Temporal variability of visibility and its parameterizations in Ningbo, China

Zhang, Jingjing and Tong, Lei and Peng, Chenghui and Zhang, Huiling and Huang, Zhongwen and He, Jun and Xiao, Hang (2019) Temporal variability of visibility and its parameterizations in Ningbo, China. Journal of Environmental Sciences, 77 . pp. 372-382. ISSN 1001-0742

[img] PDF - Repository staff only until 26 September 2020. - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Available under Licence Creative Commons Attribution Non-commercial No Derivatives.
Download (2MB)

Abstract

Simultaneous and continuous measurements of visibility, meteorological parameters and air pollutants were carried out at a suburban site in Ningbo from June 1, 2013 to May 31, 2015. The characteristics of visibility and their relationships with air pollutants and meteorological factors were investigated using multiple statistical methods. Daily visibility ranged from 0.6 to 34.1 km, with a mean value of 11.8 km. During the 2-year experiment, 43.4% of daily visibility was found to be less than 10.0 km and only 9.2% was greater than 20.0 km. Visibility was lower in winter with a frequency of 53.4% in the range of 0.0–5.0 km. Annual visibility had an obvious diurnal variation, with the lowest and highest visibility being 7.5 km at approximately 06:00 local time and 15.6 km at approximately 14:00 local time, respectively. Multiple correspondence analysis (MCA) indicated that the different ranges of visibility were significantly affected by different levels of pollutants and meteorological conditions. Based on the analyses, visibility was found to be an exponential function of PM2.5 concentrations within a certain range of relative humidity. Thus, non-linear models combining multiple linear regressions with exponential regression were subsequently developed using the data collected from June 2014 to May 2015, and the data from June 2013 to May 2014 was used to evaluate the performance of the model. It was demonstrated that the derived models can quantitatively describe the relationships between visibility, air quality and meteorological parameters in Ningbo.

Item Type: Article
Keywords: Visibility; Multiple correspondence analysis (MCA); Multiple non-linear regression
Schools/Departments: University of Nottingham Ningbo China > Faculty of Science and Engineering > Department of Chemical and Environmental Engineering
Identification Number: https://doi.org/10.1016/j.jes.2018.09.015
Related URLs:
URLURL Type
https://www.sciencedirect.com/science/article/pii/S100107421830812XPublisher
Depositing User: Yu, Tiffany
Date Deposited: 21 Jan 2019 10:48
Last Modified: 21 Jan 2019 10:48
URI: http://eprints.nottingham.ac.uk/id/eprint/55937

Actions (Archive Staff Only)

Edit View Edit View