<abstractWordCount>227</abstractWordCount>
</qualityIndicators>
<title>Socioeconomic scenarios and flood damage assessment methodologies for the Taihu Basin, China</title>
<genre><json:string>article</json:string>
</genre>
<host><volume>6</volume>
<publisherId><json:string>JFR3</json:string>
</publisherId>
<pages><total>10</total>
<last>32</last>
<first>23</first>
</pages>
<issn><json:string>1753-318X</json:string>
</issn>
<issue>1</issue>
<subject><json:item><value>Original Article</value>
</json:item>
</subject>
<genre><json:string>journal</json:string>
</genre>
<language><json:string>unknown</json:string>
</language>
<eissn><json:string>1753-318X</json:string>
</eissn>
<title>Journal of Flood Risk Management</title>
<doi><json:string>10.1111/(ISSN)1753-318X</json:string>
</doi>
</host>
<categories><wos><json:string>science</json:string>
<json:string>water resources</json:string>
<json:string>environmental sciences</json:string>
</wos>
<scienceMetrix></scienceMetrix>
</categories>
<publicationDate>2013</publicationDate>
<copyrightDate>2013</copyrightDate>
<doi><json:string>10.1111/j.1753-318X.2012.01168.x</json:string>
</doi>
<id>3B648816B7119F3E7E6B72AA8CD09E77DA74BB6C</id>
<score>0.036872588</score>
<fulltext><json:item><extension>pdf</extension>
<original>true</original>
<mimetype>application/pdf</mimetype>
<uri>https://api.istex.fr/document/3B648816B7119F3E7E6B72AA8CD09E77DA74BB6C/fulltext/pdf</uri>
</json:item>
<json:item><extension>zip</extension>
<original>false</original>
<mimetype>application/zip</mimetype>
<uri>https://api.istex.fr/document/3B648816B7119F3E7E6B72AA8CD09E77DA74BB6C/fulltext/zip</uri>
</json:item>
<istex:fulltextTEI uri="https://api.istex.fr/document/3B648816B7119F3E7E6B72AA8CD09E77DA74BB6C/fulltext/tei"><teiHeader><fileDesc><titleStmt><title level="a" type="main" xml:lang="en">Socioeconomic scenarios and flood damage assessment methodologies for the Taihu Basin, China</title>
</titleStmt>
<publicationStmt><authority>ISTEX</authority>
<publisher>Blackwell Publishing Ltd</publisher>
<availability><p>Copyright © 2013 The Chartered Institution of Water and Environmental Management (CIWEM)© 2012 Blackwell Publishing Ltd and The Chartered Institution of Water and Environmental Management (CIWEM)</p>
</availability>
<date>2012-09-18</date>
</publicationStmt>
<sourceDesc><biblStruct type="inbook"><analytic><title level="a" type="main" xml:lang="en">Socioeconomic scenarios and flood damage assessment methodologies for the Taihu Basin, China</title>
<author xml:id="author-1"><persName><forename type="first">E.C.</forename>
<surname>Penning‐Rowsell</surname>
</persName>
<email>edmund@penningrowsell.com</email>
<affiliation>Flood Hazard Research Centre, Middlesex University, London, UK</affiliation>
<affiliation>Edmund C. Penning‐Rowsell, Flood Hazard Research Centre, Middlesex University, The Burroughs, London NW4, UKEmail:</affiliation>
</author>
<author xml:id="author-2"><persName><forename type="first">W.</forename>
<surname>Yanyan</surname>
</persName>
<affiliation>China Institute of Water Resources and Hydropower Research, Beijing, China</affiliation>
</author>
<author xml:id="author-3"><persName><forename type="first">A.R.</forename>
<surname>Watkinson</surname>
</persName>
<affiliation>School of Environmental Sciences, University of East Anglia, Norwich, UK</affiliation>
</author>
<author xml:id="author-4"><persName><forename type="first">J.</forename>
<surname>Jiang</surname>
</persName>
<affiliation>Institute of Quantitative and Technical Economics, Chinese Academy of Social Sciences, Beijing, China</affiliation>
</author>
<author xml:id="author-5"><persName><forename type="first">C.</forename>
<surname>Thorne</surname>
</persName>
<affiliation>Department of Geography, The University of Nottingham, Nottingham, UK</affiliation>
</author>
</analytic>
<monogr><title level="j">Journal of Flood Risk Management</title>
<title level="j" type="abbrev">J. Flood Risk Manage</title>
<idno type="pISSN">1753-318X</idno>
<idno type="eISSN">1753-318X</idno>
<idno type="DOI">10.1111/(ISSN)1753-318X</idno>
<imprint><publisher>Blackwell Publishing Ltd</publisher>
<date type="published" when="2013-03"></date>
