Article

Adaptive resolution modeling of regional air quality

Authors:

Chaitanya Belwal,

Adrian Sandu,

Emil M. ConstantinescuAuthors Info & Claims

SAC '04: Proceedings of the 2004 ACM symposium on Applied computing

Pages 235 - 239

https://doi.org/10.1145/967900.967951

Published: 14 March 2004 Publication History

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Abstract

We discuss an adaptive resolution system for modeling regional air pollution based on the chemical transport model Stem. The grid adaptivity is implemented using the generic tool Paramesh, which enables the grid management operations while harnessing the power of parallel computers. The computational algorithm is based on a decomposition of the domain, with the solution in different sub-domains being solved at different spatial resolutions. Numerical experiments confirm that adaptive resolution leads to the decrease in spatial error with an acceptable increase in computational time. Advantages and shortcomings of the present approach are also discussed.

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G. R. Carmichael. STEM - A second generation atmospheric chemical and transport model. URL: http://www.cgrer.uiowa.edu, 2003.

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Cited By

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Turabieh HSheta ABraik MKovač-Andrić E(2020) A Layered Recurrent Neural Network for Imputing Air Pollutants Missing Data and Prediction of NO 2 , O 3 , PM 10 , and PM 2.5 Forecasting in Mathematics - Recent Advances, New Perspectives and Applications [Working Title]10.5772/intechopen.93678Online publication date: 16-Nov-2020
https://doi.org/10.5772/intechopen.93678
Sheta AFaris HRodan AKovač-Andrić EAl-Zoubi A(2018)Cycle reservoir with regular jumps for forecasting ozone concentrations: two real cases from the east of CroatiaAir Quality, Atmosphere & Health10.1007/s11869-018-0561-911:5(559-569)Online publication date: 6-Mar-2018
https://doi.org/10.1007/s11869-018-0561-9
Zhang HLinford JSandu ASander R(2011)Chemical Mechanism Solvers in Air Quality ModelsAtmosphere10.3390/atmos20305102:3(510-532)Online publication date: 13-Sep-2011
https://doi.org/10.3390/atmos2030510
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Published In

SAC '04: Proceedings of the 2004 ACM symposium on Applied computing

March 2004

1733 pages

ISBN:1581138121

DOI:10.1145/967900

Conference Chair:
Hisham M. Haddad
Kennesaw State University
,
Program Chairs:
Andrea Omicini
Università degli Studi di Bologna a Cesena
,
Roger L. Wainwright
University of Tulsa
,
Publications Chair:
Lorie M. Liebrock
New Mexico Institute of Mining and Technology

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 March 2004

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SAC04

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SIGAPP

SAC04: The 2004 ACM Symposium on Applied Computing

March 14 - 17, 2004

Nicosia, Cyprus

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Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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Cited By

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Turabieh HSheta ABraik MKovač-Andrić E(2020) A Layered Recurrent Neural Network for Imputing Air Pollutants Missing Data and Prediction of NO 2 , O 3 , PM 10 , and PM 2.5 Forecasting in Mathematics - Recent Advances, New Perspectives and Applications [Working Title]10.5772/intechopen.93678Online publication date: 16-Nov-2020
https://doi.org/10.5772/intechopen.93678
Sheta AFaris HRodan AKovač-Andrić EAl-Zoubi A(2018)Cycle reservoir with regular jumps for forecasting ozone concentrations: two real cases from the east of CroatiaAir Quality, Atmosphere & Health10.1007/s11869-018-0561-911:5(559-569)Online publication date: 6-Mar-2018
https://doi.org/10.1007/s11869-018-0561-9
Zhang HLinford JSandu ASander R(2011)Chemical Mechanism Solvers in Air Quality ModelsAtmosphere10.3390/atmos20305102:3(510-532)Online publication date: 13-Sep-2011
https://doi.org/10.3390/atmos2030510
Karamchandani PVijayaraghavan KYarwood G(2011)Sub-Grid Scale Plume ModelingAtmosphere10.3390/atmos20303892:3(389-406)Online publication date: 24-Aug-2011
https://doi.org/10.3390/atmos2030389
Constantinescu ESandu A(2005)On adaptive mesh refinement for atmospheric pollution modelsProceedings of the 5th international conference on Computational Science - Volume Part II10.1007/11428848_102(798-805)Online publication date: 22-May-2005
https://dl.acm.org/doi/10.1007/11428848_102

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