Air quality improvement assessment and exposure risk of Shandong Province in China during 2014 to 2020

Wang, N N; Zhu, Chuanyong; Li, Wei; Qiu, M Y; Wang, B L; Li, X Y; Jiang, Bo; Qu, Xinyue; Li, Z S; Cheng, Haomiao

doi:10.1007/s13762-022-04651-5

Cited by 4 publications

(2 citation statements)

References 26 publications

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“…Table 1 shows the occurrence frequencies of individual criteria pollutants as the main pollutant in Hami and Turpan from 2018 to 2022. Unlike eastern China, where PM 2.5 , NO 2 , and O 3 were typical main pollutants [34,35], PM 10 was the most frequent main pollutant in eastern Xinjiang, followed by PM 2.5 and O 3 . In Hami and Turpan, the occurrence frequencies of PM 10 as the main pollutant were 63.1% and 74.1%, respectively, which is much higher than that in eastern Chinese cities (e.g., Shanghai, 5.00%) [34].…”

Section: Air Quality and Main Pollutantsmentioning

confidence: 88%

“…A similar increasing trend of O 3 has also been observed in eastern China. For example, in Lianyungang, a coastal city, the annual average concentration of O 3 increased by 0.92 µg•m −3 •yr −1 from 2015 to 2018; a continuous upward trend with a growth rate of 3.50% yr −1 was observed in Shandong from 2014 to 2020 [35,47]. Although the O 3 pollution in eastern Xinjiang has not attained the level in eastern China, its rapid growth indicated that a combined pollution of PM and O 3 might become the main situation of air pollution in eastern Xinjiang.…”

Section: Diurnal Weekly and Monthly Variationsmentioning

confidence: 99%

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Analysis of Air Pollutants and Their Potential Sources in Eastern Xinjiang, Northwestern Inland China, from 2018 to 2022

Zhang,

Xu,

Zhang

et al. 2023

Atmosphere

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Air pollution in the developed regions of eastern China has been intensively investigated in the past decade. However, there is a relative dearth of air pollution studies on the northwest of inland China (e.g., Xinjiang). In this work, hourly measurement data of six criteria air pollutants (PM2.5, PM10, CO, NO2, O3, and SO2) for the past five years (2018–2022) from Hami and Turpan cities of eastern Xinjiang were analyzed to reveal air pollution characteristics and the distribution of potential sources. Hami and Turpan had the highest AQI values in winter due to increased coal combustion for domestic heating and unfavorable meteorological conditions. The slight elevations of AQI values in spring were caused by frequent dust storms. PM10 was the most frequent main pollutant in both Hami (63.1%) and Turpan (74.1%), followed by PM2.5 and O3. Except for O3, PM2.5, PM10, SO2, NO2, and CO exhibited a generally decreasing pattern in annual average values. But the annual average concentrations of PM10 in Hami (83.5 μg·m−3) and Turpan (139 μg·m−3) in 2022 were still higher than those in eastern China. Diurnal and monthly variations of the six criteria pollutants were influenced by a combination of emission sources and meteorological conditions. The air masses in eastern Xinjiang mainly originated from the west and north and were affected by both inter-regional and intra-regional transport. Analysis of the distribution of potential sources showed that local emissions strongly impacted particulate matter pollution in winter, while regional transport played a dominant role in other seasons. O3 showed a broad distribution of potential sources across all four seasons. Considering that the trend that O3 pollution increased year by year, eastern Xinjiang might face a similar pollution situation as eastern China, i.e., the combined pollution of particulate matter and O3.

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Section: Air Quality and Main Pollutantsmentioning

confidence: 88%

Section: Diurnal Weekly and Monthly Variationsmentioning

confidence: 99%

Analysis of Air Pollutants and Their Potential Sources in Eastern Xinjiang, Northwestern Inland China, from 2018 to 2022

Zhang,

Xu,

Zhang

et al. 2023

Atmosphere

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Environmental factors influencing the development and spread of resistance in erythromycin-resistant streptococcus pneumoniae

Sun,

Zhao,

et al. 2024

Environ Geochem Health

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A Human Health Risk Assessment (HHRA) associated with gaseous pollutants in the ambient environment at Coimbatore City's High Traffic Road

karthikeyan,

Arunachalam

2024

Preprint

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Adverse gaseous environmental pollutants are more prevalent due to the exponential rise of motorized road transportation, facilitated by the development of medical centers, IT sectors, and expanding urbanization. Therefore, to calculate the Air Quality Index, it is necessary to analyze and quantify the concentration of pollutants, including CO, NOX, SOX, and PM10, in the ambient air at the intersections of traffic zones along National Highway 544 (Avinashi Road), which runs through the city of Coimbatore, Southern part of India (11.0168°N, 76.9558°E). Additionally, it is essential to predict the dispersion of these pollutants using Quantum GIS. Between May and October of 2023, a Respirable dust sampler is used to gather ambient air samples at 15 locations based on zones with heavy traffic signals. Air quality is determined by comparing quantitative data with the National Ambient Air Quality Standards (NAAQs). The dispersion rate in terms of concentration of CO, NOX, and SOX in the sampling locations of National Highway 544 revealed that At the Sampling Location (SL5), the mean NOX concentration in May was higher (85 µg/m³) than in other sampling months. May 2023 observed a high mean SOX concentration value at SL7 (54 µg/m³), and NH 544's SL7 (2.14 mg/m3) had a significantly high mean CO concentration because of increased temperature. Comparing SL5, SL7, and SL12 to other sampling locations, these three spots rank lower in the Very Poor category mainly because of improper roadway alignment, traffic congestion, violations of traffic laws, poor vehicle maintenance, and end-of-life cars. The Hazard Quotient (HQ) for CO pollutants was less than 1, whereas the HQ for NOX and SOX was more significant than 1 for all exposed groups. In humans, low levels can result in hospitalization for respiratory infections and acute and obstructive lung diseases.

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Air quality improvement assessment and exposure risk of Shandong Province in China during 2014 to 2020

Cited by 4 publications

References 26 publications

Analysis of Air Pollutants and Their Potential Sources in Eastern Xinjiang, Northwestern Inland China, from 2018 to 2022

Analysis of Air Pollutants and Their Potential Sources in Eastern Xinjiang, Northwestern Inland China, from 2018 to 2022

Environmental factors influencing the development and spread of resistance in erythromycin-resistant streptococcus pneumoniae

A Human Health Risk Assessment (HHRA) associated with gaseous pollutants in the ambient environment at Coimbatore City's High Traffic Road

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