2015-2022年四川盆地臭氧污染时空分布特征及其人口暴露水平评估  

Spatio-temporal Distribution of Ozone Pollution and Population Exposure Level Assessment in the Sichuan Basin,2015-2022

作　　者：何雨璐 王薇 张小玲 梁蓝元 柳霄钰 李寒杨 刘彤 HE Yu-lu;WANG Wei;ZHANG Xiao-ling;LIANG Lan-yuan;LIU Xiao-yu;LI Han-yang;LIU Tong(School of Atmospheric Sciences,Chengdu University of Information Technology/Plateau Atmosphere and Environment Key Laboratory of Sichuan Province,Chengdu 610225,China;Chengdu Plain Urban Meteorology and Environment Scientific Observation and Research Station of Sichuan Province,Chengdu 610225,China;Lingao County Meteorological Bureau,Lingao 571800,China)

机构地区：[1]成都信息工程大学大气科学学院/高原大气与环境四川省重点实验室,四川成都610225 [2]成都平原城市气象与环境四川省野外科学观测研究站,四川成都610225 [3]海南省临高县气象局,海南临高571800

出　　处：《生态与农村环境学报》2025年第4期506-516,共11页Journal of Ecology and Rural Environment

基　　金：国家重点研发计划(2023YFC3709301);成都信息工程大学引进人才科研启动项目(KYTZ202127);大学生创新创业训练计划项目(202210621024,202310621028)。

摘　　要：近年来形势严峻的近地面臭氧(O_(3))污染成为影响人群健康的关键环境风险之一。为研究四川盆地O_(3)污染时空分布对人口暴露的定量影响,基于2015—2022年空气质量国控站点监测数据、中国大气成分近实时追踪数据集(TAP)和人口密度等资料,利用统计学方法和人口加权的O_(3)污染暴露模型,分析四川盆地O_(3)污染时空分布特征以及O_(3)污染人口暴露水平。结果表明:(1)TAP数据集与站点观测数据高度相关,具有可用性。(2)2015—2022年四川盆地O_(3)浓度波动上升,2022年O_(3)浓度较2015年升高11.73%,以成都和重庆中心区域为主要高值中心,并逐步蔓延形成区域性O_(3)污染的空间格局。(3)各城市O_(3)人口加权平均浓度高于O_(3)区域平均浓度,指示区域潜在O_(3)健康风险较大。2015—2022年四川盆地暴露于中高浓度O_(3)区间的人口占比最高(63.67%)且呈增长趋势,高浓度O_(3)区间暴露人口的年均增长率最高(12.45%),表明O_(3)污染对人群的影响范围正在向较高浓度区间加剧集中。研究结果可为基于健康风险防控的四川盆地区域O_(3)污染治理提供科学依据。In recent years,the severe surface ozone(O_(3))pollution has become one of the key environmental risks affecting public health.To study the spatial and temporal distribution of O_(3)pollution and its quantitative impact on population exposure in the Sichuan Basin(SCB),the air quality data from national-controlled environmental monitoring stations from 2015 to 2022,the Tracking Air Pollution(TAP)dataset of atmospheric composition in China,and the population density information were used,and the statistical analysis and a population-weighted O_(3)exposure model were employed.The findings are as follows:(1)The TAP dataset demonstrates high reliability,with strong correlation to observational data.(2)O_(3)concentrations exhibited a fluctuating upward trend,increasing by 11.73%in the SCB from 2015 to 2022.The high-value centers of ozone concentration were mainly in the central urban areas of Chengdu and Chongqing,and gradually spreading to form a spatial pattern of regional ozone pollution.(3)The population-weighted average O_(3)concentration in each city was higher than the regional average,indicating a significant potential health risk associated to O_(3).From 2015 to 2022,the proportion of the population in the SCB exposed to medium-to-high O_(3)concentration reached a peak of 63.67%and showed an upward trend;the annual growth rate for the population exposed to high O_(3)concentration was the highest at 12.45%,suggesting that the impact of O_(3)pollution on the population is gradually shifting toward higher concentration ranges.The research findings provide a scientific basis for implementing health risk-based ozone pollution management in the SCB.

关 键 词：臭氧污染 时空分布 人口暴露风险 人口加权平均浓度 四川盆地 

分 类 号：X511[环境科学与工程—环境工程] X820.4