引用本文:赵文慧,李令军,鹿海峰,王新辉,邱昀.基于卫星遥感的京津冀热环境效应分析[J].环境监控与预警,2019,11(5):72-79
ZHAO Wen-hui, LI Ling-jun, LU Hai-feng, WANG Xin-hui, QIU Yun.Research on Thermal Environment Effect of the Beijing Tianjin Hebei Region and Air Pollution Based on Remote Sensing[J].Environmental Monitoring and Forewarning,2019,11(5):72-79
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基于卫星遥感的京津冀热环境效应分析
赵文慧,李令军,鹿海峰,王新辉,邱昀
北京市环境保护监测中心大气颗粒物监测技术北京市重点实验室,北京 100048
摘要:
为探究北京城区和京津冀城市群等不同尺度上地表热环境时空格局变化以及与大气污染和污染排放的关系,利用Landsat -5&8、Terra MODIS和Aura卫星上OMI等多期数据,采用普适性单窗算法反演了不同区域的地表温度强度,并结合京津冀重点行业NOX排放量和区域NO2柱浓度空间分布数据,分析了2001—2016年北京及京津冀地区大气污染、能源消耗和城市热力格局之间的关系。结果表明:北京市热岛分布具有显著的地域性,高地表温度与相对较低地表温度集聚与相间分布并存,建成区城市热岛效应明显;2001—2016年随着城市的快速发展,城区快速向外蔓延,北京城市的热场强度逐年加强,范围逐年向东、向南扩大;热岛高强度范围与NO2高污染区、NOX高排放区有较好的一致性,热岛强度的分布特征有助于大气污染物“热量”网络的规划,卫星热红外遥感可提供必要的技术支撑。
关键词:  地表温度  热岛强度  时空格局  能源消耗量  大气污染  京津冀
DOI:
分类号:X87
文献标识码:A
基金项目:国家重点研发计划基金资助项目(2018YFC0706004);国家重点研发计划基金资助项目(2017YFC0209903)
Research on Thermal Environment Effect of the Beijing Tianjin Hebei Region and Air Pollution Based on Remote Sensing
ZHAO Wen-hui, LI Ling-jun, LU Hai-feng, WANG Xin-hui, QIU Yun
Beijing Key Laboratory of Airborne Particulate Matter Monitoring Technology,Beijing Municipal Environmental Monitoring Center, Beijing 100048, China
Abstract:
To expolre the spatial and temporal pattern of surface thermal environment and its relationship with air pollution and pullution emissions at different scales in Beijing urban area and Beijing-Tianjin-Hebei urban agglomeration, by using Landsat-5 & 8, Terra MODIS and OMI data on the Aura satellite, the surface temperature intensity in different regions was retrieved by the universal single window algorithm, the change of urban thermal pattern in Beijing, Beijing, Tianjin and Hebei from 2001 to 2016 is analyzed. Further analysis of the relationship between air pollution, energy consumption and urban thermal pattern in North China from 2001 to 2016 was carried out. The results show that: The distribution of heat island in Beijing has obvious regionality. High surface temperature and low surface temperature agglomeration coexist and interphase distribution. The urban heat island effect in built-up areas is obvious. From 2001 to 2016, with the rapid development of the city, the large-scale growth of urban and rural construction land, and the rapid outward spread of urban and rural areas, the heat field intensity of Beijing city is increasing year by year, and the scope is expanding eastward and southward year by year. The high intensity range of heat island is in good agreement with the high pollution area of NO2 and the high emission area of nitrogen oxides in Beijing, Tianjin and Hebei. Distribution characteristics of heat island intensity are helpful to the planning of atmospheric pollutant “heat” network. Thermal infrared remotely sensed data can provide necessary technical support.
Key words:  Surface temperature  Heat island intensity  Spatial and temporal patterns  Energy consumption  Air pollution  Beijing Tianjin Hebei region