2020
DOI: 10.1177/0309133320961274
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Modeling soil erosion between 1985 and 2014 in three watersheds on the carbonate-rock dominated Guizhou Plateau, SW China, using WaTEM/SEDEM

Abstract: The Guizhou Plateau, SW China is largely underlain by carbonate rocks. Because soils are thin, soil loss remains a serious problem despite low erosion rates. Further understanding the impacts of changes in rainfall, land use and differences in topography on sediment yield and delivery may assist in the development of suitable policies to reduce soil erosion on the plateau. A spatially distributed soil erosion and sediment delivery model (WaTEM/SEDEM) was applied to investigate temporal–spatial changes in soil … Show more

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Cited by 5 publications
(3 citation statements)
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“…The optimal values were 4 for ktc-high and 1.2 for ktc-low, attributing a model efficiency of 0.72 for the NSE statistic index. Previous WaTEM/SEDEM model applications reported a model efficiency (NSE) range between 0.14 and 0.89 [10,47,[101][102][103][104][105]. According to previous researches, NSE values of 0.55 and higher indicate good model performance, and the simulated values are generally acceptable [106][107][108].…”
Section: Model Calibrationmentioning
confidence: 99%
“…The optimal values were 4 for ktc-high and 1.2 for ktc-low, attributing a model efficiency of 0.72 for the NSE statistic index. Previous WaTEM/SEDEM model applications reported a model efficiency (NSE) range between 0.14 and 0.89 [10,47,[101][102][103][104][105]. According to previous researches, NSE values of 0.55 and higher indicate good model performance, and the simulated values are generally acceptable [106][107][108].…”
Section: Model Calibrationmentioning
confidence: 99%
“…The ambiguity in OC origin can be reduced if the spatial distribution of erosion prone areas and their likely connection to the streams can be identified. Net catchment erosion can be modelled using sediment delivery models (e.g., WaTEM/SEDEM (Van Oost et al 2000;Van Rompaey et al 2001;Verstraeten et al 2002)); however, accurate predictions for these models require calibration, commonly carried out using outlet sediment yield data (Krasa et al 2019;Luo et al 2021). However, sediment yield data are not available for many catchments, and are usually only available at the catchment outlet.…”
mentioning
confidence: 99%
“…The key regulation service is soil conservation, which is considered by another two contributions to this special issue. Luo et al (2021) identify the effect of topography on soil erosion. Because of the specific lithology in the karst region, the topography is characterized by steep slopes, and dry farmland on steep slopes was studied from the point of view of soil erosion.…”
mentioning
confidence: 99%