论文标题
中国东部人口暴露于PM2.5的长期变化：SDG 11.6.2的观点
Long-term variation of population exposure to PM2.5 in Eastern China: A perspective from SDG 11.6.2
论文作者
论文摘要
空气污染（例如PM2.5）对人类健康有负面影响。最近，人口加权年度平均PM2.5集中度（PWAM）被选为可持续发展目标（SDG）的指标11.6.2，以使各个国家 /地区对城市中人口暴露的长期监控。但是，很少有研究使用该指标进行城市级别的分析，并在长期的系列中（例如，数十年）。为了填补这一研究空白，这项研究调查了中国东部人口暴露于PM2.5的长期（2000-2020）变化（包括318个县级城市）。涉及三类开放地理空间数据（包括高分辨率和长期PM2.5以及人口数据，以及城市的行政边界数据）进行分析。我们发现：1）在2014 - 2020年期间，PWAM观察到大幅下降。 2）在2020年，PWAM首次低于世界卫生组织定义的临时目标1（35μg/m3），该组织针对中国东部的214个县级城市定义，占总人口的67％。结果表明，中国东部的空气质量有了很大的改善。更重要的是，这项研究说明了使用开放的地理空间数据监视SDG指标11.6.2的可行性。
Air pollution (e.g., PM2.5) has a negative effect on human health. Recently, the population-weighted annual mean PM2.5 concentration (PWAM) has been selected as an indicator 11.6.2 in Sustainable Development Goals (SDGs), for various countries to perfrom a long-term monitoring of population exposure to PM2.5 in cities. However, few studies have employed this indicator for a city-level analysis and also in a long-time series (e.g., for decades). To fill this research gap, this study investigates the long-term (2000-2020) variation of population exposure to PM2.5 in Eastern China (including 318 prefecture-level cities). Three categories of open geospatial data (including high-resolution and long-term PM2.5 and population data, and administrative boundary data of cities) are involved for analysis. We found that: 1) A considerable decrease has been observed for the PWAM during 2014-2020. 2) In 2020, the PWAM is for the first time lower than the interim target-1 (35 μg/m3) defined by the World Health Organization for 214 prefecture-level cities in Eastern China, which accounts for 67% of the total population. The results indicates a considerable improvement of air quality in Eastern China. More important, this study illustrates the feasibility of using open geospatial data to monitor the SDG indicator 11.6.2.
