Estimation of initiation thresholds and soil loss from gully erosion on unpaved roads on China's Loess Plateau

Zhao, Yiyang; Zhang, Yan; Yuan, Mutian; Yang, Meng; Deng, Jiayong

doi:10.1002/esp.5102

Cited by 27 publications

(20 citation statements)

References 59 publications

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“…The average R L (0.30 m•yr −1 ) in this study was also lower (Table 6) than the gully growth rate in the Moldavian Plateau of Romania, where the topographical characters are similar to the hilly gully region of the Loess Plateau and the higher R L could be owed to the massive deforestation in 1990. Although the gully growth rates in the tableland regions were relatively low, unpaved roads with high erodibility, as the key components of hydrological connectivity [36], could lead to gully growth [56,57]. An unpaved road to the gully head may be the main reason for the largest erosion rate.…”

Section: Long-term Gully Growth Rates In the Tableland Of The Loess P...mentioning

confidence: 99%

Long-Term Gully Erosion and Its Response to Human Intervention in the Tableland Region of the Chinese Loess Plateau

et al. 2021

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The gully erosion process is influenced by both natural conditions and human activities on the tableland region, the Chinese Loess Plateau, which is a densely populated agricultural area with unique topography. For the purpose of assessing long-term gully growth rates, the influencing factors and potential of gully growth, KH-4B satellite images, Quickbird-2 images, and unmanned aerial vehicle (UAV) images were used to assess gully erosion from 1969 to 2019. The effects of runoff, topography and human activities were analyzed with information derived from historical and present images. Ninety-five investigated gullies were classified into four types: 45 growing, 25 stable, 21 infilled and four excavated gullies. The rates (RA) of 45 growing gullies ranged from 0.50 to 20.94 m2·yr−1, with an average of 5.66 m2·yr−1 from 1969 to 2010. The present drainage area, local slope, average drainage slope, annual runoff, and ratio of the terraced area were all significantly different between the stable and growing gullies. The long-term gully growth rate could be estimated using a nonlinear regression model with annual runoff (Qa) and the slope of the drainage area (Sd) as predictors (RA = 0.301Qa0.562Sd, R2 = 0.530). Based on the Sg-A and Sg-Qa relationship that was used to reveal the threshold conditions for gully growth, all growing gullies still have the potential to keep growing, but soil and water conservation measures, including terraces, could change the threshold condition by reducing the effective drainage area. The results of this study could be helpful for preventing further gully erosion by dealing with gullies far above the threshold line.

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Section: Long-term Gully Growth Rates In the Tableland Of The Loess P...mentioning

confidence: 99%

Long-Term Gully Erosion and Its Response to Human Intervention in the Tableland Region of the Chinese Loess Plateau

et al. 2021

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“…Road-related sediment that is routed to water bodies such as lakes and rivers can cause serious damage to the aquatic environment and impair the beneficial uses of surface water resources [ 10 ]. Thus, road erosion should be considered one of the main sediment sources and should be properly evaluated [ 11 , 12 , 13 , 14 ].…”

Section: Introductionmentioning

confidence: 99%

Adapting the WEPP Hillslope Model and the TLS Technology to Predict Unpaved Road Soil Erosion

Wang

Zhang

et al. 2022

IJERPH

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Unpaved road erosion have been recognized as important sediment sources in a watershed. To evaluate where and when road erosion occurs, the soil loss along road segments should be precisely predicted with process-based erosion models. Methods: The hillslope version of the Water Erosion Prediction Project (WEPP) was used to estimate soil loss from 20 typical road segments in the red soil region of South China. Terrestrial laser scanning (TLS)-measured soil losses were used to validate the model simulations. The results showed that the WEPP model could reasonably predict the total soil loss in relatively short (less than 100 m) and gentle (slope gradient lower than 10%) road segments. In contrast, soil loss would be underestimated for long or steep road segments. Detailed outputs along roads revealed that most of the peak soil loss rates were underestimated. It might due to the linear critical shear stress theory in the WEPP model. Additionally, the lack of upstream flow was found to be connected to the relatively low model efficiency. Nevertheless, the WEPP simulation could accurately fit erosion trend and predict the peak soil loss positions along road segments. Conclusions: The WEPP model could be adopted to evaluate the erosion risk of unpaved roads in the red soil region of South China.

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“…The EGEM mode is also used to predict gully width, gully area, and sediment, established by considering rainfall property, Manning coefficient, and catchment area [19]. The development of gully morphology is affected by catchment area [20], topography [21,22], soil texture [23], and land use [16], which results in complex development and difficult prediction [24].…”

Section: Introductionmentioning

confidence: 99%

Morphodynamics of Gully Development on the Platform–Slope System of Spoil Dumps under Platform Concentrated Flow

Bai

Guo

Kang

et al. 2021

Land

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Severe gully erosion on spoil dumps, caused by dense concentrated flow derived from platforms, poses a significant threat to the land management of mining areas. However, little is known about the development processes and mechanisms of gullies on spoil dumps. A flow scouring experiment was conducted on an established platform–slope system under 3.6–5.04 m3 h−1. The soils of the system consisted of a surface sandy loam A layer and anunderlying clay loam B layer. The results showed that the platform exhibited a gully development process of headcut-incision–headcut-expansion–stabilization and the steep slope experienced gully development of A-layer incision–A-layer expansion–B-layer incision–stabilization. The results showed 88.97–100% of Froude Number (Fr) decrement and 47.90–88.97% of Darcy–Weisbach roughness coefficient increment finished in the two incision stages on the steep slope. Gully depth has the most sensitive response to flow hydraulics. A significant linear correlation exists between gully depth and shear stress, runoff power, Fr, and Reynolds Number (R2 > 0.337). Overall, the optimal hydraulic indicator varies within different stages for describing the gully morphology development, illustrating the different action mechanism between flow hydraulics and gully morphology. Our findings provide a theoretical support for future mechanistic studies of gully erosion and the land management on spoil dump.

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Estimation of initiation thresholds and soil loss from gully erosion on unpaved roads on China's Loess Plateau

Cited by 27 publications

References 59 publications

Long-Term Gully Erosion and Its Response to Human Intervention in the Tableland Region of the Chinese Loess Plateau

Long-Term Gully Erosion and Its Response to Human Intervention in the Tableland Region of the Chinese Loess Plateau

Adapting the WEPP Hillslope Model and the TLS Technology to Predict Unpaved Road Soil Erosion

Morphodynamics of Gully Development on the Platform–Slope System of Spoil Dumps under Platform Concentrated Flow

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