2015-2019年跨境生物质燃烧对中国南方春季PM2.5人群暴露的影响

IF 7.2 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Environmental Pollution Pub Date : 2026-11-15 Epub Date: 2026-09-04 DOI:10.1016/j.envpol.2026.129081
Muhammad Haseeb Ullah, Jun Zhu, Wen-Jie Yan, Aliya Fazal, Zhen-Xin Liu, GuLiZaEr KuErBan, Farheen Zafar, Xu Yue
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引用次数: 0

摘要

背景:每年春季(3 - 4月),中南半岛(ICP)的生物质燃烧火灾将烟雾顺风送入中国南部,与云南、广西和广东春季PM2.5升高相吻合。这种运输的辐射和生态影响已经确定,但其春季人口暴露负担的特征仍然很差。目的:量化世卫组织和中国标准下的春季PM2.5人群暴露量,并通过对照模型实验确定ICP火灾的贡献。方法:将51个城市的日PM2.5数据与WorldPop人口数据相结合,计算2015-2019年3 - 4月高于WHO 2021指南(24小时,15 μg/m3)和中国GB 3095-2012二级标准(75 μg/m3)的暴露量,并配对GEOS-Chem模拟2°× 2.5°,有无ICP火灾导致火灾。结果:在观测到的PM2.5浓度下,暴露于WHO 24小时指导值以上的情况几乎是普遍的(每年超过指导值的人口加权天数占比达到78 - 96%)。这三个省份均罕见暴露于较高的中国二级标准,人口加权超标天数比例在云南为1% ~ 6%,广西为1% ~ 6%,广东为0 ~ 5%;按绝对值计算,这相当于整个走廊平均每天暴露在辐射中的人口约为600万,不到其居民的3%,广东的人口较多抵消了其较低的超标比例。在对照GEOS-Chem实验中,云南、广西和广东春季PM2.5分别占25% (9.6 μg/m3)、6% (3.3 μg/m3)和4% (1.6 μg/m3),呈单调的西向东梯度,与臭氧(10%、5%、2%)平行。将这一归因转化为暴露量,ICP火灾估计每天平均有220万至260万人超过中国PM2.5标准(占所有超标暴露量的36-44%),约1100万人超过世卫组织臭氧指南。结论:模型归因的ICP-fire贡献在云南最大,向东减弱,而走廊两侧的国家标准超标仍然是间歇性的;该模式支持各省特定的、与运输相关的空气质量评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Transboundary biomass-burning influence on springtime PM2.5 population exposure across southern China during 2015-2019.

Background: Every spring (March-April), biomass-burning fires in the Indo-China Peninsula (ICP) send smoke downwind into southern China, coinciding with elevated springtime PM2.5 in Yunnan, Guangxi, and Guangdong. The radiative and ecological effects of this transport are established, but its springtime population-exposure burden remains poorly characterised.

Objective: To quantify springtime PM2.5 population exposure under WHO and Chinese benchmarks, and attribute the ICP fire contribution with a controlled model experiment.

Methods: Daily PM2.5 from 51 cities was combined with WorldPop population data to compute exposure above the WHO 2021 guideline (24-h, 15 μg/m3) and China's GB 3095-2012 Grade II standard (75 μg/m3) for March-April 2015-2019, and paired GEOS-Chem simulations at 2° × 2.5° with and without ICP fire attributed the fire contribution.

Results: At observed PM2.5 concentrations, exposure above the WHO 24-h guideline was near-universal (the population-weighted share of exceedance days reached 78 to 96% every year). Exposure above the higher China Grade II standard was rare in all three provinces, with the population-weighted share of exceedance days spanning 1 to 6% in Yunnan, 1 to 6% in Guangxi, and 0 to 5% in Guangdong; in absolute terms this corresponds to an average daily exposed population of about 6 million across the corridor, under 3% of its residents, with Guangdong's larger population offsetting its lower exceedance fraction. A controlled GEOS-Chem experiment with and without ICP fire attributed 25% (9.6 μg/m3) of Yunnan's springtime PM2.5 to ICP burning, 6% (3.3 μg/m3) in Guangxi and 4% (1.6 μg/m3) in Guangdong, a monotonic west-to-east gradient paralleled by ozone (10%, 5%, 2%). Translating this attribution into exposure, ICP fire carried an estimated average daily population of 2.2-2.6 million above the China PM2.5 standard (36-44% of all above-standard exposure), and about 11 million above the WHO ozone guideline.

Conclusions: The model-attributed ICP-fire contribution is largest in Yunnan and attenuates eastward, while national-standard exceedance remains episodic across the corridor; this pattern supports province-specific, transport-aware air-quality assessment.

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来源期刊
Environmental Pollution
Environmental Pollution 环境科学-环境科学
CiteScore
16.00
自引率
6.70%
发文量
2082
审稿时长
2.9 months
期刊介绍: Environmental Pollution is an international peer-reviewed journal that publishes high-quality research papers and review articles covering all aspects of environmental pollution and its impacts on ecosystems and human health. Subject areas include, but are not limited to: • Sources and occurrences of pollutants that are clearly defined and measured in environmental compartments, food and food-related items, and human bodies; • Interlinks between contaminant exposure and biological, ecological, and human health effects, including those of climate change; • Contaminants of emerging concerns (including but not limited to antibiotic resistant microorganisms or genes, microplastics/nanoplastics, electronic wastes, light, and noise) and/or their biological, ecological, or human health effects; • Laboratory and field studies on the remediation/mitigation of environmental pollution via new techniques and with clear links to biological, ecological, or human health effects; • Modeling of pollution processes, patterns, or trends that is of clear environmental and/or human health interest; • New techniques that measure and examine environmental occurrences, transport, behavior, and effects of pollutants within the environment or the laboratory, provided that they can be clearly used to address problems within regional or global environmental compartments.
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