scholarly journals Numerical Study on the Impact of Meteorological Input Data on Air Quality Modeling on High Ozone Episode at Coastal Region

2011 ◽  
Vol 27 (1) ◽  
pp. 30-40 ◽  
Author(s):  
Won-Bae Jeon ◽  
Hwa-Woon Lee ◽  
Soon-Hwan Lee ◽  
Hyun-Jung Choi ◽  
Dong-Hyuk Kim ◽  
...  
Keyword(s):  
Air Quality ◽  
Input Data ◽  
Numerical Study ◽  
Coastal Region ◽  
Air Quality Modeling ◽  
Quality Modeling ◽  
Meteorological Input ◽  
The Impact ◽  
High Ozone Episode ◽  
Ozone Episode

The Impact of Nudging in the Meteorological Model for Retrospective Air Quality Simulations. Part II: Evaluating Collocated Meteorological and Air Quality Observations

2008 ◽  
Vol 47 (7) ◽  
pp. 1868-1887 ◽  
Author(s):  
Tanya L. Otte
Keyword(s):  
Air Quality ◽  
Dynamic Analysis ◽  
Air Quality Modeling ◽  
Shortwave Radiation ◽  
Error Patterns ◽  
Ozone Prediction ◽  
Quality Modeling ◽  
Dynamic Analyses ◽  
The Impact ◽  
Over Time

Abstract For air quality modeling, it is important that the meteorological fields that are derived from meteorological models reflect the best characterization of the atmosphere. It is well known that the accuracy and overall representation of the modeled meteorological fields can be improved for retrospective simulations by creating dynamic analyses in which Newtonian relaxation, or “nudging,” is used throughout the simulation period. This article, the second of two parts, provides additional insight into the value of using nudging-based data assimilation for dynamic analysis in the meteorological fields for air quality modeling. Meteorological simulations are generated by the fifth-generation Pennsylvania State University–National Center for Atmospheric Research Mesoscale Model (MM5) using both the traditional dynamic analysis approach and forecasts for a summertime period. The resultant meteorological fields are then used for emissions processing and air quality simulations using the Community Multiscale Air Quality Modeling System (CMAQ). The predictions of surface and near-surface meteorological fields and ozone are compared with a small network of collocated meteorological and air quality observations. Comparisons of 2-m temperature, 10-m wind speed, and surface shortwave radiation show a significant degradation over time when nudging is not used, whereas the dynamic analyses maintain consistent statistical scores over time for those fields. Using nudging in MM5 to generate dynamic analyses, on average, leads to a CMAQ simulation of hourly ozone with smaller error. Domainwide error patterns in specific meteorological fields do not directly or systematically translate into error patterns in ozone prediction at these sites, regardless of whether nudging is used in MM5, but large broad-scale errors in shortwave radiation prediction by MM5 directly affect ozone prediction by CMAQ at specific sites.

The Impact of Different Validation Datasets on Air Quality Modeling Performance

2018 ◽  
Vol 9 ◽  
pp. S9-S10
Author(s):  
Haneen Khreis ◽  
Kees de Hoogh ◽  
Josias Zietsman ◽  
Mark Nieuwenhuijsen
Keyword(s):  
Air Quality ◽  
Air Quality Modeling ◽  
Quality Modeling ◽  
The Impact

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
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