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Process-Based Understanding and Prediction of Riverine Flood Frequency.
Process-Based Understanding and Prediction of Riverine Flood Frequency.
상세정보
- Material Type
- 학위논문
- 0016053170
- Date and Time of Latest Transaction
- 20220210093624
- ISBN
- 9798534649277
- DDC
- 551
- Author
- Yu, Guo.
- Title/Author
- Process-Based Understanding and Prediction of Riverine Flood Frequency.
- Publish Info
- [S.l.] : The University of Wisconsin - Madison., 2021
- Publish Info
- Ann Arbor : ProQuest Dissertations & Theses, 2021
- Material Info
- 185 p.
- General Note
- Source: Dissertations Abstracts International, Volume: 83-02, Section: B.
- General Note
- Advisor: Wright, Daniel.
- 학위논문주기
- Thesis (Ph.D.)--The University of Wisconsin - Madison, 2021.
- Restrictions on Access Note
- This item must not be sold to any third party vendors.
- Subject Added Entry-Topical Term
- Hydrologic sciences.
- Subject Added Entry-Topical Term
- Atmospheric sciences.
- Subject Added Entry-Topical Term
- Water resources management.
- Subject Added Entry-Topical Term
- Storms.
- Subject Added Entry-Topical Term
- Trends.
- Subject Added Entry-Topical Term
- Floods.
- Subject Added Entry-Topical Term
- Climate change.
- Subject Added Entry-Topical Term
- Watersheds.
- Subject Added Entry-Topical Term
- Bias.
- Index Term-Uncontrolled
- Climate change impact studies
- Index Term-Uncontrolled
- Frequency analysis
- Index Term-Uncontrolled
- Process-based hydrological modeling
- Index Term-Uncontrolled
- Riverine floods
- Added Entry-Corporate Name
- The University of Wisconsin - Madison Civil & Environmental Engr
- Host Item Entry
- Dissertations Abstracts International. 83-02B.
- Host Item Entry
- Dissertation Abstract International
- Electronic Location and Access
- 로그인을 한후 보실 수 있는 자료입니다.
- 소장사항
-
202202 2022
- Control Number
- joongbu:609765
MARC
008220602s2021 ulk 00 kor■001000016053170
■00520220210093624
■020 ▼a9798534649277
■035 ▼a(MiAaPQ)AAI28644194
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a551
■1001 ▼aYu, Guo.
■24510▼aProcess-Based Understanding and Prediction of Riverine Flood Frequency.
■260 ▼a[S.l.]▼bThe University of Wisconsin - Madison. ▼c2021
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2021
■300 ▼a185 p.
■500 ▼aSource: Dissertations Abstracts International, Volume: 83-02, Section: B.
■500 ▼aAdvisor: Wright, Daniel.
■5021 ▼aThesis (Ph.D.)--The University of Wisconsin - Madison, 2021.
■506 ▼aThis item must not be sold to any third party vendors.
■590 ▼aSchool code: 0262.
■650 4▼aHydrologic sciences.
■650 4▼aAtmospheric sciences.
■650 4▼aWater resources management.
■650 4▼aStorms.
■650 4▼aTrends.
■650 4▼aFloods.
■650 4▼aClimate change.
■650 4▼aWatersheds.
■650 4▼aBias.
■653 ▼aClimate change impact studies
■653 ▼aFrequency analysis
■653 ▼aProcess-based hydrological modeling
■653 ▼aRiverine floods
■690 ▼a0388
■690 ▼a0725
■690 ▼a0595
■690 ▼a0404
■71020▼aThe University of Wisconsin - Madison▼bCivil & Environmental Engr.
■7730 ▼tDissertations Abstracts International▼g83-02B.
■773 ▼tDissertation Abstract International
■790 ▼a0262
■791 ▼aPh.D.
■792 ▼a2021
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16053170▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202202▼f2022
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