Erratum to “Sediment yield and erosion rate estimation in the mountain catchments of the Camastra artificial reservoir (Southern Italy): A comparison between different empirical methods” [Catena 127 (2015) 323–339]

CATENA ◽  
2016 ◽  
Vol 139 ◽  
pp. 272-273 ◽  
Author(s):  
M. Lazzari ◽  
D. Gioia ◽  
M. Piccarreta ◽  
M. Danese ◽  
A. Lanorte
2012 ◽  
Vol 518-523 ◽  
pp. 4504-4509
Author(s):  
Lu Zhang ◽  
Yuee Chen ◽  
Qing Wu

It was important to explore the law of water and sediment reduction of loess slope in different grass coverage for carrying out the grass construction and controlling slope erosion in the Loess Plateau. Using the tests of outside artificially runoff erosion simulation, in the condition of 5L/min of the scouring flows, we conducted a pilot study of sediment yield, erosion rates, and runoff sediment concentration in three different slope conditions of 15°, 20°, 25° and three grass coverage conditions of bare slope, 30%~40% and 70%~80%. The results showed that: the grass coverage has significantly influences on sediment yield, erosion rate and runoff sediment concentration of loess slope. Sediment yield of loess slope with grass coverage of 70 ~ 80% is less than 10% of that of bare slope. Under the same conditions of gradient and grass coverage, the sediment yield and runoff sediment concentration had a direct proportion with the scouring flow. Under the same conditions of gradient and scouring flows, the erosion rate and runoff sediment yield of loess slope are basically the same. Grass has a significant role in enhancing resistance to corrosion of soil and reducing erosion of loess slope.


2012 ◽  
Vol 55 (3) ◽  
pp. 785-798 ◽  
Author(s):  
S. Abd Aziz ◽  
B. L. Steward ◽  
A. Kaleita ◽  
M. Karkee

2016 ◽  
Vol 7 (13) ◽  
pp. 208-193 ◽  
Author(s):  
حسن فتحی زاد ◽  
حاجی کریمی ◽  
محسن توکلی ◽  
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...  

2021 ◽  
Author(s):  
Arega Degife ◽  
Hailu Worku ◽  
Shumete Gizaw

Abstract Background: Assessing soil erosion, sediment yield and sediment retention capacity of watersheds is one of the under researched areas in watersheds of developing countries like Lake Hawassa watershed. The study examined soil erosion, sediment yield and sediment retention and their environmental implications in Lake Hawassa watershed. The quantification and mapping was carried out using Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model. Data such as Land Use Land Cover (LULC), Digital Elevation Model (DEM), rainfall, soil, and management practice were used as input parameters.Results: The empirical analysis confirmed that the watershed has a total soil loss of about 5.27 Mt annually. The mean annual erosion rate from the watershed was estimated to be 37 t ha-1 yr-1. The estimated erosion rate was greater than the maximum tolerable erosion limit in Ethiopia (2-18 t ha-1 yr-1). The total amount of sediment which was exported to the nearby streams and lakes in the watershed was estimated to be 1.6 t ha-1 yr-1. The water bodies receive a total of 226,690.3 t of sediment annually. Although higher soil loss and sediment export per unit of area were estimated from the highest slope gradients, greater contributions to the total soil loss and sediment export were computed from slopes with 5-30% gradients. In terms of LULC, the highest contribution to the total soil loss was computed from cultivated land while the highest rate of soil loss per hectare was observed from bare land. Due to the existing vegetative cover, a total of 18.65 Mt (130.7 t ha-1 yr-1) of sediment was retained. Vegetation-covered LULCs such as forest, woodland, shrub land, and agroforestry revealed the highest sediment retention capacity. As a result of the increasing soil erosion and sediment yield in the watershed, a drying of a small lake and the rise in the water level of Lake Hawassa were identified. Conclusion: Most of the soil loss and sediment yield were contributed by small part of the watershed. Thus, the results underscore the urgent need for targeted soil and water conservation measures of various types to ensure sustainability of the watershed resources.


