A two-stage inexact joint-probabilistic programming method for air quality management under uncertainty
A two-stage inexact joint-probabilistic programming (TIJP) method is developed for planning a regional air quality management system with multiple pollutants and multiple sources. The TIJP method incorporates the techniques of two-stage stochastic programming, joint-probabilistic constraint programm...
| Published in: | Journal of Environmental Management Vol. 92; no. 3; pp. 813 - 827 |
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| Main Authors: | , , , , |
| Format: | Case Study |
| Published: |
Academic Press Inc.
Mar2011
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| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=57072760&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 57072760 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 03014797 EMJ jtl: Journal of Environmental Management issn: 03014797 maglogo: N pubinfo: dt: Mar2011 vid: 92 iid: 3 pid: 735 pub: Academic Press Inc. artinfo: ui: 57072760 10.1016/j.jenvman.2010.10.027 ppf: 813 ppct: 14 formats: tig: atl: A two-stage inexact joint-probabilistic programming method for air quality management under uncertainty aug: au: Lv, Y. Huang, G.H. Li, Y.P. Yang, Z.F. Sun, W. affil: State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China S-C Energy and Environmental Research Academy, North China Electric Power University, Beijing 102206, China su: Regional planning Decision making Air quality management Air pollution prevention Computer software Interval analysis Probability theory Air quality indexes sug: subj: Regional planning Decision making Computer, computer peripheral and pre-packaged software merchant wholesalers Computer and Computer Peripheral Equipment and Software Merchant Wholesalers Computer and software stores Software publishers (except video game publishers) Administration of Urban Planning and Community and Rural Development Air quality management Air pollution prevention Computer software Interval analysis Probability theory Air quality indexes keyword: Air quality Joint-probabilistic constraint Management Multiple pollutants Two-stage stochastic programming Uncertainty Air quality Joint-probabilistic constraint Management Multiple pollutants Two-stage stochastic programming Uncertainty ab: A two-stage inexact joint-probabilistic programming (TIJP) method is developed for planning a regional air quality management system with multiple pollutants and multiple sources. The TIJP method incorporates the techniques of two-stage stochastic programming, joint-probabilistic constraint programming and interval mathematical programming, where uncertainties expressed as probability distributions and interval values can be addressed. Moreover, it can not only examine the risk of violating joint-probability constraints, but also account for economic penalties as corrective measures against any infeasibility. The developed TIJP method is applied to a case study of a regional air pollution control problem, where the air quality index (AQI) is introduced for evaluation of the integrated air quality management system associated with multiple pollutants. The joint-probability exists in the environmental constraints for AQI, such that individual probabilistic constraints for each pollutant can be efficiently incorporated within the TIJP model. The results indicate that useful solutions for air quality management practices have been generated; they can help decision makers to identify desired pollution abatement strategies with minimized system cost and maximized environmental efficiency. pubtype: Academic Journal doctype: Case Study src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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