Institute for Mathematical Sciences, Renmin University of China, Beijing, 100872, China.
Department of mathematics, Changji University, Xinjiang, 831100, China.
Sci Rep. 2020 May 21;10(1):8403. doi: 10.1038/s41598-020-65391-5.
Air quality issue such as particulate matter pollution (PM and PM) has become one of the biggest environmental problem in China. As one of the most important industrial base and economic core regions of China, Northeast China is facing serious air pollution problems in recent years, which has a profound impact on the health of local residents and atmospheric environment in some part of East Asia. Therefore, it is urgent to understand temporal-spatial characteristics of particles and analyze the causality factors. The results demonstrated that variation trend of particles was almost similar, the annual, monthly and daily distribution had their own characteristics. Particles decreased gradually from south to north, from west to east. Correlation analysis showed that wind speed was the most important factor affecting particles, and temperature, air pressure and relative humidity were key factors in some seasons. Path analysis showed that there was complex unidirectional causal relationship between particles and individual or combined effects, and NO and CO were key factors affecting PM. The hot and cold areas changed little with the seasons. All the above results suggests that planning the industrial layout, adjusting industrial structure, joint prevention and control were necessary measure to reduce particles concentration.
空气质量问题，如颗粒物污染（PM 和 PM），已成为中国最大的环境问题之一。作为中国最重要的工业基地和经济核心地区之一，近年来东北地区面临着严重的空气污染问题，这对当地居民的健康和东亚部分地区的大气环境产生了深远的影响。因此，迫切需要了解颗粒物的时空特征并分析因果因素。结果表明，颗粒物的变化趋势几乎相似，其年度、月度和日度分布都有其自身的特点。颗粒物从南到北、从西到东逐渐减少。相关分析表明，风速是影响颗粒物最重要的因素，而温度、气压和相对湿度在某些季节是关键因素。路径分析表明，颗粒物与个别或综合影响之间存在复杂的单向因果关系，NO 和 CO 是影响 PM 的关键因素。热点和冷点区域随季节变化很小。所有上述结果表明，规划工业布局、调整产业结构、联合防控是降低颗粒物浓度的必要措施。
