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武汉城市水体热环境调节机制的尺度效应

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科学理解城市水体的热环境调节机制是以热环境优化为导向的城市蓝绿基础设施规划及实践的重要基础。基于300 m、1000 m和3000 m的统计尺度,探讨常用景观指数与地表温度关系的尺度响应规律,识别不同尺度水体热环境调节的主要影响因素及作用机制。结果表明:(1)总体而言,地表温度与水体斑块类型水平景观指数的关系比景观水平指数的关系稳定,受尺度影响更小。(2)斑块类型水平表征水系面积、邻近度和聚散性特征的指数基本不受尺度影响,但与水体密度、形状及边缘特征相关的指标表现出尺度依赖性;景观水平的各指数与地表温度的关系随着尺度增加更加紧密,其更适合解释粗尺度的热环境变化。(3)城市水体降温效应的主要影响因素及其机制表现出明显的尺度效应,水体斑块所占景观面积比例在不同统计尺度均是最大的贡献者,但相对贡献度随着尺度增大变弱;此外,局地尺度(300 m)水体的降温还主要受到水体的形状和边缘特征的影响,而粗尺度(3000 m)则更多受到水体间的邻近程度和空间分布距离的影响。(4)考虑其他景观要素的交互作用时,局地尺度地表温度的变化更多受到建设用地面积及其空间分布的影响,水体的作用被弱化;但随着统计尺度增大,城市水体尤其是水体面积比例对热环境调节的贡献度增加。这些发现能为城市蓝绿基础设施规划应对气候变化提供科学参考。
Scale effect of regulating mechanism of urban water bodies in improving thermal environment in Wuhan,China
It is of great significance to understand the regulation mechanism of urban water bodies on thermal envi-ronment for developing urban blue-green infrastructure system oriented to thermal environment improvement.This study detected the correlations between commonly-used landscape metrics and land surface temperature(LST)at different scales of 300 mx300 m,1000 mx1000 m,and 3000 mx3000 m.The main influencing factors of water bodies in regulating thermal environment were identified and the regulation mechanisms were monitored accordingly.The results showed that:(1)Generally,LST was more stably and closely correlated with the landscape indices at class level than with those at landscape level.(2)At class level,the correlations between LST and the variables indicating water area,proximity and dispersion were stable and less affected by scale size,while those related to density,shape and edge characteristic of water bodies were scale-dependent.The variables at landscape level showed stronger correlations with LST with the increases of scale size,thus they were appropriate to explain the LST variation at a larger scale.(3)The main influencing factors and mechanism of water bodies on cooling thermal envi-ronment varied with scale size,showing an obvious scale effect.The area proportion of water bodies in landscape was the largest contributor to the cooling effect of water bodies at all studied scales,though the relative contribution decreased with the scale increasing.Additionally,the cooling effect of water system was influenced by water body shape and edge features at local scale(300 m)and by the proximity and distribution distance of water bodies at coarser scale(3000 m).(4)Considering the interactions between water bodies and other landscape elements,LST variation at local scale was mainly attributed to the area and spatial distribution distance of construction land.The cooling efficiency of water bodies was weakened by the surrounding impervious covers.At coarser scales,the area proportion of water bodies in landscape contributed more to thermal environment variation,which could combat the thermal deterioration caused by urbanization to a certain extent.These findings provide informative evidence for the planning of urban blue-green infrastructure system to adapt to climate change.

heat island effectblue-green infrastructurecooling effectlandscape metrics

谢启姣、杨晨哲、任陆

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湖北大学资源环境学院,武汉 430062

热岛效应 蓝绿基础设施 降温效应 景观指数

国家自然科学基金项目湖北省自然科学基金面上项目

414011862019CFB538

2024

生态学杂志
中国生态学学会

生态学杂志

CSTPCD北大核心
影响因子:1.439
ISSN:1000-4890
年,卷(期):2024.43(8)