Data/hora: 06/06/2024 08:42:00

Provedor de dados: | 31
País: | United States
Título: | Controlling Ozone and Fine Particulates: Cost Benefit Analysis with Meteorological Variability
Autores: | Shih,   Jhih-Shyang; Bergin,   Michelle S.; Krupnick,   Alan J.; Russell,   Armistead G.
Data: | 2005-10-26
Ano: | 2003
Palavras-chave: | Ambient air; Ozone; Particulate matter; Risk management; Public policy; Cost-benefit analysis; Variability and uncertainty; Stochastic simulation; Stochastic multi-objective programming; Decision-making; National Ambient Air Quality Standards; Environmental Economics and Policy; C6; Q2; Q25; Q28.
Resumo: | In this paper, we develop an integrated cost-benefit analysis framework for ozone and fine particulate control, accounting for variability and uncertainty. The framework includes air quality simulation, sensitivity analysis, stochastic multi-objective air quality management, and stochastic cost-benefit analysis. This paper has two major contributions. The first is the development of stochastic source-receptor (S-R) coefficient matrices for ozone and fine particulate matter using an advanced air quality simulation model (URM-1ATM) and an efficient sensitivity algorithm (DDM-3D). The second is a demonstration of this framework for alternative ozone and PM2.5 reduction policies. Alternative objectives of the stochastic air quality management model include optimization of the net social benefits and maximization of the reliability of satisfying certain air quality goals. We also examine the effect of accounting for distributional concerns.
Tipo: | Working or Discussion Paper
Idioma: | Inglês

Identificador:

18639

http://purl.umn.edu/10735

Editor: | AgEcon Search

Relação:

Resources for the Future&gt;Discussion Papers

Discussion Paper 03-55

Formato:

31

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