Spatiotemporal Variations in the Urban Heat Islands across the Coastal Cities in the Yangtze River Delta, China

References

• Bounoua, L., R. Defries, G. J. Collatz, P. Sellers, and H. Khan. 2002. Effects of land cover conversion on surface climate. Climatic Change 52 (1):29–64.
   Web of Science ®Google Scholar
• Chen, L., Z. Ma, R. Mahmood, T. Zhao, Z. Li, and Y. Li. 2017. Recent land cover changes and sensitivity of the model simulations to various land cover datasets for China. Meteorology and Atmospheric Physics 129 (4):395–408. doi:10.1007/s00703-016-0478-5.
   Web of Science ®Google Scholar
• Deng, C., and C. Wu. 2013. Examining the impacts of urban biophysical compositions on surface urban heat island: A spectral unmixing and thermal mixing approach. Remote Sensing of Environment 131:262–74.
   Web of Science ®Google Scholar
• Du, H., D. Wang, Y. Wang, X. Zhao, F. Qin, H. Jiang, and Y. Cai. 2016. Science of the Total Environment In fl uences of land cover types, meteorological conditions, anthropogenic heat and urban area on surface urban heat island in the Yangtze River Delta Urban Agglomeration. Science of the Total Environment 571:461–70.
   PubMed Web of Science ®Google Scholar
• Giorgi, F., and R. Francisco. 2000. Evaluating uncertainties in the prediction of regional climate change. Geophysical Research Letters 27 (9):1295–8.
   Web of Science ®Google Scholar
• Gong, P., H. Liu, M. Zhang, C. Li, J. Wang, H. Huang, N. Clinton, L. Ji, W. Li, Y. Bai, et al. 2019. Stable classification with limited sample: transferring a 30-m resolution sample set collected in 2015 to mapping 10-m resolution global land cover in 2017. Science Bulletin 64, 370–373.
   PubMed Web of Science ®Google Scholar
• Gong, P., X. Li, J. Wang, Y. Bai, B. Chen, T. Hu, X. Liu, B. Xu, J. Yang, W. Zhang, et al. 2020. Annual maps of global arti fi cial impervious area (GAIA) between 1985 and 2018. Remote Sensing of Environment 236:111510.
   Web of Science ®Google Scholar
• He, C., B. Gao, Q. Huang, Q. Ma, and Y. Dou. 2017. Environmental degradation in the urban areas of China: Evidence from multi-source remote sensing data. Remote Sensing of Environment 193 (2017):65–75.
   Web of Science ®Google Scholar
• Hirsch, R. M., R. B. Alexander, and R. A. Smith. 1991. Selection of methods for the detection and estimation of trends in water quality. Water Resources Research 27 (5):803–13. doi:10.1029/91WR00259.
   Web of Science ®Google Scholar
• Hua, L., X. Zhang, Q. Nie, F. Sun, and L. Tang. 2020. The impacts of the expansion of urban impervious surfaces on urban heat islands in a coastal city in China. Sustainability 12 (2):475.
   Web of Science ®Google Scholar
• Hua, W., and H. Chen. 2013. Impacts of regional-scale land use/land cover change on diurnal temperature range. Advances in Climate Change Research 4 (3):166–72.
   Google Scholar
• Imhoff, M. L., P. Zhang, R. E. Wolfe, and L. Bounoua. 2010. Remote sensing of the urban heat island effect across biomes in the continental USA. Remote Sensing of Environment 114 (3):504–13.
   Web of Science ®Google Scholar
• Li, J., Y. Xu, W. Cui, M. Ji, B. Su, Y. Wu, and J. Wang. 2020. Investigation of nighttime light pollution in Nanjing, China by mapping illuminance from field observations and Luojia 1-01 imagery. Sustainability 12 (2):681.
   Web of Science ®Google Scholar
• Liu, X., Y. Huang, X. Xu, X. Li, X. Li, P. Ciais, P. Lin, K. Gong, A. D. Ziegler, A. Chen, et al. 2020. High-spatiotemporal-resolution mapping of global urban change from 1985 to 2015. Nature Sustainability 3 (7):564–70. doi:10.1038/s41893-020-0521-x.
   Web of Science ®Google Scholar
• Liu, Y. h., X. Fang, Y. Xu, S. Zhang, and Q. Luan. 2017. Assessment of surface urban heat island across China’ s three main urban agglomerations. Theoretical and Applied Climatology 133 (1):473–488.
   Web of Science ®Google Scholar
• Lu, Y., P. Wu, X. Zhu, Y. Jiang, Z. Yin, and X. Ma. 2018. Comparison of surface urban heat island (SUHI) at landsat scale in Hefei, China: Diurnal, seasons and drivers. In 2018 Fifth International Workshop on Earth Observation and Remote Sensing Applications (EORSA), 1–4.
   Google Scholar
• Meng, Q., L. Zhang, Z. Sun, F. Meng, L. Wang, and Y. Sun. 2018. Characterizing spatial and temporal trends of surface urban heat island effect in an urban main built-up area: A 12-year case study in Beijing, China. Remote Sensing of Environment 204:826–37.
   Web of Science ®Google Scholar
• Niu, L., R. Tang, Y. Jiang, and X. Zhou. 2020. Spatiotemporal patterns and drivers of the surface urban heat island in 36 major cities in China: A comparison of two di ff erent methods for delineating rural areas. Sustainability 12 (2):478.
