Supercomputers aid in research to control ozone pollution

Researchers from NTU leverage high-performance computing resources to better understand the effects of ozone pollution and develop tools to control emissions in Southeast Asia.
"Our project adopts the Community Multiscale Air Quality Modeling System (CMAQ) model with the embedded photochemical reactions to simulate the daily O3 concentrations in Southeast Asia with 30m spatial resolution. While the CMAQ model is a powerful chemical transport model solving a series of governing equations that represent how the atmosphere works, it requires a large amount of computational resources to capture the dynamic atmospheric conditions and conduct a simulation. With the support of NSCC's HPC resources the simulation speed of our research was increases by nearly 20 times."
Steve Yim
Associate Professor, The Asian School of the Environment, Nanyang Technological University

Ambient air pollution has become one of the greatest risks to human health. According to the World Health Organization (WHO), around 4.2 million premature deaths are caused by air pollution every year, with Ozone (O3) being one of the most serious air pollutants, which is detrimental to both human health and the natural ecosystem.

 

With substantial anthropogenic and biogenic emissions, Southeast Asia (SEA) experiences serious O3 pollution problems at an increasing rate of +0.45 ppb every year. However, the understanding of O3 pollution in SEA remains limited and is insufficient to support governments in developing effective air pollution control policies.

 

O3 is a secondary air pollutant that is formed and transformed through complex photochemical reactions. Reducing the precursors may not necessarily reduce O3 emissions. To effectively control the O3 pollution and to decrease the mortality rate caused by excessive O3 exposure in SEA, it is critical to investigate the relationship between O3 pollution and its precursors’ emissions, as well as the subsequent impact to human health in the region.

"Our project adopts the Community Multiscale Air Quality Modeling System (CMAQ) model with the embedded photochemical reactions to simulate the daily O3 concentrations in Southeast Asia with 30m spatial resolution. While the CMAQ model is a powerful chemical transport model solving a series of governing equations that represent how the atmosphere works, it requires a large amount of computational resources to capture the dynamic atmospheric conditions and conduct a simulation. With the support of NSCC's HPC resources the simulation speed of our research was increases by nearly 20 times."
Steve Yim
Associate Professor, The Asian School of the Environment, Nanyang Technological University

A team of researchers at The Asian School of the Environment at Nanyang Technological University are leveraging NSCC’s high-performance computing resources to simulate O3 concentrations and evaluate the O3 sensitivity to each precursor emission species in SEA. The team also seeks to apportion the contribution of emission sources based on local and transboundary O3. Additionally, the researchers are quantifying the impact of O3 in SEA and the effects of the precursors’ emissions on human health. Their research will advance the understanding of the relationships between health impact, O3 and the precursors’ emissions in SEA, which provides a useful reference to guide for regional policymakers on how to effectively control O3. This will be particularly useful in controlling the precursors’ emissions to protect human health and achieve the global UN Sustainable Development Goal.

To find out more about how NSCC’s HPC resources can help you, please contact [email protected].

 

NSCC NewsBytes September 2022

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