Coastal and synoptic recirculation affecting air pollutants dispersion: A numerical study

Atmospheric pollution is one of the biggest problems and concerns in modern society, especially in industrial and highly populated areas. Poor air quality can have adverse impact on human health and ecosystems. For this reason, air quality forecasting becomes increasingly important, especially for governments and administrations, which use these predictions to enhance the design of mitigation actions in order to reduce air pollution in urban areas. In this framework, process of pollutant dispersion simulation is the best way to predict the most affected areas by industrial and other kinds of emissions. To carry out these simulations, there is a great number of computational tools currently available. However, not all of them have the same functionalities, nor can they be applied to the same case studies, so it is necessary to establish the advantages and disadvantages of each one of them in order to choose the most suitable tool in each case. Therefore, the objective of this paper is to identify the main available simulation tools and to make a comparative review between them in order to define advantages and disadvantages.

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Modeling of Southeast Asia biomass burning pollutants to Taiwan during EMeRGe campaigns in Asia

10.5194/egusphere-egu2020-9426 ◽

2020 ◽

Author(s):

Chuan-yao Lin ◽

Wan-chin Chen ◽

Yang-fan sheng ◽

Win-Mei Chen ◽

Yi-Yun Chien

Keyword(s):

East Asia ◽

Long Range ◽

Biomass Burning ◽

Air Pollutants ◽

Numerical Study ◽

Lower Troposphere ◽

Weather Conditions ◽

Transport And Transformation ◽

Complex Interactions ◽

Vertical Profiling

<p>In springtime happens to be the biomass burning season in Indochina. Under favor weather conditions, the products of biomass burning pollutants could be transported easily to Taiwan and even East Asia. Actually, the complex interactions of these air pollutants and aerosols features in the boundary layer and aloft have resulted in complex characteristics of air pollutants and aerosols distributions in the lower troposphere. The project &#8220;Effect of Megacities on the transport and transformation of pollutants on the Regional and Global scales (EMeRGe)&#8221; aims to improve our knowledge and prediction of the transport and transformation patterns of European and Asian megacities pollutant outflows. During the EMeRGe campaign in Asia, the composition of the plumes of pollution entering and leaving Asia measured by the new High Altitude and LOng Range (HALO) aircraft research platform. The HALO aircraft performing optimized transects and vertical profiling in Asia during 12 March and 7 April in 2018. To identify the transportation of biomass burning products, a high resolution (9 km) numerical study by Weather Research Forecast coupled with chemistry model (WRF-Chem) was performed during the campaigns. The long-range transport of biomass burning organic aerosol to Taiwan measured by HALO could be more than 2 ug/m3 at the elevation of 2500 m on 20 March, 2018. Model performances and results will discuss in this meeting. Overall, this series of studies significantly fill the gap of our understanding on air pollutants transformation and transport to Taiwan and East Asia, and show the potential directions of future studies.</p>

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Mobile and stationary sources of air pollutants in the Amazon rainforest: a numerical study with WRF-Chem model

10.5194/acp-2016-1190 ◽

2017 ◽

Author(s):

Sameh A. Abou Rafee ◽

Leila D. Martins ◽

Ana B. Kawashima ◽

Daniela S. Almeida ◽

Marcos V. B. Morais ◽

...

Keyword(s):

Air Pollutants ◽

Numerical Study ◽

Amazon Rainforest ◽

Weather Research And Forecasting ◽

Future Scenarios ◽

Mobile Sources ◽

Air Pollutions ◽

The Impact ◽

The City ◽

Stationary Sources

Abstract. This paper evaluates the impact of the emissions from mobile and stationary sources in the Amazon rainforest by using the Weather Research and Forecasting with Chemistry (WRF-Chem) model. The analyzed air pollutants were CO, NOx, SO2, O3, PM2.5, PM10 and VOCs. Five scenarios were defined in order to evaluate the emissions by biogenic, mobile and stationary sources, as well as future scenarios. Results show that the stationary sources explain the highest concentrations for all air pollutants evaluated, except for CO, for which the mobile sources are predominant ones. The futuristic scenario, which is twice the current emissions from mobile and stationary sources, has shown an increase in the range of 3 to 62 % in average concentrations and 45 to 109 % in peak concentrations depending on the pollutant. In addition, the spatial distributions of the scenarios has shown that the air pollutions plume from the city of Manaus is predominantly west and southwest, and it can reach hundreds of kilometers in length.

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Supplementary material to "Mobile and stationary sources of air pollutants in the Amazon rainforest: a numerical study with WRF-Chem model"

10.5194/acp-2016-1190-supplement ◽

2017 ◽

Author(s):

Sameh A. Abou Rafee ◽

Leila D. Martins ◽

Ana B. Kawashima ◽

Daniela S. Almeida ◽

Marcos V. B. Morais ◽

...

Keyword(s):

Air Pollutants ◽

Numerical Study ◽

Amazon Rainforest ◽

Supplementary Material ◽

Stationary Sources

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SIMULATION OF AIR POLLUTANTS DISPERSION IN THE MICRO REGION OF THE MUNICIPALITY OF RIO DE JANEIRO IN REAL SCALE

10.26678/abcm.encit2018.cit18-0459 ◽

2018 ◽

Author(s):

Javier Aliaga Rivera ◽

Marcos de Paula Gomes

Keyword(s):

Air Pollutants ◽

Rio De Janeiro ◽

Real Scale ◽

Pollutants Dispersion

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A numerical study of the contribution to the air pollutant in Beijing during CAREBeijing-2006

Atmospheric Chemistry and Physics Discussions ◽

10.5194/acpd-11-5271-2011 ◽

2011 ◽

Vol 11 (2) ◽

pp. 5271-5312 ◽

Cited By ~ 2

Author(s):

Q. Z. Wu ◽

Z. F. Wang ◽

A. Gbaguidi ◽

C. Gao ◽

L. N. Li ◽

...

Keyword(s):

Surface Layer ◽

Air Quality ◽

Rural Areas ◽

Air Pollutants ◽

High Performance ◽

Numerical Study ◽

Air Pollutant ◽

Air Quality Prediction ◽

Regional Sources ◽

The Impact

Abstract. An online air pollutant tagged module has been developed in the Nested Air Quality Prediction Model System (NAQPMS) to investigate the impact of local and regional sources on the air pollutants in Beijing during the Campaign of Air Quality Research in Beijing 2006 (CAREBeijing-2006). The NAQPMS model shows high performance in simulating sulfur dioxide (SO2), particulate matter (PM10), nitrogen dioxide (NO2), and ozone (O3) with overall better agreements with the observations at urban sites than rural areas. With the tagged module, the air pollutant contributions from local and regional sources to the surface layer (about 30 m) and the upper layer (about 1.1 km) in Beijing are differentiated and estimated. The air pollutants at the surface layer in Beijing are dominated by the contributions from local sources, accounting for 65% of SO2, 75% of PM10 and nearly 90% of NO2, respectively, comparatively, the upper layer has large source contributions from the surrounding regions (e.g., southern Beijing), accounting for more than 50% of the SO2 and PM10 concentrations. Country scale analysis is also performed and the results suggest that Tianjin is the dominant source of SO2 in Pinggu County, and Langfang, Hebei is the most important regional contributor to PM10 in Beijing. Moreover, the surrounding regions show larger impact on SO2, PM10 and NO2 in the eastern counties of Beijing (e.g., Pinggu, Tongzhou and Daxing) than those in western Beijing, which is likely due to the Beijing's semi-basin topography and the summer monsoon. Our results indicate that the efforts to control the air pollutants in Beijing should focus on controlling both local and regional emissions.

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