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中国的地表臭氧污染:趋势、暴露风险和驱动因素。

Surface ozone pollution in China: Trends, exposure risks, and drivers.

机构信息

College of Resources and Environment, Yangtze University, Wuhan, China.

School of Resource and Environmental Sciences, Wuhan University, Wuhan, China.

出版信息

Front Public Health. 2023 Mar 21;11:1131753. doi: 10.3389/fpubh.2023.1131753. eCollection 2023.

Abstract

INTRODUCTION

Within the context of the yearly improvement of particulate matter (PM) pollution in Chinese cities, Surface ozone (O) concentrations are increasing instead of decreasing and are becoming the second most important air pollutant after PM. Long-term exposure to high concentrations of O can have adverse effects on human health. In-depth investigation of the spatiotemporal patterns, exposure risks, and drivers of O is relevant for assessing the future health burden of O pollution and implementing air pollution control policies in China.

METHODS

Based on high-resolution O concentration reanalysis data, we investigated the spatial and temporal patterns, population exposure risks, and dominant drivers of O pollution in China from 2013 to 2018 utilizing trend analysis methods, spatial clustering models, exposure-response functions, and multi-scale geographically weighted regression models (MGWR).

RESULTS

The results show that the annual average O concentration in China increased significantly at a rate of 1.84 μg/m/year from 2013 to 2018 (160 μg/m) in China increased from 1.2% in 2013 to 28.9% in 2018, and over 20,000 people suffered premature death from respiratory diseases attributed to O exposure each year. Thus, the sustained increase in O concentrations in China is an important factor contributing to the increasing threat to human health. Furthermore, the results of spatial regression models indicate that population, the share of secondary industry in GDP, NOx emissions, temperature, average wind speed, and relative humidity are important determinants of O concentration variation and significant spatial differences are observed.

DISCUSSION

The spatial differences of drivers result in the spatial heterogeneity of O concentration and exposure risks in China. Therefore, the O control policies adapted to various regions should be formulated in the future O regulation process in China.

摘要

简介

在中国城市颗粒物(PM)污染逐年改善的背景下,地面臭氧(O)浓度不降反升,已成为继 PM 之后的第二大重要空气污染物。长期暴露于高浓度的 O 会对人体健康产生不利影响。深入研究 O 的时空分布格局、暴露风险及其驱动因素,对于评估 O 污染对未来健康的负担以及在中国实施空气污染控制政策具有重要意义。

方法

本研究基于高分辨率 O 浓度再分析数据,利用趋势分析方法、空间聚类模型、暴露-反应函数和多尺度地理加权回归模型(MGWR),研究了 2013 年至 2018 年中国 O 污染的时空分布格局、人群暴露风险及其主导因素。

结果

结果表明,中国的年平均 O 浓度从 2013 年到 2018 年以每年 1.84μg/m 的速度显著增加(从 160μg/m 增加到 2018 年的 180μg/m),2013 年至 2018 年 O 暴露导致的呼吸道疾病过早死亡人数每年超过 2 万人。因此,中国 O 浓度的持续增加是对人类健康威胁不断增加的一个重要因素。此外,空间回归模型的结果表明,人口、第二产业 GDP 份额、NOx 排放、温度、平均风速和相对湿度是 O 浓度变化的重要决定因素,且存在显著的空间差异。

讨论

驱动因素的空间差异导致了中国 O 浓度和暴露风险的空间异质性。因此,未来在中国的 O 管理过程中,应制定适应不同地区的 O 控制政策。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9008/10071862/7670254fcfc2/fpubh-11-1131753-g0001.jpg

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