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AIR QUALITY CONTROL MODEL COMBINING DATA ON MORBIDITY AND POLLUTION ABATEMENT *
Author(s) -
KOHN ROBERT E.,
BURLINGAME DONALD E.
Publication year - 1971
Publication title -
decision sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.238
H-Index - 108
eISSN - 1540-5915
pISSN - 0011-7315
DOI - 10.1111/j.1540-5915.1971.tb01464.x
Subject(s) - pollutant , pollution , air pollution , environmental science , air quality index , constraint (computer aided design) , control (management) , air pollutants , quality (philosophy) , sensitivity (control systems) , function (biology) , budget constraint , criteria air contaminants , computer science , operations research , environmental engineering , meteorology , economics , engineering , philosophy , artificial intelligence , electronic engineering , ecology , chemistry , biology , neoclassical economics , epistemology , evolutionary biology , mechanical engineering , organic chemistry , physics
A pollution damage function is developed, using data from a study on the sensitivity of morbidity to ambient air concentrations of individual pollutants. This function is used in a model which incorporates the costs and technology for pollution abatement in the St. Louis Airshed. A set of air quality standards is determined which minimizes morbidity subject to a given control budget constraint. The results indicate that there should be a greater reduction of the pollutants associated with stationary sources than of those characteristic of the automobile.