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Remotely sensed thermal pollution and its relationship with energy consumption and industry in a rapidly urbanizing Chinese city

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  • Zhao, Xiaofeng
  • Jiang, Hui
  • Wang, Huina
  • Zhao, Juanjuan
  • Qiu, Quanyi
  • Tapper, Nigel
  • Hua, Lizhong

Abstract

Taking the city of Xiamen, China, as an example, we used thermal infrared remote sensing to detect thermal pollution, and examined its relationship to energy consumption and the industrial economy. Monthly changes in 2002 and dynamics throughout the period of rapid urbanization (1987–2007) are analysed. It is found that seasonal variation led to distinct shapes and sizes of thermal pollution areas, and winter thermal pollution was highly indicative of industrial and energy transformation sources. Industrial enterprises were the dominant sources of winter thermal pollution in Xiamen. The number and ratio of industrial thermal pollution sources increased stably in the earlier years, and dramatically in the later period (2002–2007), attributable to the effects of China entering the World Trade Organization. Linear regression shows that the number of thermal pollution sources was strongly correlated with several factors of the industrial economy and energy consumption, including industrial outputs, industrial enterprise numbers, LPG and electricity. Related mitigation measures are also discussed. This research builds a link between remote sensing-detected thermal pollution information and statistical energy consumption data, as well as industrial economy statistics. It thereby enhances understanding of the relationship between urbanization, industrialization, energy consumption and related environmental effects.

Suggested Citation

  • Zhao, Xiaofeng & Jiang, Hui & Wang, Huina & Zhao, Juanjuan & Qiu, Quanyi & Tapper, Nigel & Hua, Lizhong, 2013. "Remotely sensed thermal pollution and its relationship with energy consumption and industry in a rapidly urbanizing Chinese city," Energy Policy, Elsevier, vol. 57(C), pages 398-406.
    • Handle: RePEc:eee:enepol:v:57:y:2013:i:c:p:398-406
    DOI: 10.1016/j.enpol.2013.02.007
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    References listed on IDEAS

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    1. Kikegawa, Yukihiro & Genchi, Yutaka & Kondo, Hiroaki & Hanaki, Keisuke, 2006. "Impacts of city-block-scale countermeasures against urban heat-island phenomena upon a building's energy-consumption for air-conditioning," Applied Energy, Elsevier, vol. 83(6), pages 649-668, June.
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    Cited by:

    1. Qian Chen & Tingting Ye & Naizhuo Zhao & Mingjun Ding & Zutao Ouyang & Peng Jia & Wenze Yue & Xuchao Yang, 2021. "Mapping China’s regional economic activity by integrating points-of-interest and remote sensing data with random forest," Environment and Planning B, , vol. 48(7), pages 1876-1894, September.
    2. Zhao, Y.J. & Zeng, L. & Zhang, A.L. & Wu, Y.H., 2015. "Response of current, temperature, and algae growth to thermal discharge in tidal environment," Ecological Modelling, Elsevier, vol. 318(C), pages 283-292.
    3. Escalante, Edwin Santiago Rios & Balestieri, José Antônio Perrella & de Carvalho, João Andrade, 2022. "The organic Rankine cycle: A promising technology for electricity generation and thermal pollution mitigation," Energy, Elsevier, vol. 247(C).
    4. Congxin Li & Guozhu Li, 2020. "Does environmental regulation reduce China’s haze pollution? An empirical analysis based on panel quantile regression," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-14, October.
    5. Liu Tian & Yongcai Li & Jun Lu & Jue Wang, 2021. "Review on Urban Heat Island in China: Methods, Its Impact on Buildings Energy Demand and Mitigation Strategies," Sustainability, MDPI, vol. 13(2), pages 1-31, January.
    6. Zhao, Liang & Zhang, Jiulei & Wang, Xiu & Feng, Junsheng & Dong, Hui & Kong, Xiangwei, 2020. "Dynamic exergy analysis of a novel LNG cold energy utilization system combined with cold, heat and power," Energy, Elsevier, vol. 212(C).

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