基于DCCA的不透水面与温度的长程互相关性研究
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摘要
以江西省寻乌县为研究靶区,运用随机森林算法(Random Forest,RF)提取了研究区不透水面的遥感信息,分析了不透水面与温度的长程互相关性,结果表明二者在F2(s)与s的双对数曲线存在三个无标度区间,且存在两个分界点,反映了二者之间的年代际长程相关性。研究结果以期为城市地表覆盖变化及其气候效应分析提供新的视角和思路。
引文
[1]聂芹.上海市城市不透水面及其热环境效应的分形研究[D].华东师范大学, 2013.
[2] Liang Y, Liu X, Allen MR. Measuring and modeling surface sorption dynamics of organophosphate flame retardants on impervious surfaces[J]. Chemosphere, 2018, 193:754.
[3] Driscoll CT, Whitall D, Aber J, et al. Nitrogen Pollution in the N ortheastern United States:Sources, Effects, and Management Options[J]. Bioscience, 2003, 53(4):357-374.
[4]岳文泽,徐建华,徐丽华.基于遥感影像的城市土地利用生态环境效应研究--以城市热环境和植被指数为例[J].生态学报,2006,26(5):1450-1460.
[5]岳文泽.基于遥感影像的城市景观格局及其热环境效应研究[D].华东师范大学,2005.
[6] Coutts AM, Beringer J, Tapper NJ. Impact of increasing urban density on local climate:spatial and temporal variations in the surface energy balance in Melbourne,Australia[J]. Journal of Applied Meteorology&Climatology,2007, 46(4):477-493.
[7] Breiman L. Random Forests[J]. Machine Learning, 2001, 45(1):5-32.
[8]徐晗泽宇,刘冲,王军邦,等. Google Earth Engine平台支持下的赣南柑橘果园遥感提取研究[J].地球信息科学学报,2018,20(3):396-404.
[9]刘毅,杜培军,郑辉,等.基于随机森林的国产小卫星遥感影像分类研究[J].测绘科学,2012,37(4):198-200.
[10] http://www.xunwu.gov.cn/
[11]刘祖涵.塔里木河流域气候—水文过程的复杂性与非线性研究[D].华东师范大学,2014.
[12] Zuhan Liu, Lili Wang, Xiang Yu, Shengqian Wang,Chengzhi Deng, Jianhua Xu, Zhongsheng Chen, Ling Bai.Multi-scale response of runoff to climate fluctuation in the headwater region of the Kaidu River in Xinjiang of China[J]. Atmospheric Science Letters, 2017, 18(5):230-236.
[13] ShuangQing Liu, ZuHan Liu, WeiGuo Wang, YuePing Lu,XiaoLiang Zhu, Bin Guo. Multifractal process of runoff fluctuation of Kaidu River in Xinjiang of China[J]. Sciences in Cold and Arid Regions, 2018, 10(3):0232-0239.
[2] Liang Y, Liu X, Allen MR. Measuring and modeling surface sorption dynamics of organophosphate flame retardants on impervious surfaces[J]. Chemosphere, 2018, 193:754.
[3] Driscoll CT, Whitall D, Aber J, et al. Nitrogen Pollution in the N ortheastern United States:Sources, Effects, and Management Options[J]. Bioscience, 2003, 53(4):357-374.
[4]岳文泽,徐建华,徐丽华.基于遥感影像的城市土地利用生态环境效应研究--以城市热环境和植被指数为例[J].生态学报,2006,26(5):1450-1460.
[5]岳文泽.基于遥感影像的城市景观格局及其热环境效应研究[D].华东师范大学,2005.
[6] Coutts AM, Beringer J, Tapper NJ. Impact of increasing urban density on local climate:spatial and temporal variations in the surface energy balance in Melbourne,Australia[J]. Journal of Applied Meteorology&Climatology,2007, 46(4):477-493.
[7] Breiman L. Random Forests[J]. Machine Learning, 2001, 45(1):5-32.
[8]徐晗泽宇,刘冲,王军邦,等. Google Earth Engine平台支持下的赣南柑橘果园遥感提取研究[J].地球信息科学学报,2018,20(3):396-404.
[9]刘毅,杜培军,郑辉,等.基于随机森林的国产小卫星遥感影像分类研究[J].测绘科学,2012,37(4):198-200.
[10] http://www.xunwu.gov.cn/
[11]刘祖涵.塔里木河流域气候—水文过程的复杂性与非线性研究[D].华东师范大学,2014.
[12] Zuhan Liu, Lili Wang, Xiang Yu, Shengqian Wang,Chengzhi Deng, Jianhua Xu, Zhongsheng Chen, Ling Bai.Multi-scale response of runoff to climate fluctuation in the headwater region of the Kaidu River in Xinjiang of China[J]. Atmospheric Science Letters, 2017, 18(5):230-236.
[13] ShuangQing Liu, ZuHan Liu, WeiGuo Wang, YuePing Lu,XiaoLiang Zhu, Bin Guo. Multifractal process of runoff fluctuation of Kaidu River in Xinjiang of China[J]. Sciences in Cold and Arid Regions, 2018, 10(3):0232-0239.