Air Quality Modeling Study on the Controlling Factors of Fine Particulate Matter (PM2.5) in Hanoi: A Case Study in December 2010

Atmosphere

Quang-Van Doan¹  ThanhHung Nguyen²  Tatsuya Nagashima² 

[1] Center for Computational Sciences, University of Tsukuba, Tennodai 1-1-1, Tsukuba 305-8577, Ibaraki, Japan;Graduate school of Life and Environmental Sciences, University of Tsukuba, Tennodai 1-1-1, Tsukuba 305-8572, Ibaraki, Japan;

关键词: WRF/CMAQ;    PM_2.5 air pollution;    controlling factors;    transboundary pollution;    sensitivity analysis;    Hanoi;   

DOI  :  10.3390/atmos11070733

来源: DOAJ

【 摘 要 】

Meteorology and emission sources are the two main factors determining concentrations of air pollutants, including fine particulate matter. A regional air quality modeling system was used to analyze the sources of fine-particulate air pollution in Hanoi, Vietnam, in December 2010. The impacts of precipitation and winds on PM_2.5 concentrations was investigated. Precipitation was negatively correlated with PM_2.5 concentrations. However, winds showed both positive and negative correlations with PM_2.5 concentrations, depending on wind direction (WD) and the level of upwind concentrations. Sensitivity simulations were conducted to investigate the contribution of local and non-local emissions sources on total PM_2.5 by perturbing the emission inputs of the model. Overall, local and non-local sources contributed equally to the total PM_2.5 in Hanoi. Local emission sources comprised 57% of the total PM_2.5 concentrations for the high PM_2.5 pollution levels, while only comprising 42% of the total PM_2.5 for low levels of PM_2.5 concentrations. In Hanoi’s urban areas, local sources contributed more to the total PM_2.5 than non-local sources. In contrast, non-local sources were the main contributors to the PM_2.5 in Hanoi’s rural areas. Additional sensitivity simulations were conducted to identify the main local emission sources of PM_2.5 concentrations in December 2010. The industrial and residential sectors collectively comprised 79% of the total PM_2.5 concentrations while the transport and power sectors comprised only 2% and 3%, respectively. This is the first case study which used a regional air quality modeling system to provide new and informative insights into PM_2.5 air pollution in Hanoi by estimating the contributions of local and non-local emissions sources, as well as the contribution of local emission sectors to PM_2.5 concentrations in Hanoi.

【 授权许可】

Unknown