Tracking the impact of the land cover change on the spatial-temporal distribution of the thermal comfort: Insights from the Qinhuai River Basin, China

IF 10.5 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Sustainable Cities and Society Pub Date : 2024-10-18 DOI:10.1016/j.scs.2024.105916

Chunguang Hu , Maomao Zhang , Gaoliu Huang , Zhuoqi Li , Yucheng Sun , Jianqing Zhao

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引用次数: 0

Abstract

China's rapid economic growth and urbanization have caused significant Land Cover Changes (LCC), worsened the Urban Heat Island (UHI) effect and reducing the Thermal Comfort (TC). Despite existing studies, there remains a gap in understanding the specific contributions of various LCC types to the TC, particularly in Qinhuai River Basin. This study addresses this gap by examining the LCC effects from 2013 to 2022 based on targeted metrics. We propose a novel TC classification model and introduce indices, including the Land Cover Contribution Index (LCI) and the Land Cover Classification Contribution Index (LCCI), to quantify the influence of different LCC types on the TC. Our findings reveal that farmland and woodland positively impact the TC, while the negative influence of impervious surfaces has intensified. The area of farmland in the most comfortable category has shown significant variability, while impermeable surfaces in uncomfortable and very uncomfortable categories have surged. Additionally, the Urban Water Body Contribution Index (U-WCI) consistently exceeded the Non-Urban Water Body Contribution Index (N-WCI), indicating an enhanced UHI effect within urban areas. This study concludes that changes in farmland and impervious surfaces are crucial for the TC and provides practical recommendations for land use planning against climate change.

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跟踪土地覆被变化对热舒适度时空分布的影响：中国秦淮河流域的启示

中国经济的快速增长和城市化进程引起了显著的土地覆被变化（LCC），加剧了城市热岛效应（UHI），降低了热舒适度（TC）。尽管已有相关研究，但在了解各种土地覆被类型对热舒适度的具体贡献方面仍存在差距，尤其是在秦淮河流域。本研究通过研究 2013 年至 2022 年基于目标指标的 LCC 效应来填补这一空白。我们提出了一种新的热量传输分类模型，并引入了土地覆被贡献指数（LCI）和土地覆被分类贡献指数（LCCI）等指数来量化不同土地覆被类型对热量传输的影响。我们的研究结果表明，农田和林地对 TC 有正面影响，而不透水地面的负面影响则有所加剧。最舒适类别中的农田面积变化很大，而不舒适和非常不舒适类别中的不透水表面面积则激增。此外，城市水体贡献指数（U-WCI）一直超过非城市水体贡献指数（N-WCI），表明城市地区的 UHI 效应增强。本研究的结论是，农田和不透水表面的变化对热带气旋至关重要，并为应对气候变化的土地利用规划提供了实用建议。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Sustainable Cities and Society Social Sciences-Geography, Planning and Development

CiteScore

22.00

自引率

13.70%

发文量

810

审稿时长

27 days

期刊介绍： Sustainable Cities and Society (SCS) is an international journal that focuses on fundamental and applied research to promote environmentally sustainable and socially resilient cities. The journal welcomes cross-cutting, multi-disciplinary research in various areas, including: 1. Smart cities and resilient environments; 2. Alternative/clean energy sources, energy distribution, distributed energy generation, and energy demand reduction/management; 3. Monitoring and improving air quality in built environment and cities (e.g., healthy built environment and air quality management); 4. Energy efficient, low/zero carbon, and green buildings/communities; 5. Climate change mitigation and adaptation in urban environments; 6. Green infrastructure and BMPs; 7. Environmental Footprint accounting and management; 8. Urban agriculture and forestry; 9. ICT, smart grid and intelligent infrastructure; 10. Urban design/planning, regulations, legislation, certification, economics, and policy; 11. Social aspects, impacts and resiliency of cities; 12. Behavior monitoring, analysis and change within urban communities; 13. Health monitoring and improvement; 14. Nexus issues related to sustainable cities and societies; 15. Smart city governance; 16. Decision Support Systems for trade-off and uncertainty analysis for improved management of cities and society; 17. Big data, machine learning, and artificial intelligence applications and case studies; 18. Critical infrastructure protection, including security, privacy, forensics, and reliability issues of cyber-physical systems. 19. Water footprint reduction and urban water distribution, harvesting, treatment, reuse and management; 20. Waste reduction and recycling; 21. Wastewater collection, treatment and recycling; 22. Smart, clean and healthy transportation systems and infrastructure;