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宁德市蕉城区植被与热岛效应关系 被引量:3

Relationship between Vegetation and Heat Island Effect in Jiaocheng District,Ningde City
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摘要 文章利用1999年9月23日和2015年9月27日宁德市蕉城区TM卫星影像数据,定量反演了城区的热场和植被指数,并对城区热场变化以及其与植被之间的关系进行了分析。结果表明:1999—2015年,平均热场温度升高0.43℃,城市热场在东北部区域进一步扩大,在西南区域有所收缩;2015年与1999年相比,绿岛面积增加9.44%,弱热岛、中等热岛、强热岛和极强热岛分别减少6.08%、2.66%、0.64%和0.06%,绿岛面积在西南部区域扩展,弱热岛、中等热岛、强热岛和极强热岛在霍童镇、扶摇乡、八都镇、七都镇、漳湾镇、涵道乡、城南镇区域的分布更加集中,且在赤溪镇有所延伸;城区热场强度与植被指数、地表植被盖度等级呈显著负相关性。 In this paper, we quantitatively retrieved the heat field and vegetation index in the urban area of Jiaocheng District, Ningde City, from Landsat TM thermal-infrared datasets, which were obtained on September 23, 1999 and September 27, 2015, respectively, and then analyzed the dynamic changes of the heat field and its relationship with vegetation. The result showed that in 1999-2015, the average temperature of the heat field increased by 0. 43 丈, and the urban heat island expanded its coverage in the northeast region of this district while contracting its area in the southwestern region. Compared with the year of 1999, the year of 2015 saw the increase of the green island area by 9 .4 4%, which occurred mainly in the southwest region, while the area of slight heat island, medium heat island, strong heat island and extreme heat island decreased by 6. 08%, 2. 66%, 0. 64% and 0. 06%, respectively, which happened mainly in the townships of Huotong, Fuyao, Badu, Qidu, Zhangwan, Handao and Chengnan and even extended to Chixi Town. It was also found that the intensity of urban heat field is negatively correlated with vegetation index and surface vegetation coverage.
作者 李晓婷 贾宝全 Li Xiaoting;Jia Baoquan(Research Institute of Forestry, Chines Academy of forestry, Beijing 100091,China;Key Laboratory of Tree Breeding and Cultivation, State Forestry Administration, Beijing 100091,China;Research Centre of Urban Forestry, State Forestry Administration, Beijing 100091, China)
出处 《中国城市林业》 2018年第2期5-9,共5页 Journal of Chinese Urban Forestry
基金 林业公益性行业科研专项经费项目(201404301)
关键词 热岛效应 相对亮温 植被指数 植被盖度 动态变化 urban heat island, relative brightness temperature, vegetation index, vegetation coverage,dynamic change
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