Monitoring Air Pollution in the Urban Environment by Remote Sensing

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Information on spatial variability of aerosol concentrations is important for understanding pollution transport and for assessing human exposure to the pollutants in health-related studies. Particle and gaseous concentrations are traditionally measured from ground monitoring sites, which are often limited in the spatial coverage. In contrast, satellite imagery provides continuous measurements of terrestrial and atmospheric components over a large coverage. The purpose of this chapter is to discuss the fundamental c onsiderations in transforming from satellite-derived aerosol optical depth (AOD) retrievals into particulate matter (PM) concentrations estimations at the ground level and per pixel. Specifically, we firstly review the complexity of air pollution monitoring from space and discuss a promising conceptual framework and appropriate research questions. We provide basic definitions of commonly used concepts in the field and show the difference in data sampling and coverage when using different satellite AOD retrievals varying in spatial resolutions and retrieval assumptions. We then compare between satellite-retrieved AOD and ground-based PM2.5 concentrations using several examples and discuss different approaches to model this relationship. We further present different covariates being commonly used in various statistical models, select the most important ones, and show the importanc e of including different data sets in the models. Finally, we discuss current and future efforts as well as new promising technologies that can advance urban air quality research. Given the complexity of air quality monitoring, we believe that only a comprehensive approach combined with advanced technological development can help shed light on different pollution sources and possible factors controlling their variability.

Original languageEnglish
Title of host publicationUrban Remote Sensing
Subtitle of host publicationMonitoring, Synthesis, and Modeling in the Urban Environment, Second Edition
EditorsXiaojun Yang
Place of PublicationHoboken, NJ
Pages391-422
Number of pages32
ISBN (Electronic)9781119625865
DOIs
StatePublished - 1 Jan 2021

Keywords

  • MODIS MAIAC
  • aerosol optical depth
  • fine particulate matter
  • high-resolution aerosol retrieval
  • intra-urban pollution
  • particulate matter
  • scales of pollution
  • variability AOD-PM 2.5 correlation

All Science Journal Classification (ASJC) codes

  • Engineering(all)
  • Earth and Planetary Sciences(all)

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