<biblScope unit="volume">6</biblScope>
<biblScope unit="issue">1</biblScope>
<biblScope unit="page" from="23">23</biblScope>
<biblScope unit="page" to="32">32</biblScope>
</imprint>
</monogr>
<idno type="istex">3B648816B7119F3E7E6B72AA8CD09E77DA74BB6C</idno>
<idno type="DOI">10.1111/j.1753-318X.2012.01168.x</idno>
<idno type="ArticleID">JFR31168</idno>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc><creation><date>2012-09-18</date>
</creation>
<langUsage><language ident="en">en</language>
</langUsage>
<abstract><p>The assessment of flood risk is now widely recognised to need research and data on both the probability and the consequences of flooding; the research reported here concentrates on the latter data input. Building on the UK Foresight Future Flooding project, this paper describes the development of future scenarios through which to assess possible future flood risk in the Taihu Basin area of China. In addition, we describe the flood damage assessment model that was developed there to build on these scenarios so as to calculate anticipated risk. Acknowledged methodological limitations remain, but some important developments have resulted. First, the pre‐existing flood loss data that were available from Shanghai meant that this aspect of the risk model's input was more regionally appropriate than would otherwise have been the case. Second, the damage assessment has been related both to constructed scenarios and to an agreed National Plan, so that the two can be compared. Third, the scenario construction was linked in Taihu to the statistical base contained in the 2006 Yearbook and the Fifth National Socio‐economic Survey data, giving a sounder ‘base case’ of current flood vulnerability than used in the UK Foresight Future Flooding project. Finally, much more attention was given here to agricultural production and flood risk, given the importance of agriculture in the Chinese economy and its focus on food production for a growing population.</p>
</abstract>
<textClass><keywords scheme="keyword"><list><head>keywords</head>
<item><term>China</term>
</item>
<item><term>flood damage</term>
</item>
<item><term>flood risk</term>
</item>
<item><term>scenario development</term>
</item>
</list>
</keywords>
</textClass>
<textClass><keywords scheme="Journal Subject"><list><head>article-category</head>
<item><term>Original Article</term>
</item>
</list>
</keywords>
</textClass>
</profileDesc>
<revisionDesc><change when="2012-09-18">Created</change>
<change when="2013-03">Published</change>
</revisionDesc>
</teiHeader>
</istex:fulltextTEI>
<json:item><extension>txt</extension>
<original>false</original>
<mimetype>text/plain</mimetype>
<uri>https://api.istex.fr/document/3B648816B7119F3E7E6B72AA8CD09E77DA74BB6C/fulltext/txt</uri>
</json:item>
</fulltext>
<metadata><istex:metadataXml wicri:clean="Wiley, elements deleted: body"><istex:xmlDeclaration>version="1.0" encoding="UTF-8" standalone="yes"</istex:xmlDeclaration>
<istex:document><component type="serialArticle" version="2.0" xml:id="jfr31168" xml:lang="en"><header><publicationMeta level="product"><doi origin="wiley">10.1111/(ISSN)1753-318X</doi>
<issn type="print">1753-318X</issn>
<issn type="electronic">1753-318X</issn>
<idGroup><id type="product" value="JFR3"></id>
</idGroup>
<titleGroup><title sort="JOURNAL OF FLOOD RISK MANAGEMENT" type="main">Journal of Flood Risk Management</title>
<title type="short">J. Flood Risk Manage</title>
</titleGroup>
</publicationMeta>
<publicationMeta level="part" position="03101"><doi>10.1111/jfr3.2013.6.issue-1</doi>
<titleGroup><title type="main">Taihu Basin Foresight Project Special Issue</title>
</titleGroup>
<copyright ownership="thirdParty">Copyright © 2013 The Chartered Institution of Water and Environmental Management (CIWEM)</copyright>
<numberingGroup><numbering number="6" type="journalVolume">6</numbering>
<numbering type="journalIssue">1</numbering>
</numberingGroup>
<coverDate startDate="2013-03">March 2013</coverDate>
</publicationMeta>
<publicationMeta level="unit" position="50" status="forIssue" type="article"><doi>10.1111/j.1753-318X.2012.01168.x</doi>
<idGroup><id type="unit" value="JFR31168"></id>
