谢启姣,欧阳钟璐

• 1:湖北大学资源环境学院

摘要(Abstract)：

针对目前城市建设与地表热岛效应定量关系尚不明确的问题,该文利用Landsat遥感影像反演武汉主城区地表温度(LST)、提取不透水面率(ISA)值,并将ISA值按照一定阈值划分城市建设密度,探讨不同城市建设密度水平下热岛强度的变化;构建平均ISA与LST间的数量关系,明确城市热环境特征对城市建设的定量响应。结果表明:①1987—2016年间武汉主城区发展迅速,城市高密度建设范围从1987年的130.0 km~2增加到2016年的366.9 km~2,29年间增加了188.2%;②不同建设密度用地表现出不同程度的热岛强度,高密度、中密度和低密度建设水平对应的热岛强度分别为2.72～8.39℃,2.02～5.69℃和0.92～3.82℃;③LST与平均ISA呈现出明显的正向线性关系,两者拟合方程的系数为0.853～0.942;城市建设水平能很好地解释城市地表温度的空间变化,平均ISA每增加10%,地表温度上升0.35～0.85℃。

关键词(KeyWords)： 城市建设;热环境特征;热岛效应;定量

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金青年项目(41401186);; 湖北省自然科学基金面上项目(2019CFB538)

作者(Author): 谢启姣,欧阳钟璐

DOI: 10.16251/j.cnki.1009-2307.2020.08.022

参考文献(References)：

• [1] TANG Z,SHI C B,BI K X.Impacts of land cover change and socioeconomic development on ecosystem service values[J].Environmental Engineering and Management Journal,2014,13:2697-2705.
• [2] FREY C M,PARLOW E.Flux measurements in Cairo.Part 2:on the determination of the spatial radiation and energy balance using ASTER satellite data[J].Remote Sensing,2012,4:2635-2660.
• [3] MOHAN M,KANDYA A.Impact of urbanization and land-use/land-cover change on diurnal temperature range:a case study of tropical urban airshed of India using remote sensing data[J].Science of the Total Environment,2015,506/507:453-465.
• [4] NONOMURA A,KITAHARA M,MASUDA T.Impact of land use and land cover changes on the ambient temperature in a middle scale city,Takamatsu,in Southwest Japan[J].Journal of Environmental Management,2009,90(11):3297-3304.
• [5] 刘航,申格,黄青.近10 a武汉市城市热岛效应演变及其与土地利用变化的关系[J].长江流域资源与环境,2017,26(9):1466-1475.(LIU Hang,SHEN Ge,HUANG Qing.Evolution of urban heat island effect and its relationship with land use change in Wuhan city in recent 10 years[J].Resources and Environment in the Yangtze Basin,2017,26(9):1466-1475.)
• [6] 岳文泽,徐建华.上海市人类活动对热环境的影响[J].地理学报,2008,63(3):247-256.(YUE Wenze,XU Jianhua.Impact of human activities on urban thermal environment in Shanghai[J].Acta Geographica Sinica,2008,63(3):247-256.)
• [7] CONNORS J P,GALLETTI C S,CHOW W T L.Landscape configuration and urban heat island effects:assessing the relationship between landscape characteristics and land surface temperature in Phoenix,Arizona[J].Landscape Ecology,2013,28(2):271-283.
• [8] 陈明辉,陈颖彪,郭冠华,等.东莞市城市热环境时空变化及其驱动机制[J].地理研究,2011,30(8):1431-1438.(CHEN Minghui,CHEN Yingbiao,GUO Guanhua,et al.Temporal and spatial changes of urban thermal environment and driving mechanism in Dongguan city[J].Geographical Research,2011,30(8):1431-1438.)
• [9] XIONG Y Z,HUANG S P,CHEN F,et al.The impacts of rapid urbanization on the thermal environment:a remote sensing study of Guangzhou,South China[J].Remote Sensing,2012,4:2033-2056.
• [10] CARLSON T N.Land use and impervious surface area change by county in Pennsylvania(1985-2000)as interpreted quantitatively by means of satellite imagery[J].The Open Geography Journal,2012,5(1):68-77.
• [11] ESSA W,VAN DER KWAST J,VERBEIREN B,et al.Downscaling of thermal images over urban areas using the land surface temperature-impervious percentage relationship[J].International Journal of Applied Earth Observation and Geoinformation,2013,23(23):95-108.
• [12] XIE Q J,ZHOU Z X.Impact of urbanization on urban heat island effect based on tm imagery in Wuhan,China[J].Environmental Engineering and Management Journal,2015,14(3):647-655.
• [13] 谢启姣.城市热岛演变及其影响因素研究[D].武汉:华中农业大学,2011.(XIE Qijiao.Urban heat island effect change and the major affecting variables analysis[D].Wuhan:Huazhong Agriculture University,2011.)
• [14] 易予晴,龙腾飞,焦伟利,等.武汉城市群夏季热岛特征及演变[J].长江流域资源与环境,2015,24(8):1279-1285.(YI Yuqing,LONG Tengfei,JIAO Weili,et al.Characteristics and evolution of the summer heat island effect in Wuhan city group[J].Resources and Environment in the Yangtze Basin,2015,24(8):1279-1285.)
• [15] CHANDER G,MARKHAM B.Revised Landsat-5 TM radiometric calibration procedures and post calibration dynamic ranges[J].IEEE Transactions on Geoscience and Remote Sensing,2003,41(11):2674-2677.
• [16]徐涵秋.新型Landsat 8卫星影像的反射率和地表温度反演[J].地球物理学报,2015,58(3):741-747.(XU Hanqiu.Retrieval of the reflectance and land surface temperature of the newly-launched Landsat 8satellite[J].Chinese Journal of Geophysics,2015,58(3):741-747.)
• [17]CHAVEZ P S.Image-based atmospheric correctionsrevisited and improved[J].Photogrammetric Engineering and Remote Sensing,1996,62(1):1025-1036.
• [18]VAN DE GRIEND A A,OWE M.On the relationship between thermal emissivity and the normalized difference vegetation index for nature surfaces[J].International Journal of Remote Sensing,1993,14(6):1119-1131.
• [19]SOBRINO J A,JIMENE-MUNOZ J C,PAOLINI L.Land surface temperature retrieval from LANDSAT TM5[J]. Remote Sensing of Environment,2004,90(4):434-440.
• [20]JIMENEZ-MUNOZ J C,SOBRINO J A,SKOKOVIC D,et al.Land surface temperature retrieval methods from Landsat-8thermal infrared sensor data[J].IEEE Geoscience and Remote Sensing Letters,2014,11(10):1840-1843.
• [21]CARLSON T N,RIPLEY D A. On the relation between NDVI,fractional vegetation cover,and leaf area index[J].Remote Sensing of Environment,1997,62(3):241-252.
• [22]ZHANG Y S,ODEH INAKWU O A,HAN C F.Bitemporal characterization of land surface temperature in relation to impervious surface area,NDVI and NDBI,using a sub-pixel image analysis[J].Int J Appl Earth Obs,2009,11(4):256-264.
• [23]ESTOQUE R C,MURAYAMA R J,MYINT S W.Effects of landscape composition and pattern on land surface temperature:an urban heat island study in the megacities of Southeast Asia[J].Science of the Total Environment,2017,577:349-359.