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Urban Ecosystem

The urban heat island (UHI) phenomenon is formed when higher atmospheric and surface temperatures in urbanized areas are observed over the surrounding rural areas (Voogt and Oke, 2003). UHI is mainly caused by the combination of anthropogenic heat discharge due to energy consumption, increased impervious surface area, and decreased vegetation and water area (Kato and Yamaguchi, 2005). Quantification of each heat flux in the energy balance, especially the human induced anthropogenic heat discharge and its spatial pattern, is important to improve the understanding of human impacts on the urban environment, a key issue in global environmental change. On the other hand, UHI has a number of effects on the community's environment and quality of life, i.e. increased energy consumption and compromised comfort. In this research area, we are studying the UHI formation and its impacts on environment and human life.

Relevant Publications

  1. Zhang, T., Y. Zhou*, L. Wang, K. Zhao & Z. Zhu (2022) Estimating 1 km gridded daily air temperature using a spatially varying coefficient model with sign preservation. Remote Sensing of Environment, 277, 113072.
  2. Chen, W., Y. Zhou*, Y. Xie, G. Chen, K. J. Ding & D. Li (2022) Estimating spatial and temporal patterns of urban building anthropogenic heat using a bottom-up city building heat emission model. Resources, Conservation and Recycling, 177, 105996.
  3. Zhang, T., Y. Zhou*, Z. Zhu, X. Li & G. R. Asrar (2022). A global seamless 1 km resolution daily land surface temperature dataset (2003-2020). Earth Syst. Sci. Data. 14, 651-664.
  4. Hu, J., Y. Yang, Y. Zhou*, T. Zhang, Z. Ma & X. Meng (2022) Spatial patterns and temporal variations of footprint and intensity of surface urban heat island in 141 China cities. Sustainable Cities and Society, 77, 103585.
  5. Li, H., Y. Zhou*, G. Jia, K. Zhao & J. Dong (2022) Quantifying the response of surface urban heat island to urbanization using the annual temperature cycle model. Geoscience Frontiers, 101141.
  6. Ji, P., X. Yuan, X.-Z. Liang, Y. Jiao, Y. Zhou & Z. Liu (2021) High-Resolution Land Surface Modeling of the Effect of Long-Term Urbanization on Hydrothermal Changes Over Beijing Metropolitan Area. Journal of Geophysical Research: Atmospheres, 126, e2021JD034787.
  7. Liu, X., W. Yue*, Y. Zhou*, Y. Liu, C. Xiong & Q. Li (2021) Estimating multi-temporal anthropogenic heat flux based on the top-down method and temporal downscaling methods in Beijing, China. Resources, Conservation and Recycling, 172, 105682.
  8. Zhao, J., L. Yu, Y. Xu, X. Li, Y. Zhou, D. Peng, H. Liu, X. Huang, Z. Zhou, D. Wang, C. Ren and P. Gong (2020). Exploring difference in land surface temperature between the city centres and urban expansion areas of China’s major cities. International Journal of Remote Sensing 41(23): 8963-8983.
  9. Liu, X., Y. Zhou*, W. Yue, X. Li, Y. Liu & D. Lu, 2020. Spatiotemporal patterns of summer urban heat island in Beijing, China using an improved land surface temperature. Journal of Cleaner Production, 120529.
  10. Shi, Z., G. Jia, Y. Hu & Y. Zhou, 2019. The contribution of intensified urbanization effects on surface warming trends in China. Theoretical and Applied Climatology. 138(1-2), 1125-1137.
  11. Li, X., Y. Zhou*, S. Yu, G. Jia, H. Li & W. Li, 2019. Urban heat island impacts on building energy consumption: a review of approaches and findings. Energy. 174: 407-419.
  12. Zhao, H., Y. Zhou, X. Li, C. Liu, and X. Chen, 2019. The influence of wind speed on infrared temperature in impervious surface areas based on in situ measurement data. GIScience & Remote Sensing, 2019, 1-21.
  13. Yue, W., X. Liu, Y. Zhou*, & Y. Liu, 2019. Impacts of urban configuration on urban heat island: An empirical study in China mega-cities. Science of The Total Environment, 671, 1036-1046.
  14. Shi, Z., G. Jia, Y. Hu & Y. Zhou, 2019. The contribution of intensified urbanization effects on surface warming trends in China. Theoretical and Applied Climatology, 138, 1125-1137.
  15. Zhou, D., Xiao, J., Bonafoni, S., Berger, C., Deilami, K., Zhou, Y., Frolking, S., Yao, R., Qiao, Z., Sobrino, J., 2019. Satellite Remote Sensing of Surface Urban Heat Islands: Progress, Challenges, and Perspectives. Remote Sensing 11, 48.
  16. Li, H., Y. Zhou, X. Wang, X. Zhou, H. Zhang and S. Sodoudi, 2019. Quantifying urban heat island intensity and its physical mechanism using WRF/UCM. Science of The Total Environment 650: 3110-3119.
  17. Li, X., Y. Zhou*, G.R. Asrar, and Z. Zhu, 2018. Developing a 1km resolution daily air temperature dataset for urban and surrounding areas in the conterminous United States. Remote Sensing of Environment, 2018. 215, 74-84
  18. Zhao, G., Dong, J., Cui, Y., Liu, J., Zhai, J., He, T., Zhou, Y., & Xiao, X., 2018. Evapotranspiration-dominated biogeophysical warming effect of urbanization in the Beijing-Tianjin-Hebei region, China. Climate Dynamics.
  19. Li, X., Y. Zhou*, G.R. Asrar, and Z. Zhu, 2018. Creating a seamless 1km resolution daily land surface temperature dataset for urban and surrounding areas in the conterminous United States. Remote Sensing of Environment, 2018. 206: p. 84-97.
  20. Li, H., Y. Zhou, X. Li, L. Meng, X. Wang, S. Wu, S. Sodoudi, 2017. A new method to quantify surface urban heat island intensity. Science of The Total Environment. doi:10.1016/j.scitotenv.2017.11.360
  21. Li, X., Y. Zhou*, G. R. Asrar, M. Imhoff & X. Li, 2017. The surface urban heat island response to urban expansion: A panel analysis for the conterminous United States. Science of The Total Environment, 605–606, 426-435.
  22. Tang, J., L. Di, J. Xiao, D. Lu and Y. Zhou, 2017. Impacts of land use and socioeconomic patterns on urban heat Island. International Journal of Remote Sensing 38(11): 3445-3465.
  23. Zhou, Y., Q. Weng, K. R. Gurney, Y. Shuai, and X. Hu, 2012. Estimation of the relationship between remotely sensed anthropogenic heat discharge and building energy use. ISPRS J. Photogram. Remote Sensing, 67, 65-72
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