Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, Henan University, Kaifeng, Henan, 475004, China.
Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, Henan University, Kaifeng, Henan, 475004, China; Institute of Urban Big Data, College of Environment and Planning, Henan University, Kaifeng, Henan, 475004, China; Henan Key Laboratory of Integrated Air Pollution Control and Ecological Security, Henan University, Kaifeng, Henan, 475004, China.
Environ Pollut. 2019 Mar;246:11-18. doi: 10.1016/j.envpol.2018.11.103. Epub 2018 Dec 1.
As the second largest economy in the world, China experiences severe particulate matter (PM) pollution in many of its cities. Meteorological factors are critical in determining both areal and temporal variations in PM pollution levels; understanding these factors and their interactions is critical for accurate forecasting, comprehensive analysis, and effective reduction of this pollution. This study analyzed areal and temporal variations in concentrations of PM, PM, and PM (PM - PM) and PM to PM ratios (PM/PM) and their relationships with meteorological conditions in 366 Chinese cities from January 1, 2015 to December 31, 2017. On the national scale, PM and PM decreased from 48 to 42 μg m³ and from 88 to 84 μg m³, respectively, and the annual mean concentrations were 45 μg m³ (PM) and 84 μg m³ (PM) during the time period (2015-2017). In most regions, largest PM concentrations occurred in winter. However, in northern China, in spring PM concentrations were highest due to dust. The PM/PM ratio was higher in southern than in northern China. There were large regional disparities in PM diurnal variations. Generally, PM concentrations were negatively correlated with precipitation, relative humidity, air temperature, and wind speed, but were positively correlated with surface pressure. The sunshine duration showed negative and positive impacts on PM in northern and southern cities, respectively. Meteorological factors impacted particulates of different size differently in different regions and over different periods of time.
作为世界第二大经济体,中国许多城市都经历着严重的颗粒物(PM)污染。气象因素对于 PM 污染水平的区域性和时间性变化至关重要;理解这些因素及其相互作用对于准确预测、全面分析和有效减少这种污染至关重要。本研究分析了 2015 年 1 月 1 日至 2017 年 12 月 31 日期间,中国 366 个城市的 PM、PM、PM(PM-PM)和 PM 与 PM 的浓度比值(PM/PM)的区域性和时间性变化及其与气象条件的关系。在全国范围内,PM 和 PM 分别从 48μg/m³降至 42μg/m³和从 88μg/m³降至 84μg/m³,而在此期间的年均浓度分别为 45μg/m³(PM)和 84μg/m³(PM)。在大多数地区,冬季的 PM 浓度最大。然而,在中国北方,由于扬尘,春季的 PM 浓度最高。PM/PM 比值在中国南方高于北方。PM 的日变化存在较大的区域差异。通常,PM 浓度与降水量、相对湿度、空气温度和风速呈负相关,而与地面气压呈正相关。日照时间对北方和南方城市的 PM 分别产生了负向和正向影响。在不同地区和不同时期,气象因素对不同大小的颗粒物的影响不同。