城市地表热岛和冷岛季节变化的枚举和模拟:以印度城市为例

IF 2.1 Q3 ENVIRONMENTAL SCIENCES
V. Bhanage, Sneha Kulkarni, Rajat Sharma, Han-Soo Lee, S. Gedam
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引用次数: 2

摘要

本研究分析了印度九个发展中城市的城市热岛效应的季节变化。城市热岛和植被梯度(∆NDVI)的大小是从白天的卫星数据集中测量的。这项研究的结果表明,在前季风季节(3月至5月),Kolhapur市出现了地表城市热岛(SUHI)的最大强度,而在冬季,浦那市出现了最高强度的SUHI。随后,结果还表明∆NDVI的变化抑制了季风前均值和SUHI震级的季节性变化。然而,在冬季(11月至2月),它受到农村地区温度-植被条件的控制。对于SUHI的季风前和季节变化,借助∆NDVI和城市地区的地表温度,拟合了SUHI季风前和季度变化的回归方程,这解释了近90%的SUHI变化。同样,SUHI的变化已经为冬季建模,这说明了高达84%的SUHI差异。研究表明,在季节尺度上,季节性∆NDVI降低0.1会导致SUHI的季节强度增加1.74°C,这是一个相当显著的增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enumerating and Modelling the Seasonal alterations of Surface Urban Heat and Cool Island: A Case Study over Indian Cities
The present study has been carried out to analyze the seasonal variation of the Urban Heat and Cool Island over the nine developing cities of India. The magnitude of urban heat/cool island and vegetation gradient (∆NDVI) were measured from the daytime satellite datasets. Results of this study show that during the pre-monsoon (March to May) season, the maximum magnitude of the Surface Urban Heat Island (SUHI) was experienced over Kolhapur city, whereas, in the winter, the highest intensity of SUHI was noticed over Pune city. Subsequently, outcomes also depict that the changes in ∆NDVI restrain the pre-monsoon means and the seasonal alterations in SUHI magnitude. However, during the winter (November to February) season, it is controlled by the temperature–vegetation conditions of the rural areas. For pre-monsoon and seasonal changes in SUHI, with the aid of ∆NDVI and the surface temperature of the urban area, regression equations were fitted for pre-monsoon and seasonal changes in SUHI, which explains nearly 90% of SUHI variation. Similarly, the variation of SUHI has been modeled for winter, which elucidates up to 84% of SUHI discrepancy. The study reveals that, on a seasonal scale, a decrement of 0.1 in seasonal ∆NDVI leads to an increase in the seasonal intensity of SUHI by 1.74 °C, which is quite a significant augmentation.
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来源期刊
CiteScore
4.30
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