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Fractal Dimension Features from Catchment BoundaryProfile(CBP)of Small Watersheds in the NorthernShaanxi Province of China
卡米拉123汤国安14杨 昕15那嘉明4熊礼阳5
(1.南京师范大学地理科学学院,江苏 南京 210023)(2.能源与自然资源大学地球科学学院,加纳 苏尼亚尼 214)(3.能源与自然资源大学地球观测研究和创新中心,加纳 苏尼亚尼 214)(4.南京师范大学虚拟地理环境教育部重点实验室,江苏 南京 210023)(5.江苏省地理信息资源开发与利用协同创新中心,江苏 南京 210023)
Kamila Kabo-bah123Tang Guoan14Yang Xin15Na Jiaming4Xiong Liyang5
(1.School of Geography,Nanjing Normal University,Nanjing 210023,China)(2.School of Geosciences,University of Energy and Natural Resources,Sunyani 214,Ghana)(3.Earth Observation Research and Innovation Centre(EORIC),University of Energy and Natural Resou
box countingHiguchiHurstdigital elevation model(DEM)fractal dimension
陕北黄土高原因其独特的地貌特征而成为重要的地貌研究区域. 本文基于先进星载热辐射和反射辐射计(ASTER)30 m空间分辨率的数字高程模型(DEM)数据提取的流域边界剖面线(CBP),评价了陕北黄土高原小流域的分形特征. 通过对比盒计数法(BCM)、Higuchi法(HIG)和Hurst法(HUR)3个分形维数估算模型发现,分维值计算结果略有不同. 其中,BMC和HIG法计算结果更为接近. 当HIG法在某些地方的分维数估值过高时,合计数法表现出更好的一致性和稳定性,适合于陕北黄土高原的分维值估算. 研究发
The Loess Plateau of the Northern Shaanxi Province continues to be an important geomorphological research zone as a result of its history and geology evolution. This paper assessed the fractal properties of Catchment Boundary Profiles(CBP)generated from a 30 m ASTER Digital Elevation Model(DEM)for the study area. Three fractal models were applied:Box Counting,Higuchi and Hurst. The methods showed slight variation of fractal dimension’s(FD)estimates for each CBP,with close estimates between the Box Counting and Higuchi models. The Box counting method was the most consistent and accurate while the Higuchi overestimated in some cases. The FD results shows close similarity with CBP complexity and harmonic behaviour,revealing the fractals sensitivity to changes in geomorphological characteristics irrespective of the size of the object under investigation. The results also closely relate to previous works landform classification and dynamic analysis using other methods. The findings from this research would provide vital information for future land use planning purposes in the region and complement other research interested in the application of fractals for modelling on climate related studies.


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Received data:201`9-03-29.Foundation item:Supported by the National Natural Science Foundation of China(41771415,41930102),the Priority Academic Program Development of Jiangsu Higher Education Institutions(164320H116). Corresponding author:Yang Xin,prof
更新日期/Last Update: 2019-12-31