Hydraulic-based empirical model for sediment and soil organic carbon loss on steep slopes for extreme rainstorms on the Chinese loess Plateau
Liu, Lin1,5; Li, Zhongwu1,2; Nie, Xiaodong1,2; He, Jijun3; Huang, Bin4; Chang, Xiaofeng1; Liu, Chun1,2; Xiao, Haibing1; Wang, Danyang2
2017-09-22
发表期刊Journal of Hydrology
ISSN0022-1694
期号554页码:600–612
摘要
Building a hydraulic-based empirical model for sediment and soil organic carbon (SOC) loss is significant because of the complex erosion process that includes gravitational erosion, ephemeral gully, and gully erosion for loess soils. To address this issue, a simulation of rainfall experiments was conducted in a 1 m  5 m box on slope gradients of 15, 20, and 25 for four typical loess soils with different textures, namely, Ansai, Changwu, Suide, and Yangling. The simulated rainfall of 120 mm h1 lasted for 45 min. Among the five hydraulic factors (i.e., flow velocity, runoff depth, shear stress, stream power, and unit
stream power), flow velocity and stream power showed close relationships with SOC concentration, especially the average flow velocity at 2 m from the outlet where the runoff attained the maximum sediment load. Flow velocity controlled SOC enrichment by affecting the suspension–saltation transport associated with the clay and silt contents in sediments. In consideration of runoff rate, average flow velocity at 2 m location from the outlet, and slope steepness as input variables, a hydraulic-based sediment and SOC loss model was built on the basis of the relationships of hydraulic factors to sediment and SOC loss. Nonlinear regression models were built to calculate the parameters of the model. The difference between the effective and dispersed median diameter (dD50) or the SOC content of the original soil served as the independent variable. The hydraulic-based sediment and SOC loss model exhibited good performance for the Suide and Changwu soils, that is, these soils contained lower amounts of aggregates than those of
Ansai and Yangling soils. The hydraulic-based empirical model for sediment and SOC loss can serve as an important reference for physical-based sediment models and can bring new insights into SOC loss prediction when serious erosion occurs on steep slopes.
关键词Soc Loss Soil Erosion Simulated Rainfall Hydraulic Factor Model
学科领域Soil Science
DOI10.1016/j.jhydrol.2017.09.010
收录类别SCI
语种英语
所属项目编号41271294
出版者ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
项目资助者This study was financially supported by the "Hundred-Talent Project" of the Chinese Academy of Sciences and the National Natural Science Foundation of China(41271294).
引用统计
文献类型期刊论文
条目标识符sbir.nwafu.edu.cn/handle/361005/8154
专题水保所2018--2022届毕业生论文(学位论文、期刊论文)
作者单位1.State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation, CAS and MWR, Yangling, Shaanxi Province 712100, PR China
2.College of Environmental Science and Engineering, Hunan University, Changsha 410082, PR China
3.Base of the State Laboratory of Urban Environmental Processes and Digital Modeling, Key Laboratory of 3D Information Acquisition and Application, Ministry of Education, Capital Normal University, Beijing 100048, PR China
4.Guangdong Key Laboratory of Agricultural Environmental Pollution Integrated Control, Guangdong Institute of Eco-environment Technology, Guangzhou 510650, PR China
5.Graduate University of Chinese Academy of Sciences, Beijing 100049, PR China
推荐引用方式
GB/T 7714
Liu, Lin,Li, Zhongwu,Nie, Xiaodong,et al. Hydraulic-based empirical model for sediment and soil organic carbon loss on steep slopes for extreme rainstorms on the Chinese loess Plateau[J]. Journal of Hydrology,2017(554):600–612.
APA Liu, Lin.,Li, Zhongwu.,Nie, Xiaodong.,He, Jijun.,Huang, Bin.,...&Wang, Danyang.(2017).Hydraulic-based empirical model for sediment and soil organic carbon loss on steep slopes for extreme rainstorms on the Chinese loess Plateau.Journal of Hydrology(554),600–612.
MLA Liu, Lin,et al."Hydraulic-based empirical model for sediment and soil organic carbon loss on steep slopes for extreme rainstorms on the Chinese loess Plateau".Journal of Hydrology .554(2017):600–612.
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