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Association between energy use and poor visibility in Hong Kong SAR, China

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  • To, W.M.

Abstract

A city's reliance on energy increases when it is developed. Moreover, the combustion of fossil fuels inevitably generates air pollutants including carbon dioxide, nitrogen oxides, sulfur dioxide, particulate matter, and others. Combining with other anthropogenic air pollutants, visibility in many Asian cities including Hong Kong have deteriorated rapidly in the past decades. This paper explores the relationships between energy use, meteorological factors, and change in visibility in Hong Kong using long-term time-series data. The total use of primary energy increased from 146,700 TJ in 1971 to 1,270,865 TJ in 2011 while the number of hours of reduced visibility increased from 184 h to 1398 h during the same period of time. Bivariate correlations show that poor visibility was significantly associated with energy use and annual mean air temperature. Multiple regression analysis indicates that the burning of aviation gasoline significantly, adversely affect visibility. Results illustrate that the number of clear days in Hong Kong will decrease, in particular due to the increase in air traffic.

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  • To, W.M., 2014. "Association between energy use and poor visibility in Hong Kong SAR, China," Energy, Elsevier, vol. 68(C), pages 12-20.
    • Handle: RePEc:eee:energy:v:68:y:2014:i:c:p:12-20
    DOI: 10.1016/j.energy.2014.02.062
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    1. Lam, K.H. & Lai, T.M. & Lo, W.C. & To, W.M., 2012. "The application of dynamic modelling techniques to the grid-connected PV (photovoltaic) systems," Energy, Elsevier, vol. 46(1), pages 264-274.
    2. Lund, Henrik, 2007. "Renewable energy strategies for sustainable development," Energy, Elsevier, vol. 32(6), pages 912-919.
    3. Lam, Joseph C. & Tang, H.L. & Li, Danny H.W., 2008. "Seasonal variations in residential and commercial sector electricity consumption in Hong Kong," Energy, Elsevier, vol. 33(3), pages 513-523.
    4. Edwin J. Elton & Martin J. Gruber & Jonathan Spitzer, 2006. "Improved Estimates of Correlation Coefficients and their Impact on Optimum Portfolios," European Financial Management, European Financial Management Association, vol. 12(3), pages 303-318, June.
    5. Li, Danny H.W. & Yang, Liu & Lam, Joseph C., 2013. "Zero energy buildings and sustainable development implications – A review," Energy, Elsevier, vol. 54(C), pages 1-10.
    6. Luzzati, T. & Orsini, M., 2009. "Investigating the energy-environmental Kuznets curve," Energy, Elsevier, vol. 34(3), pages 291-300.
    7. Kesgin, Ugur, 2006. "Aircraft emissions at Turkish airports," Energy, Elsevier, vol. 31(2), pages 372-384.
    8. Liu, Wen & Lund, Henrik & Mathiesen, Brian Vad, 2011. "Large-scale integration of wind power into the existing Chinese energy system," Energy, Elsevier, vol. 36(8), pages 4753-4760.
    9. Yee Yan, Yuk, 1998. "Climate and residential electricity consumption in Hong Kong," Energy, Elsevier, vol. 23(1), pages 17-20.
    10. Li, Danny H.W. & Chau, Natalie T.C. & Wan, Kevin K.W., 2013. "Predicting daylight illuminance and solar irradiance on vertical surfaces based on classified standard skies," Energy, Elsevier, vol. 53(C), pages 252-258.
    11. To, W.M. & Lai, T.M. & Chung, W.L., 2011. "Fuel life cycle emissions for electricity consumption in the world’s gaming center–Macao SAR, China," Energy, Elsevier, vol. 36(8), pages 5162-5168.
    12. Dinda, Soumyananda, 2004. "Environmental Kuznets Curve Hypothesis: A Survey," Ecological Economics, Elsevier, vol. 49(4), pages 431-455, August.
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    Cited by:

    1. Wai-Ming To & Peter K. C. Lee, 2017. "Energy Consumption and Economic Development in Hong Kong, China," Energies, MDPI, vol. 10(11), pages 1-13, November.
    2. Wai-Ming To & Peter K. C. Lee, 2017. "A Triple Bottom Line Analysis of Hong Kong’s Logistics Sector," Sustainability, MDPI, vol. 9(3), pages 1-10, March.
    3. Siwei Lou & Wenqiang Chen & Danny H.W. Li & Mo Wang & Hainan Chen & Isaac Y.F. Lun & Dawei Xia, 2019. "Tilted Photovoltaic Energy Outputs in Outdoor Environments," Sustainability, MDPI, vol. 11(21), pages 1-17, October.
    4. Wai-Ming To & Peter K. C. Lee & Antonio K. W. Lau, 2021. "Economic and Environmental Changes in Shenzhen—A Technology Hub in Southern China," Sustainability, MDPI, vol. 13(10), pages 1-17, May.
    5. Wai-Ming To & Peter K. C. Lee & Chi To Ng, 2017. "Factors Contributing to Haze Pollution: Evidence from Macao, China," Energies, MDPI, vol. 10(9), pages 1-12, September.

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