Document Detail


Remote sensing of particulate pollution from space: have we reached the promised land?
MedLine Citation:
PMID:  19603734     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
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.
Authors:
Raymond M Hoff; Sundar A Christopher
Related Documents :
9373924 - Carbon monoxide poisonings from small, gasoline-powered, internal combustion engines: j...
12058824 - A fuzzy markov approach for assessing groundwater pollution potential for landfill siting.
15658164 - Evaluation of an intensive sampling and analysis method for carbon monoxide.
11032144 - Modeling assessment of transport and deposition patterns of anthropogenic mercury air e...
22455934 - Comparison on genomic predictions using three gblup methods and two single-step blendin...
17354954 - Physiome model based state-space framework for cardiac kinematics recovery.
Publication Detail:
Type:  Journal Article; Review    
Journal Detail:
Title:  Journal of the Air & Waste Management Association (1995)     Volume:  59     ISSN:  1096-2247     ISO Abbreviation:  J Air Waste Manag Assoc     Publication Date:  2009 Jun 
Date Detail:
Created Date:  2009-07-16     Completed Date:  2009-08-18     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9503111     Medline TA:  J Air Waste Manag Assoc     Country:  United States    
Other Details:
Languages:  eng     Pagination:  645-75; discussion 642-4     Citation Subset:  IM    
Affiliation:
Department of Physics and the Joint Center for Earth Systems Technology/Goddard Earth Sciences and Technology Center, University of Maryland, Baltimore County, Baltimore, MD 21250, USA. hoff@umbc.edu
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:
Air Pollutants / chemistry*
Air Pollution
Environmental Monitoring*
Optical Phenomena
Particulate Matter / chemistry*
Spacecraft*
Chemical
Reg. No./Substance:
0/Air Pollutants; 0/Particulate Matter

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


Previous Document:  Microfiltration membrane plant start up: a case study with autopsy and permeability recovery analysi...
Next Document:  Gaseous oxygen uptake in porous media at different moisture contents and airflow velocities.