Spatiotemporal Variations of Landscape Pattern and Urban Thermal Environment in Zhangjiakou City During 1996-2017

Liu Mengzhu; Li Yali; Zhang Hongjuan; Wang Feixiao; Pei Hongwei

doi:10.13961/j.cnki.stbctb.2021.06.039

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Spatiotemporal Variations of Landscape Pattern and Urban Thermal Environment in Zhangjiakou City During 1996-2017

- Spatiotemporal Variations of Landscape Pattern and Urban Thermal Environment in Zhangjiakou City During 1996-2017
- Bulletin of Soiland Water Conservation Vol. 41, Issue 6, Pages: 303-309(2021)
- 作者机构：
  
  1. 河北建筑工程学院市政与环境工程系,河北,张家口,075000
  2. 河北省水质工程与水资源综合利用重点实验室,河北,张家口,075000
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2021.06.039
  CLC： X52;F301.2
- Published：2021
- 稿件说明：
移动端阅览
Liu Mengzhu, Li Yali, Zhang Hongjuan, et al. Spatiotemporal Variations of Landscape Pattern and Urban Thermal Environment in Zhangjiakou City During 1996-2017[J]. Bulletin of Soiland Water Conservation, 2021, 41(6): 303-309.
DOI：

Liu Mengzhu, Li Yali, Zhang Hongjuan, et al. Spatiotemporal Variations of Landscape Pattern and Urban Thermal Environment in Zhangjiakou City During 1996-2017[J]. Bulletin of Soiland Water Conservation, 2021, 41(6): 303-309. DOI： 10.13961/j.cnki.stbctb.2021.06.039.

摘要

[目的

]

对河北省张家口市景观格局及城市热环境的时空变化及关系进行分析，为缓解城市热环境极端化给人居环境、工业生产带来的严重威胁提供策略。[方法

]

基于Landsat遥感影像，通过地表温度反演和移动窗口法分析张家口市区1996—2017年城市热环境和景观格局的时空变化关系。[结果

]

①1996—2017年，研究区景观格局主要变化为不透水面景观的增加（81.26 km

）以及植被景观的减少（61.78 km

）； ②研究区平均地表温度（LST）在1996—2017年增长了约3℃；不透水面和植被景观的平均LST为27.29℃和23.77℃，分别为城市热环境中的“热源”和“冷源”； ③植被、水域景观面积比例每下降10%，对应的LST分别下降2.71℃和5.77℃；不透水面面积比例增长10%，LST则上升0.25℃；景观聚合度、景观形状指数、耕地面积比例均与LST保持非线性相关。[结论

]

1996—2017年张家口市热环境的进一步加剧，主要与城市化扩张以及植被的减少有关。

Abstract

[Objective] The impacts of landscape pattern on urban thermal environment were studied to support the strategies that can mitigate extreme thermal environment caused by rapid urbanization in living environments and industrial production.[Methods] Based on Landsat images in 1996

2008 and 2017 in Zhangjiakou City of Hebei Province

land surface temperature (LST) retrieval was conducted to quantify and map the thermal environment. Meanwhile

the landscape pattern index was obtained by moving window method at a grid scale. Finally

the specific relationship between the landscape pattern and LST was analyzed quantitatively and spatially.[Results] ① The changes of landscape pattern were featured by the expansion of impervious surface landscape with an increase of more than 81.26 km2 from 1996 to 2017

followed by the reduction in vegetation landscape (61.78 km2). ② During the study period

the average LST of the study area increased by approximately 3℃

and the impervious surface landscape and vegetation landscape as the "heat source" landscape and the "cold source" landscape maintained the average LST of 27.29℃ and 23.77℃

respectively. ③ For every 10% decrease in the proportion of vegetation landscape and water landscape area

the corresponding LST decreased by 2.71℃ and 5.77℃

respectively. For every 10% increase in the proportion of impervious surface area

LST increased by 0.25℃. Landscape aggregation

shape index and proportion of cultivated area all maintained a non-linear correlation with LST.[Conclusion] The urban's thermal environment has developed towards a high level in Zhangjiakou City in the last two decades

which was strongly related to both the increase in impervious surface and reduction in vegetation.

关键词

Keywords

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