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西安市大气污染物时空演化特征及对人体健康评价
引用本文:徐传奇,白杨,唐远薇,张欣宇,王志瑞,呼婧婧,杨锦涛.西安市大气污染物时空演化特征及对人体健康评价[J].环境科学,2024,45(6):3746-3755.
作者姓名:徐传奇  白杨  唐远薇  张欣宇  王志瑞  呼婧婧  杨锦涛
作者单位:山西师范大学地理科学学院, 太原 030031;中国气象局乌鲁木齐沙漠气象研究所, 塔克拉玛干沙漠气象国家野外科学观测研究站, 新疆沙漠气象与沙尘暴重点实验室, 新疆树木年轮生态实验室, 乌鲁木齐 830002
基金项目:中国沙漠气象科学研究基金项目(Sqj2022011);山西省哲学社会科学专项(2022YD064);山西省基础研究计划项目(202103021223257);山西省高等学校科技创新项目(2021L272);山西师范大学校基金山西省高质量发展重大问题研究专项(GZLFZ2326);山西师范大学自然科学基金基础研究项目(JCYJ2022017)
摘    要:西安市是我国西北政治、经济和文化中心,工业发达,但空气污染事件对社会经济的高质量发展带来极大挑战,探究该地区大气污染特征并厘清其对人体健康产生的影响至关重要.对西安市2015~2021年大气污染物的时空趋势变化特征进行分析;其次,利用空气质量指数(AQI)、综合空气质量指数(AAQI)和空气质量健康指数(HAQI)结合AirQ2.2.3 模型量化各污染物对人体的健康效应.结果发现,研究区整体空气质量呈良好状态,各大气污染物呈现下降态势.污染物主要以PM10 、PM2.5 和O3 为主,地形特征和人为排放的混合式污染是研究区的主要污染特征.AAQI和HAQI相较于AQI对污染水平表现出较好的分类效果,HAQI揭示研究区全年约有80 %左右的人口暴露于不健康的空气中,其中冬季暴露于不健康空气中的人群最多,其次为秋季、春季,夏季最少.AirQ2.2.3 模型量化出归因于PM2.5 、PM10 、SO2 、CO、NO2 和O3 的总死亡率比例分别为0.99 %、2.04 %、0.41 %、1.72 %、8.76 %和3.67 %,且呼吸系统和心脑血管疾病死亡率的可归因比例与总死亡率变化规律较为一致.

关 键 词:大气污染物  时空演化  空气质量  人体健康  超额风险
收稿时间:2023/5/6 0:00:00
修稿时间:2023/8/17 0:00:00

Air Pollutant Spatiotemporal Evolution Characteristics and Effects on Human Health in Xi'an City
XU Chuan-qi,BAI Yang,TANG Yuan-wei,ZHANG Xin-yu,WANG Zhi-rui,HU Jing-jing,YANG Jin-tao.Air Pollutant Spatiotemporal Evolution Characteristics and Effects on Human Health in Xi'an City[J].Chinese Journal of Environmental Science,2024,45(6):3746-3755.
Authors:XU Chuan-qi  BAI Yang  TANG Yuan-wei  ZHANG Xin-yu  WANG Zhi-rui  HU Jing-jing  YANG Jin-tao
Institution:School of Geographical Sciences, Shanxi Normal University, Taiyuan 030031, China;Taklimakan National Field Scientific Observation and Research Station of Desert Meteorology, Xinjiang Key Laboratory of Desert Meteorology and Sandstorm, Xinjiang Key Laboratory of Tree-Ring Ecology, Institute of Desert Meteorology, China Meteorological Administration, Urumqi 830002, China
Abstract:Xi''an is the political, economic, and cultural center of northwest China with a developed industry. Air pollution incidents have brought great challenges to the high-quality development of the social economy. It is vital to study air pollution characteristics and clarify their impact on human health. In this study, we first analyzed the spatiotemporal variations in air pollutants in the study region from 2015 to 2021. Then, the air quality index (AQI), aggregate air quality index (AAQI), and health risk-based air quality index (HAQI) were used to assess health risks. Based on these, the AirQ2.2.3 model was used to quantify health effects. The results showed that the major pollutants were PM10, PM2.5, and O3. The main pollution characteristics of the study area were terrain characteristics and the mixed pollution of anthropogenic emissions. Compared to that of AQI, AAQI and HAQI showed better classification performance for pollution levels. HAQI revealed that approximately 80 % of the population was exposed to unhealthy air throughout the year in the study region. People were most exposed to unhealthy air in winter, followed by autumn and spring, and the least in summer. The AirQ2.2.3 model quantified the total mortality proportions attributable to PM2.5, PM10, SO2, CO, NO2, and O3, which were 0.99 %, 2.04 %, 0.41 %, 1.72 %, 8.76 %, and 3.67 %, respectively. The attributable proportion of mortality of the respiratory system and cardiovascular diseases was consistent with the change rule of total mortality.
Keywords:atmospheric pollutant  spatiotemporal change  air quality  human health  excess risk
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