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Open AccessJournal ArticleDOI

Severe haze in northern China: A synergy of anthropogenic emissions and atmospheric processes.

TLDR
It is highlighted that improved understanding of the emission sources, physical/chemical processes during haze evolution, and interactions with meteorological/climatic changes are necessary to unravel the causes, mechanisms, and trends for haze pollution.
Abstract
Regional severe haze represents an enormous environmental problem in China, influencing air quality, human health, ecosystem, weather, and climate. These extremes are characterized by exceedingly high concentrations of fine particulate matter (smaller than 2.5 µm, or PM2.5) and occur with extensive temporal (on a daily, weekly, to monthly timescale) and spatial (over a million square kilometers) coverage. Although significant advances have been made in field measurements, model simulations, and laboratory experiments for fine PM over recent years, the causes for severe haze formation have not yet to be systematically/comprehensively evaluated. This review provides a synthetic synopsis of recent advances in understanding the fundamental mechanisms of severe haze formation in northern China, focusing on emission sources, chemical formation and transformation, and meteorological and climatic conditions. In particular, we highlight the synergetic effects from the interactions between anthropogenic emissions and atmospheric processes. Current challenges and future research directions to improve the understanding of severe haze pollution as well as plausible regulatory implications on a scientific basis are also discussed.

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Citations
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Journal ArticleDOI

Identifying airborne transmission as the dominant route for the spread of COVID-19.

TL;DR: It is concluded that wearing of face masks in public corresponds to the most effective means to prevent interhuman transmission, and this inexpensive practice, in conjunction with simultaneous social distancing, quarantine, and contact tracing, represents the most likely fighting opportunity to stop the COVID-19 pandemic.
Journal ArticleDOI

Unexpected air pollution with marked emission reductions during the COVID-19 outbreak in China.

TL;DR: Unexpectedly, extreme particulate matter levels simultaneously occurred in northern China, and synergistic observation analyses and model simulations show that anomalously high humidity promoted aerosol heterogeneous chemistry, along with stagnant airflow and uninterrupted emissions from power plants and petrochemical facilities, contributing to severe haze formation.
Journal ArticleDOI

Contrasting trends of PM2.5 and surface-ozone concentrations in China from 2013 to 2017

TL;DR: It is demonstrated that the Chinese government was successful in the reduction of particulate matter in urban areas from 2013 to 2017, although the ozone concentration has increased significantly, suggesting a more complex mechanism of improving Chinese air quality in the future.
Journal ArticleDOI

Puzzling haze events in China during the coronavirus (COVID-19) shutdown.

TL;DR: During NYH‐20, PM2.5 levels correlated significantly with the oxidation ratio of nitrogen, and aged particles from northern China were found to impede atmospheric new particle formation and growth in Shanghai.
References
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Atmospheric chemistry and physics: from air pollution to climate change.

TL;DR: In this article, the authors present a model for the chemistry of the Troposphere of the atmosphere and describe the properties of the Atmospheric Aqueous phase of single aerosol particles.
Book

Atmospheric Chemistry and Physics: From Air Pollution to Climate Change

TL;DR: In this paper, the authors present a model for the chemistry of the Troposphere of the atmosphere and describe the properties of the Atmospheric Aqueous phase of single aerosol particles.
Book

China statistical yearbook

TL;DR: In this paper, the authors present a cross section of steel industry statistics and highlight the co operation of members and non members in supplying the information included in this publication, further details of the statistical sources used are given in the annex p 119.
Journal ArticleDOI

Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated-k model for the longwave

TL;DR: A rapid and accurate radiative transfer model (RRTM) for climate applications has been developed and the results extensively evaluated as discussed by the authors, which is performed using the correlated-k method: the k distributions are attained directly from the LBLRTM line-byline model, which connects the absorption coefficients used by RRTM to high-resolution radiance validations done with observations.
Journal ArticleDOI

Estimates and 25-year trends of the global burden of disease attributable to ambient air pollution: an analysis of data from the Global Burden of Diseases Study 2015

TL;DR: In this paper, the authors explored spatial and temporal trends in mortality and burden of disease attributable to ambient air pollution from 1990 to 2015 at global, regional, and country levels, and estimated the relative risk of mortality from ischaemic heart disease, cerebrovascular disease, chronic obstructive pulmonary disease, lung cancer, and lower respiratory infections from epidemiological studies using nonlinear exposure-response functions spanning the global range of exposure.
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