金属矿区型城镇生态热环境效应分析
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摘要
以安徽铜陵金属矿区城镇为研究区,基于Landsat-8遥感数据,采用辐射传输方程模型反演4个时期的地表温度,并以MOD11A1温度产品数据进行精度验证,开展热效应等级区划及URI指数定量评价,统计分析热度与生态地表参数的相关性。研究结果表明:(1)辐射传输模型法在无地面实测数据情况下反演地表温度精度达到0. 7℃,适用于区域热效应分析;(2)城镇人员密集场所、工业集中区存在明显的热效应现象,其中春夏秋三季城镇热效应面积比例均达到25%左右,冬季热效应不明显;(3)热度与绿度指标正相关,合理提高植被覆盖率可有效改善热效应状况;夏秋两季热度与湿度指标负相关,增加空气含水率可降低城镇热效应;热度与干度指标无明显相关性。
Based on the Landsat-8 remote sensing data,the radiation transfer equation model was used to retrieve the surface temperature of four periods in Tongling metal mining area,Anhui Province,and the precision of the data was verified by the MOD11 A1 temperature product data. The thermal effect grade regionalization and the quantitative evaluation of URI index were carried out,and the correlation between heat intensity and ecological surface parameters was analyzed statistically. The results show that:(1) The accuracy of inversion of surface temperature by radiation transfer model method can not reach 0. 7 ℃ without ground measured data,which is suitable for the analysis of regional thermal effect.(2) There are obvious thermal effects in the densely populated places and industrial concentration areas in cities and towns,The proportion of urban heat effect area in spring,summer and autumn reaches about 25%,while the winter heat effect is not obvious.(3) The heat intensity is positively correlated with the green degree index,and a reasonable increase in vegetation coverage can effectively improve the thermal effect situation. There is a negative correlation between heat and humidity in summer and autumn. Increasing air moisture content can reduce urban heat effect,but there is no significant correlation between heat and dryness.
Based on the Landsat-8 remote sensing data,the radiation transfer equation model was used to retrieve the surface temperature of four periods in Tongling metal mining area,Anhui Province,and the precision of the data was verified by the MOD11 A1 temperature product data. The thermal effect grade regionalization and the quantitative evaluation of URI index were carried out,and the correlation between heat intensity and ecological surface parameters was analyzed statistically. The results show that:(1) The accuracy of inversion of surface temperature by radiation transfer model method can not reach 0. 7 ℃ without ground measured data,which is suitable for the analysis of regional thermal effect.(2) There are obvious thermal effects in the densely populated places and industrial concentration areas in cities and towns,The proportion of urban heat effect area in spring,summer and autumn reaches about 25%,while the winter heat effect is not obvious.(3) The heat intensity is positively correlated with the green degree index,and a reasonable increase in vegetation coverage can effectively improve the thermal effect situation. There is a negative correlation between heat and humidity in summer and autumn. Increasing air moisture content can reduce urban heat effect,but there is no significant correlation between heat and dryness.
引文
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14 Todd S W,Hoffer R M. Responses of spectral indices to variations in vegetation cover and soil background[J]. Photogrammetric Enginerering and Remote Sensing,1998,64(9):915-921
15 Baig M H A,Zhang L,Tong S,et al. Derivation of a tasselled cap transformation based on Landsat 8 at-satellite reflectance[J]. Remote Sensing Letters,2014,5(5):423-431
16 Rikimaru A,Roy P S,Miyatake S. Tropical forest cover density mapping[J]. Tropical Ecology,2002,43(1):39-47
17 Xu H. A new index for delineating built-up land features in satellite imagery[J]. International Journal of Remote Sensing,2008,29(14):4269-4276
18 杨沈斌,赵小艳,申双和,等.基于Landsat TM/ETM+数据的北京城市热岛季节特征研究[J].大气科学学报,2010,33(4):427-435Yang Shenbin,Zhao Xiaoyan,Shen Shuanghe,et al. Characteristics of urban heat island seasonal patternin Beijing basedon Landsat TM/ETM+imagery[J]. Transactions of Atmospheric Sciences,2010,33(4):427-435
19 Melesse A M. Spatiotemporal dynamics of land surface parameters in the Red river of the North basin[J]. Physics&Chemistry of the Earth,2004,29(11):795-810
20 徐涵秋.基于城市地表参数变化的城市热岛效应分析[J].生态学报,2011,31(14):3890-3901Xu Hanqiu. Analysis on urban heat island effect based on the dynamics of urban surface biophysical descriptors[J]. Acta Ecologica Sinica,2011,31(14):3890-3901
21 Xu H,Ding F,Wen X. Urban expansion and heat island dynamics in the Quanzhou region,China[J]. IEEE Journal of Selected Topics in Applied Earth Observations&Remote Sensing,2009,2(2):74-79
22 王永立,范广洲,周定文,等.我国东部地区NDVI与气温、降水的关系研究[J].热带气象学报,2009,25(6):725-732Wang Yongli,Fan Guangzhou,Zhou Dingwen,et al,The study of the relationship between normalized difference vegetation index and both temperature and precipitation in east China[J]. Journal of Tropical Meteorology,2009,25(6):725-732
