Redirigiendo al acceso original de articulo en 19 segundos...
Inicio  /  Urban Science  /  Vol: 7 Par: 2 (2023)  /  Artículo
ARTÍCULO
TITULO

Enumerating and Modelling the Seasonal alterations of Surface Urban Heat and Cool Island: A Case Study over Indian Cities

Vinayak Bhanage    
Sneha Kulkarni    
Rajat Sharma    
Han Soo Lee and Shirishkumar Gedam    

Resumen

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.

 Artículos similares

       
 
Lahouari Bounoua, Kurtis Thome and Joseph Nigro    
Urbanization is a complex land transformation not explicitly resolved within large-scale climate models. Long-term timeseries of high-resolution satellite data are essential to characterize urbanization within land surface models and to assess its contri... ver más
Revista: Urban Science

 
Lu Cui, Yonghua Zhao, Jianchao Liu, Huanyuan Wang, Ling Han, Juan Li and Zenghui Sun    
The Qinling Mountains represent the dividing line of the natural landscape of north-south in China. The prediction on vegetation coverage is important for protecting the ecological environment of the Qinling Mountains. In this paper, the data accuracy an... ver más

 
Zhaoqi Wang, Xiang Liu, Hao Wang, Kai Zheng, Honglin Li, Gaini Wang and Zhifang An    
The Three-River Source Region (TRSR) is vital to the ecological security of China. However, the impact of global warming on the dynamics of vegetation along the elevation gradient in the TRSR remains unclear. Accordingly, we used multi-source remote sens... ver más

 
Ima Ituen and Baoxin Hu    
Mapping and understanding the differences in land cover and land use over time is an essential component of decision-making in sectors such as resource management, urban planning, and forest fire management, as well as in tracking of the impacts of clima... ver más

 
Hongzhu Han, Jianjun Bai, Gao Ma and Jianwu Yan    
Vegetation phenology is highly sensitive to climate change, and the phenological responses of vegetation to climate factors vary over time and space. Research on the vegetation phenology in different climatic regimes will help clarify the key factors aff... ver más