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Evaluation and Calibration of Coupled Low-Cost Particulate Matter Sensors
Evaluation and Calibration of Coupled Low-Cost Particulate Matter Sensors
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20260202105646
- ISBN
- 9798270236311
- DDC
- 628
- 저자명
- Cargill, Tyler.
- 서명/저자
- Evaluation and Calibration of Coupled Low-Cost Particulate Matter Sensors
- 발행사항
- [Sl] : Washington University in St Louis, 2025
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2025
- 형태사항
- 212 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 87-06, Section: A.
- 주기사항
- Advisor: Turner, Jay;Williams, Brent.
- 학위논문주기
- Thesis (Ph.D.)--Washington University in St. Louis, 2025.
- 초록/해제
- 요약Low-cost sensors (LCS), if used appropriately, are useful instruments to elucidate human exposure to particles suspended in the air (i.e. particulate matter, PM). Characterizing this exposure is crucial, as exposure to PM2.5 (i.e. particles with aerodynamic diameter ≤ 2.5 μm) negatively affects the respiratory, cardiovascular, and other organ systems and is the leading environmental burden for global mortality. Similarly, exposure to particles with aerodynamic diameters greater than 2.5 μm and less than or equal to 10 μm, here forth termed as PMCoarse, is known to cause health ailments for the upper respiratory system. This dissertation focuses on the MODULAIRTM-PM (MOD-PM), a device manufactured by QuantAQ that couples two light-scattering low-cost PM sensors-the Plantower PMS5003 and the Alphasense OPC-N3-to measure both PM2.5 and PMCoarse. QuantAQ purportedly uses the PMS5003 to estimate the mass concentration of particles below the detection limit of the OPC-N3; in this case, the MOD-PM uses both the PMS5003 and OPC-N3 to calculate PM2.5 estimates and uses only the OPC-N3 to calculate PMCoarse estimates. This brings to question how well the MOD-PM couples the various light-scattering measurements of these LCS to accurately estimate PM2.5 and PMCoarse mass concentrations. This dissertation presents research to evaluate and calibrate the coupling of the LCS used in the MOD-PM. The first chapter outlines the light-scattering principles underpinning the LCS used in the MOD-PM to examine the strengths and weaknesses of QuantAQ's approach to coupling the PMS5003 and OPC-N3. A major limitation towards evaluating the PM estimates from the MOD-PM-the uncertainty of how the PMS5003 measurements are used to estimate the mass concentration of particles below the detection limit of the OPC-N3-is resolved by deriving an independent methodology to calibrate the PMS5003 to estimate PM mass concentrations for a size range of particles complementary to those detected by the OPC-N3. The second chapter utilizes this methodology in a locally weighted linear regression between PM estimates from MOD-PM and reference-grade devices to apportion error in PM2.5 and PM10 (i.e. PM2.5 + PMCoarse) estimates from the MOD-PM to the PMS5003 and OPC-N3. This regression demonstrates that the detection efficiency of the OPC-N3 causes this sensor to variably contribute to error in the PM2.5 and PM10 estimates of the MOD-PM. The third chapter utilizes gradient descent to calibrate the detection efficiency of the OPC-N3 by minimizing the error between MOD-PM and reference-grade estimates of PM2.5 and PMCoarse. This utilization of gradient descent lays the groundwork for future research attempting to infer calibration parameters of LCS through inverse modeling. Upon determining how to properly calibrate and couple the PMS5003 and OPC-N3, in the fourth chapter, these insights are used to measure the annual spatiotemporal trends of PM2.5 and PMCoarse from an outdoor network of fifteen MOD-PM devices in portions of the City of St. Louis and nearby north St. Louis County. This pragmatic use of the MOD-PM requires the methodologies derived to calibrate the PMS5003 and OPC-N3 to be repurposed to address practical issues affecting MOD-PM measurement error such as seasonal variations and sensor degradation. In addition to this research on coupled low-cost PM sensors, the fifth chapter describes work to improve and demonstrate the Multichannel Organics In situ enviRonmental Analyzer (MOIRA) for mobile platform measurements of volatile organic compounds.
- 일반주제명
- Atmospheric sciences
- 일반주제명
- Environmental justice
- 키워드
- Low-cost sensors
- 키워드
- Alphasense
- 키워드
- Bandwidths
- 기타저자
- Washington University in St. Louis Energy Environmental & Chemical Engineering
- 기본자료저록
- Dissertations Abstracts International. 87-06A.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■020 ▼a9798270236311
■035 ▼a(MiAaPQ)AAI32401002
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a628
■1001 ▼aCargill, Tyler.
