1974
DOI: 10.1021/es60094a006 View full text |Buy / Rent full text
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Abstract: An economic air pollution control model is formulated for determining the least cost of reaching various air qualnation of the minimum (control) cost of reaching given air Figure 1. Basic conceptual model for air pollution control Volume 8, Number 9,

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“…Trijonis 19 described one such approach that is based on the use of an isopleth diagram, as shown in Figure 1. A number of runs of an air quality model are made, each using a different combination of across-the-board VOC and NO x emissions reductions.…”
Section: Alc Optimization Using Isopleth Diagramsmentioning
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“…Trijonis 19 described one such approach that is based on the use of an isopleth diagram, as shown in Figure 1. A number of runs of an air quality model are made, each using a different combination of across-the-board VOC and NO x emissions reductions.…”
Section: Alc Optimization Using Isopleth Diagramsmentioning
“…In addition, Kohn (1970Kohn ( , 1972 and Trijonis (1972) have studied the problem of longterm air pollution control. Evaluations of multi-year emission control programs have been carried out for St. Louis (Kohn, 1970(Kohn, , 1972Farmer, et al, 1970) and Los Angeles (Trijonis, 1972).…”
Section: Conclusion and Significancementioning
“…What is required for each form of control is a methodology for the systematic determination of the best strategy from among all those possible. The development of a theory for setting long-term controls is in progress Kyan, 1971, 1972;Trijonis, 1972). The objective of this paper is the presentation of a theory for the determination of short-term, or real-time, control for urban air pollution.…”
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“…In the past few decades, researchers have reported various studies that describe methods for developing cost-effective control strategies for the emission least cost (ELC) and the ambient least cost (ALC) control problems. [1][2][3][4][5][6][7][8][9][10][11] These studies are based on a number of traditional optimization techniques, such as dynamic programming, integer programming, linear programming (LP), and mixed-integer programming (MIP). There is considerable difficulty, however, when these techniques are used for problems with pollutants that exhibit nonlinear atmospheric chemistry.…”
Section: Introductionmentioning