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Prediction models of urban heat island based on landscape patterns and anthropogenic heat dynamics
Landscape Ecology ( IF 5.2 ) Pub Date : 2021-04-15 , DOI: 10.1007/s10980-021-01246-2
Jiayan Li , Ranhao Sun , Ting Liu , Wei Xie , Liding Chen

Contexts

The influence of landscape patterns on urban thermal environment has received remarkable attention with the rapid urbanization process worldwide. Although numerous studies have revealed the relationship between landscape patterns and the urban thermal environment, there is limited effort to quantify the contributions of landscape patterns and anthropogenic heat to urban heat islands (UHI) under the seasonal and daily dynamics.

Objectives

This study aims to identify the effects of landscape patterns and anthropogenic heat on UHI intensity in the daytime and nighttime as well as in different seasons.

Methods

We first used remotely sensed images to extract the landscape patterns and land surface temperature. Anthropogenic heat was quantified through energy consumption data. Multivariate stepwise regression was used to quantify the effects of landscape patterns and anthropogenic heat on UHI intensity.

Results

Eight models were constructed for daytime and nighttime UHI intensity in spring, summer, fall, and winter, respectively. Results demonstrated that the presence of buildings is the main factor affecting UHI intensity in urban area for three seasons except summer. Basically, the contributions of landscape configuration to the UHI in the daytime is higher than landscape composition, while the opposite is true at night. The contribution of anthropogenic heat was low in all seasons due to the high correlation with non-monolayer buildings. The nighttime UHI intensity models fit better than the daytime, especially in the winter.

Conclusions

This study contributes to the understanding of landscape influence on UHI intensity and provides practical guidelines for landscape planning to mitigate UHI effects.



中文翻译:

基于景观格局和人为热力学的城市热岛预测模型

语境

随着世界范围内快速的城市化进程,景观格局对城市热环境的影响受到了极大的关注。尽管大量研究揭示了景观格局与城市热环境之间的关系,但是在季节性和每日动态下,量化景观格局和人为热量对城市热岛(UHI)的贡献的努力有限。

目标

本研究旨在确定白天和晚上以及不同季节中景观格局和人为热量对超高强度强度的影响。

方法

我们首先使用遥感图像提取景观格局和土地表面温度。人为热量通过能耗数据进行量化。多变量逐步回归用于量化景观格局和人为热量对UHI强度的影响。

结果

分别针对春季,夏季,秋季和冬季的白天和夜间UHI强度构建了八个模型。结果表明,建筑物的存在是影响除了夏季以外的三个季节的城市超高强度的主要因素。基本上,白天景观配置对UHI的贡献要高于景观组成,而在晚上则相反。由于与非单层建筑的高度相关性,人为热量的贡献在所有季节均较低。夜间UHI强度模型比白天拟合得更好,尤其是在冬天。

结论

这项研究有助于了解景观对UHI强度的影响,并为景观规划减轻UHI效应提供实用指导。

更新日期:2021-04-15
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