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Greenhouse Gas Detection in the Energy System: An Integration of Remote Sensing and GIS Database
Greenhouse Gas Detection in the Energy System: An Integration of Remote Sensing and GIS Database
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20250211151404
- ISBN
- 9798382235684
- DDC
- 621
- 저자명
- Zhan Zhang.
- 서명/저자
- Greenhouse Gas Detection in the Energy System: An Integration of Remote Sensing and GIS Database
- 발행사항
- [Sl] : Stanford University, 2024
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2024
- 주기사항
- Source: Dissertations Abstracts International, Volume: 85-11, Section: B.
- 주기사항
- Advisor: Brandt, Adam R.
- 학위논문주기
- Thesis (Ph.D.)--Stanford University, 2024.
- 초록/해제
- 요약The oil and gas (O&G) system significantly contributes to global anthropogenic greenhouse gas emissions (GHGs). The rapid development of remote sensing technologies enables direct measuring of point-source GHGs within the O&G system. These technologies, known as "top-down" methods, demonstrated their capabilities in measuring methane, carbon dioxide, and gas flaring by collecting radiance in the shortwave infrared using airborne or spaceborne remote sensors. This study aims to enhance our understanding of GHGs in the O&G system using remote sensing and geographic information system (GIS) techniques. We first estimated field-level gas flaring volumes using the satellite gas flaring data and a global O&G field GIS database. We then introduced an improved method for detecting and quantifying methane emissions based on Sentinel-2 satellite imagery. Finally, we applied imaging spectroscopy methods to measure carbon dioxide emissions within the liquefied natural gas (LNG) supply chain, with a particular focus on LNG terminals.
- 일반주제명
- Energy
- 일반주제명
- Remote sensing
- 키워드
- Greenhouse gases
- 키워드
- Energy systems
- 기타저자
- Stanford University.
- 기본자료저록
- Dissertations Abstracts International. 85-11B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■007cr#unu||||||||
■020 ▼a9798382235684
■035 ▼a(MiAaPQ)AAI31255807
■035 ▼a(MiAaPQ)nn240vk2786
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a621
■1001 ▼aZhan Zhang.
■24510▼aGreenhouse Gas Detection in the Energy System: An Integration of Remote Sensing and GIS Database
■260 ▼a[Sl]▼bStanford University▼c2024
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2024
■500 ▼aSource: Dissertations Abstracts International, Volume: 85-11, Section: B.
■500 ▼aAdvisor: Brandt, Adam R.
■5021 ▼aThesis (Ph.D.)--Stanford University, 2024.
■520 ▼aThe oil and gas (O&G) system significantly contributes to global anthropogenic greenhouse gas emissions (GHGs). The rapid development of remote sensing technologies enables direct measuring of point-source GHGs within the O&G system. These technologies, known as "top-down" methods, demonstrated their capabilities in measuring methane, carbon dioxide, and gas flaring by collecting radiance in the shortwave infrared using airborne or spaceborne remote sensors. This study aims to enhance our understanding of GHGs in the O&G system using remote sensing and geographic information system (GIS) techniques. We first estimated field-level gas flaring volumes using the satellite gas flaring data and a global O&G field GIS database. We then introduced an improved method for detecting and quantifying methane emissions based on Sentinel-2 satellite imagery. Finally, we applied imaging spectroscopy methods to measure carbon dioxide emissions within the liquefied natural gas (LNG) supply chain, with a particular focus on LNG terminals.
■590 ▼aSchool code: 0212.
■650 4▼aEnergy
■650 4▼aGeographic information science
■650 4▼aRemote sensing
■653 ▼aGreenhouse gases
■653 ▼aEnergy systems
■690 ▼a0799
■690 ▼a0370
■690 ▼a0791
■71020▼aStanford University.
■7730 ▼tDissertations Abstracts International▼g85-11B.
■790 ▼a0212
■791 ▼aPh.D.
■792 ▼a2024
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17161500▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
