4.7 Article

Time-Series Analysis Reveals Intensified Urban Heat Island Effects but without Significant Urban Warming

期刊

REMOTE SENSING
卷 11, 期 19, 页码 -

出版社

MDPI
DOI: 10.3390/rs11192229

关键词

urban heat island; land surface temperature; trend analysis; urban warming; urban ecology; Beijing

资金

  1. National Natural Science Foundation of China [41771203, 41422104, 41601180]
  2. Key Research Program of Frontier Sciences, Chinese Academy of Sciences (CAS) [QYZDB-SSW-DQC034]

向作者/读者索取更多资源

Numerous studies have shown an increased surface urban heat island intensity (SUHII) in many cities with urban expansion. Few studies, however, have investigated whether such intensification is mainly caused by urban warming, the cooling of surrounding nonurban regions, or the different rates of warming/cooling between urban and nonurban areas. This study aims to fill that gap using Beijing, China, as a case study. We first examined the temporal trends of SUHII in Beijing and then compared the magnitude of the land surface temperature (LST) trend in urban and nonurban areas. We further detected the temporal trend of LST (Trend(LST)) at the pixel level and explored its linkage to the temporal trends of EVI (Trend(EVI)) and NDBI (Trend(NDBI)). We used MODIS data from 2000 to 2015. We found that (1) SUHII significantly increased from 4.35 degrees C to 6.02 degrees C, showing an intensified surface urban heat island (SUHI) effect, with an annual increase rate of 0.13 degrees C in summer during the daytime and 0.04 degrees C in summer at night. In addition, the intensification of SUHII was more prominent in new urban areas (NUA). (2) The intensified SUHII, however, was largely caused by substantial cooling effects in nonurban areas (NoUA), not substantial warming in urban areas. (3) Spatially, there were large spatial variations in significant warming and cooling spots over the entire study area, which were related to Trend(NDBI) and Trend(EVI). Trend(NDBI) significantly affected Trend(LST) in a positive way, while the Trend(EVI) had a significant positive effect (p = 0.023) on Trend(LST) only when EVI had an increasing trend. Our study underscores the importance of quantifying and comparing the changes in LST in both urban and nonurban areas when investigating changes in SUHII using time-series trend analysis. Such analysis can provide insights into promoting city-based urban heat mitigation strategies which focused on both urban and nonurban areas.

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