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Modeling Aerosol Transport for Stratospheric Solar Geoengineering: From Particle to Plume Scale- [electronic resource]
Modeling Aerosol Transport for Stratospheric Solar Geoengineering: From Particle to Plume Scale- [electronic resource]
상세정보
- 자료유형
- 학위논문
- Control Number
- 0016932333
- International Standard Book Number
- 9798379613099
- Dewey Decimal Classification Number
- 628
- Main Entry-Personal Name
- Sun, Hongwei.
- Publication, Distribution, etc. (Imprint
- [S.l.] : Harvard University., 2023
- Publication, Distribution, etc. (Imprint
- Ann Arbor : ProQuest Dissertations & Theses, 2023
- Physical Description
- 1 online resource(108 p.)
- General Note
- Source: Dissertations Abstracts International, Volume: 84-12, Section: B.
- General Note
- Advisor: Keith, D.
- Dissertation Note
- Thesis (Ph.D.)--Harvard University, 2023.
- Restrictions on Access Note
- This item must not be sold to any third party vendors.
- Summary, Etc.
- 요약Stratospheric Aerosol Injection (SAI) aims to offset some climate hazards by releasing aerosols into the stratosphere to reflect solar radiation. In this thesis, we outline the use of new modeling methods to simulate aerosol transport in the stratosphere for SAI from particle scale (Lagrangian trajectory model) to plume scale (plume-in-grid model).We use a Lagrangian trajectory model driven by reanalyzed stratospheric winds and modified to include sedimentation to model the transport of each injected particle (from SAI) in the stratosphere and quantify the sensitivity of particle lifetime to injection locations. From the physical perspective, we analyze how background circulations influence particle transport and lifetime in the stratosphere by considering Brewer-Dobson Circulation, Quasi-Biennial Oscillation, tropopause height, poleward winds, etc. From the engineering perspective, we explore various SAI injection strategies to increase particle lifetime in the stratosphere. For example, we find that an optimal choice of injection locations can increase particle lifetime by 44% at 20 km, compared to without choosing injection locations.SAI would almost certainly use aircraft for deployment, and these aircraft would produce line-shaped plumes with strong concentration gradients, which are hard for the global Eulerian model to resolve. To help global Eulerian models resolve subgrid plumes in the stratosphere, a Lagrangian plume model, comprising a Lagrangian trajectory model and an adaptive-grid plume model with a sequence of plume cross-section representations (from a highly resolved 2-D grid to a simplified 1-D grid based on a tradeoff between the accuracy and computational cost), is created and embedded into a global Eulerian model (i.e., GEOS-Chem model) to establish a multiscale Plume-in-Grid (PiG) model. We compare this PiG model (with plume model) to the GEOS-Chem model (without plume model) based on a 1-month simulation of continuous inert tracer emissions by aircraft in the stratosphere in several aspects including trace concentration, trace mixing (entropy), nonlinear processes, and computing efficiency. For example, with the plume model, the final injected tracer is more concentrated and approximately 1/3 of the tracer is at concentrations 2-4 orders of magnitude larger compared to with-out the plume model.
- Subject Added Entry-Topical Term
- Environmental science.
- Subject Added Entry-Topical Term
- Atmospheric sciences.
- Subject Added Entry-Topical Term
- Applied mathematics.
- Subject Added Entry-Topical Term
- Aeronomy.
- Index Term-Uncontrolled
- Particle transport
- Index Term-Uncontrolled
- Plume-in-grid model
- Index Term-Uncontrolled
- Solar geoengineering
- Index Term-Uncontrolled
- Stratosphere
- Index Term-Uncontrolled
- Lagrangian plume model
- Added Entry-Corporate Name
- Harvard University Engineering and Applied Sciences - Engineering Sciences
- Host Item Entry
- Dissertations Abstracts International. 84-12B.
- Host Item Entry
- Dissertation Abstract International
- Electronic Location and Access
- 로그인을 한후 보실 수 있는 자료입니다.
- Control Number
- joongbu:642048
MARC
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■020 ▼a9798379613099
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■040 ▼aMiAaPQ▼cMiAaPQ
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■1001 ▼aSun, Hongwei.▼0(orcid)0000-0002-9993-9987
■24510▼aModeling Aerosol Transport for Stratospheric Solar Geoengineering: From Particle to Plume Scale▼h[electronic resource]
■260 ▼a[S.l.]▼bHarvard University. ▼c2023
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2023
■300 ▼a1 online resource(108 p.)
■500 ▼aSource: Dissertations Abstracts International, Volume: 84-12, Section: B.
■500 ▼aAdvisor: Keith, D.
■5021 ▼aThesis (Ph.D.)--Harvard University, 2023.
■506 ▼aThis item must not be sold to any third party vendors.
■520 ▼aStratospheric Aerosol Injection (SAI) aims to offset some climate hazards by releasing aerosols into the stratosphere to reflect solar radiation. In this thesis, we outline the use of new modeling methods to simulate aerosol transport in the stratosphere for SAI from particle scale (Lagrangian trajectory model) to plume scale (plume-in-grid model).We use a Lagrangian trajectory model driven by reanalyzed stratospheric winds and modified to include sedimentation to model the transport of each injected particle (from SAI) in the stratosphere and quantify the sensitivity of particle lifetime to injection locations. From the physical perspective, we analyze how background circulations influence particle transport and lifetime in the stratosphere by considering Brewer-Dobson Circulation, Quasi-Biennial Oscillation, tropopause height, poleward winds, etc. From the engineering perspective, we explore various SAI injection strategies to increase particle lifetime in the stratosphere. For example, we find that an optimal choice of injection locations can increase particle lifetime by 44% at 20 km, compared to without choosing injection locations.SAI would almost certainly use aircraft for deployment, and these aircraft would produce line-shaped plumes with strong concentration gradients, which are hard for the global Eulerian model to resolve. To help global Eulerian models resolve subgrid plumes in the stratosphere, a Lagrangian plume model, comprising a Lagrangian trajectory model and an adaptive-grid plume model with a sequence of plume cross-section representations (from a highly resolved 2-D grid to a simplified 1-D grid based on a tradeoff between the accuracy and computational cost), is created and embedded into a global Eulerian model (i.e., GEOS-Chem model) to establish a multiscale Plume-in-Grid (PiG) model. We compare this PiG model (with plume model) to the GEOS-Chem model (without plume model) based on a 1-month simulation of continuous inert tracer emissions by aircraft in the stratosphere in several aspects including trace concentration, trace mixing (entropy), nonlinear processes, and computing efficiency. For example, with the plume model, the final injected tracer is more concentrated and approximately 1/3 of the tracer is at concentrations 2-4 orders of magnitude larger compared to with-out the plume model.
■590 ▼aSchool code: 0084.
■650 4▼aEnvironmental science.
■650 4▼aAtmospheric sciences.
■650 4▼aApplied mathematics.
■650 4▼aAeronomy.
■653 ▼aParticle transport
■653 ▼aPlume-in-grid model
■653 ▼aSolar geoengineering
■653 ▼aStratosphere
■653 ▼aLagrangian plume model
■690 ▼a0768
■690 ▼a0725
■690 ▼a0367
■690 ▼a0364
■71020▼aHarvard University▼bEngineering and Applied Sciences - Engineering Sciences.
■7730 ▼tDissertations Abstracts International▼g84-12B.
■773 ▼tDissertation Abstract International
■790 ▼a0084
■791 ▼aPh.D.
■792 ▼a2023
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16932333▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202402▼f2024
