Journal article
Potential for Advanced Technology to Improve Air Quality and Human Health in Shanghai
Environmental management (New York), Vol.23(3), pp.279-295
04/1999
DOI: 10.1007/s002679900186
PMID: 9950692
Abstract
Air quality in most Asian cities is poor and getting worse. It will soon become impossible to sustain population, economic, and industrial growth without severe deterioration of the atmospheric environment. This paper addresses the city of Shanghai, the air-quality problems it faces over the
next 30 years, and the potential of advanced technology to alleviate these problems. Population, energy consumption, and emission profiles are developed for the city at 0.1° 3 0.1° resolution and extrapolated from 1990 to 2020 using sector-specific economic growth factors. Within the context of the RAINS-Asia model, eight technology scenarios are examined for their effects on ambient concentrations of sulfur dioxide and sulfate and their emission control costs. Without new control measures, it is projected that the number of people exposed to sulfur dioxide concentrations in excess of guidelines established by the World Health Organization will rise from 650,000 in 1990 to more than 14 million in 2020. It is apparent that efforts to reduce emissions are likely to have significant health benefits, measured in terms of the cost of reducing the number of people exposed to concentrations in excess of the guidelines ($10–50 annually per person protected). Focusing efforts on the control of new coal-fired power plants and industrial facilities has the greatest benefit. However, none of the scenarios examined is alone capable of arresting the increases in emissions, concentrations, and population exposure. It is concluded that combinations of stringent scenarios in several sectors will be necessary to stabilize the situation, at a potential cost of $500 million annually by the year 2020.
Details
- Title: Subtitle
- Potential for Advanced Technology to Improve Air Quality and Human Health in Shanghai
- Creators
- DAVID G STREETS - Decision and Information Sciences Division Argonne National Laboratory 9700 South Cass Avenue Argonne, Illinois 60439, USA USLEYLA HEDAYAT - Decision and Information Sciences Division Argonne National Laboratory 9700 South Cass Avenue Argonne, Illinois 60439, USA USGREGORY R CARMICHAEL - Center for Global and Regional Environmental Research University of Iowa Iowa City, Iowa 52242, USA USRICHARD L ARNDT - Center for Global and Regional Environmental Research University of Iowa Iowa City, Iowa 52242, USA USL. DOUGLAS CARTER - Office of Fossil Energy United States Department of Energy 1000 Independence Avenue, S.W. Washington, DC 20585, USA US
- Resource Type
- Journal article
- Publication Details
- Environmental management (New York), Vol.23(3), pp.279-295
- Publisher
- Springer-Verlag; Berlin/Heidelberg
- DOI
- 10.1007/s002679900186
- PMID
- 9950692
- ISSN
- 0364-152X
- eISSN
- 1432-1009
- Language
- English
- Date published
- 04/1999
- Academic Unit
- Civil and Environmental Engineering; Nursing; Chemical and Biochemical Engineering
- Record Identifier
- 9984003417902771
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