Quantifying the contribution of industrial zones to urban heat islands: Relevance and direct impact.

Heat emission Land surface temperature Remote sensing Urban industrial zone Urban management

Journal

Environmental research
ISSN: 1096-0953
Titre abrégé: Environ Res
Pays: Netherlands
ID NLM: 0147621

Informations de publication

Date de publication:
01 Jan 2024
Historique:
received: 27 08 2023
revised: 01 11 2023
accepted: 02 11 2023
medline: 23 11 2023
pubmed: 6 11 2023
entrez: 5 11 2023
Statut: ppublish

Résumé

Industrial production activities are an important source of urban heat emissions. Quantifying the contribution of industrial zones to urban heat islands (UHIs) is crucial for urban planning and management. However, few studies have explored the quantitative relationship between land surface temperature (LST) and urban industrial zones (UIZs) at the urban scale, especially the direct impact of industrial expansion or contraction on LST. Linyi City, the largest city in Shandong Province, was selected as the study area. This study aims to analyze the spatial-temporal variation in the UIZs in Linyi City from 2013 to 2022, focusing on the quantitative relationship between LST and UIZs. Using remote sensing images, a novel spectral index (called the BCCSI) was constructed to identify factory buildings. The performance of the BCCSI was validated using five existing indices and Google Earth images. Over the past 10 years, the UIZ area of Linyi has increased by 137.16 km

Identifiants

pubmed: 37926229
pii: S0013-9351(23)02398-8
doi: 10.1016/j.envres.2023.117594
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

117594

Informations de copyright

Copyright © 2023 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Chuanwu Zhao (C)

State Key Laboratory of Remote Sensing, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China; Key Laboratory of Environmental Change and Natural Disasters of Chinese Ministry of Education, Beijing Normal University, Beijing, 100875, China; Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China. Electronic address: chuanwu@mail.bnu.edu.cn.

Yaozhong Pan (Y)

State Key Laboratory of Remote Sensing, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China; Key Laboratory of Environmental Change and Natural Disasters of Chinese Ministry of Education, Beijing Normal University, Beijing, 100875, China; Academy of Plateau Science and Sustainability, Qinghai Normal University, Xining, 810016, China. Electronic address: pyz@bnu.edu.cn.

Hanyi Wu (H)

State Key Laboratory of Remote Sensing, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China; Key Laboratory of Environmental Change and Natural Disasters of Chinese Ministry of Education, Beijing Normal University, Beijing, 100875, China.

Yu Zhu (Y)

State Key Laboratory of Remote Sensing, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China; Key Laboratory of Environmental Change and Natural Disasters of Chinese Ministry of Education, Beijing Normal University, Beijing, 100875, China.

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