CHANCE-CONSTRAINED DYNAMIC MODEL OF AIR QUALITY MANAGEMENT

This paper develops and applies a modelling approach aimed at overcoming the problem of the nonacceptability of TVECS (time-variable emission control strategies). Based on chance constrained programming techniques, this new modeling methodology leads to the specification of least-cost time-linked maximum emissions for any set of polluting sources, while ensuring that all relevant air quality standards are achieved with a given reliability. The paper reviews the related literature, details the methodology, and describes the data and application of the methodology. Areas for future research are noted.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/8675387
• Corporate Authors:

  American Society of Civil Engineers

  345 East 47th Street
  New York, NY  United States  10017-2398
• Authors:
  • Guldmann, J M
• Publication Date: 1988-10

Media Info

• Features: Appendices; Figures; References; Tables;
• Pagination: p. 1116-35
• Serial:
  • Journal of Environmental Engineering
  • Volume: 114
  • Issue Number: 5
  • Publisher: American Society of Civil Engineers
  • ISSN: 0733-9372
  • Serial URL: http://ojps.aip.org/eeo

Subject/Index Terms

• TRT Terms: Air pollution; Dynamics; Environmental protection; Mathematical models; Pollutants; Pollution; Specifications
• Uncontrolled Terms: Models
• Old TRIS Terms: Dynamic conditions
• Subject Areas: Administration and Management; Environment; Highways;

Filing Info

• Accession Number: 00476278
• Record Type: Publication
• Files: TRIS
• Created Date: Sep 30 1988 12:00AM