RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN >> 2021, Vol. 30 >> Issue (9): 2178-2185.doi: 10.11870/cjlyzyyhj202109012

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Evolution Characteristics and Influencing Factors of Fog and Haze in the Middle Reaches of the Yangtze River in the Past 58 Years

CHEN Ying-ying 1,XIONG Jie 2,JIA Wen-qian 1,WANG Ming 1,TAN Jing 1   

  1. (1. Hubei Provincial Meteorological Server Centre, Wuhan 430205, China;2. Institute of Heavy Rain, China Meteorological Administration, Wuhan 430205, China)
  • Online:2021-09-20 Published:2021-09-27

Abstract: Based on the meteorological observation data of 72 Hubei national stations and NCEP reanalysis data from 1961 to 2018, representative station classification, time series evolution and correlation analysis are applied to study the temporal and spatial distribution characteristics of fog and haze and related influencing factors. Results show that:(1)The spatial distribution of fog and haze in Hubei is uneven. The haze mostly occurs in large cities and industrial cities while the fog mostly occurs in the mountainous area of southwestern Hubei. The interdecadal trend of fog and haze is relatively consistent before 1980 while it is in the opposite phase after 1980 and showing a negative correlation as a whole. After 2005, haze days significantly increase compared to fog days.(2) Annual trend of fog days increases first, then decreases, and then increases at both urban stations and ecological stations. The turning points from increase to decrease appear in 1980 and 1987 respectively, indicating that the process of urbanization has an impact on the formation of fog. Daily trend of haze days is basically the same, and interannual variations of air pollution show no obvious urban-rural differences.(3) For all stations, quantitative effects of “regional-scale climate change, urbanization and air pollution(aerosol pollution)” on fog are nearly equal, while the impact of urbanization is obviously dominant(55%) for urban stations and aerosol pollution has the highest contribution rate(43%)for ecological stations.

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