Urban air quality and regional haze weather forecast for Yangtze River Delta region

Wang, Tijian; Jiang, Fei; Deng, Junjun; Shen, Yi; Fu, Q.; Wang, Qian; Yin, Fang‐Fang; Xu, Jin; Zhang, Danning

doi:10.1016/j.atmosenv.2012.01.014

Cited by 137 publications

(62 citation statements)

References 30 publications

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“…In terms of economy, technology, and culture, the delta region is one of the most developed and wealthiest in China. However, with rapid economic development and high-energy consumption, YRD has been suffering air pollution problems in the past three decades [67]. Air pollutant emissions are increasing steadily, regional visibility is decreasing, and ozone concentrations are increasing [68], all of which deteriorate the regional environment and pose high potential health risks to local residents.…”

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confidence: 99%

Mapping Social Vulnerability to Air Pollution: A Case Study of the Yangtze River Delta Region, China

Zhang

Dou

et al. 2017

Sustainability

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Many frequent and severe air pollution incidents have emerged across the vast parts of China recently. The identification of factors and mapping social vulnerability has become extremely necessary for environmental management and sustainable development. However, studies associating social vulnerability with air pollution remain sparse. With reference to research achievements of social vulnerability, this study made a new trial regarding social vulnerability assessment to air pollution. With the projection pursuit cluster (PPC) model, the top three factors contributing to social vulnerability index (SVI) were discovered and SVI and SVI dimensions (susceptibility, exposure, and adaptability) were evaluated. Results revealed that adaptability values are higher than susceptibility and exposure values. SVI is in a poor condition as, for the whole region, most values belong to the high-medium level. High SVI values mainly appear in the northern and the southern ends of study area. SVI in Shanghai is lower than in Jiangsu and Zhejiang provinces. On the scale of prefecture-level city, it can be found that the low-value centers of SVI always occurred in urban core areas. The spatial variation and inequality in social vulnerability provide policy-makers a scientific basis for air pollution prevention and sustainable management.

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confidence: 99%

Mapping Social Vulnerability to Air Pollution: A Case Study of the Yangtze River Delta Region, China

Zhang

Dou

et al. 2017

Sustainability

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“…M a is easily available from regular particle air quality measurements with several standard instruments (Gebicki and Szymanska, 2012;Wang et al, 2012), such as the beta ray attenuation method. Based on the definition of the aerosol extinction coefficient (β e ) (Liou, 2002;van de Hulst, 1957), n Im can be obtained from the relationship between n Im and the aerosol extinction coefficient (β e ) (seen in the Appendix A):…”

Section: R M Yuan Et Al: a New Methods For Estimating Aerosol Mass mentioning

confidence: 99%

A new method for estimating aerosol mass flux in the urban surface layer using LAS technology

et al. 2016

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Abstract. Atmospheric aerosol greatly influences human health and the natural environment, as well as the weather and climate system. Therefore, atmospheric aerosol has attracted significant attention from society. Despite consistent research efforts, there are still uncertainties in understanding its effects due to poor knowledge about aerosol vertical transport caused by the limited measurement capabilities of aerosol mass vertical transport flux. In this paper, a new method for measuring atmospheric aerosol vertical transport flux is developed based on the similarity theory of surface layer, the theory of light propagation in a turbulent atmosphere, and the observations and studies of the atmospheric equivalent refractive index (AERI). The results show that aerosol mass flux can be linked to the real and imaginary parts of the atmospheric equivalent refractive index structure parameter (AERISP) and the ratio of aerosol mass concentration to the imaginary part of the AERI. The real and imaginary parts of the AERISP can be measured based on the lightpropagation theory. The ratio of the aerosol mass concentration to the imaginary part of the AERI can be measured based on the measurements of aerosol mass concentration and visibility. The observational results show that aerosol vertical transport flux varies diurnally and is related to the aerosol spatial distribution. The maximum aerosol flux during the experimental period in Hefei City was 0.017 mg m −2 s −1 , and the mean value was 0.004 mg m −2 s −1 . The new method offers an effective way to study aerosol vertical transport in complex environments.

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“…With the process of urbanization, the amount of construction and motor vehicles is also increasing gradually. Ambient PM 2.5 samples were collected daily at 11 sites including urban sites, industrial sites, and clean sites (description and location of these sites are shown in Figure 1) in Wuxi in January (18 January-2 February except 21 January), April (12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26), August (2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16), and October (9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23) in 2016, representing winter, spring, summer, and autumn respectively. Wuxi.…”

Section: Study Area and Sampling Sitesmentioning

confidence: 99%

Source Apportionment of PM2.5 during Haze and Non-Haze Episodes in Wuxi, China

et al. 2018

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Chemical characteristics of fine particulate matter (PM 2.5 ) in Wuxi at urban, industrial, and clean sites on haze and non-haze days were investigated over four seasons in 2016. In this study, high concentrations of fine particulate matter (107.6 ± 25.3 µg/m 3 ) were measured in haze episodes. The most abundant chemical components were organic matter (OM), SO 4 2− , NO 3 − , elemental carbon (EC), and NH 4 + , which varied significantly on haze and non-haze days. The concentrations of OM and EC were 38.5 ± 5.4 µg/m 3 and 12.3 ± 2.1 µg/m 3 on haze days, which were more than four times greater than those on non-haze days. Source apportionment using a chemical mass balance (CMB) model showed that the dominant sources were secondary sulfate (17.7%), secondary organic aerosols (17.1%), and secondary nitrate (14.2%) during the entire sampling period. The source contribution estimates (SCEs) of most sources at clean sites were lower than at urban and industrial sites. Primary industrial emission sources, such as coal combustion and steel smelting, made larger contributions at industrial sites, while vehicle exhausts and cooking smoke showed higher contributions at urban sites. In addition, the SCEs of secondary sulfate, secondary nitrate, and secondary organic aerosols on haze days were much higher than those on non-haze days, indicating that the secondary particulate matter formations process was the dominating reason for high concentrations of particles on haze days.

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Urban air quality and regional haze weather forecast for Yangtze River Delta region

Cited by 137 publications

References 30 publications

Mapping Social Vulnerability to Air Pollution: A Case Study of the Yangtze River Delta Region, China

Mapping Social Vulnerability to Air Pollution: A Case Study of the Yangtze River Delta Region, China

A new method for estimating aerosol mass flux in the urban surface layer using LAS technology

Source Apportionment of PM2.5 during Haze and Non-Haze Episodes in Wuxi, China

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