</idGroup>
<countGroup><count number="10" type="pageTotal"></count>
</countGroup>
<titleGroup><title type="tocHeading1">Original Articles</title>
<title type="articleCategory">Original Article</title>
</titleGroup>
<copyright ownership="joint">© 2012 Blackwell Publishing Ltd and The Chartered Institution of Water and Environmental Management (CIWEM)</copyright>
<eventGroup><event agent="bestset" date="2012-09-18" type="xmlCreated"></event>
<event date="2013-05-23" type="xmlCorrected"></event>
<event type="publishedOnlineAccepted" date="2012-09-07"></event>
<event type="publishedOnlineEarlyUnpaginated" date="2012-11-04"></event>
<event type="publishedOnlineFinalForm" date="2013-02-12"></event>
<event type="firstOnline" date="2012-11-04"></event>
<event type="xmlConverted" agent="Converter:WILEY_ML3G_TO_WILEY_ML3GV2 version:3.8.8" date="2014-01-30"></event>
<event type="xmlConverted" agent="Converter:WML3G_To_WML3G version:4.6.4 mode:FullText" date="2015-10-02"></event>
</eventGroup>
<numberingGroup><numbering type="pageFirst">23</numbering>
<numbering type="pageLast">32</numbering>
</numberingGroup>
<correspondenceTo><lineatedText><line><b>Correspondence</b>
</line>
<line>Edmund C. Penning‐Rowsell, Flood Hazard Research Centre, Middlesex University, The Burroughs, London NW4, UK</line>
<line>Email: <email>edmund@penningrowsell.com</email>
</line>
</lineatedText>
</correspondenceTo>
<linkGroup><link type="toTypesetVersion" href="file:JFR3.JFR31168.pdf"></link>
</linkGroup>
</publicationMeta>
<contentMeta><titleGroup><title type="short">Socioeconomic scenarios and flood damage assessment methodologies</title>
<title type="shortAuthors">Penning‐<fc>R</fc>
owsell <i>et al</i>
.</title>
<title type="main">Socioeconomic scenarios and flood damage assessment methodologies for the <fc>T</fc>
aihu <fc>B</fc>
asin, <fc>C</fc>
hina</title>
</titleGroup>
<creators><creator affiliationRef="#jfr31168-aff-0001" corresponding="yes" creatorRole="author" xml:id="jfr31168-cr-0001"><personName><givenNames>E.C.</givenNames>
<familyName>Penning‐Rowsell</familyName>
</personName>
</creator>
<creator affiliationRef="#jfr31168-aff-0002" creatorRole="author" xml:id="jfr31168-cr-0002"><personName><givenNames>W.</givenNames>
<familyName>Yanyan</familyName>
</personName>
</creator>
<creator affiliationRef="#jfr31168-aff-0003" creatorRole="author" xml:id="jfr31168-cr-0003"><personName><givenNames>A.R.</givenNames>
<familyName>Watkinson</familyName>
</personName>
</creator>
<creator affiliationRef="#jfr31168-aff-0004" creatorRole="author" xml:id="jfr31168-cr-0004"><personName><givenNames>J.</givenNames>
<familyName>Jiang</familyName>
</personName>
</creator>
<creator affiliationRef="#jfr31168-aff-0005" creatorRole="author" xml:id="jfr31168-cr-0005"><personName><givenNames>C.</givenNames>
<familyName>Thorne</familyName>
</personName>
</creator>
</creators>
<affiliationGroup><affiliation countryCode="GB" xml:id="jfr31168-aff-0001"><orgDiv>Flood Hazard Research Centre</orgDiv>
<orgName>Middlesex University</orgName>
<address><city>London</city>
<country>UK</country>
</address>
</affiliation>
<affiliation countryCode="CN" xml:id="jfr31168-aff-0002"><orgName>China Institute of Water Resources and Hydropower Research</orgName>
<address><city>Beijing</city>
<country>China</country>
</address>
</affiliation>
<affiliation countryCode="GB" xml:id="jfr31168-aff-0003"><orgDiv>School of Environmental Sciences</orgDiv>
<orgName>University of East Anglia</orgName>
<address><city>Norwich</city>
<country>UK</country>
</address>
</affiliation>
<affiliation countryCode="CN" xml:id="jfr31168-aff-0004"><orgDiv>Institute of Quantitative and Technical Economics</orgDiv>
<orgName>Chinese Academy of Social Sciences</orgName>
<address><city>Beijing</city>
<country>China</country>
</address>
</affiliation>
<affiliation countryCode="GB" xml:id="jfr31168-aff-0005"><orgDiv>Department of Geography</orgDiv>
<orgName>The University of Nottingham</orgName>
<address><city>Nottingham</city>
<country>UK</country>
</address>
</affiliation>
</affiliationGroup>
<keywordGroup type="author"><keyword xml:id="jfr31168-kwd-0001"><fc>C</fc>
hina</keyword>
