Formulation of a decision-making framework for ozone pollution control in Atlanta

Zehua Yang; Victoria C.P. Chen; Michael Chang; Terrence Murphy

Formulation of a decision-making framework for ozone pollution control in Atlanta

Zehua Yang
, Victoria C.P. Chen
, Michael Chang
, Terrence Murphy

Department of Public Health Sciences

Research output: Contribution to conference › Paper › peer-review

Abstract

In order to reduce ozone pollution in Atlanta to maintain U.S. EPA specified standard, a preliminary Decision-Making Framework (DMF) based on Stochastic Dynamic Programming was formulated. Under this framework ozone attainment goals were modeled as constraints. The Air Chemistry Module of the DMF utilizes the Urban Airshed Model to develop efficient metamodels for representing how ozone concentrations change over time.

Original language	English (US)
Pages	1343-1348
Number of pages	6
State	Published - 2004
Event	IIE Annual Conference and Exhibition 2004 - Houston, TX, United States Duration: May 15 2004 → May 19 2004

Other

Other	IIE Annual Conference and Exhibition 2004
Country/Territory	United States
City	Houston, TX
Period	5/15/04 → 5/19/04

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

All Science Journal Classification (ASJC) codes

General Engineering

Cite this

@conference{7c4df87b328449e0a645e9b41e8b0493,

title = "Formulation of a decision-making framework for ozone pollution control in Atlanta",

abstract = "In order to reduce ozone pollution in Atlanta to maintain U.S. EPA specified standard, a preliminary Decision-Making Framework (DMF) based on Stochastic Dynamic Programming was formulated. Under this framework ozone attainment goals were modeled as constraints. The Air Chemistry Module of the DMF utilizes the Urban Airshed Model to develop efficient metamodels for representing how ozone concentrations change over time.",

author = "Zehua Yang and Chen, \{Victoria C.P.\} and Michael Chang and Terrence Murphy",

year = "2004",

language = "English (US)",

pages = "1343--1348",

note = "IIE Annual Conference and Exhibition 2004 ; Conference date: 15-05-2004 Through 19-05-2004",

}

TY - CONF

T1 - Formulation of a decision-making framework for ozone pollution control in Atlanta

AU - Yang, Zehua

AU - Chen, Victoria C.P.

AU - Chang, Michael

AU - Murphy, Terrence

PY - 2004

Y1 - 2004

N2 - In order to reduce ozone pollution in Atlanta to maintain U.S. EPA specified standard, a preliminary Decision-Making Framework (DMF) based on Stochastic Dynamic Programming was formulated. Under this framework ozone attainment goals were modeled as constraints. The Air Chemistry Module of the DMF utilizes the Urban Airshed Model to develop efficient metamodels for representing how ozone concentrations change over time.

AB - In order to reduce ozone pollution in Atlanta to maintain U.S. EPA specified standard, a preliminary Decision-Making Framework (DMF) based on Stochastic Dynamic Programming was formulated. Under this framework ozone attainment goals were modeled as constraints. The Air Chemistry Module of the DMF utilizes the Urban Airshed Model to develop efficient metamodels for representing how ozone concentrations change over time.

UR - https://www.scopus.com/pages/publications/30044432932

UR - https://www.scopus.com/pages/publications/30044432932#tab=citedBy

M3 - Paper

AN - SCOPUS:30044432932

SP - 1343

EP - 1348

T2 - IIE Annual Conference and Exhibition 2004

Y2 - 15 May 2004 through 19 May 2004

ER -

Formulation of a decision-making framework for ozone pollution control in Atlanta

Abstract

Other

UN SDGs

All Science Journal Classification (ASJC) codes

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