Photochemical Smog Modelling Using the Air Pollution Chemical Transport Model (TAPM-CTM) in Ho Chi Minh City, Vietnam

Bang, Ho Quoc; H., Duc; Vu, Khue Hoang Ngoc; Hiền, Tô Thị

doi:10.1007/s10666-018-9613-7

Cited by 17 publications

(18 citation statements)

References 12 publications

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“…This model has also been used for modeling air quality in the Greater Metropolitan Region in New South Wales, Australia [21][22][23]. The TAPM-CTM model was applied in HCMC to simulate the photochemical smog in HCMC in 2018, and in the Southern of Vietnam for simulating meteorology and air pollutants dispersion [24]. Built on previous studies, in this paper, the TAPM-CTM version 4 was also used as the modeling method.…”

Section: Air Quality Modeling Using Tapm-ctm Systemmentioning

confidence: 99%

“…The models have been set up to cover appropriately the HCMC area as well as in verification tasks [4,24]. For meteorology, the simulation data was compared with monitoring data at Tan Son Hoa station (near the Tan Son Nhat international airport) and for air quality data; the results were compared with monitoring data at Nguyen Van Cu station (10.762549 • N, 106.682428 • E).…”

Section: Air Quality Modeling Using Tapm-ctm Systemmentioning

confidence: 99%

See 1 more Smart Citation

Poor Air Quality and Its Association with Mortality in Ho Chi Minh City: Case Study

Hoang

et al. 2020

Atmosphere

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Along with its rapid urban development, Ho Chi Minh City (HCMC) in recent years has suffered a high concentration of air pollutants, especially fine particulate matters or PM2.5. A comprehensive study is required to evaluate the air quality conditions and their health impact in this city. Given the lack of adequate air quality monitoring data over a large area of the size of HCMC, an air quality modeling methodology is adopted to address the requirement. Here, by utilizing a corresponding emission inventory in combination with The Air Pollution Model-Chemical Transport Model (TAPM-CTM), the predicted concentration of air pollutants is first obtained for PM2.5, NOx, and SO2. Then by associating the pollutants exposed with the mortality rate from three causes, namely Ischemic Heart Disease (IHD), cardiopulmonary, and lung cancer, the impact of air pollution on human health is obtained for this purpose. Spatial distribution has shown a high amount of pollutants concentrated in the central city with a high density of combustion vehicles (motorcycles and automobiles). In addition, a significant amount of emissions can be observed from stevedoring and harbor activities, including ferries and cargo handling equipment located along the river. Other sources such as household activities also contribute to an even distribution of emission across the city. The results of air quality modeling showed that the annual average concentrations of NO2 were higher than the standard of Vietnam National Technical Regulation on Ambient Air Quality (QCVN 05: 2013 40 µg/m3) and World Health Organization (WHO) (40 µg/m3). The annual average concentrations of PM2.5 were 23 µg/m3 and were also much higher than the WHO (10 µg/m3) standard by about 2.3 times. In terms of public health impacts, PM2.5 was found to be responsible for about 1136 deaths, while the number of mortalities from exposure to NO2 and SO2 was 172 and 89 deaths, respectively. These figures demand some stringent measures from the authorities to potentially remedy the alarming situation of air pollution in HCM City.

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Section: Air Quality Modeling Using Tapm-ctm Systemmentioning

confidence: 99%

Section: Air Quality Modeling Using Tapm-ctm Systemmentioning

confidence: 99%

Poor Air Quality and Its Association with Mortality in Ho Chi Minh City: Case Study

Hoang

et al. 2020

Atmosphere

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“…The validation of TAPM model has been performed through several comparative studies. For example, the comparison between the simulation of air quality for the Port Phillip and the observed values at mornitoring stations of EPA Victotira, Australia 15 , between the silmulation of PM 10 and the observed values at mornitoring station Christchurch, New Zealand 16 . In recent years, TAPM-CTM has been widey applied for simulating NO, NO 2 , and O 3 in the Greater Metropolitan Region in New South Wales, Australia [17][18][19][20][21] .…”

Section: Methodsmentioning

confidence: 99%

Study loading capacties of air pollutant emissions for developing countries: a case of Ho Chi Minh City, Vietnam

