利用数据驱动的方法深入了解区域范围内的热岛

IF 3.9 Q2 ENVIRONMENTAL SCIENCES City and Environment Interactions Pub Date : 2023-10-15 DOI:10.1016/j.cacint.2023.100124
Nicola Colaninno
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引用次数: 0

摘要

城市热岛现象是气候变化背景下的一个重要问题。然而,尽管对城市内的UHIs进行了大量研究,但我们对区域一级的理解仍有待改进。本研究通过考察区域热岛与土地利用/土地覆盖(LULC)、植被和海拔的关系,深入探讨了区域热岛的复杂动态。目标是增强我们对RHI的了解,以便为有效的缓解战略提供信息。该研究采用数据驱动的方法,利用卫星数据和空间建模,检查地表和冠层区域热岛,并考虑白天和夜间的变化。为了评估LULC的影响,该研究评估了三个主要类别:人类(城市化)、农业和森林/半自然环境。进一步研究植被对RHI的影响,并结合高程数据了解植被对RHI强度的影响。研究结果揭示了不同lulc之间热岛的有意义的变化,提供了重要的见解。虽然城市化地区表现出最高的RHI强度,但由于土地利用变化和植被覆盖减少,农业地区对RHI的贡献显著。这强调了人类活动的重大影响。相比之下,树木和半自然环境由于其茂密的植被和遮阳效果,显示出减轻RHI的潜力。海拔虽然通常与热岛的减少有关,但也根据当地条件表现出变化。最后,本研究强调了RHI现象的复杂性,以及考虑不同温度及其日变化、景观异质性和海拔等因素的重要性。此外,研究还强调了可持续空间规划和土地管理的重要性。在白天地表温度高的地区,有针对性地增加植被可以减少热量储存并缓解RHI。同样,农林业和农业地区绿色基础设施的规划可以显著提高对气候的抵御能力。
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Insights into heat islands at the regional scale using a data-driven approach

Urban heat island (UHI) phenomenon is crucial in the context of climate change. However, while substantial attention has been given to studying UHIs within cities, our understanding at the regional level still needs to be improved. This study delves into the intricate dynamics of the regional heat island (RHI) by examining its relationship with land use/land cover (LULC), vegetation, and elevation. The objective is to enhance our knowledge of RHI to inform effective mitigation strategies. The research employs a data-driven approach, leveraging satellite data and spatial modeling, examining surface and canopy-layer regional heat islands, and considering daytime and nighttime variations. To assess the impact of LULC, the study evaluates three main categories: anthropized (urbanized), agricultural, and wooded/semi-natural environments. Furthermore, it delves into the influence of vegetation on RHI and incorporates elevation data to understand its role in RHI intensity. The findings reveal meaningful variations in heat islands across different LULCs, providing essential insights. Although urbanized areas exhibit the highest RHI intensity, agricultural regions contribute notably to RHI due to land use changes and reduced vegetation cover. This emphasizes the significant impact of human activities. In contrast, wooded and semi-natural environments demonstrate potential for mitigating RHI, owing to their dense vegetation and shading effects. Elevation, while generally associated with reduced heat island, shows variations based on local conditions. Ultimately, this research underscores the complexity of the RHI phenomenon and the importance of considering factors such as different temperatures and their daily variation, landscape heterogeneity, and elevation. Additionally, the study emphasizes the significance of sustainable spatial planning and land management. Targeted efforts to increase vegetation in high daytime land surface temperature areas can reduce heat storage and mitigate RHI. Similarly, planning for agroforestry and green infrastructure in agricultural areas can significantly increase resilience to climate.

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来源期刊
City and Environment Interactions
City and Environment Interactions Social Sciences-Urban Studies
CiteScore
6.00
自引率
3.00%
发文量
15
审稿时长
27 days
期刊最新文献
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