Literature DB >> 19603734

Remote sensing of particulate pollution from space: have we reached the promised land?

Raymond M Hoff1, Sundar A Christopher.   

Abstract

The recent literature on satellite remote sensing of air quality is reviewed. 2009 is the 50th anniversary of the first satellite atmospheric observations. For the first 40 of those years, atmospheric composition measurements, meteorology, and atmospheric structure and dynamics dominated the missions launched. Since 1995, 42 instruments relevant to air quality measurements have been put into orbit. Trace gases such as ozone, nitric oxide, nitrogen dioxide, water, oxygen/tetraoxygen, bromine oxide, sulfur dioxide, formaldehyde, glyoxal, chlorine dioxide, chlorine monoxide, and nitrate radical have been measured in the stratosphere and troposphere in column measurements. Aerosol optical depth (AOD) is a focus of this review and a significant body of literature exists that shows that ground-level fine particulate matter (PM2.5) can be estimated from columnar AOD. Precision of the measurement of AOD is +/-20% and the prediction of PM2.5 from AOD is order +/-30% in the most careful studies. The air quality needs that can use such predictions are examined. Satellite measurements are important to event detection, transport and model prediction, and emission estimation. It is suggested that ground-based measurements, models, and satellite measurements should be viewed as a system, each component of which is necessary to better understand air quality.

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Year:  2009        PMID: 19603734

Source DB:  PubMed          Journal:  J Air Waste Manag Assoc        ISSN: 1096-2247            Impact factor:   2.235


  43 in total

1.  Exposure assessment for estimation of the global burden of disease attributable to outdoor air pollution.

Authors:  Michael Brauer; Markus Amann; Rick T Burnett; Aaron Cohen; Frank Dentener; Majid Ezzati; Sarah B Henderson; Michal Krzyzanowski; Randall V Martin; Rita Van Dingenen; Aaron van Donkelaar; George D Thurston
Journal:  Environ Sci Technol       Date:  2012-01-06       Impact factor: 9.028

2.  Estimating national-scale ground-level PM25 concentration in China using geographically weighted regression based on MODIS and MISR AOD.

Authors:  Wei You; Zengliang Zang; Lifeng Zhang; Yi Li; Weiqi Wang
Journal:  Environ Sci Pollut Res Int       Date:  2016-01-16       Impact factor: 4.223

3.  Predicting regional space-time variation of PM2.5 with land-use regression model and MODIS data.

Authors:  Liang Mao; Youliang Qiu; Claudia Kusano; Xiaohui Xu
Journal:  Environ Sci Pollut Res Int       Date:  2011-06-23       Impact factor: 4.223

4.  Improving Surface PM2.5 Forecasts in the United States Using an Ensemble of Chemical Transport Model Outputs: 1. Bias Correction With Surface Observations in Nonrural Areas.

Authors:  Huanxin Zhang; Jun Wang; Lorena Castro García; Cui Ge; Todd Plessel; James Szykman; Benjamin Murphy; Tanya L Spero
Journal:  J Geophys Res Atmos       Date:  2020-07-22       Impact factor: 4.261

5.  Multi-Angle Imager for Aerosols.

Authors:  Yang Liu; David J Diner
Journal:  Public Health Rep       Date:  2016-12-12       Impact factor: 2.792

6.  Statistical evaluation of the feasibility of satellite-retrieved cloud parameters as indicators of PM2.5 levels.

Authors:  Chao Yu; Larry Di Girolamo; Liangfu Chen; Xueying Zhang; Yang Liu
Journal:  J Expo Sci Environ Epidemiol       Date:  2014-07-23       Impact factor: 5.563

7.  Developing particle emission inventories using remote sensing (PEIRS).

Authors:  Chia-Hsi Tang; Brent A Coull; Joel Schwartz; Alexei I Lyapustin; Qian Di; Petros Koutrakis
Journal:  J Air Waste Manag Assoc       Date:  2017-01       Impact factor: 2.235

8.  RELATIONSHIP BETWEEN AEROSOL OPTICAL DEPTH AND PARTICULATE MATTER OVER SINGAPORE: EFFECTS OF AEROSOL VERTICAL DISTRIBUTIONS.

Authors:  Boon Ning Chew; James R Campbell; Edward J Hyer; Santo V Salinas; Jeffrey S Reid; Ellsworth J Welton; Brent N Holben; Soo Chin Liew
Journal:  Aerosol Air Qual Res       Date:  2016-10-30       Impact factor: 3.063

9.  Use of satellite-based aerosol optical depth and spatial clustering to predict ambient PM2.5 concentrations.

Authors:  Hyung Joo Lee; Brent A Coull; Michelle L Bell; Petros Koutrakis
Journal:  Environ Res       Date:  2012-07-28       Impact factor: 6.498

10.  Global estimates of ambient fine particulate matter concentrations from satellite-based aerosol optical depth: development and application.

Authors:  Aaron van Donkelaar; Randall V Martin; Michael Brauer; Ralph Kahn; Robert Levy; Carolyn Verduzco; Paul J Villeneuve
Journal:  Environ Health Perspect       Date:  2010-06       Impact factor: 9.031

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