Modelling water flow and sediment processes in a small gully system on the Loess Plateau in China

Stolte, Jannes; Liu, B.; Ritsema, C.J.; Elsen, Hilke; Hessel, Rudi

doi:10.1016/s0341-8162(03)00060-2

Cited by 46 publications

(25 citation statements)

References 21 publications

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“…A high density of deep and wide gullies, steep slopes and hyperconcentrated flow are three key features of the Loess Plateau, which need to be addressed by soil erosion models (Stolte et al, 2003, Hessel and Jetten, 2007, Hessel, 2006, Poesen et al, 2011. In the selected models, Si's model, Yang's model and the modified WATEM/SEDEM take account of gully erosion (Yang et al, 2012, Si et al, 2015.…”

Section: Accepted Manuscript 22mentioning

confidence: 99%

Comparison of soil erosion models used to study the Chinese Loess Plateau

Holden

et al. 2017

Earth-Science Reviews

147

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The Loess Plateau suffers from severe soil erosion that leads to a series of ecological and economic problems such as reduced land productivity, exacerbated rural poverty, decreased biodiversity and sedimentation of the riverbed in the lower reaches of the Yellow River. Soil erosion models are commonly used on the Loess Plateau to help target sustainable land management strategies to control soil erosion.In this study, we compared eleven soil erosion models that were previously used on the Loess Plateau. We studied their prediction accuracy, process representation, data and calibration requirements, and potential application in scenario studies. The selected models consisted of a broad range of model types, structures and scales.The comparison showed that process-based and empirical models did not necessarily yield more accurate results over one another for the Loess Plateau.Among the process-based models, Si' model, WEPP and MMF had the highest prediction accuracy. However, some of the selected models were tested with total ACCEPTED MANUSCRIPT A C C E P T E D M A N U S C R I P T2 sediment load while others were tested with suspended sediment load (i.e. bedload is not included), which is subject to several drawbacks. Research questions that each of the models can address on the Loess Plateau were suggested. Further improvement of soil erosion models for the Loess Plateau should concentrate on enhancing the quality of data for model implementation and testing, incorporating key processes into process-based models according to their aims and scales, comparing models that address the same research questions, and implementing internal and spatial model testing.

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Section: Accepted Manuscript 22mentioning

confidence: 99%

Comparison of soil erosion models used to study the Chinese Loess Plateau

Holden

et al. 2017

Earth-Science Reviews

147

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“…Check dams can control gully erosion effectively Boix-Fayos et al, 2007). These dams changed channel morphology (Boix-Fayos et al, 2007;Castillo et al, 2007) and affected the hydrological performance of the watershed, as well as soil erosion Stolte et al, 2003). When runoff is impounded, its erosion capability is reduced.…”

Section: Effects Of Wmp On the Relationship Between Runoff And Sedimementioning

confidence: 99%

Effects of watershed management practices on the relationships among rainfall, runoff, and sediment delivery in the hilly-gully region of the Loess Plateau in China

Yan

Lei

Cui³

et al. 2015

Geomorphology

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“…Since the 1950s, much attention has been paid to loess landforms from geological and geomorphological viewpoints. Some scholars investigated the regional variation of soil erosion and the stages of geomorphological developmental of landforms in the Loess Plateau (Stolte et al, 2003;Xu et al, 2004;Cheng et al, 2007;Chen et al, 2008;Zheng et al, 2008;Chen et al, 2010;Hughes et al, 2010;Liu and Liu, 2010;Fu et al, 2011;Zhu, 2012;Xiong et al, 2013). Liu (1985) investigated profiles of loess deposits for the three typical landforms in the Loess Plateau (hill, ridge, and tableland), and found that the sedimentary environment of loess deposits, including the underlying bedrock paleotopography, has been related to climate change.…”

Section: Introductionmentioning

confidence: 99%