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Automated Model Reduction of Atmospheric Chemical Mechanisms
Automated Model Reduction of Atmospheric Chemical Mechanisms
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20260202103613
- ISBN
- 9798286440085
- DDC
- 551.5
- 서명/저자
- Automated Model Reduction of Atmospheric Chemical Mechanisms
- 발행사항
- [Sl] : Columbia University, 2025
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2025
- 형태사항
- 220 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 86-12, Section: B.
- 주기사항
- Advisor: McNeill, V. Faye.
- 학위논문주기
- Thesis (Ph.D.)--Columbia University, 2025.
- 초록/해제
- 요약The atmospheric chemistry of volatile organic compounds (VOC) has a major influence on atmospheric pollutants and particle formation. Accurate modeling of this chemistry is essential for air quality models. Complete representations of VOC oxidation chemistry are far too large for spatiotemporal simulations of the atmosphere, necessitating reduced mechanisms. This work details several new graph theory-based methods for mechanism reduction, optimization, and evaluation. Our newest algorithm, the Automated MOdel REduction 2.0 (AMORE 2.0), efficiently and accurately reduces VOC oxidation mechanisms to a desired size by removing, merging, and rerouting sections of the graph representation of the mechanism. This algorithm can reduce large mechanisms by over 90%, making them usable in atmospheric simulations. This work will improve our ability to accurately model the atmosphere, thereby supporting air quality management and advancing atmospheric chemical science.
- 일반주제명
- Atmospheric chemistry
- 일반주제명
- Chemical engineering
- 일반주제명
- Organic chemistry
- 키워드
- Aerosol
- 키워드
- Algorithms
- 키워드
- Graph theory
- 기타저자
- Columbia University Chemical Engineering
- 기본자료저록
- Dissertations Abstracts International. 86-12B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■00520260202103613
■006m o d
■007cr#unu||||||||
■020 ▼a9798286440085
■035 ▼a(MiAaPQ)AAI32043802
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a551.5
■1001 ▼aWiser, Forwood Cloud, IV.
■24510▼aAutomated Model Reduction of Atmospheric Chemical Mechanisms
■260 ▼a[Sl]▼bColumbia University▼c2025
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2025
■300 ▼a220 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 86-12, Section: B.
■500 ▼aAdvisor: McNeill, V. Faye.
■5021 ▼aThesis (Ph.D.)--Columbia University, 2025.
■520 ▼aThe atmospheric chemistry of volatile organic compounds (VOC) has a major influence on atmospheric pollutants and particle formation. Accurate modeling of this chemistry is essential for air quality models. Complete representations of VOC oxidation chemistry are far too large for spatiotemporal simulations of the atmosphere, necessitating reduced mechanisms. This work details several new graph theory-based methods for mechanism reduction, optimization, and evaluation. Our newest algorithm, the Automated MOdel REduction 2.0 (AMORE 2.0), efficiently and accurately reduces VOC oxidation mechanisms to a desired size by removing, merging, and rerouting sections of the graph representation of the mechanism. This algorithm can reduce large mechanisms by over 90%, making them usable in atmospheric simulations. This work will improve our ability to accurately model the atmosphere, thereby supporting air quality management and advancing atmospheric chemical science.
■590 ▼aSchool code: 0054.
■650 4▼aAtmospheric chemistry
■650 4▼aChemical engineering
■650 4▼aOrganic chemistry
■653 ▼aAerosol
■653 ▼aAlgorithms
■653 ▼aChemical mechanisms
■653 ▼aGraph theory
■653 ▼aMechanism reduction
■653 ▼aVolatile organic compounds
■690 ▼a0371
■690 ▼a0542
■690 ▼a0490
■71020▼aColumbia University▼bChemical Engineering.
■7730 ▼tDissertations Abstracts International▼g86-12B.
■790 ▼a0054
■791 ▼aPh.D.
■792 ▼a2025
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17357882▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
