Name
Abstract | ||
|---|---|---|
This work introduces a parallelly distributed computing technique to quantify the traffic-related pollutant concentrations at regional scales. The U.S. Environmental Protection Agency (EPA)-recommended dispersion model AERMOD involves complex model setup that requires extensive data inputs with strict formatting rules. These strict requirements increase the likelihood of human errors, especially in larger-scale high-resolution dispersion modeling. The paper presents a streamlined framework that integrates the processes of data preparation, link and receptor configuration, and mobile source emissions modeling. The emissions model is then connected with dispersion model through a parallel computing system. Such linkages allow high-resolution traffic-related air quality impacts to be estimated at the regional scales with high computational efficiency. The tool can be used by a broad audience, including any stakeholders interested in mobile source emissions modeling, and near-road pollutant concentration modeling under the National Environmental Policy Act, and Clean Air Act transportation and air quality conformity analysis. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1111/mice.12639 | COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING |
DocType | Volume | Issue |
Journal | 36 | 3 |
ISSN | Citations | PageRank |
1093-9687 | 0 | 0.34 |
References | Authors | |
0 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Daejin Kim | 1 | 0 | 0.34 |
| Haobing Liu | 2 | 2 | 2.76 |
| Xiaodan Xu | 3 | 0 | 0.34 |
| Hongyu Lu | 4 | 0 | 0.34 |
| Roger Wayson | 5 | 0 | 0.34 |
| Michael O. Rodgers | 6 | 0 | 0.34 |
| Randall Guensler | 7 | 0 | 0.34 |