Temporal variability of visibility and its parameterizations in Ningbo, China
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 investig...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2019
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| Online Access: | https://eprints.nottingham.ac.uk/55937/ |
| _version_ | 1848799242264510464 |
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| author | Zhang, Jingjing Tong, Lei Peng, Chenghui Zhang, Huiling Huang, Zhongwen He, Jun Xiao, Hang |
| author_facet | Zhang, Jingjing Tong, Lei Peng, Chenghui Zhang, Huiling Huang, Zhongwen He, Jun Xiao, Hang |
| author_sort | Zhang, Jingjing |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T20:32:33Z |
| format | Article |
| id | nottingham-55937 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T20:32:33Z |
| publishDate | 2019 |
| publisher | Elsevier |
| recordtype | eprints |
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| spelling | nottingham-559372020-09-26T04:30:11Z https://eprints.nottingham.ac.uk/55937/ Temporal variability of visibility and its parameterizations in Ningbo, China Zhang, Jingjing Tong, Lei Peng, Chenghui Zhang, Huiling Huang, Zhongwen He, Jun Xiao, Hang 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. Elsevier 2019-03-31 Article PeerReviewed application/pdf en cc_by_nc_nd https://eprints.nottingham.ac.uk/55937/1/2018-Temporal%20variability%20of%20visibility%20in%20Ningbo.pdf Zhang, Jingjing, Tong, Lei, Peng, Chenghui, Zhang, Huiling, Huang, Zhongwen, 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 Visibility; Multiple correspondence analysis (MCA); Multiple non-linear regression http://dx.doi.org/10.1016/j.jes.2018.09.015 doi:10.1016/j.jes.2018.09.015 doi:10.1016/j.jes.2018.09.015 |
| spellingShingle | Visibility; Multiple correspondence analysis (MCA); Multiple non-linear regression Zhang, Jingjing Tong, Lei Peng, Chenghui Zhang, Huiling Huang, Zhongwen He, Jun Xiao, Hang Temporal variability of visibility and its parameterizations in Ningbo, China |
| title | Temporal variability of visibility and its parameterizations in Ningbo, China |
| title_full | Temporal variability of visibility and its parameterizations in Ningbo, China |
| title_fullStr | Temporal variability of visibility and its parameterizations in Ningbo, China |
| title_full_unstemmed | Temporal variability of visibility and its parameterizations in Ningbo, China |
| title_short | Temporal variability of visibility and its parameterizations in Ningbo, China |
| title_sort | temporal variability of visibility and its parameterizations in ningbo, china |
| topic | Visibility; Multiple correspondence analysis (MCA); Multiple non-linear regression |
| url | https://eprints.nottingham.ac.uk/55937/ https://eprints.nottingham.ac.uk/55937/ https://eprints.nottingham.ac.uk/55937/ |