Identification and quantification of localized urban heat island intensity and footprint for Chennai Metropolitan Area during 1988–2023

IF 3 4区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES Environmental Monitoring and Assessment Pub Date : 2024-12-21 DOI:10.1007/s10661-024-13472-7
Mathan Mathivanan, Elanchezhiyan Duraisekaran
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Abstract

Rapid urbanization has altered land use and land cover to accommodate the growing population. This shift towards urbanization has resulted in the UHI effect, where the inner urban core is notably warmer than its surroundings. Existing research on UHI has primarily focused on major cities at the regional scale, leaving a gap in addressing the effect of extreme UHI zones within a city. This study bridges the gap by developing a methodology to quantify the impact of LULC change on the localized UHI zones within the urban areas, which will assist policymakers in mitigating urban heat. LULC change matrix analysis and LST retrieval were done from the Landsat 5 and 8 images acquired between 1988 and 2023. Representative study sites that intersected with the LULC conversion from water bodies and vegetation to other LULC and which showed maximum UHI were selected. Mean LST was calculated for the proximity of 1000 m around the selected areas. The developed methodology was applied to the Chennai Metropolitan Area in Tamil Nadu, India. The conversion of Pallikaranai marshland to the Perungudi dumping ground (PDG), and the green cover to the Kodungaiyur dumping ground (KDG) has led to an average increase in UHI intensity of 0.21 °C/year and 0.15 °C/year, respectively. The UHI effect is felt at the distance of 450 m from PDG and 550 m from KDG, which have shown that the life within the proximity are expected to experience the UHI effect. Therefore, it is imperative to alleviate the rising UHI around the selected areas. This developed methodology can be applied globally to select the targeted UHI zones for sustainable urban planning to mitigate urban heat.

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1988-2023年钦奈都市圈局部城市热岛强度和足迹的识别与量化
快速城市化改变了土地利用和土地覆盖,以适应不断增长的人口。这种向城市化的转变导致了超高温层效应,即城市内部核心区的温度明显高于周边地区。现有的关于超高气温指数的研究主要集中在区域范围内的大城市,在解决城市内部极端超高气温指数区域的影响方面存在空白。本研究通过开发一种方法来量化土地利用、土地利用变化和气候变化对城市局部地区的 UHI 区域的影响,从而弥补了这一空白,这将有助于政策制定者减缓城市热量。LULC 变化矩阵分析和 LST 检索是根据 1988 年至 2023 年期间获取的 Landsat 5 和 8 图像完成的。选择了具有代表性的研究地点,这些地点与从水体和植被向其他 LULC 转换的 LULC 相交,并显示出最大的 UHI。计算了所选区域周围 1000 米范围内的平均 LST。所开发的方法适用于印度泰米尔纳德邦的钦奈大都市区。将 Pallikaranai 沼泽地转化为 Perungudi 倾倒场 (PDG),以及将绿色植被转化为 Kodungaiyur 倾倒场 (KDG),导致 UHI 强度分别平均增加了 0.21 °C/年和 0.15 °C/年。在距离 PDG 450 米和 KDG 550 米处都能感受到 UHI 效应,这表明附近的生活预计会受到 UHI 效应的影响。因此,当务之急是缓解选定区域周围不断上升的 UHI。所开发的方法可在全球范围内应用,为可持续城市规划选择目标 UHI 区域,以减缓城市热量。
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来源期刊
Environmental Monitoring and Assessment
Environmental Monitoring and Assessment 环境科学-环境科学
CiteScore
4.70
自引率
6.70%
发文量
1000
审稿时长
7.3 months
期刊介绍: Environmental Monitoring and Assessment emphasizes technical developments and data arising from environmental monitoring and assessment, the use of scientific principles in the design of monitoring systems at the local, regional and global scales, and the use of monitoring data in assessing the consequences of natural resource management actions and pollution risks to man and the environment.
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