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Strong contribution of rapid urbanization and urban agglomeration development to regional thermal environment dynamics and evolution

机译:快速城市化和城市集中发展对区域热环境动态和演变的强大贡献

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Urbanization has significantly transformed natural surfaces into impervious surfaces, which has subsequently disturbed the balance of the global surface thermal energy. However, key landscape dynamic transfer processes that can affect land surface temperature (LST) and regional thermal environment (RTE) remain poorly understood, especially in the context of urban agglomerations. Hence we selected one of the world's most rapidly urbanized regions - the Pearl-River-Delta Metropolitan Region (PRDR) located in southern China as the case. With the help of Google Cloud Computing, Markov model, and spatial analyses, we have further quantified the strong contributions of urbanization and urban agglomeration development to RTE dynamics and evolution. Specifically, we revealed (1) the cooling effects of ecological land loss and gain are significantly different, which provides evidence that the existing natural ecosystems (especially forests) are valuable for climatic adaptation because newly constructed ecological land does not provide the same cooling effect. (2) We found that the RTE is not only influenced by land cover patterns and process but also significantly dominated by the specific land conversion processes. (3) From 1995 to 2015 in the PRDR, built-up land increased significantly, while the ecological land was significantly reduced, and the isolated urban heat islands were gradually connected and interacted with each other, forming the regional heat island. (4) We also proposed that the relationship between urbanization rate and temperature (RLST) may conform to the Environmental Kuznets Curve. This study enhances the understanding of RTE dynamics and evolution in urban agglomeration and provides important insights into existing natural ecosystem protection and climate adaptation planning.
机译:城市化在不透水的表面中具有显着变化的自然表面,随后使全球表面热能的平衡扰乱了。然而,可能影响陆地温度(LST)和区域热环境(RTE)的关键景观动态转移过程仍然明显,特别是在城市集群的背景下。因此,我们选择了世界上最迅速城市化的地区之一 - 位于中国南部的珠江三角洲大都市(PRDR)。在Google Cloud Computing,Markov模型和空间分析的帮助下,我们进一步量化了城市化和城市凝聚发展对RTE动态和进化的强大贡献。具体而言,我们透露(1)生态土地损失和增益的冷却效应显着不同,这提供了证据表明现有的自然生态系统(特别是森林)对气候适应有价值,因为新建的生态土地不提供相同的冷却效果。 (2)我们发现RTE不仅受到陆地覆盖模式和过程的影响,还受到特定土地转换过程的大大主导。 (3)从1995年到2015年,在PRDR中,建筑土地显着增加,而生态土地显着降低,而孤立的城市热岛逐渐互相互动,形成区域热岛。 (4)我们还提出城市化率和温度(RLST)之间的关系可以符合环境库兹涅茨曲线。本研究提高了对城市集群的RTE动态和演变的理解,并为现有的自然生态系统保护和气候适应计划提供了重要的见解。

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