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Title: Lagrangian particle modeling of air pollution transport in southwestern United States

Abstract

Several modeling techniques of various complexity and accuracy are applied in a numerical modeling study of regional air pollution transport being performed within the Measurement Of Haze And Visual Effect (MOHAVE) project. The goal of this study is to assess the impact of the Mohave Power Project (MPP) and other potential sources of air pollution to specific Class I areas located in the desert southwest United States including the Grand Canyon National Park. The Colorado State University team is performing the daily meteorological and dispersion simulations for a year long study using a nonhydrostatic mesoscale meteorological model; the Regional Atmospheric Modeling System (RAMS) coupled with a Lagrangian particle dispersion (LPD) model. The modeling domain covers the southwestern United States with its extremely complex terrain. Two complementary dispersion modeling techniques: a traditional source-oriented approach and receptor-oriented approach are used to calculate concentration and influence function fields, respectively. All computations are performed on two IBM RISC-6000 workstations dedicated to the project. The goal of this paper is to present our design for daily dispersion simulations with an emphasis on influence function calculations using examples from the winter and summer intensive periods of the MOHAVE project.

Authors:
 [1]; ;  [2]
  1. Warsaw Univ. of Technology (Poland)
  2. Colorado State Univ., Fort Collins, CO (United States)
Publication Date:
OSTI Identifier:
28728
Report Number(s):
CONF-940115-
TRN: 95:002816-0018
Resource Type:
Conference
Resource Relation:
Conference: 8. Joint conference on applications of air pollution meterology. 74. American Meteorological Society annual meeting, Nashville, TN (United States), 23-28 Jan 1994; Other Information: PBD: 1994; Related Information: Is Part Of Eighth joint conference on applications of air pollution meteorology with A & WMA; PB: 359 p.
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; 99 MATHEMATICS, COMPUTERS, INFORMATION SCIENCE, MANAGEMENT, LAW, MISCELLANEOUS; AIR POLLUTION; ENVIRONMENTAL TRANSPORT; POWER PLANTS; ENVIRONMENTAL EFFECTS; ATMOSPHERIC CIRCULATION; MATHEMATICAL MODELS; LAGRANGE EQUATIONS; COMPLEX TERRAIN; METEOROLOGY; COMPUTER CALCULATIONS

Citation Formats

Uliasz, M, Stocker, R A, and Pielke, R A. Lagrangian particle modeling of air pollution transport in southwestern United States. United States: N. p., 1994. Web.
Uliasz, M, Stocker, R A, & Pielke, R A. Lagrangian particle modeling of air pollution transport in southwestern United States. United States.
Uliasz, M, Stocker, R A, and Pielke, R A. 1994. "Lagrangian particle modeling of air pollution transport in southwestern United States". United States.
@article{osti_28728,
title = {Lagrangian particle modeling of air pollution transport in southwestern United States},
author = {Uliasz, M and Stocker, R A and Pielke, R A},
abstractNote = {Several modeling techniques of various complexity and accuracy are applied in a numerical modeling study of regional air pollution transport being performed within the Measurement Of Haze And Visual Effect (MOHAVE) project. The goal of this study is to assess the impact of the Mohave Power Project (MPP) and other potential sources of air pollution to specific Class I areas located in the desert southwest United States including the Grand Canyon National Park. The Colorado State University team is performing the daily meteorological and dispersion simulations for a year long study using a nonhydrostatic mesoscale meteorological model; the Regional Atmospheric Modeling System (RAMS) coupled with a Lagrangian particle dispersion (LPD) model. The modeling domain covers the southwestern United States with its extremely complex terrain. Two complementary dispersion modeling techniques: a traditional source-oriented approach and receptor-oriented approach are used to calculate concentration and influence function fields, respectively. All computations are performed on two IBM RISC-6000 workstations dedicated to the project. The goal of this paper is to present our design for daily dispersion simulations with an emphasis on influence function calculations using examples from the winter and summer intensive periods of the MOHAVE project.},
doi = {},
url = {https://www.osti.gov/biblio/28728}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Sat Dec 31 00:00:00 EST 1994},
month = {Sat Dec 31 00:00:00 EST 1994}
}

Conference:
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