Study of Urban Heat Island Effect in Hangzhou Metropolitan Area Based on SW-TES Algorithm and Image Dichotomous Model

• Published in: SAGE open Vol. 13; no. 4
• Main Authors: Shang, Kailin, Xu, Linfeng, Liu, Xuan, Yin, Zhengtong, Liu, Zhixin, Li, Xiaolu, Yin, Lirong, Zheng, Wenfeng
• Format: Journal Article
• Language: English
• Published: Los Angeles, CA SAGE Publications 01-10-2023; SAGE PUBLICATIONS, INC; SAGE Publishing
• Subjects: Algorithms; Trends; Urban development; Urban heat islands; vegetation index; like element dichotomous model; heat island effect; SW-TES algorithm; machine learning; surface temperature
• ISSN: 2158-2440; 2158-2440
• DOI: 10.1177/21582440231208851

In recent years, with economic development, urbanization has been accelerating. In the past 100 years, the global average temperature has increased by 0.5°C, and according to the predictions of most global climate models, the temperature will continue to increase by 1.5°C to 3.0°C in the next 100 years. Under the influence of global warming, the urban heat island effect problem is becoming more and more serious, bringing much harm. Studying the thermal effect and its influencing factors is of great significance for sustainable urban development. In this study, the seasonal and interannual surface temperature changes of the study area are inverted based on the SW-TES algorithm, and the LST inversion of the algorithm is simply verified. At the same time, a cell dichotomous model was established to explore the influencing factors of the urban heat island effect and the influence of different land use types and normalized vegetation indices in the Hangzhou metropolitan area was analyzed. The results showed that the overall heating trend of the study area showed a heating trend, the expansion rate of regional construction land was relatively fast, and the scale of urban land was increasing. Based on the results of surface temperature changes of areas with different land types, we obtained the temperature trends of each land type [from 2005 to 2018] and found that there was a negative correlation between surface temperature and normalized vegetation index. This study provides a theoretical basis to evaluate the urban heat island effect and analyze factors that impact it and would promote sustainable urban development.