Survey-based inventory for atmospheric emissions from residential combustion in Vietnam

Huy, Lai Nguyen; Oanh, Nguyen Thi Kim; Phuc, Nguyen Hong; Nhung, Chu Phuong

doi:10.1007/s11356-020-11067-6

Cited by 10 publications

(2 citation statements)

References 43 publications

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“…Residential wood combustion/burning (RWC) in stoves, small boilers, and fireplaces are widely used for heating and for creating a cozy atmosphere in residences in the continental Nordic countries: Denmark, Finland, Norway, and Sweden; 1 it is also common in other regions in Europe 2 and worldwide. 3 Due to the incomplete combustion conditions and lack of emission control devices, RWC is also a critical emission source of air pollution, mainly fine particulate matter (PM), 4 which contains substances such as polycyclic aromatic hydrocarbons (PAHs) known to be linked to adverse health effects. 5 Sigsgaard, Forsberg, Annesi-Maesano, Blomberg, Bølling, Boman, Bønløkke, Brauer, Bruce, and Heŕoux et al 6 present evidence that emissions from biomass, including residential solid fuels (RSFs), such as wood crop residue, animal waste, coal, and charcoal, and combustion products negatively affect respiratory and, possibly, cardiovascular health in Europe.…”

Section: Introductionmentioning

confidence: 99%

Low-Cost Particulate Matter Sensors for Monitoring Residential Wood Burning

Hassani,

Schneider,

Vogt

et al. 2023

Environ. Sci. Technol.

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Conventional monitoring systems for air quality, such as reference stations, provide reliable pollution data in urban settings but only at relatively low spatial density. This study explores the potential of low-cost sensor systems (LCSs) deployed at homes of residents to enhance the monitoring of urban air pollution caused by residential wood burning. We established a network of 28 Airly (Airly-GSM-1, SP. Z o.o., Poland) LCSs in Kristiansand, Norway, over two winters (2021−2022). To assess performance, a gravimetric Kleinfiltergeraẗ measured the fine particle mass concentration (PM 2.5 ) in the garden of one participant's house for 4 weeks. Results showed a sensor-toreference correlation equal to 0.86 for raw PM 2.5 measurements at daily resolution (bias/RMSE: 9.45/11.65 μg m −3 ). High-resolution air quality maps at a 100 m resolution were produced by combining the output of an air quality model (uEMEP) using data assimilation techniques with the network data that were corrected and calibrated by using a proposed five-step network data processing scheme. Leave-one-out cross-validation demonstrated that data assimilation reduced the model's RMSE, MAE, and bias by 44−56, 38−48, and 41−52%, respectively.

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Section: Introductionmentioning

confidence: 99%

Low-Cost Particulate Matter Sensors for Monitoring Residential Wood Burning

Hassani,

Schneider,

Vogt

et al. 2023

Environ. Sci. Technol.

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“…Although there are examples of comprehensive emission inventories for the residential sector based on fuel consumption [9,10], data access for emission estimation is problematic in many countries. For example, investigators in Norway use a web-crawler that uses online estate adverts in order to collect data [11]; some investigations in China employ indirect methods such as regression models for fuel consumption estimation [12]; and surveys have been utilized for data collection in Vietnam [13], China [14,15], and Lombardy (Italy) [16]. Other approaches utilize comprehensive measurement campaigns as a basis for emission inventories [17,18] or GIS-based gap-filling [19].…”

Section: Introductionmentioning

confidence: 99%

Bottom–Up Inventory of Residential Combustion Emissions in Poland for National Air Quality Modelling: Current Status and Perspectives

et al. 2021

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For many years, the Polish air quality modelling system was decentralized, which significantly hampered the appropriate development of methodologies, evaluations, and comparisons of modelling results. The major contributor to air pollution in Poland is the residential combustion sector. This paper demonstrates a novel methodology for residential emission estimation utilized for national air quality modelling and assessment. Our data were compared with EMEP and CAMS inventories, and despite some inequalities in country totals, spatial patterns were similar. We discuss the shortcomings of the presented method and draw conclusions for future improvements.

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Large spatio-temporal variations of size-resolved particulate matter and volatile organic compounds in urban area with heavy traffic

Phuc

Oanh

2021

Environ Sci Pollut Res

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A monitoring campaign, the first of this kind for a heavy traffic urban area of Vietnam, was conducted which generated nearly 200 daily filter samples of PM 2.5 , PM 10 , and black carbon (BC), 1300 online hourly PMx (PM 10 , PM 2.5 , and PM 1 ), 900 hourly/ bi-hourly BTEX data, 700 h of traffic counts, and online meteorology records. PMx and BTEX levels show large horizontal gradients across this small urban area of 300 m width suggesting that the pollution data should be generated with sufficient spatial resolutions for assessment of the exposure and health effects. This paper focuses on analyzing PMx with reference to the previously published BTEX to provide a more complete picture of the traffic-related pollution in the area. Spatio-temporal variations of pollutants are analyzed in relation to traffic flows and fleet compositions, weekday-weekend effects, local and regional meteorology. PM 10 and BTEX levels had larger variations between the sites indicating their stronger associations with the traffic activities than the finer particles. Twenty-four-hour (24 h) PM 2.5 levels ranged between 19 and 191 µg/m 3 with high PM 1 /PM 2.5 ratios of above 0.8 at ambient site (AA) and above 0.7 at roadsides. Multivariate relationship analysis (PCA) for the bi-hourly datasets of meteorology, traffic flows, and pollutant levels indicated overwhelming influence of onroad traffic fleet compositions on the roadside pollutants levels. At AA, PCA results showed a complex interaction between local emissions, meteorological conditions, and regional/long-range transport. Higher pollution levels were associated with the airmass types having the continental origin and pathways.

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Survey-based inventory for atmospheric emissions from residential combustion in Vietnam

Cited by 10 publications

References 43 publications

Low-Cost Particulate Matter Sensors for Monitoring Residential Wood Burning

Low-Cost Particulate Matter Sensors for Monitoring Residential Wood Burning

Bottom–Up Inventory of Residential Combustion Emissions in Poland for National Air Quality Modelling: Current Status and Perspectives

Large spatio-temporal variations of size-resolved particulate matter and volatile organic compounds in urban area with heavy traffic

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