Assessment of winter air pollution episodes using long-range transport modeling in Hangzhou, China, during World Internet Conference, 2015

Ni, Zhi-zhen; Luo, Kun; Zhang, Junxi; Feng, Rui; Zheng, He-xin; Zhu, Haoran; Wang, Jingfan; Fan, Jianren; Gao, Xiang; Cen, K.

doi:10.1016/j.envpol.2018.01.069

Cited by 45 publications

(15 citation statements)

References 39 publications

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“…Compared with the season variation of PM 2.5 , the result for spatial distribution was winter> spring > autumn>summer. The seasonal characteristics of PM 2.5 concentration were consistent with the ground observation results in Hangzhou, and this year's variation was consistent with other cities, as well [58][59][60][61][62]. In winter, air pollution was still a serious issue that severely affected people's lives in China, and the administrative department continued struggling to find efficient ways to send this atmospheric pollution into remission.…”

Section: The Spatiotemporal Distribution In Pm 25supporting

confidence: 82%

The Spatiotemporal Distribution of PM2.5 and its Relationship to Land-Use Patterns and Special to Land-Use and People in Hangzhou

Tian¹

2018

SDRP-JESES

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SIFT DESK namics) [1]. The high exposure of babies to PM 10 turned out to be one of the primary causes of decreased head and body size [2], and the long-term exposure to high concentrations of PM 2.5 was associated with serious health complications including stroke, ischemic heart disease, chronic obstructive pulmonary disease (COPD), lung cancer (LC), and acute lower respiratory infection (ALRI) [3-10]. Ambient fine particulate matter (PM 2.5) pollution ranked sixth among all risk factors for global premature mortalities and disability-adjusted life-years (DALYs) [11, 12]. Song, et al. [13] used the national air quality monitoring stations in 367 cities in China between the years 2014 and 2016, which resulted in the population's attributable mortality rate (10-5 y-1) showing 112.0 in the current year analysis, and 124.3 in a 10year time lag analysis. Considering the lag health effects of long-term PM 2.5 exposure [13, 14], the health risks of infants and juveniles who live long-term amidst a severely polluted environment would increase drastically; we, as a people, must take responsibility for paying more attention to these potential health risks and improving their overall living environment.

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Section: The Spatiotemporal Distribution In Pm 25supporting

confidence: 82%

The Spatiotemporal Distribution of PM2.5 and its Relationship to Land-Use Patterns and Special to Land-Use and People in Hangzhou

Tian¹

2018

SDRP-JESES

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“…Two model domains were designed in this study ( Fig. 1a (Ni et al, 2018). The meteorological boundary and initial conditions were determined from the global objective final analysis (FNL) data of the National Centers for Environmental Prediction (Kalnay et al, 1996).…”

Section: Regional Chemistry Modeling Systemmentioning

confidence: 99%

Elucidating the ozone pollution in Yangtze River Delta region during the 2016 G20 summit for MICS-Asia III

Luo

Gao

et al. 2019

Preprint

Self Cite

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Abstract. To elucidate the factors governing urban ozone (O3) pollution during the campaign of G20 summit in 2016 Hangzhou, China, the Weather Research Forecast with Chemistry (WRF-Chem) model was used to simulate the spatial and temporal O3 evolution in the Yangtze River Delta (YRD) region from 24 August to 6 September 2016. Various atmospheric processes were analyzed to determine the influential factors of ozone formation through integrated process rate method. The results indicated that both the vertical diffusion and the enhanced process of local chemical generation accounted for the increase of surface O3 concentration in Hangzhou. Local chemical generation was found to positively correlated with O3 concentrations, with correlation coefficient of 0.77. In accordance with the tropical weather cycle, subsidence air and stagnant weather were induced. Dynamic circulations of O3 through advection were associated with the urban heat island effect. All these factors intensified ozone pollution in Hangzhou, particularly on 25 August 2016 (O3-8&#8201;h: 98&#8201;ppb). These findings provide insight into urban O3 formation and dispersion during tropical cyclone events, and support the Model Intercomparison Study Asia Phase III (MICS-Asia Phase III).

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“…In the field of outdoor air pollution research, Ni et al used the Weather Research and Forecasting with Chemistry Model to study the air pollution characteristics and its root causes in Hangzhou (the provincial capital of Zhejiang Province) during the second World Internet Conference in the winter of 2015. Their results showed that the control measures implemented one week before the meeting did help reduce the PM 2.5 pollution to some extent, with the total PM 2.5 concentration in Hangzhou decreased by 15% [24]. Feng [25].…”

Section: Introductionmentioning

confidence: 99%

Application of Fuzzy Optimization Model Based on Entropy Weight Method in Atmospheric Quality Evaluation: A Case Study of Zhejiang Province, China

Wang

Yang

2019

Sustainability

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A fuzzy optimization model based on the entropy weight method for investigating air pollution problems in various cities of Zhejiang Province, China has been proposed in this paper. Meanwhile, the air quality comprehensive evaluation system has been constructed based on the six major pollutants (SO2, NO2, CO, PM10, PM2.5 and O3) involved in China’s current air quality national standards. After analyzing the monthly data of six pollutants in 11 cities of Zhejiang Province from January 2015 to April 2018 by the above method, the authors found that, although the air quality of cities in Zhejiang Province did not reach the long-term serious pollution of Beijing, Tianjin, and Hebei, the air quality changes in the northern cities of Zhejiang were worse than those in southern Zhejiang. For example, the air quality of Shaoxing in northern Zhejiang has dropped by 14.85% in the last study period when compared with that of the beginning period, and Hangzhou, the provincial capital of Zhejiang, has also seen a decrease of 6.69% in air quality. The air quality of Lishui, Zhoushan and Wenzhou in southern Zhejiang has improved by 8.04%, 4.67% and 4.22% respectively. Apart from the geographical influence, the industrial structure of these cities is also an important cause for worse air quality. From the local areas in southern Zhejiang, cities have developed targeted air pollution control measures according to their own characteristics, including adjusting the industrial structure, changing the current energy consumption structure that heavily relies on coal, and improving laws and regulations on air pollution control, etc. In the four cities in central Zhejiang, the air quality at the end of the period (April 2018) has decreased from the beginning of the period (January 2015), given that there were no fundamental changes in their industrial structure and energy pattern.

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Assessment of winter air pollution episodes using long-range transport modeling in Hangzhou, China, during World Internet Conference, 2015

Cited by 45 publications

References 39 publications

The Spatiotemporal Distribution of PM2.5 and its Relationship to Land-Use Patterns and Special to Land-Use and People in Hangzhou

The Spatiotemporal Distribution of PM2.5 and its Relationship to Land-Use Patterns and Special to Land-Use and People in Hangzhou

Elucidating the ozone pollution in Yangtze River Delta region during the 2016 G20 summit for MICS-Asia III

Application of Fuzzy Optimization Model Based on Entropy Weight Method in Atmospheric Quality Evaluation: A Case Study of Zhejiang Province, China

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