基于FY-3B/VIRR数据的济南市城市热岛效应与影响因素分析
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王晗,女,硕士,助理工程师,主要从事生态环境遥感技术应用研究,Wanghannuist@163.com。

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山东省气象局青年科研基金项目(2020SDQN04);山东省自然科学基金面上项目(ZR2020MF130);华东区域气象科技协同创新基金合作项目(QYHZ201815);山东省气象局重点科研项目(2019sdqxz03)


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Analysis of urban heat island effect and impact factors in Jinan City based on FY-3B/VIRR data
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    摘要:

    热岛效应是城市发展过程中的热点社会问题之一。研究以济南为例,基于 FY-3B/VIRR数 据,应用改进型 Becker和 Li “分裂窗” 算法获得遥感地表温度数据;采用热岛强度指数与热岛比例指数,定量分析济南市2013—2020年城市热岛效应的时空变化特征;从自然与社会经济角度,采用灰色关联度分析法,定量评价城市热环境的影响因素对城市热岛效应变化的贡献度。结果表明:1)改进型 Becker和 Li “分裂窗” 算法在济南市有较好应用,与国家级地面气象观测站 “0 cm地表温度” 实测数据线性拟合决定系数 R2 为 0.89。2)热岛区域面积年际变化呈现先增加后减小逐渐平稳的变化趋势,冷岛区域变化特征与热岛区域明显相反。3)夏季热岛区域面积(35.3%)最大,秋季(22.5%)次之,春(11.5%)、冬(10.6%)两季基本持平。4)热岛空间格局以城镇聚合轴为主导驱动,呈现 “点-线” 式空间结构特点。5)热岛比例指数总体呈现下降趋势,2013 年(0.22)与 2014 年(0.24)属较轻热岛年份。6)总人口数与归一化植被指数是影响济南城市热岛效应的主要因素。研究对于加强济南市地表热环境的监测与评价,指导城市规划与生态城市建设具有一定意义。

    Abstract:

    Urban heat island effect is one of the hot social issues in the process of urban development. The study takes Jinan as an example and applies the improved Becker and Li “split window” algorithm to obtain remotely sensed surface temperature data based on FY-3B / VIRR data; the spatial and temporal characteristics of the urban heat island effect in Jinan City from 2013 to 2020 are quantitatively analyzed using the Urban Heat Island Intensity and the Urban Heat Island Proportion Index; from the natural and socio-economic perspectives, gray correlation analysis is used to quantitatively evaluate the contribution of the influencing factors of urban thermal environment to the variations of urban heat island effect. The results are listed as follows: 1) The improved Becker and Li “split window” algorithm is well applied in Jinan City, with a linear fit coefficient of determination R2 of 0.89 to the measured “0 cm surface temperature” data from national weather stations. 2) The interannual variation of the heat island region shows a trend of increasing and then decreasing gradually and smoothly, while the variation characteristics of the cold island region are obviously opposite to those of the heat island region. 3) The urban heat island area in summer ( 35.3% ) is the largest, followed by that in autumn ( 22.5% ) , and those in spring ( 11.5% ) and winter ( 10.6% ) are basically the same. 4) The spatial pattern of the heat island is driven by the town coalescence axis and is characterized by a “point-line” spatial structure. 5) The urban heat island proportion index shows an overall decreasing trend, with a lighter heat island in 2013 ( 0.22 ) and 2014 ( 0.24 ). 6) Total population and normalized vegetation index are the main factors affecting the urban heat island effect in Jinan. The study is of considerable referential importance in strengthening the monitoring and evaluation of the surface thermal environment in Jinan and guiding urban planning and ecological city construction.

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王晗,李峰,王昊,秦泉,赵彤.基于FY-3B/VIRR数据的济南市城市热岛效应与影响因素分析[J].海洋气象学报,2021,41(2):126-137.

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  • 在线发布日期: 2021-09-03
  • 出版日期: 2021-05-31

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