Nguyen

et al. 2020

Sci Rep

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, tam thoai nguyen, Hang thi thuy nguyen, Dung Minh Ho, Hien nhu nguyen & thuy thi thu nguyen * Ho chi Minh city (HcMc) is one of the cities in developing countries where many concentrations of air pollutants exceeded the Vietnam national technical regulation in ambient air quality including tSp, no x , ozone and co. these high pollutant concentrations have destroyed the human health of people in HcMc. Many zones in HcMc can't receive more air pollutants. the objectives of this research are: (i) Air quality modeling over HcMc by using the tApM-ctM system model by using a bottom up air emission inventory; and (ii) Study loading capactities of air pollutant emissions over Ho chi Minh city. Simulations of air pollution were conducted in Ho chi Minh city (HcMc), the largest city of Vietnam by using the tApM-ctM model. the model performance was evaluated using observed meteorological data at tan Son Hoa station and air quality data at the Ho chi Minh city University of Science. the model is then applied to simulate a retire 1-year period to determine the levels of air pollutants in HCMC in 2017, 2025 and 2030. The results show that the highest concentrations of CO, NO 2 , and o 3 in 2017 exceeded the National technical regulation in ambient air quality (QCVN 05:2013) 1.5, 1.5, and 1.1 times, respectively. These values also will increase in 2025 and 2030 if the local government does not have any plan for the reduction of emissions, especially, So 2 in 2030 also will be 1.02 times higher than that in QCVN 05:2013. The emission zoning was initially studied by calculating and simulating the loading capacities of each pollutant based on the highest concentration and the national technical regulation in ambient air quality. the results show that the center of HcMc could not receive anymore the emission, even needs to reduce half of the emission. Under the easterly prevailing wind in the dry season, the high pollution was more likely to be experienced in the west of Ho chi Minh. in contrast, the eastern regions were the upwind areas and the pollutants could transport to the downwind sectors. it was recommended that the best strategy for emission control in HcMc is avoiding industrial and urban development in the upwind areas to achieve better air quality for both areas. in the case of necessity to choose one area for development, the downwind sector is preferred. the results show that tApM-ctM performed well as applied to simulate the air quality in HcMc and is a promising tool to study the emission zoning. Ho Chi Minh City (HCMC), the largest city in Vietnam with its position as the political, economic, scientific and cultural center of the country, is located at 10 o 45′N and 106 o 45′E in the southeastern region of Vietnam. HCMC's economic growth rate has been skyrocketing in recent years. The population of HCMC is 8.6 million people, the number of private vehicles is about 9 million units. Currently, there are 19 manufacturing and industrial zones, 30 industrial clusters on an area of 1,900 ha, and numerous factories and...

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“…Forecasting results depend on many factors such as precursors, meteorological conditions, advantages and disadvantages of each method such as inherent local minima, "black-box" property and over-fitting, parameters identification [5]. Studies on the forecast of tropospheric ozone in Vietnam using artificial intelligence have been initiated; however, they are often focused on big cities like Hanoi, Can Tho, Ho Chi Minh City [8,9,10]. In Vietnam, most prediction of tropospheric ozone uses photochemical models and the use of machine learning to predict this pollutant is quite new [8,9,10,11].…”

Section: Introductionmentioning

confidence: 99%

Forecast of Hourly Tropospheric Ozone Concentration in Quang Ninh using MLP and SVM

Phương¹,

Hung²,

Nam³

et al. 2020

EES

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Support vector machine (SVM) and multilayer perceptron (MLP) were used to forecast hourly tropospheric ozone concentration at three locations of Quang Ninh, namely Cao Xanh, Uong Bi and Phuong Nam. Data used to train the models are the hourly concentrations of gaseous pollutants (O3, NO, NO2, CO) and meteorological parameters including wind direction, wind speed, temperature, atmospheric pressure, relative humidity measured in the 2016. Both models accurately forecast tropospheric ozone levels compared to the observation data. The correlation coefficients (r) of the models applied for the three locations range from 0.85 to 0.91. In addition, SVM exhibits a more accurate prediction than MLP, especially for those with large variations, i.e. high standard deviations.

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Photochemical Smog Modelling Using the Air Pollution Chemical Transport Model (TAPM-CTM) in Ho Chi Minh City, Vietnam

Cited by 17 publications

References 12 publications

Poor Air Quality and Its Association with Mortality in Ho Chi Minh City: Case Study

Poor Air Quality and Its Association with Mortality in Ho Chi Minh City: Case Study

Study loading capacties of air pollutant emissions for developing countries: a case of Ho Chi Minh City, Vietnam

Forecast of Hourly Tropospheric Ozone Concentration in Quang Ninh using MLP and SVM

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