Multisite flooding hazard assessment in the Upper Mississippi River
► Highly dimensional flood scenarios are generated for the Upper Mississippi River. ► Two approaches: multivariate skew- t distribution and t-copula function. ► They are very different in nature with advantages and drawbacks. ► Both provide consistent descriptions of the flooding process. This contr...
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description | ► Highly dimensional flood scenarios are generated for the Upper Mississippi River. ► Two approaches: multivariate skew-
t distribution and
t-copula function. ► They are very different in nature with advantages and drawbacks. ► Both provide consistent descriptions of the flooding process.
This contribution presents an assessment of the joint probability distribution able to describe multi-site multi-basin flood scenarios in a high dimensionality framework. This goal will be pursued through two different approaches: the multivariate skew-
t distribution and the Student copula with arbitrary margins. While copulas have been widely used in the modeling of hydrological processes, the use of the skew-
t distribution in hydrology has been only recently proposed with reference to a trivariate application (Ghizzoni et al., 2010, Adv. Water Resour., 33, 1243–1255). Both methods are here applied and discussed in a context of considerably higher dimensionality: the Upper Mississippi River floods. In fact, to enhance the characteristics of the correlation structure, eighteen nested and non-nested gauging stations were selected, with significantly different contributing areas. Such conditions represent a challenge for both the skew-
t and the copula approach. In perspective, the ability of such approaches in explaining the multivariate aspects of the relevant processes is needed to specify flood hazard scenarios in terms of their intensity, extension and frequency. When this is associated to the knowledge of location, value and vulnerability of exposed elements, comprehensive flood risk scenarios can be produced, and risk cumuli quantified, for given portfolios, composed of wherever located risks. |
doi_str_mv | 10.1016/j.jhydrol.2011.06.004 |
format | Article |
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t distribution and
t-copula function. ► They are very different in nature with advantages and drawbacks. ► Both provide consistent descriptions of the flooding process.
This contribution presents an assessment of the joint probability distribution able to describe multi-site multi-basin flood scenarios in a high dimensionality framework. This goal will be pursued through two different approaches: the multivariate skew-
t distribution and the Student copula with arbitrary margins. While copulas have been widely used in the modeling of hydrological processes, the use of the skew-
t distribution in hydrology has been only recently proposed with reference to a trivariate application (Ghizzoni et al., 2010, Adv. Water Resour., 33, 1243–1255). Both methods are here applied and discussed in a context of considerably higher dimensionality: the Upper Mississippi River floods. In fact, to enhance the characteristics of the correlation structure, eighteen nested and non-nested gauging stations were selected, with significantly different contributing areas. Such conditions represent a challenge for both the skew-
t and the copula approach. In perspective, the ability of such approaches in explaining the multivariate aspects of the relevant processes is needed to specify flood hazard scenarios in terms of their intensity, extension and frequency. When this is associated to the knowledge of location, value and vulnerability of exposed elements, comprehensive flood risk scenarios can be produced, and risk cumuli quantified, for given portfolios, composed of wherever located risks.</description><identifier>ISSN: 0022-1694</identifier><identifier>EISSN: 1879-2707</identifier><identifier>DOI: 10.1016/j.jhydrol.2011.06.004</identifier><identifier>CODEN: JHYDA7</identifier><language>eng</language><publisher>Kidlington: Elsevier B.V</publisher><subject>Assessments ; Earth sciences ; Earth, ocean, space ; Engineering and environment geology. Geothermics ; Exact sciences and technology ; Flood risk management ; Flood scenarios ; Flooding ; Floods ; Freshwater ; Gauging stations ; Hydrology ; Hydrology. Hydrogeology ; Mathematical models ; Mississippi River ; Multivariate processes ; Natural hazards: prediction, damages, etc ; Risk ; Rivers ; Skew- t distribution</subject><ispartof>Journal of hydrology (Amsterdam), 2012-01, Vol.412, p.101-113</ispartof><rights>2011 Elsevier B.V.</rights><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a394t-c7316ca83e8d2aba3145fdc33072a89cb7633fdfe3dbe57ab56e44eab93dc2a73</citedby><cites>FETCH-LOGICAL-a394t-c7316ca83e8d2aba3145fdc33072a89cb7633fdfe3dbe57ab56e44eab93dc2a73</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.jhydrol.2011.06.004$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>309,310,314,780,784,789,790,3550,23930,23931,25140,27924,27925,45995</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=25511547$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Ghizzoni, Tatiana</creatorcontrib><creatorcontrib>Roth, Giorgio</creatorcontrib><creatorcontrib>Rudari, Roberto</creatorcontrib><title>Multisite flooding hazard assessment in the Upper Mississippi River</title><title>Journal of hydrology (Amsterdam)</title><description>► Highly dimensional flood scenarios are generated for the Upper Mississippi River. ► Two approaches: multivariate skew-
t distribution and
t-copula function. ► They are very different in nature with advantages and drawbacks. ► Both provide consistent descriptions of the flooding process.
