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Variations in land surface temperature and cooling efficiency of green space in rapid urbanization: The case of Fuzhou city, China

机译:快速城市化土地面积温度和冷却效率的变化 - 以福州市福州市为例

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Rapid urbanization has caused significant land cover change (LCC) as well as changes in the land surface temperature (LST). However, the crucial land dynamic process, which could significantly contribute to the increase in LST and aggravation of the urban heat island (UHI) effect, remains poorly understood. Additionally, a strategy to optimize the most significant decreased land cover type in order to maximize the cooling effect is still lacking. Therefore, in this study, we selected the rapidly urbanizing and 'hottest' city in China, Fuzhou, as a case study. Two algorithms were selected to compare and obtain reliable LST data. A land use transfer matrix was used to detect critical contributions leading to the LST variations. The concept of cooling efficiency (CE) and the threshold value of efficiency (TVoE) are also proposed, defined, and calculated. The results show that LST values increased with increasing proportion of built-up land and sharply decreasing proportion of green space. Areas where LST differences exceed 4 degrees C cover 93% of the areas where green spaces decreased. Additionally, the LST variation is not only associated with the dominant land cover types but is also affected by the land cover transfer pattern and dynamics. Finally, we have calculated the TVoE of green space in Fuzhou city to be 4.55 +/- 0.5 ha. This finding implies that when Fuzhou municipality implements urban/landscape planning, a green space area of 4.55 +/- 0.5 ha is the most efficient to reduce the heat effect. This study extends the current understanding of LCC dynamics and LST variation. The concepts of the CE and TVoE are meaningful for landscape planning practice and can be used in other cases.
机译:快速城市化引起了大量的土地覆盖变化(LCC)以及陆地温度(LST)的变化。然而,关键的土地动态过程,这可能会显着促进城市热岛(UHI)效应的LST和加重增加,仍然难以理解。此外,仍然缺乏优化最显着降低的陆地覆盖类型的策略,以最大限度地缺乏冷却效果。因此,在这项研究中,我们选择了中国福州的迅速城市化和“最热门”的城市,以案例研究为例。选择两个算法以比较和获得可靠的LST数据。使用土地使用传递矩阵来检测导致LST变化的关键贡献。还提出,定义和计算了冷却效率(CE)和效率(TVOE)的阈值的概念。结果表明,LST值随着越来越多的建筑土地比例和急剧下降的绿地空间比例。 LST差异超过4摄氏度的区域覆盖绿色空间减少的区域的93%。另外,LST变化不仅与主要陆地覆盖类型相关,而且也受到土地覆盖传递模式和动态的影响。最后,我们已经计算了福州市绿地的TVOE 4.55 +/- 0.5公顷。这一发现意味着,当福州市实施城市/景观规划时,绿色空间面积为4.55 +/- 0.5公顷,最有效地降低热效应。本研究扩展了目前对LCC动力学和LST变化的了解。 CE和TVOE的概念对于景观规划实践有意义,可以在其他情况下使用。

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