Dependence of the sediment delivery ratio on scale and its fractal characteristics
规模和它的分数维的特征上的沉积交货比率的依赖作者机构:State Key Laboratory of Simulation and Regulation of Water Cycle in River BasinChina Institute of Water Resources and Hydropower Research National Center of Science and Technology Evaluation China Institute of Water Resources and Hydropower Research
出 版 物:《International Journal of Sediment Research》 (国际泥沙研究(英文版))
年 卷 期:2015年第30卷第04期
页 面:338-343页
核心收录:
学科分类:08[工学] 081502[工学-水力学及河流动力学] 0815[工学-水利工程]
基 金:supported by the National Natural Science Foundation of China(51379008 and 51209232) the Open Research Fund of the State Key Lab of Simulation and Regulation of Water Cycle in River Basin(2014QN04) the China Institute of Water Resources and Hydropower Research,and the Science and Technology Project of the Bureau of Water Resources of Jiangxi Province(KT201404)
主 题:Sediment delivery ratio Soil erosion Sediment delivery Scale Typical watershed unit
摘 要:The sediment delivery ratio(SDR) is an indicator used to determine the capacity for eroded sediment to be delivered to the outlet of a particular *** on systematic reviews of SDR studies in China and abroad during the last 50 years,this study analyzes whether the SDR has scale-dependent characteristics and discusses the fractal characteristics of the *** addition,the SDR in various watersheds in China and abroad showed correlations with temporal and spatial scales,which means that the SDR depends on watershed ***,the SDR can be quantitatively expressed and scaled using fractal dimension under certain temporal and spatial *** a nested watershed,a proposed SDR scale transfer model was constructed using the SDR at a typical watershed unit scale with an area of approximately1 km2(SDR) and a fractal dimension of the SDR at a nested watershed scale(D).This research also points out that the study and calculation of the SDR cannot be correct without considering its scale *** is a valid and useful approach to construct SDR scaling models by using fractal dimension,which could be an interesting research topic regarding SDR scaling in the future.