Urbanization-induced population migration has reduced ambient PM
            <sub>2.5</sub>
            concentrations in China

Shen, Huizhong; Tao, Shu; Chen, Yilin; Ciais, Philippe; Güneralp, Burak; Ru, Muye; Zhong, Qirui; Yun, Xiao; Zhu, Xi; Huang, Tianbo; Wei, Tao; Chen, Yuanchen; Li, Bengang; Wang, Xilong; Liu, Wenxin; Liu, Junfeng; Zhao, Shuqing

doi:10.1126/sciadv.1700300

Cited by 198 publications

(166 citation statements)

References 48 publications

(72 reference statements)

Supporting

Mentioning

163

Contrasting

Order By: Relevance

“…Pollutant emissions data were made publicly available by the School of Environmental Sciences at Peking University (http://inventory.pku.edu.cn). Second, high space-time resolution emissions data can serve as an important input into the GEOS-Chem atmospheric transport model to derive high-resolution and spatio-temporally consistent pollutant concentrations [26,27]. Finally, official air pollution monitoring data did not have the necessary temporal coverage required by the present study.…”

Section: Pollutant Emissions Datamentioning

confidence: 94%

A Dynamic Spatio-Temporal Analysis of Urban Expansion and Pollutant Emissions in Fujian Province

Zhao

Dong

2020

IJERPH

View full text Add to dashboard Cite

Urbanization processes at both global and regional scales are taking place at an unprecedent pace, leading to more than half of the global population living in urbanized areas. This process could exert grand challenges on the human living environment. With the proliferation of remote sensing and satellite data being used in social and environmental studies, fine spatial- and temporal-resolution measures of urban expansion and environmental quality are increasingly available. This, in turn, offers great opportunities to uncover the potential environmental impacts of fast urban expansion. This paper investigated the relationship between urban expansion and pollutant emissions in the Fujian province of China by building a Bayesian spatio-temporal autoregressive model. It drew upon recently compiled pollutant emission data with fine spatio-temporal resolution, long temporal coverage, and multiple sources of remote sensing data. Our results suggest that there was a significant relationship between urban expansion and pollution emission intensity—urban expansion significantly elevated the PM2.5 and NOx emissions intensity in Fujian province during 1995–2015. This finding was robust to different measures of urban expansion and retained after controlling for potential confounding effects. The temporal evolution of pollutant emissions, net of covariate effects, presented a fluctuation pattern rather than a consistent trend of increasing or decreasing. Spatial variability of the pollutant emissions intensity among counties was, however, decreasing steadily with time.

show abstract

Section: Pollutant Emissions Datamentioning

confidence: 94%

A Dynamic Spatio-Temporal Analysis of Urban Expansion and Pollutant Emissions in Fujian Province

Zhao

Dong

2020

IJERPH

View full text Add to dashboard Cite

show abstract

“…The use of biomass fuels in residential areas in India and traditional technologies/ practices such as open mass burning for field clearing, has been one of the few sources of the high ambient PM 2.5 concentrations in the country's major locations [50]. By contrast, China's rapid growth and urbanization have led to severe environmental pollution with concentrations beyond healthy air quality levels [51]. Similar to the cultural/traditional practices in India, sub-Saharan Africa owes its increased ambient PM 2.5 to savanna burning [52], with almost 30% of the tropical biomass being burned in the continent [53].…”

Section: Atmospheric Aerosol Emissionsmentioning

confidence: 99%

Effect of global atmospheric aerosol emission change on PM_2.5-related health impacts

Seposo

Ueda

Park

et al. 2019

Global Health Action

View full text Add to dashboard Cite

Background: Previous research has highlighted the importance of major atmospheric aerosols such as sulfate, through its precursor sulfur dioxide (SO 2), black carbon (BC), and organic carbon (OC), and their effect on global climate regimes, specifically on their impact on particulate matter measuring ≤ 2.5 μm (PM 2.5). Policy regulations have attempted to address the change in these major active aerosols and their impact on PM 2.5 , which would presumably have a cascading effect toward the change of health risks. Objective: This study aimed to determine how the change in the global emissions of anthropogenic aerosols affects health, particularly through the change in attributable mortality (AN) and years of life lost (YLL). This study also aimed to explore the importance of using AM/YLL in conveying air pollution health impact message. Methods: The Model for Interdisciplinary Research on Climate was used to estimate the gridded atmospheric PM 2.5 by changing the emission of SO 2 , BC, and OC. Next, the emissions were utilized to estimate the associated cause-specific risks via an integrated exposureresponse function, and its consequent health indicators, AM and YLL, per country. Results: OC change yielded the greatest benefit for all country income groups, particularly among low-middle-income countries. Utilizing either AM or YLL did not alter the order of benefits among upper-middle and high-income countries (UMIC/HIC); however, using either health indicator to express the order of benefit varied among low-and low-middle-income countries (LIC/LMIC). Conclusions: Global and country-specific mitigation efforts focusing on OC-related activities would yield substantial health benefits. Substantial aerosol emission reduction would greatly benefit high-emitting countries (i.e. China and India). Although no difference is found in the order of health outcome benefits in UMIC/HIC, caution is warranted in using either AM or YLL for health impact assessment in LIC/LMIC.

