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arXiv 2401.03005physics.soc-phcs.CV
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城市区域与地表温度的演变

Evolution of urban areas and land surface temperature

Indian Institute of Technology Delhi(印度理工学院德里分校);Getulio Vargas Foundation(杰图利奥·瓦加斯基金会)

Sudipan Saha, Tushar Verma, Dario Augusto Borges Oliveira

AI总结:

针对城市扩张导致地表温度(LST)升高的问题,研究构建LST多年时间序列进行聚类分析,发现其时空模式与建成区相似、高时变区多在周边且质心随开发方向偏移,并在三大洲三城市验证。

摘要:

随着全球人口不断增长,我们的城市一直在扩张以容纳日益增多的人口。城市的扩张通常会导致周边地区被吞没。然而,城市区域的这种扩张很可能会导致地表温度(LST)升高的区域增加。通过将每个夏季视为一个数据点,我们构建了 LST 多年时间序列并对其进行聚类,以获取时空模式。我们从这些模式中观察到几个有趣的现象,例如,一些聚类与建成区表现出合理的相似性,而具有高时间变异性的位置在周边地区更为多见。此外,对于开发活动偏向某一方向的城市,其 LST 质心会随着年份推移发生偏移。我们在三个不同大洲的三个不同城市开展了上述研究。

英文摘要:

With the global population on the rise, our cities have been expanding to accommodate the growing number of people. The expansion of cities generally leads to the engulfment of peripheral areas. However, such expansion of urban areas is likely to cause increment in areas with increased land surface temperature (LST). By considering each summer as a data point, we form LST multi-year time-series and cluster it to obtain spatio-temporal pattern. We observe several interesting phenomena from these patterns, e.g., some clusters show reasonable similarity to the built-up area, whereas the locations with high temporal variation are seen more in the peripheral areas. Furthermore, the LST center of mass shifts over the years for cities with development activities tilted towards a direction. We conduct the above-mentioned studies for three different cities in three different continents.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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