scholarly journals Editorial : Special Issue: Air Quality Modeling and Analysis

2010 ◽  
Vol 1 (4) ◽  
pp. 195
Author(s):  
S. Trivikrama Rao
Keyword(s):  
Air Quality ◽  
Air Quality Modeling ◽  
Special Issue ◽  
Modeling And Analysis ◽  
Editorial Special Issue ◽  
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>

scholarly journals Emission Inventories and Particulate Matter Air Quality Modeling over the Pearl River Delta Region

2021 ◽  
Vol 18 (8) ◽  
pp. 4155
Author(s):  
Diogo Lopes ◽  
Joana Ferreira ◽  
Ka In Hoi ◽  
Ka-Veng Yuen ◽  
Kai Meng Mok ◽  
...  
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Pearl River Delta ◽  
Air Quality Modeling ◽  
Pearl River ◽  
Emission Inventories ◽  
Atmospheric Emission ◽  
The Pearl River Delta ◽  
Quality Modeling ◽  
The Pearl River

The Pearl River Delta (PRD) region is located on the southeast coast of mainland China and it is an important economic hub. The high levels of particulate matter (PM) in the atmosphere, however, and poor visibility have become a complex environmental problem for the region. Air quality modeling systems are useful to understand the temporal and spatial distribution of air pollution, making use of atmospheric emission data as inputs. Over the years, several atmospheric emission inventories have been developed for the Asia region. The main purpose of this work is to evaluate the performance of the air quality modeling system for simulating PM concentrations over the PRD using three atmospheric emission inventories (i.e., EDGAR, REAS and MIX) during a winter and a summer period. In general, there is a tendency to underestimate PM levels, but results based on the EDGAR emission inventory show slightly better accuracy. However, improvements in the spatial and temporal disaggregation of emissions are still needed to properly represent PRD air quality. This study’s comparison of the three emission inventories’ data, as well as their PM simulating outcomes, generates recommendations for future improvements to atmospheric emission inventories and our understanding of air pollution problems in the PRD region.

Indoor air quality modeling: Compartmental approach with reactive chemistry

1982 ◽  
Vol 8 (1-6) ◽  
pp. 461-471 ◽  
Author(s):  
H. Özkaynak ◽  
P.B. Ryan ◽  
G.A. Allen ◽  
W.A. Turner
Keyword(s):  
Air Quality ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Air Quality Modeling ◽  
Quality Modeling

Isoprene Emission Factors for Subtropical Street Trees for Regional Air Quality Modeling

2016 ◽  
Vol 45 (1) ◽  
pp. 234-243 ◽  
Author(s):  
Kristina A. Dunn-Johnston ◽  
Jürgen Kreuzwieser ◽  
Satoshi Hirabayashi ◽  
Lyndal Plant ◽  
Heinz Rennenberg ◽  
...  
Keyword(s):  
Air Quality ◽  
Air Quality Modeling ◽  
Emission Factors ◽  
Street Trees ◽  
Isoprene Emission ◽  
Quality Modeling ◽  
Regional Air Quality

scholarly journals Ozone Air Quality Modeling. A Case Study: A Heavily Vehicle Impacted Urban Avenue in Rio de Janeiro, Brazil

2002 ◽  
Vol 13 (3) ◽  
pp. 308-317 ◽  
Author(s):  
Graciela Arbilla ◽  
Eduardo M. Martins ◽  
Andréa Moreira ◽  
Lino F. R. Moreira
Keyword(s):  
Air Quality ◽  
Rio De Janeiro ◽  
Air Quality Modeling ◽  
Quality Modeling
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