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Characterizing Compound Coastal Flood Risk in Urbanized Communities: A Multivariate Approach- [electronic resource]
Characterizing Compound Coastal Flood Risk in Urbanized Communities: A Multivariate Approach- [electronic resource]
상세정보
- 자료유형
- 학위논문
- Control Number
- 0016934041
- International Standard Book Number
- 9798380081795
- Dewey Decimal Classification Number
- 624
- Main Entry-Personal Name
- Lucey, Joseph Thomas-Daniel.
- Publication, Distribution, etc. (Imprint
- [S.l.] : University of California, Los Angeles., 2023
- Publication, Distribution, etc. (Imprint
- Ann Arbor : ProQuest Dissertations & Theses, 2023
- Physical Description
- 1 online resource(157 p.)
- General Note
- Source: Dissertations Abstracts International, Volume: 85-02, Section: A.
- General Note
- Advisor: Gallien, Timu.
- Dissertation Note
- Thesis (Ph.D.)--University of California, Los Angeles, 2023.
- Restrictions on Access Note
- This item must not be sold to any third party vendors.
- Summary, Etc.
- 요약Coastal flooding is a growing concern. Compound coastal flooding considers the joint impacts of marine and hydrologic events characterized by multiple flooding pathways (i.e., high offshore water levels, streamflow, energetic waves, precipitation) acting concurrently. Flood risks are commonly assessed using numerical models or statistical methods. Quantifying event uncertainty is critical to accurate flood risk assessment. This work develops a hybrid statistical-hydrodynamic flood modeling methodology to characterize flood mapping uncertainty in highly urbanized, tidally and wave dominated regions. Uncertainties associated with copula selection, sampling method, data record length, utilized rainfall gauge, and event choice along an isoline were considered. Univariate statistics are analyzed for individual sites and events. Conditional and joint probabilities are developed using a range of copulas, sampling methods, and hazard scenarios. Multiple copulas (Nelsen, BB1, BB5, and Roch-Alegre, Fischer-Koch) consistently passed a Cram´er-von Mises test and presented similar event pairs, with the exception of the BB5 copula which was often more conservative (i.e., more severe event pairs). Sampling impacts are considered using annual maximum, annual coinciding, wet season monthly maximum, and wet season monthly coinciding sampling. Generally, annual maximum sampling yielded the largest (most severe) event pairs. However, in some cases wet season monthly coinciding sampling suggested higher marine water levels. Uncertainties associated with record length were quantified by creating subsets with different sizes from long data records (∼100 years). Significant event pair variability was observed when using short data record lengths, although results stabilized at 70-years. Flood risk estimates using local rainfall gauges significantly varied suggesting microclimatologies must be considered in flood risk analysis. Validated Delft3D-FM hydrodynamic models were developed for multiple urbanized coastal communities. Compound events were simulated to quantify flood mapping uncertainties associated with statistical characterization.
- Subject Added Entry-Topical Term
- Civil engineering.
- Subject Added Entry-Topical Term
- Urban planning.
- Subject Added Entry-Topical Term
- Environmental engineering.
- Index Term-Uncontrolled
- Coastal flooding
- Index Term-Uncontrolled
- Copulas
- Index Term-Uncontrolled
- Flooding
- Index Term-Uncontrolled
- Multivariate statistics
- Index Term-Uncontrolled
- Numerical modeling
- Index Term-Uncontrolled
- Uncertainties
- Index Term-Uncontrolled
- Compound events
- Added Entry-Corporate Name
- University of California, Los Angeles Civil and Environmental Engineering 0300
- Host Item Entry
- Dissertations Abstracts International. 85-02A.
- Host Item Entry
- Dissertation Abstract International
- Electronic Location and Access
- 로그인을 한후 보실 수 있는 자료입니다.
- Control Number
- joongbu:641186
MARC
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■020 ▼a9798380081795
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■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a624
■1001 ▼aLucey, Joseph Thomas-Daniel.
■24510▼aCharacterizing Compound Coastal Flood Risk in Urbanized Communities: A Multivariate Approach▼h[electronic resource]
■260 ▼a[S.l.]▼bUniversity of California, Los Angeles. ▼c2023
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2023
■300 ▼a1 online resource(157 p.)
■500 ▼aSource: Dissertations Abstracts International, Volume: 85-02, Section: A.
■500 ▼aAdvisor: Gallien, Timu.
■5021 ▼aThesis (Ph.D.)--University of California, Los Angeles, 2023.
■506 ▼aThis item must not be sold to any third party vendors.
■520 ▼aCoastal flooding is a growing concern. Compound coastal flooding considers the joint impacts of marine and hydrologic events characterized by multiple flooding pathways (i.e., high offshore water levels, streamflow, energetic waves, precipitation) acting concurrently. Flood risks are commonly assessed using numerical models or statistical methods. Quantifying event uncertainty is critical to accurate flood risk assessment. This work develops a hybrid statistical-hydrodynamic flood modeling methodology to characterize flood mapping uncertainty in highly urbanized, tidally and wave dominated regions. Uncertainties associated with copula selection, sampling method, data record length, utilized rainfall gauge, and event choice along an isoline were considered. Univariate statistics are analyzed for individual sites and events. Conditional and joint probabilities are developed using a range of copulas, sampling methods, and hazard scenarios. Multiple copulas (Nelsen, BB1, BB5, and Roch-Alegre, Fischer-Koch) consistently passed a Cram´er-von Mises test and presented similar event pairs, with the exception of the BB5 copula which was often more conservative (i.e., more severe event pairs). Sampling impacts are considered using annual maximum, annual coinciding, wet season monthly maximum, and wet season monthly coinciding sampling. Generally, annual maximum sampling yielded the largest (most severe) event pairs. However, in some cases wet season monthly coinciding sampling suggested higher marine water levels. Uncertainties associated with record length were quantified by creating subsets with different sizes from long data records (∼100 years). Significant event pair variability was observed when using short data record lengths, although results stabilized at 70-years. Flood risk estimates using local rainfall gauges significantly varied suggesting microclimatologies must be considered in flood risk analysis. Validated Delft3D-FM hydrodynamic models were developed for multiple urbanized coastal communities. Compound events were simulated to quantify flood mapping uncertainties associated with statistical characterization.
■590 ▼aSchool code: 0031.
■650 4▼aCivil engineering.
■650 4▼aUrban planning.
■650 4▼aEnvironmental engineering.
■653 ▼aCoastal flooding
■653 ▼aCopulas
■653 ▼aFlooding
■653 ▼aMultivariate statistics
■653 ▼aNumerical modeling
■653 ▼aUncertainties
■653 ▼aCompound events
■690 ▼a0543
■690 ▼a0775
■690 ▼a0999
■71020▼aUniversity of California, Los Angeles▼bCivil and Environmental Engineering 0300.
■7730 ▼tDissertations Abstracts International▼g85-02A.
■773 ▼tDissertation Abstract International
■790 ▼a0031
■791 ▼aPh.D.
■792 ▼a2023
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16934041▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202402▼f2024
