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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...

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Published in:Journal of Environmental Management Vol. 92; no. 3; pp. 813 - 827
Main Authors: Lv, Y., Huang, G.H., Li, Y.P., Yang, Z.F., Sun, W.
Format: Case Study
Published: Academic Press Inc. Mar2011
Subjects:
Regional planning
Decision making
Air quality management
Air pollution prevention
Computer software
Interval analysis
Probability theory
Air quality indexes
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