2021 ◽  
Author(s):  
Kunihito Mihara ◽  
Kanta Kuramochi ◽  
Ryusuke Hatano

<p>Introduction</p><p>Accelerated erosion by human activities leads to degradation of soil ecosystem services and aquatic environment. It is unavoidable issue in Japan because it holds many sloped agricultural lands. Tokoro river watershed, TRW, in eastern Hokkaido, Japan has unique climate characterized with the least precipitation in Japan and cold winter with little snow which induces soil freezing. Frozen subsoil forms impermeable layers to increase surface runoff in early spring. The objectives of this study were i) to understand the spatial and seasonal variation of water and sediment movement in TRW using Soil and Water Assessment Tool, SWAT which is a process-based hydrological model and ii) to evaluate the impact of agricultural activities, topography of agricultural lands, and runoff characteristics on soil erosion through identification of highly erosive areas and seasons based on the simulation output.</p><p>Materials and methods</p><p>Water and sediment movement in TRW was simulated from 2011/1/1 to 2015/12/31. SWAT calculates water and sediment movement processes using spatial and temporal information of topography, land use, soil, weather, and land management in watershed. TRW was delineated into 17 subbasins based on topographic information and further divided into 764 HRUs which had homogenous combination of slope class, soil type, and land use in each subbasin. On-land processes were calculated in each HRU. After water and sediment yield from HRUs were summed in each subbasin, stream routing processes were calculated. Model parameters were calibrated so that the estimated stream flow and sediment load at the outlet would fit the measurements. From the simulation by the calibrated model, outputs were extracted as follows: 1) Contribution to the gross sediment yield and erosion rate of each land use; 2) Erosion rate of each subbasin; 3) Erosion rate of whole watershed on each month; and 4) Surface runoff and percentage of surface runoff in water yield in each month.</p><p>Results and Discussions</p><p>Calibrated SWAT reproduced well the fluctuation of stream flow and sediment load at the outlet of TRW. Although the model underestimated sediment load during large flood events with the average estimation error of -16.1±5.4% on peak-discharge months, it showed satisfactory performance with coefficient of determination: R<sup>2</sup>=0.88, Nash-Sutcliffe efficiency coefficient: Ens=0.86, and percentage of bias: PBIAS=0.34% for monthly sediment load estimation. Agricultural lands which covered 17.6% of the watershed were considered as the primary sediment sources contributing to 68.5% of estimated gross sediment yield of the watershed. Spatial variation of estimated erosion rate showed high sediment yield in the middle- and down-stream area of TRW where agricultural activities were intensive, and higher sediment yield particularly in the area where more agricultural lands had steep slopes (more than 51 t km<sup>-2</sup> yr<sup>-1</sup>). Monthly erosion rate estimation indicated that the most severe erosion occurred on March and April (6.9±1.4 and 7.3±1.9 t km<sup>-2</sup> mon<sup>-1</sup> respectively). On March, average percentage of surface runoff was estimated as 90.5±6.5%. Therefore, surface runoff in early snowmelt season when the frozen subsoil prevented infiltration was considered as an important driver of soil erosion.</p>


2013 ◽  
Vol 44 (2s) ◽  
Author(s):  
Ossama M.M. Abdelwahab ◽  
Tiziana Bisantino ◽  
Fabio Milillo ◽  
Francesco Gentile

The AnnAGNPS model was used to estimate runoff, peak discharge and sediment yield at the event scale in the Carapelle watershed, a Mediterranean medium-size watershed (506 km2) located in Apulia, Southern Italy. The model was calibrated and validated using five years of runoff and sediment yield data measured at a monitoring station located at Ordona – Ponte dei Sauri Bridge. A total of 36 events was used to estimate the output of the model during the period 2007-2011, in comparison to the corresponding observations at the watershed outlet. The model performed well in predicting runoff, as was testified by the high values of the coefficients of efficiency and determination during the validation process. The peak flows predictions were satisfactory especially for the high flow events; the prediction capability of sediment yield was good, even if a slight over-estimation was observed. Finally, the model was used to evaluate the effectiveness of different Management practices (MPs) on the watershed (converting wheat to forest, using vegetated streams, crop rotation corn/soybean, no tillage). While the maximum reduction in sediment yield was achieved converting wheat to forest, the best compromises between soil conservation and agriculture resulted to be crop rotations.


2003 ◽  
Vol 14 (4) ◽  
pp. 389-408 ◽  
Author(s):  
Paolo Porto ◽  
Des E. Walling ◽  
Vito Ferro ◽  
Costanza di Stefano

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