Evaluating methods to quantify sediment volumes trapped behind check dams, Saldaña badlands (Spain)

Ramos-Diez, Iván; Hevia, Joaquín Navarro; Martín, Roberto San; Díaz-Gutiérrez, Virginia; Manso, Jorge Mongil

doi:10.1016/j.ijsrc.2016.06.005

Cited by 29 publications

(38 citation statements)

References 35 publications

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“…The volume is determined using the equations proposed by each geometric figure according to Ramos‐Diez et al . (). More detailed information about the methods can be found in Díaz et al .…”

Section: Methodsmentioning

confidence: 89%

“…The results showed that the SM (Díaz et al ., , ) stands out as the method that provides the best approximation to the real volume of trapped sediment (RV) in a check dam wedge, based on the minimum RMSE (6.41). This study thus supports the conclusions reached when using this method in other studies (Díaz et al ., , ; Ramos‐Diez et al ., , ). In these studies, however, the shape of the gully bed was always a topographic estimation, whereas this issue is definitely solved in the present study.…”

Section: Discussionmentioning

confidence: 97%

“…() found that check dams built in five catchments respectively trapped 4,205; 2,640; 15,000; 1,590; and 1,360 (10 3 t) sediment over 26 years in China. However, these results are sometimes highly conditioned by the method used to determine the volume of trapped sediment (Ramos‐Diez et al ., ) and could be lower or higher than the real value as the results of our study also show.…”

Section: Discussionmentioning

confidence: 99%

“…The results of our study are very meaningful because they show that the results of the sediment volume obtained by other authors who have used some of the less approximated methods over the years in different badland areas (Romero‐Díaz et al ., ; Castillo et al ., ; Boix‐Fayos et al ., ; Nyssen et al ., ; Sougnez et al ., ; Bellin et al ., ; Vanacker et al ., ; Díaz et al ., , ; Zema et al ., ; Quiñonero et al ., ; Ramos‐Diez et al ., , , ) should be reviewed, in most cases, in order to improve the sediment yield rates or, in other cases, to obtain improved values of the sediment trapped by the check dams in the evaluated areas. The results of the volumes obtained in other areas worldwide could also be adjusted to their possible reality so that they could then be compared with one another.…”

Section: Discussionmentioning

confidence: 99%

“…The soils are poorly developed, classified as Entisols, suborder Orthent (USDA, ), with clayey textures (clay >40%) and poor organic matter. Their infiltration rate is low (3 mm h −1 ), and their mean erodibility K‐factor of the USLE is medium (0.039 Mg h MJ −1 mm −1 ) (Ramos‐Diez et al ., ) compared with the mean annual K‐factor in Europe (Panagos et al ., ).…”

Section: Study Areamentioning

confidence: 97%

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Final Analysis of the Accuracy and Precision of Methods to Calculate the Sediment Retained by Check Dams

et al. 2017

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Knowing how much sediment check dams have trapped during their lifespan is essential to estimate their effectiveness or the sediment yields of their basins. Methods to calculate the volume of sediment trapped by check dams play an important role in the understanding of these issues. Several authors have proposed different methods to measure the volume of retained sediment, but their accuracy has, as yet, not been precisely determined and is currently a subject of debate. We compare the most frequently used methods (geometric: prism, pyramid and geometric; topographic: Digital Terrain Models (DTMs), trapezoids and sections methods) to evaluate their accuracy and precision in determining the volume of sediment retained by check dams. Our calculations are based on ten virtual check dams simulated in several gullies of Saldaña (Spain), where we determine their volumetric capacity for trapping sediment (real volume). This was made by means of an intensive topographic survey of these gullies, employing a terrestrial laser scanning system to obtain a high‐resolution digital elevation model (5 × 5 cm, ±2 mm). The results showed that topographic methods provided a very good fit to real volume with a difference of around 8%, being the sections method the most accurate. Geometric methods were less accurate, showing differences of up to 28%. Thus, the results obtained until now by geometric methods should be considered with caution. Although topographic methods were more accurate, they require many field data and much time than the others. So geometric methods can still be useful by correcting their results using our obtained percentage of variation. Knowing the accuracy of the methods before measuring is essential to obtain the most reliable results to analyse the role of check dams in controlling sediment, erosion processes and land degradation. Copyright © 2017 John Wiley & Sons, Ltd.

