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空间土地覆盖动态与扩展城市热岛的协同相互作用。

Synergetic interaction between spatial land cover dynamics and expanding urban heat islands.

机构信息

GIS Cell, Motilal Nehru National Institute of Technology Allahabad, Prayagraj, Uttar Pradesh, 211004, India.

Department of Civil Engineering, Motilal Nehru National Institute of Technology Allahabad, Prayagraj, Uttar Pradesh, 211004, India.

出版信息

Environ Monit Assess. 2021 Mar 12;193(4):184. doi: 10.1007/s10661-021-08969-4.

Abstract

Inherent statistics of the surface temperature pattern were used to categorize urban heat islands (UHIs) for a tropical mega city and its satellite towns. Application of flexible threshold values for UHI zoning made this procedure independent of seasonal or locational influences. UHI zones for the years 1999, 2009, and 2019 were mapped from Landsat thermal bands by applying the mono-window algorithm. The parameters affecting the UHI intensity were rigorously investigated. Dynamics of land use land cover patterns provided in-depth insight into the spatiotemporal variability of UHI. The abrupt rises in localized surface temperature for every decade were recognized and thoroughly explained with the fall in fractional vegetation cover index and increase in normalized difference impervious surface index. The temporal nature of urban agglomeration and fragmentation of vegetation cover was quantified through landscape metric algorithms. The vegetation pattern and associated surface temperature fall were further used to evaluate the weakening of UHI intensity around major recreational zones. Substantial cooling by 0.938 °C was noted on daytime, from urban built-up at a 50-m distance to the green parks. Differential rates of urbanization and associated magnification of UHIs were looked into separately for central urban and satellite town areas. The characteristics of built-up density and proximity to green areas were employed to strategize mitigatory measures for the constantly growing UHI problem. Urgent needs for sustainable policies and green landscaping were highlighted through multi-criterion analysis.

摘要

利用地表温度模式的固有统计数据对热带特大城市及其卫星城镇的城市热岛(UHI)进行分类。灵活阈值的应用使得这种 UHI 分区方法不受季节性或位置影响。应用单窗算法,从 Landsat 热波段绘制了 1999 年、2009 年和 2019 年的 UHI 带图。严格研究了影响 UHI 强度的参数。土地利用/土地覆盖模式的动态提供了对 UHI 时空变化的深入了解。每十年局部地表温度的突然上升被识别出来,并通过植被覆盖指数的下降和归一化差异不透水面指数的增加来彻底解释。通过景观指标算法量化了城市集聚和植被覆盖破碎化的时间性质。植被模式及其相关地表温度下降进一步用于评估主要娱乐区周围 UHI 强度的减弱。从城市建成区到 50 米距离的绿色公园,白天的降温幅度达到了 0.938°C。分别研究了中心城市和卫星城镇地区城市化的差异率及其对 UHI 的放大效应。利用建成密度和与绿地的接近程度的特点,制定了针对不断增长的 UHI 问题的缓解措施。通过多标准分析强调了可持续政策和绿色景观美化的迫切需求。

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