Hydrological Modeling for Flood Risk Management and Mitigation Efforts in the Rhine River Basin

Detalhes bibliográficos
Autor(a) principal: Kraatz, Julia Grace Litong
Data de Publicação: 2023
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/150965
Resumo: Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies
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spelling Hydrological Modeling for Flood Risk Management and Mitigation Efforts in the Rhine River BasinLISFLOODfloodinghydrological modelingflood-riskGermanyDomínio/Área Científica::Ciências Naturais::Ciências da Computação e da InformaçãoDomínio/Área Científica::Ciências Sociais::Geografia Económica e SocialDissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial TechnologiesUrban flooding is a global issue that affects millions of people every year. It is the most frequent natural hazard to affect large cities, and causes numerous damages to personal property, city infrastructure, and in some cases loss of life. In July of 2021, western Germany was greatly impacted by urban flooding; from the 14 to 15th of July, more than 180 lives were lost due to intense rainfall and flooding, with more than 40,000 people affected. In this work the flooding of 2021 was modeled within the Upper Rhine River basin using the LISFLOOD-OS hydrological model, to conduct a flood-risk analysis in one of the most impacted states during the flooding even, Rhineland Pfalz. Further, the calibrated model was run with higher levels of precipitation to determine possible risks associated with a future flooding event in the same region. To calculate flood-risk, flood depth-damage functions were implemented on simulation outputs to determine flood-risk. Reliability of the flood-risk analysis was done by comparing Copernicus monitored flood extent data from the flooding event against the flood-risk classification map. Results show that the flooding event of 2021 could be modeled with reasonable discharge levels compared to observations from the Mainz gauging station, producing a KGE score of 0.438; further, land use classes which received the highest damage values in both the simulated flooding event of 2021 and in the future flooding event scenario were agricultural and residential areas. High-risk areas from the flood simulation of 2021 fell within Copernicus monitored flood extent areas, highlighting the potential of this methodology to be applied to future flood-risk management practices.Pebesma, EdzerHildemann, MoritzTrilles, SergiRUNKraatz, Julia Grace Litong2023-03-21T17:46:26Z2023-01-272023-01-27T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/150965TID:203254325enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:33:23Zoai:run.unl.pt:10362/150965Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:54:23.440304Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Hydrological Modeling for Flood Risk Management and Mitigation Efforts in the Rhine River Basin
title Hydrological Modeling for Flood Risk Management and Mitigation Efforts in the Rhine River Basin
spellingShingle Hydrological Modeling for Flood Risk Management and Mitigation Efforts in the Rhine River Basin
Kraatz, Julia Grace Litong
LISFLOOD
flooding
hydrological modeling
flood-risk
Germany
Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação
Domínio/Área Científica::Ciências Sociais::Geografia Económica e Social
title_short Hydrological Modeling for Flood Risk Management and Mitigation Efforts in the Rhine River Basin
title_full Hydrological Modeling for Flood Risk Management and Mitigation Efforts in the Rhine River Basin
title_fullStr Hydrological Modeling for Flood Risk Management and Mitigation Efforts in the Rhine River Basin
title_full_unstemmed Hydrological Modeling for Flood Risk Management and Mitigation Efforts in the Rhine River Basin
title_sort Hydrological Modeling for Flood Risk Management and Mitigation Efforts in the Rhine River Basin
author Kraatz, Julia Grace Litong
author_facet Kraatz, Julia Grace Litong
author_role author
dc.contributor.none.fl_str_mv Pebesma, Edzer
Hildemann, Moritz
Trilles, Sergi
RUN
dc.contributor.author.fl_str_mv Kraatz, Julia Grace Litong
dc.subject.por.fl_str_mv LISFLOOD
flooding
hydrological modeling
flood-risk
Germany
Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação
Domínio/Área Científica::Ciências Sociais::Geografia Económica e Social
topic LISFLOOD
flooding
hydrological modeling
flood-risk
Germany
Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação
Domínio/Área Científica::Ciências Sociais::Geografia Económica e Social
description Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies
publishDate 2023
dc.date.none.fl_str_mv 2023-03-21T17:46:26Z
2023-01-27
2023-01-27T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/150965
TID:203254325
url http://hdl.handle.net/10362/150965
identifier_str_mv TID:203254325
dc.language.iso.fl_str_mv eng
language eng
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instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
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