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基于遥感技术的长春市南关区热岛效应研究 被引量:2

Research on heat island effect in Nanguan District of Changchun City based on remote sensing
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摘要 根据2018年6月24日Landsat 8卫星的遥感数据,选用单窗算法,对长春市南关区进行地表温度反演;结合土地利用及土地覆盖类型,将其热岛效应强度进行分级处理,根据结果分析何种因素会对热岛效应形成影响,并推断热岛效应形成的原因,据此对城市规划提出合理建议.结果表明:长春市南关区整体存在热岛效应现象;土地利用类型与地表温度之间的关系可以表示为,无植被覆盖区域>植被覆盖区域>水体;植被覆盖率较低的区域是强热岛效应的主要分布区域;水体、绿植覆盖程度较高的区域无热岛效应.城市在开发与建设的进程中,应倡导低碳出行,节能环保;扩大水体面积和绿地面积,采用人为措施缓解城市热岛现象. This study takes Nanguan District,Changchun City,Jilin Province as the research object,the land surface temperature retrieval was conducted from remote sensing Landsat 8 acquired on June 24,2018 based on mono-window algorithm.Combined with the types of land use and land cover,intensity of urban heat island effect is classified.According to which the causes and influencing factors of urban heat island effect are analyzed and put forward suggestions reasonably on the urban planning.The results indicat that urban heat island phenomenon already formed in research area.The relationship between land use type and land surface temperature is that the temperature of non-vegetation-covered area is higher than that of vegetation-covered area,and the water temperature is the lowest.Rigorous heat island effect is distributed in low vegetation coverage.Large areas of water bodies and areas with high green coverage have no heat island effect.In the process of urban development and construction,low-carbon travel,energy conservation and environmental protection should be advocated,and the area of water and green space should be expanded to alleviate urban heat island phenomenon.
作者 韦新东 武姿廷 王锐 WEI Xin-dong;WU Zi-ting;WANG Rui(School of Municipal and Environmental Engineering,Jilin Jianzhu University,Changchun 130118,China;Faculty of Environmental Engineering,the University of Kitakyushu,Kitakyushu 808-0135,Japan)
出处 《吉林师范大学学报(自然科学版)》 2021年第2期134-140,共7页 Journal of Jilin Normal University:Natural Science Edition
基金 日本学术振兴会外国人招聘研究员科学基金项目(JSPS/OF357-S18060)。
关键词 陆地卫星8号 热岛效应 单窗算法 地表温度 土地利用 Landsat 8 heat island effect mono-window algorithm land surface temperature land use
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