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北京市第一道绿化隔离带区域热环境特征及绿地降温作用

孙喆   

  1. (北京建筑大学建筑与城市规划学院, 北京 100044)
  • 出版日期:2019-11-10 发布日期:2019-11-10

Thermal environment characteristic and cooling effect of greenery in Beijing First Green Belt area.

SUN Zhe   

  1. (College of Architecture and Urban Planning, Beijing University of Civil Engineering and Architecture, Beijing 100044, China).
  • Online:2019-11-10 Published:2019-11-10

摘要: 以北京市第一道绿化隔离带及其相交的街道、乡镇行政边界为研究范围,通过遥感反演及解译、移动窗口景观格局指数、空间分析及统计等方法,研究了该区域的热环境特征,并结合网格采样法对绿地的降温作用进行了探索。结果表明:研究区热岛强度呈现南高北低、东高西低的特征,且隔离带内的强热岛比例高于隔离带外,反映了隔离带在局部地区管控不足,热环境调节功能退化;乡镇级尺度下,强热岛净贡献的街道乡镇占总数的55.74%,街道乡镇绿地面积比例与热岛面积比例呈显著负相关,与冷岛面积比例呈显著正相关,表明街道乡镇高绿地率可有效缓解热岛效应;网格采样点尺度下,属于强热岛净贡献的样点比例为51.69%;对样点500 m绿地组分建立的回归模型结果显示,绿地对周边热环境的影响半径在150~200 m;距离采样点50~100 m、100~150 m圈层内,绿地率提高1%分别导致采样点地表温度下降0.023和0.013 ℃。绿地空间格局在一定尺度下可充分表现出降温作用差异;斑块面积越大、整体形状越简单、空间分布越聚集,降温作用越强,而斑块密度越高、形状越复杂、空间分布越离散,降温作用越弱。

关键词: 模拟增温, DOC, DON, 海拔梯度, 高山森林

Abstract: We investigated the thermal environment characteristics of Beijing First Green Belt (BFGB) area, which is defined as the sub-districts intersected with the belt, and identified the cooling effect of greenery. Land surface temperature (LST) was retrieved and greenery land cover was interpreted by Landsat 8 image data in 2015, and thermal environment characteristics and cooling effect of greenery were analyzed by GIS spatial analysis, moving window landscape pattern indices, and statistical analysis methods. Heat island intensity in the study area showed a pattern of “south high and north low” and “east high and west low”. BFGB inner zone had higher proportion of strong heat island area than the outer zone, suggesting that governance in the belt was not sufficient to effectively regulate the thermal environment. At sub-district level, 55.74% of sub-districts had net contribution to strong heat island. Greenery ratio was negatively correlated with the proportion of heat island area and positively correlated with the proportion of cool island area, suggesting that high greenery ratio in sub-districts could effectively mitigate heat island. At grid sampling point level, sampling points with net contribution to strong heat island accounted for 51.69%. Buffer zone with a 500 m radius was generated by every sampling point. The regression model showed that the impact radius of greenery on mitigating heat island effect was between 150-200 m, and that 1% enhancement of greenery within 50-100 m and 100-150 m circles can result in 0.023 and 0.013 ℃ decrease of LST. From the greenery spatial pattern, the larger the patch area, the simpler the shape, the more aggregated the spatial distribution, the stronger the cooling effect is; while the higher the patch density, the more complex the shape, the more dispersed the spatial distribution, the weaker the cooling effect is.

Key words: simulated warming, DOC, DON, altitude gradient, alpine forest.