2 李恒凯,阮永俭,杨柳.离子稀土矿区地表扰动温度分异效应分析——以岭北矿区为例[J].稀土,2017,38(1):134-142LI Hengkai,Ruan Yongjian,Yang Liu. Effects analysis of land disturbance on surface temperature in Ion rare earths mine:A case in lingbei mining area[J]. Chinese Rare Earths,2017,38(1):134-142
3 赵菲菲,包妮沙,吴立新,等.国产HJ-1B卫星数据的地表温度及湿度反演方法——以呼伦贝尔草原伊敏露天煤矿区为例[J].国土资源遥感,2017,29(3):1-9Zhao Feifei,Bao Nisha,Wu Lixin,et al. Retrieving land surface temperature and soil moisture from HJ-1B data:A case study of Yimin open-cast coal mine region in Hulunbeier grassland[J]. Remote Sensing for Land&Resources,2017,29(3):1-9
4 胡文亮,赵萍,董张玉.基于TM数据的煤矿区热环境效应及其生态意义[J].合肥工业大学学报(自然科学版),2010,33(5):741-744Hu Wenliang,Zhao Ping,Dong Zhangyu. Thermal environmental effect of coal mining area and its ecological significance based on TM data[J]. Journal of Hefei University of Technology(Natural Science),2010,33(5):741-744
5 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):741-747Xu Hanqiu. Rtrieval of the reflectance and land surface temperature of the newly-launched Landsat 8 satellit[J]. Chinese Journal of Geophysics,2015,58(3):741-747
6 宋挺,段峥,刘军志,等. Landsat 8数据地表温度反演算法对比[J].遥感学报,2015,19(3):451-464Song Ting,Duan Zheng,Liu Junzhi,et al. Comparison of four algorithms to retrieve land surface temperature using Landsat 8 satellite[J]. Journal of Remote Sensing,2015,19(3):451-464
7 崔林林,李国胜,戢冬建.成都市热岛效应及其与下垫面的关系[J].生态学杂志,2018,37(5):1518-1526Cui Linlin,Li Guosheng,Zhe Dongjian. Heat island effect and its relationship with land use in Chengdu city[J]. Chinese Journal of Ecology,2018,37(5):1518-1526
8 Jimenez-Munoz J C,Sobrino J A. A generalized single-channel method for retrieving land surface temperature from remote sensing data[J]. Journal of Geophysical Research,2003,108(D22):2015-2023
9 Qin Z H,Karnieli A,Berliner P. A mono-window algorithm for retriecing land surface temperature from landsat TM data and Its application to the israel-egypt border region[J]. International Journal of Remote Sensing,2001,22(18):3719-3746
10 吴志刚,江滔,樊艳磊,等.基于Landsat8数据的地表温度反演及分析研究——以武汉市为例[J].工程地球物理学报,2016,13(1):135-142Wu Zhigang,Jiang Tao,Fan Yanlei,et al. Land surface temperature retrieval and result analysis based on Landsat8 data in Wuhan city[J]. Chinese Journal of Engineering Geophysics,2016,13(1):135-142
11 何朝霞.基于缨帽变换和热红外数据的地表温度反演[J].科学技术与工程,2017,17(18):168-174He Zhaoxia. Retrieval of land surface temperature based on thermal infrared data and tasseled cap transformation[J]. Science Technology and Engineering,2017,17(18):168-174
12 胡德勇,乔琨,王兴玲,等.利用单窗算法反演Landsat 8 TIRS数据地表温度[J].武汉大学学报(信息科学版),2017,42(7):869-876Hu Deyong,Qiao Kun,Wang Xingling,et al. Comparison of three single-window algorithms for retrieving land-surface temperature with Landsat 8 TIRS data[J]. Geomatics and Information Science of Wuhan University,2017,42(7):869-876
13 Goward S N,Xue Y,Czajkowski K P. Evaluating land surface moisture conditions from the remotely sensed temperature/vegetation index measurements:An exploration with the simplified simple biosphere model[J]. Remote Sensing of Environment,2002,79(2):225-242
14 Todd S W,Hoffer R M. Responses of spectral indices to variations in vegetation cover and soil background[J]. Photogrammetric Enginerering and Remote Sensing,1998,64(9):915-921
15 Baig M H A,Zhang L,Tong S,et al. Derivation of a tasselled cap transformation based on Landsat 8 at-satellite reflectance[J]. Remote Sensing Letters,2014,5(5):423-431
16 Rikimaru A,Roy P S,Miyatake S. Tropical forest cover density mapping[J]. Tropical Ecology,2002,43(1):39-47
17 Xu H. A new index for delineating built-up land features in satellite imagery[J]. International Journal of Remote Sensing,2008,29(14):4269-4276
18 杨沈斌,赵小艳,申双和,等.基于Landsat TM/ETM+数据的北京城市热岛季节特征研究[J].大气科学学报,2010,33(4):427-435Yang Shenbin,Zhao Xiaoyan,Shen Shuanghe,et al. Characteristics of urban heat island seasonal patternin Beijing basedon Landsat TM/ETM+imagery[J]. Transactions of Atmospheric Sciences,2010,33(4):427-435
19 Melesse A M. Spatiotemporal dynamics of land surface parameters in the Red river of the North basin[J]. Physics&Chemistry of the Earth,2004,29(11):795-810
20 徐涵秋.基于城市地表参数变化的城市热岛效应分析[J].生态学报,2011,31(14):3890-3901Xu Hanqiu. Analysis on urban heat island effect based on the dynamics of urban surface biophysical descriptors[J]. Acta Ecologica Sinica,2011,31(14):3890-3901
21 Xu H,Ding F,Wen X. Urban expansion and heat island dynamics in the Quanzhou region,China[J]. IEEE Journal of Selected Topics in Applied Earth Observations&Remote Sensing,2009,2(2):74-79
22 王永立,范广洲,周定文,等.我国东部地区NDVI与气温、降水的关系研究[J].热带气象学报,2009,25(6):725-732Wang Yongli,Fan Guangzhou,Zhou Dingwen,et al,The study of the relationship between normalized difference vegetation index and both temperature and precipitation in east China[J]. Journal of Tropical Meteorology,2009,25(6):725-732