This contribution presents an assessment of the joint probability distribution able to describe multi-site multi-basin flood scenarios in a high dimensionality framework. This goal will be pursued through two different approaches: the multivariate skew-
t distribution and the Student copula with arbitrary margins. While copulas have been widely used in the modeling of hydrological processes, the use of the skew-
t distribution in hydrology has been only recently proposed with reference to a trivariate application (Ghizzoni et al., 2010, Adv. Water Resour., 33, 1243–1255). Both methods are here applied and discussed in a context of considerably higher dimensionality: the Upper Mississippi River floods. In fact, to enhance the characteristics of the correlation structure, eighteen nested and non-nested gauging stations were selected, with significantly different contributing areas. Such conditions represent a challenge for both the skew-
t and the copula approach. In perspective, the ability of such approaches in explaining the multivariate aspects of the relevant processes is needed to specify flood hazard scenarios in terms of their intensity, extension and frequency. When this is associated to the knowledge of location, value and vulnerability of exposed elements, comprehensive flood risk scenarios can be produced, and risk cumuli quantified, for given portfolios, composed of wherever located risks.</description><subject>Assessments</subject><subject>Earth sciences</subject><subject>Earth, ocean, space</subject><subject>Engineering and environment geology. Geothermics</subject><subject>Exact sciences and technology</subject><subject>Flood risk management</subject><subject>Flood scenarios</subject><subject>Flooding</subject><subject>Floods</subject><subject>Freshwater</subject><subject>Gauging stations</subject><subject>Hydrology</subject><subject>Hydrology. Hydrogeology</subject><subject>Mathematical models</subject><subject>Mississippi River</subject><subject>Multivariate processes</subject><subject>Natural hazards: prediction, damages, etc</subject><subject>Risk</subject><subject>Rivers</subject><subject>Skew- t distribution</subject><issn>0022-1694</issn><issn>1879-2707</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><recordid>eNqFkFtLw0AQhRdRsFZ_gpAX8SlxL9lcnkSKN2gRxD4vk92J3ZImcScV6q83pcVXh4F5OWfOzMfYteCJ4CK7Wyfr1c6FrkkkFyLhWcJ5esImosjLWOY8P2UTzqWMRVam5-yCaM3HUiqdsNli2wye_IBR3XSd8-1ntIIfCC4CIiTaYDtEvo2GFUbLvscQLTzRvvveR-_-G8MlO6uhIbw6zilbPj1-zF7i-dvz6-xhHoMq0yG2uRKZhUJh4SRUoESqa2eV4rmEorRVnilVuxqVq1DnUOkM0xShKpWzEnI1ZbeHvX3ovrZIg9l4stg00GK3JVNKXnDNdTEq9UFpQ0cUsDZ98BsIOyO42TMza3NkZvbMDM_MyGz03RwTgCw0dYDWevozS62F0On-kvuDDsd3vz0GQ9Zja9H5gHYwrvP_JP0CD2WGOw</recordid><startdate>20120104</startdate><enddate>20120104</enddate><creator>Ghizzoni, Tatiana</creator><creator>Roth, Giorgio</creator><creator>Rudari, Roberto</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope></search><sort><creationdate>20120104</creationdate><title>Multisite flooding hazard assessment in the Upper Mississippi River</title><author>Ghizzoni, Tatiana ; Roth, Giorgio ; Rudari, Roberto</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a394t-c7316ca83e8d2aba3145fdc33072a89cb7633fdfe3dbe57ab56e44eab93dc2a73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Assessments</topic><topic>Earth sciences</topic><topic>Earth, ocean, space</topic><topic>Engineering and environment geology. Geothermics</topic><topic>Exact sciences and technology</topic><topic>Flood risk management</topic><topic>Flood