On the treatment of point source emissions in urban air quality modeling

1983 ◽  
Vol 17 (9) ◽  
pp. 1655-1676 ◽  
Author(s):  
Christian Seigneur ◽  
T.W. Tesche ◽  
Philip M. Roth ◽  
Mei-Kao Liu
Keyword(s):  
Air Quality ◽  
Point Source ◽  
Air Quality Modeling ◽  
Urban Air Quality ◽  
Urban Air ◽  
Quality Modeling

High Resolution Urban Air Quality Modeling by Coupling CFD and Mesoscale Models: a Review

2019 ◽  
Vol 55 (4) ◽  
pp. 539-556 ◽  
Author(s):  
Rakesh Kadaverugu ◽  
Asheesh Sharma ◽  
Chandrasekhar Matli ◽  
Rajesh Biniwale
Keyword(s):  
Air Quality ◽  
High Resolution ◽  
Air Quality Modeling ◽  
Urban Air Quality ◽  
Urban Air ◽  
Mesoscale Models ◽  
Quality Modeling

scholarly journals Urban Air Quality Modeling Using Low-Cost Sensor Network and Data Assimilation in the Aburra Valley, Colombia

2020 ◽  
Author(s):  
Santiago Lopez-Restrepo ◽  
Andres Yarce ◽  
Nicolas Pinel ◽  
O. Lucia Quintero ◽  
Arjo Segers ◽  
...  
Keyword(s):  
Air Quality ◽  
Data Assimilation ◽  
Sensor Network ◽  
Low Cost ◽  
Air Quality Modeling ◽  
Urban Air Quality ◽  
Urban Air ◽  
Quality Modeling

Chapter 11 Air Quality Modeling in Support of the Near-Road Exposures and Effects of Urban Air Pollutants Study (NEXUS)

Air Quality ◽  
2016 ◽  
pp. 219-242
Author(s):  
Vlad Isakov ◽  
Saravanan Arunachalam ◽  
Stuart Batterman ◽  
Sarah Bereznicki ◽  
Janet Burke ◽  
...  
Keyword(s):  
Air Quality ◽  
Air Pollutants ◽  
Air Quality Modeling ◽  
Urban Air ◽  
Quality Modeling

scholarly journals Air Quality Modeling in Support of the Near-Road Exposures and Effects of Urban Air Pollutants Study (NEXUS)

2014 ◽  
Vol 11 (9) ◽  
pp. 8777-8793 ◽  
Author(s):  
Vlad Isakov ◽  
Saravanan Arunachalam ◽  
Stuart Batterman ◽  
Sarah Bereznicki ◽  
Janet Burke ◽  
...  
Keyword(s):  
Air Quality ◽  
Air Pollutants ◽  
Air Quality Modeling ◽  
Urban Air ◽  
Quality Modeling

Validation and improvement of Taiwan Emission inventory for air quality modeling

2020 ◽  
Author(s):  
Ming-Tung Chuang ◽  
Charles C.-K Chou ◽  
Chuan-Yao Lin
Keyword(s):  
Air Quality ◽  
Point Source ◽  
Emission Inventory ◽  
Sparse Matrix ◽  
Air Quality Modeling ◽  
Emission Data ◽  
Modeling And Analysis ◽  
Quality Modeling ◽  
System Data ◽  
Analysis System

<p>The performance of air quality modeling (AQM) depends largely on the uncertainty of emission inventory. Since the emission data is an important input for AQM, this study tried to validate the controversial emission inventory. The Taiwan EPA (TEPA) has released the latest TEDS10.0 (Taiwan Emission Database System, version 10.0) based on 2016. This emission has attracted high arguments among governments and academics. This study applied the SMOKE v4.6 (Sparse Matrix Operator Kerner Emissions) to process the TEDS. The study used the CEMS (Continuous Emission Monitoring System) data and replaced temporalized large point source which accounts for 70% of all point source emissions, updated the biogenic emission calculation, improved the temporal profile of NH3, several area sources, and all mobile sources. Then we utilized the CMAQ (Community Modeling and Analysis System) model to simulate a PM2.5 event. However, the performance of the abovementioned improvement for emission processing is still not satisfactory. Therefore, this study tried to adjust the emission inventory according to the comparison of simulations and observations. The performance of air quality modeling has been improved after adjustment.  Meanwhile, this study provided suggestions of several aspects to be improved to the TEPA.</p>

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