   Web of Science ®Google Scholar
• Peng, J., P. Xie, Y. Liu, and J. Ma. 2016. Urban thermal environment dynamics and associated landscape pattern factors: A case study in the Beijing metropolitan region. Remote Sensing of Environment 173:145–55.
   Web of Science ®Google Scholar
• Peng, S., Z. Feng, H. Liao, B. Huang, S. Peng, and T. Zhou. 2019. Spatial-temporal pattern of, and driving forces for, urban heat island in China Spatial-temporal pattern of, and driving forces for, urban heat island in China. Ecological Indicators 96 (January):127–32.
   Web of Science ®Google Scholar
• Schneider, A., M. A. Friedl, and D. Potere. 2010. Mapping global urban areas using MODIS 500-m data: New methods and datasets based on “urban ecoregions. Remote Sensing of Environment 114 (8):1733–46.
   Web of Science ®Google Scholar
• Schwarz, N., S. Lautenbach, and R. Seppelt. 2011. Exploring indicators for quantifying surface urban heat islands of European cities with MODIS land surface temperatures. Remote Sensing of Environment 115 (12):3175–86.
   Web of Science ®Google Scholar
• Sen, P. K. 1968. Estimates of the regression coefficient based on Kendall’s tau. Journal of the American Statistical Association 63 (324):1379–89.
   Web of Science ®Google Scholar
• Shi, K., C. Huang, B. Yu, B. Yin, and Y. Huang. 2014. Evaluation of NPP-VIIRS night-time light composite data for extracting built-up urban areas. Remote Sensing Letters 5 (4):358–366.
   Google Scholar
• Su, Z., P. De Rosnay, J. Wen, L. Wang, and Y. Zeng. 2013. Evaluation of ECMWF’s soil moisture analyses using observations on the Tibetan Plateau. Journal of Geophysical Research: Atmospheres 118 (11):5304–18.
   Web of Science ®Google Scholar
• Sviličić, P., V. Vučetić, S. Filić, and A. Smolić. 2016. Soil temperature regime and vulnerability due to extreme soil temperatures in Croatia. Theoretical and Applied Climatology 126 (1–2):247–63.
   Web of Science ®Google Scholar
• Tan, J., Y. Zheng, and G. Song. 2007. Heat wave impacts on mortality in Shanghai, 1998 and 2003. International Journal of Biometeorology 51 (3):193–200.
   PubMed Web of Science ®Google Scholar
• Villalobos-Jiménez, G., and C. Hassall. 2017. Effects of the urban heat island on the phenology of Odonata in London, UK. International Journal of Biometeorology 61 (7):1337–46.
   PubMed Web of Science ®Google Scholar
• Wan, Z. 2014. New refinements and validation of the collection-6 MODIS land-surface temperature/emissivity product. Remote Sensing of Environment 140:36–45.
   Web of Science ®Google Scholar
• Wang, Y., Z. Liu, L. Huang, G. Lu, Y. Gong, E. Yaluk, H. Li, X. Yi, L. Yang, J. Feng, et al. 2020. Development and evaluation of a scheme system of joint prevention and control of PM 2. 5 pollution in the Yangtze River Delta region, China. Journal of Cleaner Production 275:122756.
   Web of Science ®Google Scholar
• Xu, H-q, and B-q. Chen. 2004. Remote sensing of the urban heat island and its changes in Xiamen City of SE China. Journal of Environmental Sciences (China) 16 (2):276–81. 15137654
   PubMed Web of Science ®Google Scholar
• Xu, Y. 2018. Monitoring the near-surface urban heat island in Beijing, China by satellite monitoring the near-surface urban heat island in Beijing, China by satellite remote sensing. December 2014.
   Google Scholar
• Yang, Y., and P. Pan. 2011. Research on the impact of impervious surface area on urban heat island in Jiangsu Province. In International Symposium on Lidar and Radar Mapping 2011: Technologies and Applications. Vol. 8286, 82861.
   Google Scholar
• Yao, R., L. Wang, X. Huang, W. Zhang, J. Li, and Z. Niu. 2018. Interannual variations in surface urban heat island intensity and associated drivers in China. Journal of Environmental Management 222 (April):86–94.
   PubMed Web of Science ®Google Scholar
• Yao, X., Z. Wang, and H. Wang. 2015. Impact of urbanization and land-use change on surface climate in middle and lower reaches of the Yangtze River, 1988–2008. Advances in Meteorology 2015:1–10.
   Web of Science ®Google Scholar
• Ye, C., Y. Liu, W. Liu, C. Liu, and W. Quan. 2011. Research on urban surface heat environment monitoring indexes and its application. Meteorological Science and Technology 39(1):95–101 (in Chinese).
   Google Scholar
• Yuan, F., and M. E. Bauer. 2007. Comparison of impervious surface area and normalized difference vegetation index as indicators of surface urban heat island effects in Landsat imagery. Remote Sensing of Environment 106 (3):375–86.
   Web of Science ®Google Scholar
• Zhang, L., Q. Meng, Z. Sun, and Y. Sun. 2017. Spatial and temporal analysis of the mitigating effects of industrial relocation on the surface urban heat island over China. ISPRS International Journal of Geo-Information 6 (4):121.
   Web of Science ®Google Scholar
• Zhou, L., R. E. Dickinson, Y. Tian, J. Fang, Q. Li, R. K. Kaufmann, C. J. Tucker, and R. B. Myneni. 2004. Evidence for a significant urbanization effect on climate in China. Proceedings of the National Academy of Sciences of the United States of America 101 (26):9540–4. doi:10.1073/pnas.0400357101
   PubMed Web of Science ®Google Scholar