Analysis on Spatial-temporal Characteristics and Driving Factors of PM 2.5 in Henan Province from 2015 to 2019

• Published in: Huanjing kexue Vol. 43; no. 4; p. 1697
• Main Authors: Ge, Qi-Xu, Liu, Yan, Yang, Hong, Guo, Heng-Liang
• Format: Journal Article
• Language: Chinese
• Published: China 08.04.2022
• Subjects: Air Pollutants - analysis; Air Pollution - analysis; China; Environmental Monitoring - methods; Meteorological Concepts; Particulate Matter - analysis; China; space center of gravity transfer; fine particulate matter (PM2.5); geodetector; driving factors; space hot spot detection; spatial-temporal characteristics
• ISSN: 0250-3301

PM is the main component of haze, and Henan Province has become one of the key areas of PM pollution control. Based on the PM concentration data of Henan Province from 2015 to 2019, spatial autocorrelation, spatial hot spot detection, and other methods were used to analyze its temporal and spatial characteristics, and the geodetector method was introduced to analyze the interpretation strength of meteorological factors, air quality factors, and social factors on PM concentration. The results showed that:from 2015 to 2019, the concentration of PM in Henan Province showed an overall downward trend, the days of high pollution decreased, the days of low pollution increased, and the high pollution gradually transformed into medium pollution. The concentration of PM had obvious characteristics of spatial aggregation. The five-year global spatial autocorrelation index first dropped and then rose, and the spatial hot spots were concentrated in northern Henan (Anyang, Hebi, Xinxiang, and Jiaozuo); the spatial cold spo