Authors

Cung Hong Viet 1 , Pham Van Sy 2 , Tran Van Tra 3 , Le Van Linh 3 , Truong Ba Kien 1 , Ngo Thi Thuy 1*

Affiliations

1 Viet Nam Institute of Meteorology, Hydrology and Climate Change; hongviet97@gmail.com; tide4586@gmail.com

2 Climate Change Department; phamsymt@gmail.com

3 Water Resources Institute; tranvantra@gmail.com; linhlevan6527@gmail.com 

*Corresponding author: tide4586@gmail.com; Tel: +84–363003245

Abstracts

The article is developed to analyze the characteristics of particulate matter pollution in Hanoi using observation data at automatic monitoring stations. The estimation method of particulate matter emissions from road traffic is also implemented by the coupled model so-called WRF–SMOKE. The model is applied to estimate PM2.5 and PM10 emissions from road traffic in Hanoi city for 2021. The results are 325,045.8 tons/year (average 27,087.2 tons/month) and 523,565.9 tons/year (43,630.5 tons/month) respectively. Overall, the comparisons of the estimation result with EDGAR global emissions data and particular matter observation show similarity in terms of spatial and temporal distribution as well as the ratio between PM10 and PM2.5. This comparison performs the applicability of the numerical coupled model in estimating particular matter emissions.

Keywords

WRF-SMOKE; Emissions; Air pollution; Particulate matter; Road traffic; Hanoi.

Cite this paper

Viet, C.H.; Sy, P.V.; Tra, T.V.; Linh, L.V.; Kien, T.B.; Thuy, N.T. Application of numerical models in estimating particulate matter emissions (PM2.5 and PM10) from road traffic: A case study in Ha Noi, Viet Nam. VN J. Hydrometeorol. 2022, 12, 67-79. 

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