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Chinese Journal of Applied Ecology ›› 2017, Vol. 28 ›› Issue (2): 485-492.doi: 10.13287/j.1001-9332.201702.029

• Special Features for 2016 Annual Meeting of Ecological Society of China • Previous Articles     Next Articles

Characteristics of atmospheric visibility change and its influence factors in Hefei City, Anhui, China.

SHI Min-min1, ZHANG Qing-guo2*, ZHANG Hao3, WANG Feng-wen1   

  1. 1School of Resources and Environment, Anhui Agricultural University, Hefei 230036, China;
    2School of Science, Anhui Agricultural University, Hefei 230036, China;
    3Anhui Research Institute of Meteorological Science/Anhui Province Key Laboratory of Atmospheric Science and Satellite Remote Sensing, Hefei 230031, China.
  • Received:2016-07-06 Online:2017-02-18 Published:2017-02-18
  • Contact: * E-mail: qgzhang@ahau.edu.cn
  • Supported by:
    This work was supported by the Anhui Provincial Environmental Protection Projects (2015-002).

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Abstract: Using the observation data of Hefei atmospheric visibility and meteorological elements and PM2.5 and PM10 concentrations at same period from October 2013 to June 2015, based on comprehensive analysis of the impact factors on atmospheric visibility, the relationships among the relative humidity (RH), PM2.5 and PM10 concentrations and visibility were explored. The results showed that the correlation between RH and Hefei atmospheric visibility was most significant during the period of study. When RH<60%, the coefficients of correlation between PM2.5, PM10 concentrations and atmospheric visibility increased gradually with the increasing RH. When RH>60%, the coefficients of correlation between the particles concentration in atmosphere and atmospheric visibility showed a decreasing trend. When 50%≤RH<60%, the coefficients of correlation between PM2.5, PM10 concentrations and atmosphere visibility were higher. When RH was relatively higher, the atmospheric visibility was mainly affected by the relative humidity, on the contrary, the concentration of particles had a greater influence on the visibility. When RH>70%, the change amplitude of contour line of atmospheric visibility was larger, and the impacts of RH on atmospheric visibility were intensified. According to the formula fitted by the data of RH, PM2.5, PM10 concentrations and atmospheric visibility, the nonlinear fitting model was better than multivariate linear fitting model in simulating the change of atmospheric visibility.

Key words: atmospheric visibility, PM25 and PM10, PROVSV curve analysis, relative humidity (RH)