<keyword xml:id="jfr31168-kwd-0002">flood damage</keyword>
<keyword xml:id="jfr31168-kwd-0003">flood risk</keyword>
<keyword xml:id="jfr31168-kwd-0004">scenario development</keyword>
</keywordGroup>
<abstractGroup><abstract type="main"><title type="main">Abstract</title>
<p>The assessment of flood risk is now widely recognised to need research and data on both the probability and the consequences of flooding; the research reported here concentrates on the latter data input. Building on the <fc>UK F</fc>
oresight <fc>F</fc>
uture <fc>F</fc>
looding project, this paper describes the development of future scenarios through which to assess possible future flood risk in the <fc>T</fc>
aihu <fc>B</fc>
asin area of <fc>C</fc>
hina. In addition, we describe the flood damage assessment model that was developed there to build on these scenarios so as to calculate anticipated risk. Acknowledged methodological limitations remain, but some important developments have resulted. First, the pre‐existing flood loss data that were available from <fc>S</fc>
hanghai meant that this aspect of the risk model's input was more regionally appropriate than would otherwise have been the case. Second, the damage assessment has been related both to constructed scenarios and to an agreed <fc>N</fc>
ational <fc>P</fc>
lan, so that the two can be compared. Third, the scenario construction was linked in <fc>T</fc>
aihu to the statistical base contained in the 2006 <fc>Y</fc>
earbook and the <fc>F</fc>
ifth <fc>N</fc>
ational <fc>S</fc>
ocio‐economic <fc>S</fc>
urvey data, giving a sounder ‘base case’ of current flood vulnerability than used in the <fc>UK F</fc>
oresight <fc>F</fc>
uture <fc>F</fc>
looding project. Finally, much more attention was given here to agricultural production and flood risk, given the importance of agriculture in the <fc>C</fc>
hinese economy and its focus on food production for a growing population.</p>
</abstract>
</abstractGroup>
</contentMeta>
</header>
</component>
</istex:document>
</istex:metadataXml>
<mods version="3.6"><titleInfo lang="en"><title>Socioeconomic scenarios and flood damage assessment methodologies for the Taihu Basin, China</title>
</titleInfo>
<titleInfo type="abbreviated" lang="en"><title>Socioeconomic scenarios and flood damage assessment methodologies</title>
</titleInfo>
<titleInfo type="alternative" contentType="CDATA" lang="en"><title>Socioeconomic scenarios and flood damage assessment methodologies for the Taihu Basin, China</title>
</titleInfo>
<name type="personal"><namePart type="given">E.C.</namePart>
<namePart type="family">Penning‐Rowsell</namePart>
<affiliation>Flood Hazard Research Centre, Middlesex University, London, UK</affiliation>
<affiliation>Edmund C. Penning‐Rowsell, Flood Hazard Research Centre, Middlesex University, The Burroughs, London NW4, UKEmail:</affiliation>
<affiliation>E-mail: edmund@penningrowsell.com</affiliation>
<role><roleTerm type="text">author</roleTerm>
</role>
</name>
<name type="personal"><namePart type="given">W.</namePart>
<namePart type="family">Yanyan</namePart>
<affiliation>China Institute of Water Resources and Hydropower Research, Beijing, China</affiliation>
<role><roleTerm type="text">author</roleTerm>
</role>
</name>
<name type="personal"><namePart type="given">A.R.</namePart>
<namePart type="family">Watkinson</namePart>
<affiliation>School of Environmental Sciences, University of East Anglia, Norwich, UK</affiliation>
<role><roleTerm type="text">author</roleTerm>
</role>
</name>
<name type="personal"><namePart type="given">J.</namePart>
<namePart type="family">Jiang</namePart>
<affiliation>Institute of Quantitative and Technical Economics, Chinese Academy of Social Sciences, Beijing, China</affiliation>
<role><roleTerm type="text">author</roleTerm>
</role>
</name>
<name type="personal"><namePart type="given">C.</namePart>
<namePart type="family">Thorne</namePart>
<affiliation>Department of Geography, The University of Nottingham, Nottingham, UK</affiliation>
<role><roleTerm type="text">author</roleTerm>
</role>
</name>
<typeOfResource>text</typeOfResource>
<genre type="article" displayLabel="article"></genre>
