Literature DB >> 33182007

Surface urban heat islands in Italian metropolitan cities: Tree cover and impervious surface influences.

Marco Morabito1, Alfonso Crisci2, Giulia Guerri2, Alessandro Messeri3, Luca Congedo4, Michele Munafò5.   

Abstract

Land surface temperature (LST) predictors, such as impervious and vegetated surfaces, strongly influence the urban landscape mosaic, also changing microclimate conditions and exacerbating the surface urban heat island (SUHI) phenomenon. The aim of this study was to investigate the summer daytime SUHI phenomenon and the role played by impervious and tree cover surfaces in the 10 Italian peninsular metropolitan cities. Summer daytime LST values were assessed by using MODIS data referred to the months of June, July and August from 2016 to 2018. High spatial resolution (10 m) of impervious surface and tree cover layers was calculated based on open-data developed by the Italian National Institute for Environmental Protection and Research. A novel informative urban surface landscape layer was developed combining impervious surfaces and tree cover densities and its mapping for metropolitan cities was performed. Summer daytime SUHI rose significantly, increased especially in inland cities, by increasing the size of areas with low tree cover densities in the metropolitan core (or decreasing areas with low tree cover densities outside the metropolitan core), further increasing its intensity when the impervious density grew. A mitigating effect of the sea on daytime LST and SUHI was observed on coastal cities. The most intense SUHI phenomenon was observed in Turin (the largest Italian metropolitan city): for every 10% increase in areas with highly impervious surfaces and low tree cover densities in the metropolitan core, the SUHI significantly (p < 0.001) increased by 4.0 °C. Increased impervious surfaces combined with low tree cover densities represented the main driving process to increase the summer daytime SUHI intensity in most studied cities. These findings are useful to identify summer daytime LST critical areas and to implement the most efficient urban-heat-island mitigation strategies in order to safeguard the vulnerable urban environment and enhance quality of life for the population.
Copyright © 2020 Elsevier B.V. All rights reserved.

Keywords:  Hot-spots; Land surface temperature; Mitigation strategies; Soil consumption; Urban landscape; Vegetation

Year:  2020        PMID: 33182007     DOI: 10.1016/j.scitotenv.2020.142334

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  2 in total

1.  A Novel Bayes Approach to Impervious Surface Extraction from High-Resolution Remote Sensing Images.

Authors:  Mingchang Wang; Wen Ding; Fengyan Wang; Yulian Song; Xueye Chen; Ziwei Liu
Journal:  Sensors (Basel)       Date:  2022-05-22       Impact factor: 3.847

2.  The Mitigation Effect of Park Landscape on Thermal Environment in Shanghai City Based on Remote Sensing Retrieval Method.

Authors:  Tian Wang; Hui Tu; Bo Min; Zuzheng Li; Xiaofang Li; Qingxiang You
Journal:  Int J Environ Res Public Health       Date:  2022-03-03       Impact factor: 3.390

  2 in total

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