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Thermal Environment of Typical Industrial Parks over Jinjiang-Shishi, in southeast Fujian Province, China

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Published:03 May 2024Publication History

ABSTRACT

Along with rapid urbanization, there always has been an increasing number of industrial parks within or around urban areas to promote economic development. Construction of the industrial parks also changes the original land cover and land use, which may cause urban thermal environmental problems to some extent. At present, in terms of urban thermal environment, most studies have been conducted at city scale, while there have been a few studies discussing the issues on industrial parks. In this study, two neighboring county-level cities (i.e. Jinjiang and Shishi, named Jinjiang-Shishi) in Quanzhou city, being located in southeast Fujian Province, China, were taken as the study area. Considering the spatial resolution of Landsat-8 satellite remote sensing images and the area size of industrial parks, four types with 70 industrial parks were collected correspondingly, including manufacturing (MF), manufacturing, wholesale and retail (MWRT), manufacturing, leasing and business services (MLBS), and transportation, storage and postal industry (TSPI). The Collection 2 Level-2 products of Landsat-8 were used, from which land surface temperature (LST) and the reflectance-based indices (or components) were derived. Preliminary findings showed that the surface temperature of industrial parks was relatively higher, both in summer and winter cases. Generally, the TSPI was provided with the highest LST, whereas the MF and MWRT shared similar pattern but being lower in LST. Meanwhile, for winter cases the MLBS was the lowest in LST. Investigating the thermal environment of industrial parks is an important initiative, to find out the influencing factors and propose useful mitigation measures.

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  1. Thermal Environment of Typical Industrial Parks over Jinjiang-Shishi, in southeast Fujian Province, China

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      IoTAAI '23: Proceedings of the 2023 5th International Conference on Internet of Things, Automation and Artificial Intelligence
      November 2023
      902 pages
      ISBN:9798400716485
      DOI:10.1145/3653081

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      Publication History

      • Published: 3 May 2024

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