<originInfo><publisher>Blackwell Publishing Ltd</publisher>
<dateIssued encoding="w3cdtf">2013-03</dateIssued>
<dateCreated encoding="w3cdtf">2012-09-18</dateCreated>
<copyrightDate encoding="w3cdtf">2013</copyrightDate>
</originInfo>
<language><languageTerm type="code" authority="rfc3066">en</languageTerm>
<languageTerm type="code" authority="iso639-2b">eng</languageTerm>
</language>
<physicalDescription><internetMediaType>text/html</internetMediaType>
</physicalDescription>
<abstract>The assessment of flood risk is now widely recognised to need research and data on both the probability and the consequences of flooding; the research reported here concentrates on the latter data input. Building on the UK Foresight Future Flooding project, this paper describes the development of future scenarios through which to assess possible future flood risk in the Taihu Basin area of China. In addition, we describe the flood damage assessment model that was developed there to build on these scenarios so as to calculate anticipated risk. Acknowledged methodological limitations remain, but some important developments have resulted. First, the pre‐existing flood loss data that were available from Shanghai meant that this aspect of the risk model's input was more regionally appropriate than would otherwise have been the case. Second, the damage assessment has been related both to constructed scenarios and to an agreed National Plan, so that the two can be compared. Third, the scenario construction was linked in Taihu to the statistical base contained in the 2006 Yearbook and the Fifth National Socio‐economic Survey data, giving a sounder ‘base case’ of current flood vulnerability than used in the UK Foresight Future Flooding project. Finally, much more attention was given here to agricultural production and flood risk, given the importance of agriculture in the Chinese economy and its focus on food production for a growing population.</abstract>
<subject><genre>keywords</genre>
<topic>China</topic>
<topic>flood damage</topic>
<topic>flood risk</topic>
<topic>scenario development</topic>
</subject>
<relatedItem type="host"><titleInfo><title>Journal of Flood Risk Management</title>
</titleInfo>
<titleInfo type="abbreviated"><title>J. Flood Risk Manage</title>
</titleInfo>
<genre type="journal">journal</genre>
<subject><genre>article-category</genre>
<topic>Original Article</topic>
</subject>
<identifier type="ISSN">1753-318X</identifier>
<identifier type="eISSN">1753-318X</identifier>
<identifier type="DOI">10.1111/(ISSN)1753-318X</identifier>
<identifier type="PublisherID">JFR3</identifier>
<part><date>2013</date>
<detail type="title"><title>Taihu Basin Foresight Project Special Issue</title>
</detail>
<detail type="volume"><caption>vol.</caption>
<number>6</number>
</detail>
<detail type="issue"><caption>no.</caption>
<number>1</number>
</detail>
<extent unit="pages"><start>23</start>
<end>32</end>
<total>10</total>
</extent>
</part>
</relatedItem>
<identifier type="istex">3B648816B7119F3E7E6B72AA8CD09E77DA74BB6C</identifier>
<identifier type="DOI">10.1111/j.1753-318X.2012.01168.x</identifier>
<identifier type="ArticleID">JFR31168</identifier>
<accessCondition type="use and reproduction" contentType="copyright">Copyright © 2013 The Chartered Institution of Water and Environmental Management (CIWEM)© 2012 Blackwell Publishing Ltd and The Chartered Institution of Water and Environmental Management (CIWEM)</accessCondition>
<recordInfo><recordContentSource>WILEY</recordContentSource>
</recordInfo>
</mods>
</metadata>
<serie></serie>
</istex>
</record>
Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Agronomie/explor/SisAgriV1/Data/Istex/Corpus
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000C40 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Istex/Corpus/biblio.hfd -nk 000C40 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien |wiki= Wicri/Agronomie |area= SisAgriV1 |flux= Istex |étape= Corpus |type= RBID |clé= ISTEX:3B648816B7119F3E7E6B72AA8CD09E77DA74BB6C |texte= Socioeconomic scenarios and flood damage assessment methodologies for the Taihu Basin, China }}
![]() | This area was generated with Dilib version V0.6.28. | ![]() |