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Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India

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Development of outcome-based, multipollutant mobile source indicators.

Jorge E Pachon¹, Sivaraman Balachandran, Yongtao Hu

¹School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.

Journal of the Air & Waste Management Association (1995)

|May 24, 2012

Summary

New multipollutant indicators integrate carbon monoxide (CO), nitrogen oxides (NOx), and elemental carbon (EC) to better assess mobile source air pollution impacts. These indicators improve local traffic impact assessment and support health-outcome-based air quality management.

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Area of Science:

Environmental Science
Public Health
Atmospheric Chemistry

Background:

Mobile sources are significant contributors to air pollution.
Existing single-pollutant indicators may not fully capture complex mobile source impacts.
There is a need for integrated indicators for air quality and epidemiological analysis.

Purpose of the Study:

To develop and assess multipollutant indicators for mobile source impacts using CO, NOx, and EC.
To create both emission-based (IMSI(EB)) and health-outcome-based (IMSI(HB)) indicators.
To evaluate the utility of these indicators in air quality management and epidemiological studies.

Main Methods:

Analysis of readily available CO, NOx, and elemental carbon (EC) data.
Development of emission-based indicators (IMSI(EB)) weighted by gasoline and diesel emission ratios.
Sensitivity analysis and incorporation into an epidemiologic model to develop health-based indicators (IMSI(HB)).

Main Results:

Emission-based indicators (IMSI(EB)) showed higher correlation between sites impacted by traffic than single pollutants.
Uncertainty of IMSI(EB) is comparable to measurement and source apportionment uncertainties.
Health-based indicators (IMSI(HB)) demonstrated strong association with cardiovascular emergency department visits, suggesting better spatial representativeness.

Conclusions:

Outcome-based, multipollutant indicators provide a more comprehensive assessment of mobile source pollution.
These integrated indicators can enhance air quality management strategies.
The developed indicators support the establishment of multipollutant air quality standards.