Examination of the Performance of a Three-Phase Atmospheric Turbulence Model for Line-Source Dispersion Modeling Using Multiple Air Quality Datasets

Saisantosh Vamshi Harsha Madiraju and Ashok Kumar
Additional contact information
Saisantosh Vamshi Harsha Madiraju: Department of Civil and Environmental Engineering, The College of Engineering, The University of Toledo, Toledo, OH 43606, USA
Ashok Kumar: Department of Civil and Environmental Engineering, The College of Engineering, The University of Toledo, Toledo, OH 43606, USA

J, 2022, vol. 5, issue 2, 1-16

Abstract: One of the weaknesses of current line-source models for predicting downwind concentrations from mobile sources is accounting for the dispersion of effluents. Most of the investigators in the field have taken different approaches over the last 50 years, ranging from the use of Pasquill–Gifford (P-G) dispersion curves to the use of equations based on atmospheric turbulence for point source dispersion. Madiraju and Kumar (2021) proposed a three-phase turbulence (TPT) model using the key features of mobile source dispersion that appear in the existing literature. This paper examines the performance of line-source models using an updated TPT model. The generic dispersion equations were considered from the SLINE 1.1, CALINE 4, ADMS, and SLSM models. Multiple air quality field data sets collected by other investigators near the roadways were used during this study. These include field data collected from the Idaho Falls Tracer Experiment 2008 (used as the dataset to compare with the initial model), the CALTRANS Highway 99 Tracer experiment, and the Raleigh 2006 experiment. The predicted concentrations were grouped under unstable and stable atmospheric conditions. The evaluation of the model was performed using several statistical parameters such as FB, NMSE, R 2 , MG, VG, MSLE, and MAPE. The results indicate that the ADMS and SLINE 1.1 models perform better than CALINE4 and SLSM. SLINE 1.1 tends to overpredict for stable atmospheric conditions and underpredict for unstable atmospheric conditions. A trial test was performed to implement the TPT model in the basic line-source model (SLSM). The results indicate that the majority (FB, NMSE, R 2 , and MSLE) of the indicators have improved and are in the satisfactory range of a good model performance level.

Keywords: dispersion model; line-source model; air quality data; model evaluation (search for similar items in EconPapers)
JEL-codes: I1 I10 I12 I13 I14 I18 I19 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2571-8800/5/2/15/pdf (application/pdf)
https://www.mdpi.com/2571-8800/5/2/15/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jjopen:v:5:y:2022:i:2:p:15-213:d:782650

Access Statistics for this article

J is currently edited by Ms. Angelia Su

More articles in J from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().