武汉城市热岛特征及其影响因素分析
发布时间:2019-01-01 12:56
【摘要】:正确理解城市热岛效应的形成机制及其影响因素是制定热岛效应缓解政策和研究城市生态问题的前提和基础。选用1987年9月26日的Landsat-5和2013年9月17日的Landsat-8遥感影像进行地表温度反演,分析武汉市城市热岛效应的时空演变特征;对热岛效应明显的武汉市主城区进行格网划分,提取格网内地表温度及所选影响因子指标值,运用主成分回归方法进行地表温度多因子综合分析,探讨城市热岛形成的主要影响因素。结果表明:(1)武汉市地表温度空间分布表现出典型的热岛特征,1987年和2013年分别有27.7%和39.1%的范围被"热岛"覆盖;(2)影响武汉城市热岛效应的主要因素有不透水面指数、水体面积比例、归一化建筑指数、归一化植被指数及绿地面积比例;(3)当其他影响因素稳定时,不透水面指数每增加1%,可使地表温度增温0.04℃~0.10℃;水体面积每增加1%,可降低地表温度0.03℃。
[Abstract]:The correct understanding of the formation mechanism of urban heat island effect and its influencing factors are the premise and foundation of formulating the policy of alleviating the heat island effect and studying the urban ecological problems. Land surface temperature inversion was carried out from Landsat-5 images of September 26, 1987 and Landsat-8 images from September 17, 2013, and the spatial and temporal evolution characteristics of urban heat island effect in Wuhan were analyzed. The main urban area of Wuhan city with obvious heat island effect is divided into grid, the surface temperature and the selected factor index value are extracted, and the multi-factor comprehensive analysis of surface temperature is carried out by principal component regression method. The main factors influencing the formation of urban heat island are discussed. The results show that: (1) the spatial distribution of surface temperature in Wuhan shows typical heat island characteristics, 27.7% in 1987 and 39.1% in 2013 are covered by "heat island"; (2) the main factors affecting the urban heat island effect in Wuhan are water surface index, water area ratio, normalized building index, normalized vegetation index and green area ratio; (3) when other influencing factors are stable, the surface temperature can be increased by 0.04 鈩,
本文编号:2397599
[Abstract]:The correct understanding of the formation mechanism of urban heat island effect and its influencing factors are the premise and foundation of formulating the policy of alleviating the heat island effect and studying the urban ecological problems. Land surface temperature inversion was carried out from Landsat-5 images of September 26, 1987 and Landsat-8 images from September 17, 2013, and the spatial and temporal evolution characteristics of urban heat island effect in Wuhan were analyzed. The main urban area of Wuhan city with obvious heat island effect is divided into grid, the surface temperature and the selected factor index value are extracted, and the multi-factor comprehensive analysis of surface temperature is carried out by principal component regression method. The main factors influencing the formation of urban heat island are discussed. The results show that: (1) the spatial distribution of surface temperature in Wuhan shows typical heat island characteristics, 27.7% in 1987 and 39.1% in 2013 are covered by "heat island"; (2) the main factors affecting the urban heat island effect in Wuhan are water surface index, water area ratio, normalized building index, normalized vegetation index and green area ratio; (3) when other influencing factors are stable, the surface temperature can be increased by 0.04 鈩,
本文编号:2397599
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