■24510▼aEvaluation and Calibration of Coupled Low-Cost Particulate Matter Sensors
■260 ▼a[Sl]▼bWashington University in St Louis▼c2025
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2025
■300 ▼a212 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 87-06, Section: A.
■500 ▼aAdvisor: Turner, Jay;Williams, Brent.
■5021 ▼aThesis (Ph.D.)--Washington University in St. Louis, 2025.
■520 ▼aLow-cost sensors (LCS), if used appropriately, are useful instruments to elucidate human exposure to particles suspended in the air (i.e. particulate matter, PM). Characterizing this exposure is crucial, as exposure to PM2.5 (i.e. particles with aerodynamic diameter ≤ 2.5 μm) negatively affects the respiratory, cardiovascular, and other organ systems and is the leading environmental burden for global mortality. Similarly, exposure to particles with aerodynamic diameters greater than 2.5 μm and less than or equal to 10 μm, here forth termed as PMCoarse, is known to cause health ailments for the upper respiratory system. This dissertation focuses on the MODULAIRTM-PM (MOD-PM), a device manufactured by QuantAQ that couples two light-scattering low-cost PM sensors-the Plantower PMS5003 and the Alphasense OPC-N3-to measure both PM2.5 and PMCoarse. QuantAQ purportedly uses the PMS5003 to estimate the mass concentration of particles below the detection limit of the OPC-N3; in this case, the MOD-PM uses both the PMS5003 and OPC-N3 to calculate PM2.5 estimates and uses only the OPC-N3 to calculate PMCoarse estimates. This brings to question how well the MOD-PM couples the various light-scattering measurements of these LCS to accurately estimate PM2.5 and PMCoarse mass concentrations. This dissertation presents research to evaluate and calibrate the coupling of the LCS used in the MOD-PM. The first chapter outlines the light-scattering principles underpinning the LCS used in the MOD-PM to examine the strengths and weaknesses of QuantAQ's approach to coupling the PMS5003 and OPC-N3. A major limitation towards evaluating the PM estimates from the MOD-PM-the uncertainty of how the PMS5003 measurements are used to estimate the mass concentration of particles below the detection limit of the OPC-N3-is resolved by deriving an independent methodology to calibrate the PMS5003 to estimate PM mass concentrations for a size range of particles complementary to those detected by the OPC-N3. The second chapter utilizes this methodology in a locally weighted linear regression between PM estimates from MOD-PM and reference-grade devices to apportion error in PM2.5 and PM10 (i.e. PM2.5 + PMCoarse) estimates from the MOD-PM to the PMS5003 and OPC-N3. This regression demonstrates that the detection efficiency of the OPC-N3 causes this sensor to variably contribute to error in the PM2.5 and PM10 estimates of the MOD-PM. The third chapter utilizes gradient descent to calibrate the detection efficiency of the OPC-N3 by minimizing the error between MOD-PM and reference-grade estimates of PM2.5 and PMCoarse. This utilization of gradient descent lays the groundwork for future research attempting to infer calibration parameters of LCS through inverse modeling. Upon determining how to properly calibrate and couple the PMS5003 and OPC-N3, in the fourth chapter, these insights are used to measure the annual spatiotemporal trends of PM2.5 and PMCoarse from an outdoor network of fifteen MOD-PM devices in portions of the City of St. Louis and nearby north St. Louis County. This pragmatic use of the MOD-PM requires the methodologies derived to calibrate the PMS5003 and OPC-N3 to be repurposed to address practical issues affecting MOD-PM measurement error such as seasonal variations and sensor degradation. In addition to this research on coupled low-cost PM sensors, the fifth chapter describes work to improve and demonstrate the Multichannel Organics In situ enviRonmental Analyzer (MOIRA) for mobile platform measurements of volatile organic compounds.
■590 ▼aSchool code: 0252.
■650 4▼aEnvironmental engineering
■650 4▼aAtmospheric sciences
■650 4▼aEnvironmental justice
■653 ▼aLow-cost sensors
■653 ▼aAlphasense
■653 ▼aParticulate matter
■653 ▼aAerodynamic diameters
■653 ▼aBandwidths
■690 ▼a0775
■690 ▼a0725
■690 ▼a0619
■71020▼aWashington University in St. Louis▼bEnergy, Environmental & Chemical Engineering.
■7730 ▼tDissertations Abstracts International▼g87-06A.
■790 ▼a0252
■791 ▼aPh.D.
■792 ▼a2025
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17360977▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