scenarios</topic><topic>Flooding</topic><topic>Floods</topic><topic>Freshwater</topic><topic>Gauging stations</topic><topic>Hydrology</topic><topic>Hydrology. Hydrogeology</topic><topic>Mathematical models</topic><topic>Mississippi River</topic><topic>Multivariate processes</topic><topic>Natural hazards: prediction, damages, etc</topic><topic>Risk</topic><topic>Rivers</topic><topic>Skew- t distribution</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ghizzoni, Tatiana</creatorcontrib><creatorcontrib>Roth, Giorgio</creatorcontrib><creatorcontrib>Rudari, Roberto</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Journal of hydrology (Amsterdam)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ghizzoni, Tatiana</au><au>Roth, Giorgio</au><au>Rudari, Roberto</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multisite flooding hazard assessment in the Upper Mississippi River</atitle><jtitle>Journal of hydrology (Amsterdam)</jtitle><date>2012-01-04</date><risdate>2012</risdate><volume>412</volume><spage>101</spage><epage>113</epage><pages>101-113</pages><issn>0022-1694</issn><eissn>1879-2707</eissn><coden>JHYDA7</coden><abstract>► Highly dimensional flood scenarios are generated for the Upper Mississippi River. ► Two approaches: multivariate skew-
t distribution and
t-copula function. ► They are very different in nature with advantages and drawbacks. ► Both provide consistent descriptions of the flooding process.
This contribution presents an assessment of the joint probability distribution able to describe multi-site multi-basin flood scenarios in a high dimensionality framework. This goal will be pursued through two different approaches: the multivariate skew-
t distribution and the Student copula with arbitrary margins. While copulas have been widely used in the modeling of hydrological processes, the use of the skew-
t distribution in hydrology has been only recently proposed with reference to a trivariate application (Ghizzoni et al., 2010, Adv. Water Resour., 33, 1243–1255). Both methods are here applied and discussed in a context of considerably higher dimensionality: the Upper Mississippi River floods. In fact, to enhance the characteristics of the correlation structure, eighteen nested and non-nested gauging stations were selected, with significantly different contributing areas. Such conditions represent a challenge for both the skew-
t and the copula approach. In perspective, the ability of such approaches in explaining the multivariate aspects of the relevant processes is needed to specify flood hazard scenarios in terms of their intensity, extension and frequency. When this is associated to the knowledge of location, value and vulnerability of exposed elements, comprehensive flood risk scenarios can be produced, and risk cumuli quantified, for given portfolios, composed of wherever located risks.</abstract><cop>Kidlington</cop><pub>Elsevier B.V</pub><doi>10.1016/j.jhydrol.2011.06.004</doi><tpages>13</tpages></addata></record> |
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subjects | Assessments Earth sciences Earth, ocean, space Engineering and environment geology. Geothermics Exact sciences and technology Flood risk management Flood scenarios Flooding Floods Freshwater Gauging stations Hydrology Hydrology. Hydrogeology Mathematical models Mississippi River Multivariate processes Natural hazards: prediction, damages, etc Risk Rivers Skew- t distribution |
title | Multisite flooding hazard assessment in the Upper Mississippi River |
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