show abstract

“…Five-year Plans (FYP). Installation of flue gas desulfurization (FGD) systems, selective catalytic reduction (SCR) and selective non-catalytic reduction (SNCR) equipment in coal-fired power plants and high-emission industries (such as iron and steel, cement), phase-out of small power plants, and more stringent vehicle emission standards have been mandated to achieve these targets (Liu et al, 2015(Liu et al, , 2016avan der A et al, 2017;Zheng et al, 2018). In 2012, PM2.5 was included as an indicator in the new Ambient Air Quality Standards (GB 3095-2012).…”

Section: China's Air Pollution Regulationsmentioning

confidence: 99%

Decadal changes in anthropogenic source contribution of PM<sub>2.5</sub> pollution and related health impacts in China, 1990–2015

Li¹,

Zheng²,

Geng³

et al. 2019

Preprint

View full text Add to dashboard Cite

Abstract. Air quality in China has changed dramatically in response to rapid development of economy and policies. In this work, we investigate the changes of anthropogenic source contribution to ambient fine particulate matter (PM2.5) air pollution and related health impacts in China during 1990–2015 and elucidate the drivers behind the decadal transition. We estimate the contribution of five anthropogenic emitting sectors to ambient PM2.5 exposure and related premature mortality over China during 1990–2015 with 5-yr intervals, by using an integrated model framework of bottom-up emission inventory, chemical transport model, and the Global Exposure Mortality Model (GEMM). The national anthropogenic PM2.5-related premature mortality estimated with GEMM for the nonaccidental deaths due to noncommunicable diseases and lower respiratory infections rose from 1.26 million (95 % CI: 1.05, 1.46) in 1990 to 2.18 million (95 % CI: 1.84, 2.50) in 2005; then, it decreased to 2.10 million (95 % CI: 1.76, 2.42) in 2015. In 1990, the residential sector was the leading source of the PM2.5-related premature mortality [559,000 (95 % CI: 467,000, 645,900), 44 % of total] in China, followed by industry (29 %), power (13 %), agriculture (9 %) and transportation (5 %). In 2015, the industrial sector became the largest contributor of PM2.5-related premature mortality [734,000 (95 % CI: 615,500, 844,900), 35 % of total], followed by residential (25 %), agriculture (23 %), transportation (10 %) and power (6 %). The decadal changes in source contribution to PM2.5-related premature mortality in China represents a combined impact of socioeconomic development and clean air policy. For example, active control measures have successfully reduced pollution from power sector, while contribution from industrial and transportation sector continuously increased due to more prominent growth of activity rates. Transition in fuel consumption dominated the decrease of contribution from residential sector. In the meanwhile, contribution from agriculture sector continuously increased due to persistent NH3 emissions and enhanced formation of secondary inorganic aerosols under a NH3 rich environment.

show abstract

Urbanization-induced population migration has reduced ambient PM _2.5 concentrations in China

Abstract: Population migration has upgraded the direct energy consumption with remarkable benefits on air quality and health in China.

Cited by 198 publications

References 48 publications

A Dynamic Spatio-Temporal Analysis of Urban Expansion and Pollutant Emissions in Fujian Province

A Dynamic Spatio-Temporal Analysis of Urban Expansion and Pollutant Emissions in Fujian Province

Effect of global atmospheric aerosol emission change on PM_2.5-related health impacts

Decadal changes in anthropogenic source contribution of PM<sub>2.5</sub> pollution and related health impacts in China, 1990–2015

Contact Info

Product

Resources

About

Urbanization-induced population migration has reduced ambient PM 2.5 concentrations in China

Abstract: Population migration has upgraded the direct energy consumption with remarkable benefits on air quality and health in China.

Cited by 198 publications

References 48 publications

A Dynamic Spatio-Temporal Analysis of Urban Expansion and Pollutant Emissions in Fujian Province

A Dynamic Spatio-Temporal Analysis of Urban Expansion and Pollutant Emissions in Fujian Province

Effect of global atmospheric aerosol emission change on PM2.5-related health impacts

Decadal changes in anthropogenic source contribution of PM&lt;sub&gt;2.5&lt;/sub&gt; pollution and related health impacts in China, 1990–2015

Contact Info

Product

Resources

About

Urbanization-induced population migration has reduced ambient PM _2.5 concentrations in China

Effect of global atmospheric aerosol emission change on PM_2.5-related health impacts

Decadal changes in anthropogenic source contribution of PM<sub>2.5</sub> pollution and related health impacts in China, 1990–2015