A Mathematical Programming Model for Air Pollution Control*

Kohn, Robert E.

doi:10.1111/j.1949-8594.1969.tb08490.x

Cited by 10 publications

(7 citation statements)

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“…Atmospheric quality management is essentially the process of the analysis and synthesis to the air pollution control system. So-called atmospheric system analysis is qualitative and quantitative research for an atmospheric area system or facilities system, which include that to evaluate the current situation, to find out the main environment problems, to put a series of optional target projects, and to establish the quantitative relation between emission and the quality of the permissive atmosphere [5]. The systems synthesis means the plan and design of an air pollution control system on the basis of system analysis to determine the target and to determine a management method of a system, in other words, in order to achieve certain environmental goal to select the optimal planning scheme, to optimal design, to find the optimal management method, and so forth.…”

Section: Analysis and Synthesis Of Air Pollution Control Systemmentioning

confidence: 99%

H∞Control Theory Using in the Air Pollution Control System

Yang

2013

Mathematical Problems in Engineering

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In recent years, air pollution control has caused great concern. This paper focuses on the primary pollutant SO2in the atmosphere for analysis and control. Two indicators are introduced, which are the concentration of SO2in the emissions (PSO2) and the concentration of SO2in the atmosphere (ASO2). If the ASO2is higher than the certain threshold, then this shows that the air is polluted. According to the uncertainty of the air pollution control systems model,H∞control theory for the air pollution control systems is used in this paper, which can change the PSO2with the method of improving the level of pollution processing or decreasing the emissions, so that air pollution system can maintain robust stability and the indicators ASO2are always operated within the desired target.

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Section: Analysis and Synthesis Of Air Pollution Control Systemmentioning

confidence: 99%

H∞Control Theory Using in the Air Pollution Control System

Yang

2013

Mathematical Problems in Engineering

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“…For the challenge of allocating emissions reductions among multiple sources, optimization approaches can identify strategies that minimize emissions reductions, control costs or other functions, while meeting technical and other constraints. Early studies focused on minimizing costs of emission controls while keeping pollutant concentrations below threshold values (Kohn, 1969; Kyan and Seinfeld, 1972; Cass, 1981). Others focused on administrative controls and optimized dispatch schedules to minimize pollutant concentrations during periods of adverse meteorology (Sullivan and Hackett, 1973).…”

Section: Introductionmentioning

confidence: 99%

Assessing concentrations and health impacts of air quality management strategies: Framework for Rapid Emissions Scenario and Health impact ESTimation (FRESH-EST)

Milando

Martenies

Batterman

2016

Environment International

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In air quality management, reducing emissions from pollutant sources often forms the primary response to attaining air quality standards and guidelines. Despite the broad success of air quality management in the US, challenges remain. As examples: allocating emissions reductions among multiple sources is complex and can require many rounds of negotiation; health impacts associated with emissions, the ultimate driver for the standards, are not explicitly assessed; and long dispersion model run-times, which result from the increasing size and complexity of model inputs, limit the number of scenarios that can be evaluated, thus increasing the likelihood of missing an optimal strategy. A new modeling framework, called the "Framework for Rapid Emissions Scenario and Health impact ESTimation" (FRESH-EST), is presented to respond to these challenges. FRESH-EST estimates concentrations and health impacts of alternative emissions scenarios at the urban scale, providing efficient computations from emissions to health impacts at the Census block or other desired spatial scale. In addition, FRESH-EST can optimize emission reductions to meet specified environmental and health constraints, and a convenient user interface and graphical displays are provided to facilitate scenario evaluation. The new framework is demonstrated in an SO2 non-attainment area in southeast Michigan with two optimization strategies: the first minimizes emission reductions needed to achieve a target concentration; the second minimizes concentrations while holding constant the cumulative emissions across local sources (e.g., an emissions floor). The optimized strategies match outcomes in the proposed SO2 State Implementation Plan without the proposed stack parameter modifications or shutdowns. In addition, the lower health impacts estimated for these strategies suggest the potential for FRESH-EST to identify pollution control alternatives for air quality management planning.

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“…A classic approach is the rollback model 4 which has been extensively used in designing State Implementation Plans and in some economic analyses. 5 George Hozworth's work 6 has more meteorological content. He showed that if one assumes emissions are uniformly distributed over a region, then average pollutant concentrations can be predicted from emission/ concentration ratios derived from historic mixing height and wind speed data.…”

Section: Pollution Possibility Frontiersmentioning

confidence: 99%