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Section: Methodsmentioning

confidence: 89%

Section: Discussionmentioning

confidence: 97%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Study Areamentioning

confidence: 97%

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Final Analysis of the Accuracy and Precision of Methods to Calculate the Sediment Retained by Check Dams

et al. 2017

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Variation in the sediment deposition behind check‐dams under different soil erosion conditions on the Loess Plateau, China

Wei

Jiao

et al. 2018

Earth Surf Processes Landf

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To maintain a reasonable sediment regulation system in the middle reaches of the Yellow River, it is critical to determine the variation in sediment deposition behind check‐dams for different soil erosion conditions. Sediment samples were collected by using a drilling machine in the Fangta watershed of the loess hilly–gully region and the Manhonggou watershed of the weathered sandstone hilly–gully (pisha) region. On the basis of the check‐dam capacity curves, the soil bulk densities and the couplet thickness in these two small watersheds, the sediment yields were deduced at the watershed scale. The annual average sediment deposition rate in the Manhonggou watershed (702.0 mm/(km2·a)) from 1976 to 2009 was much higher than that in the Fangta watershed (171.6 mm/(km2·a)) from 1975 to 2013. The soil particle size distributions in these two small watersheds were generally centred on the silt and sand fractions, which were 42.4% and 50.7% in the Fangta watershed and 60.6% and 32.9% in the Manhonggou watershed, respectively. The annual sediment deposition yield exhibited a decreasing trend; the transition years were 1991 in the Fangta watershed and 1996 in the Manhonggou watershed (P < 0.05). In contrast, the annual average sediment deposition yield was much higher in the Manhonggou watershed (14011.1 t/(km2·a)) than in the Fangta watershed (3149.6 t/(km2·a)). In addition, the rainfalls that induced sediment deposition at the check‐dams were greater than 30 mm in the Fangta watershed and 20 mm in the Manhonggou watershed. The rainfall was not the main reason for the difference in the sediment yield between the two small watersheds. The conversion of farmland to forestland or grassland was the main reason for the decrease in the soil erosion in the Fangta watershed, while the weathered sandstone and bare land were the main factors driving the high sediment yield in the Manhonggou watershed. Knowledge of the sediment deposition process of check‐dams and the variation in the catchment sediment yield under different soil erosion conditions can serve as a basis for the implementation of improved soil erosion and sediment control strategies, particularly in semi‐arid hilly–gully regions. Copyright © 2018 John Wiley & Sons, Ltd.

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Post‐fire management effects on sediment (dis)connectivity in Mediterranean forest ecosystems: Channel and catchment response

González-Romero

López‐Vicente

Gómez-Sánchez

et al. 2021

Earth Surf Processes Landf

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Forest fires and post-fire practices influence sediment connectivity (SC). In this study, we use the 'aggregated index of connectivity' (AIC) to assess SC in five Mediterranean catchments (198-1090 ha) affected by a wildfire in 2012 in south-eastern Spain. Two temporal scenarios were considered, immediately after the fire and before post-fire management, and 2 years after the fire including all practices (hillslope barriers, check-dams, afforestation, salvage logging and skid trails). One LiDAR (light detection and ranging)-derived digital elevation model (DEM, 2 m Â 2 m resolution) was generated, per scenario. The five catchment outlets were established as the computation target (AIC OUT ), and structural and functional SC were calculated. Index outputs were normalized to make the results of the non-nested catchments comparable (AIC N-OUT ). The output analysis includes the SC distribution along the catchments and at local scale (929 sub-catchments, 677 in the burned area), the hillslope and channel measures' effect on SC, and a sedimentological analysis using observed area-specific sediment yield (SSY) at 10 new (built after post-fire practices) concrete check-dams located in the catchments (SSY = 1.94 Mg ha À1 yr À1 ; σ = 1.22). The catchments with more circular shapes and steeper slopes were those with higher AIC N-OUT . The structural SC mapsremoving the rainfall erosivity influenceallowed evaluating the actual role played by the post-fire practices that reduced SC (x= À 1.19%; σ = 0.41); while functional SC was linked to the actual change of SC (x= + 5.32%; σ = 0.62). Hillslope treatments resulted in significant changes on AIC N-OUT at sub-catchment scale with certain disconnectivity. A good and positive correlation was found between the SSY and the changes of AIC N-OUT .However, the coarse DEM resolution explained the lack of effect of the rock check-damslocated on the secondary channelson AIC N-OUT . AIC N-OUT proved to be a useful tool for decision making in post-fire restoration, but an optimal input data is still necessary to refine calculations.

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Evaluating methods to quantify sediment volumes trapped behind check dams, Saldaña badlands (Spain)

Cited by 29 publications

References 35 publications

Final Analysis of the Accuracy and Precision of Methods to Calculate the Sediment Retained by Check Dams

Final Analysis of the Accuracy and Precision of Methods to Calculate the Sediment Retained by Check Dams

Variation in the sediment deposition behind check‐dams under different soil erosion conditions on the Loess Plateau, China

Post‐fire management effects on sediment (dis)connectivity in Mediterranean forest ecosystems: Channel and catchment response

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