| Record ID | marc_columbia/Columbia-extract-20221130-031.mrc:395503833:6123 |
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LEADER: 06123cam a2200673M 4500
001 15369468
005 20220514234201.0
006 m o d
007 cr |n|||||||||
008 210215s2021 xx o 0|| 0 eng d
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020 $a1000368076$q(electronic bk.)
020 $a9781003160045$q(electronic bk.)
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020 $a9781000368130$q(electronic bk. : EPUB)
020 $a1000368130$q(electronic bk. : EPUB)
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024 7 $a10.1201/9781003160045$2doi
035 $a(OCoLC)1237558407$z(OCoLC)1240710596
037 $a9781003160045$bTaylor & Francis
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082 04 $a627.4$223
049 $aZCUA
100 1 $aAbebe, Yared Abayneh.
245 10 $aMODELLING HUMAN-FLOOD INTERACTIONS$h[electronic resource] :$ba coupled flood-agent-institution modelling framework for... long-term flood risk management.
260 $a[S.l.] :$bCRC PRESS,$c2021.
300 $a1 online resource.
336 $atext$2rdacontent
337 $acomputer$2rdamedia
338 $aonline resource$2rdacarrier
490 0 $aIHE Delft PhD thesis series
520 $aThe negative impacts of floods are attributed to the extent and magnitude of a flood hazard, and the vulnerability and exposure of natural and human elements. In flood risk management (FRM) studies, it is crucial to model the interaction between human and flood subsystems across multiple spatial, temporal and organizational scales. Models should address the heterogeneity that exists within the human subsystem, and incorporate institutions that shape the behaviour of individuals. Hence, the main objectives of the dissertation are to develop a modelling framework and a methodology to build holistic models for FRM, and to assess how coupled human-flood interaction models support FRM policy analysis and decision-making. To achieve the objectives, the study introduces the Coupled fLood-Agent-Institution Modelling framework (CLAIM). CLAIM integrates actors, institutions, the urban environment, hydrologic and hydrodynamic processes and external factors, which affect FRM activities. The framework draws on the complex system perspective and conceptualizes the interaction of floods, humans and their environment as drivers of flood hazard, vulnerability and exposure. The human and flood subsystems are modelled using agent-based models and hydrodynamic models, respectively. The two models are dynamically coupled to understand human-flood interactions and to investigate the effect of institutions on FRM policy analysis.
545 0 $aYared Abayneh Abebe is a PhD researcher in Urban Water Systems at IHE Delft Institute for Water Education, Delft, The Netherlands. He received his BSc in Soil and Water Engineering and Management from Haramaya University, Ethiopia and his MSc in Water Science and Engineering, specialization Hydroinformatics from IHE Delft. His research interests include policy analysis, the use of agent-based and hydrodynamic models, and hazard, exposure, vulnerability and risk assessments in disaster risk management, with a particular focus on hydro-meteorological hazards such as floods and hurricanes.
505 0 $a<P>1 Introduction <BR>1.1 Motivation <BR>1.2 Human-flood interactions<BR>1.3 Systems perspective and sociohydrology<BR>1.4 Research gaps in human-flood interaction modelling<BR>1.5 Research aim and questions<BR>1.6 Research approach <BR>1.7 Scope <BR>1.8 Outline </P><P>2 Theoretical Background<BR>2.1 Introduction<BR>2.2 Flood risk management: A complex adaptive system perspective <BR>2.3 Flood modelling <BR>2.4 Agent-based modelling <BR>2.5 Institutional analysis <BR>2.6 Integrated modelling <BR>2.7 Conclusion </P><P>3 CLAIM: a coupled flood-agent-institution modelling framework<BR>3.1 Introduction <BR>3.2 Framework description <BR>3.3 Building models using CLAIM <BR>3.4 Conclusion </P><P>4 Effects of formal and informal institutions on flood risk management: The case of Sint Maarten <BR>4.1 Introduction <BR>4.2 Study area <BR>4.3 Model setups <BR>4.4 Results <BR>4.5 Discussion and conclusion </P><P>5 The role of household adaptation measures to reduce vulnerability to flooding: The case of Hamburg, Germany<BR>5.1 Introduction <BR>5.2 Study area <BR>5.3 Protection motivation theory<BR>5.4 Model setups <BR>5.5 Results <BR>5.6 Discussion and conclusion </P><P>6 Insights into conceptualizing and modelling human-flood interactions<BR>6.1 Introduction <BR>6.2 CLAIM and modelling methodology <BR>6.3 Conceptualization and model development in case studies <BR>6.4 Socio-hydrologic modelling and FRM studies </P><P>7 Reflections and outlook <BR>7.1 Research outputs <BR>7.2 Reflections <BR>7.3 Outlook </P><P>Appendix A List of assumptions -- Coupled ABM-flood model for Sint Maarten <BR>Appendix B List of assumptions -- Coupled ABM-flood model for Wilhelmsburg <BR>Appendix C List of house types in Wilhelmsburg </P>
650 0 $aFlood control.
650 0 $aFlood damage prevention.
650 6 $aInondations$xMaîtrise.
650 6 $aDommages causés par les inondations$xPrévention.
650 7 $aflood control.$2aat
650 7 $aSCIENCE / Environmental Science$2bisacsh
650 7 $aTECHNOLOGY / Engineering / Civil$2bisacsh
650 7 $aFlood control.$2fast$0(OCoLC)fst00927443
650 7 $aFlood damage prevention.$2fast$0(OCoLC)fst00927487
655 4 $aElectronic books.
776 08 $iPrint version:$z9781000368130
776 08 $iPrint version:$z036774886X$z9780367748869$w(OCoLC)1201660822
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio15369468$zTaylor & Francis eBooks
852 8 $blweb$hEBOOKS