Laboratory experiments of sediment transport from bare soil with a rill

Aksoy, Hafzullah; Ünal, N. Erdem; Çokgör, Şevket; Gedikli, Abdullah; Yoon, Jaeyoung; Koca, Kaan; Inci, S. Boran; Eriş, Ebru; Pak, Gijung

doi:10.1080/02626667.2013.824085

Cited by 24 publications

(15 citation statements)

References 37 publications

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“…Among others, they are highly influenced by the erosivity factor of the rain, which has a significant effect on soil erosion rates by water. The different rain characteristics could lead to different process intensities, thus leading to variable erosion rates (Ran et al, 2012;Aksoy et al, 2013). The most important characteristics of a certain rainfall are the spatial rainfall distribution, drop size distribution, falling velocity and, as a consequence, the kinetic energy or the momentum of the raindrops.…”

Section: Introductionmentioning

confidence: 99%

The Wageningen Rainfall Simulator: Set‐up and Calibration of an Indoor Nozzle‐Type Rainfall Simulator for Soil Erosion Studies

et al. 2015

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The set‐up and characterisation of an indoor nozzle‐type rainfall simulator (RS) at Wageningen University, the Netherlands, are presented. It is equipped with four Lechler nozzles (two nr. 460·788 and two nr. 461·008). The tilting irrigation plot is 6 m long and 2·5 m wide. An electrical pump supplies the constant flow during the experiments. The spatial distribution of the rainfall was measured with 60 rain gauges equally distributed on the experimental plot. Thies® Laser Precipitation Monitor was used to measure the size and falling velocity of the raindrops. Four different flow rates were applied (Q1–4). From the collected data, spatial rainfall intensity and spatial kinetic energy distribution maps were created; Christiansen uniformity coefficient was calculated for each flow rate. The results of the experiments revealed that the rainfall parameters (spatial rainfall intensity, kinetic energy, raindrop size distribution and fall velocity) in the RS are not homogeneous (Christiansen uniformity ranges from 68·5% to 83·2%). Accordingly, the whole plot can only be irrigated irregularly applying a wide range of intensities and rainfall energies. The RS offers a good opportunity to study great variety of process intensities such as splash erosion, runoff generation, soil aggregate stability, organic matter migration and scaled landscape development. Copyright © 2015 John Wiley & Sons, Ltd.

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Section: Introductionmentioning

confidence: 99%

The Wageningen Rainfall Simulator: Set‐up and Calibration of an Indoor Nozzle‐Type Rainfall Simulator for Soil Erosion Studies

et al. 2015

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“…While developing sediment transport models, parameterization of the model becomes an obstacle for creating detailed models as a higher number of parameters is then required. Data are needed either from the field or in the laboratory (AKSOY et al, 2013). These recall the simple practice of the rating curve established between the flow and sediment discharges (BENKHALED and REMINI, 2011;BOUANANI et al, 2013;KHANCHOUL and BOUKHRISSA, 2011).…”

Section: Modelling Of Sediment Transportmentioning

confidence: 99%

“…Therefore, sediment transport models should take into account the rill-interrill interaction on a hillslope (AKSOY et al, 2013).…”

Section: Modelling Of Sediment Transportmentioning

confidence: 99%

Relationships among man, environment and sediment transport

Mahé

Aksoy

Brou

et al. 2013

rseau

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In the Mediterranean the environment is under pressure from agricultural and urban development, changes in agricultural practices and international markets, and climate change. Moreover, many studies show a steady increase in the agro-pastoral pressure and land degradation and their impacts on water resources and soil, and ultimately the lives of local people. But few studies address these issues across the inclusive scale of large river basins. The conference held at Tipaza in Algeria, from which come several papers published in the Journal of Water Science in 2013, was intended to reflect on the topics, methods and tools available to study the relationships among humans, the environment and sediment transport at this large scale, with the result expected to improve the potential for dialogue between researchers and developers who make decisions for regional macro surfaces. The topics discussed at the conference that appear in the articles published here concern the factors responsible for the variability of sediment transport: climate change and anthropogenic changes, such as agricultural activity and water projects; relationships between land-cover/land-use, rainfall-runoff processes and sediment transport; modeling of sediment transport; and the interest of a multi-scale approach, predominantly a spatial one, for addressing the geographical realities of large basins and scale transfer issues, particularly in Mediterranean and semi-arid areas.

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“…In other words, they are effective only when the laboratory (or field) experiments from which they are derived are satisfied (Aksoy and Kavvas, ). These models mostly relate sediment rate to one or higher number of variables such as run‐off rate, bed slope, rainfall intensity and sediment particle diameter (Meyer and Wischmeier, ; Kilinc and Richardson, ; Foster, ; Julien and Simons, ; Gilley et al ., ; Zhang et al ., ; Grismer, ; Aksoy et al ., ; ). They require the measurements of the flow rates from land surfaces to be able to make good estimates of sediment loads.…”

Section: Introductionmentioning

confidence: 99%

Prediction of rainfall runoff‐induced sediment load from bare land surfaces by generalized regression neural network and empirical model

Tayfur

Aksoy

Eriş

2018

Water & Environment J

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Based on three rainfall run‐off‐induced sediment transport data for bare surface experimental plots, the generalized regression neural network (GRNN) and empirical models were developed to predict sediment load. Rainfall intensity, slope, rainfall duration, soil particle median diameter, clay content of the soil, rill density and soil particle mass density constituted the input variables of the models while sediment load was the target output. The GRNN model was trained and tested. The GRNN model was found successful in predicting sediment load. Sensitivity analysis by the GRNN model revealed that slope and rainfall duration were the most sensitive parameters. In addition to the GRNN model, two empirical models were proposed: (1) in the first empirical model, all the input variables were related to the sediment load, and (2) in the second empirical model, only rainfall intensity, slope and rainfall duration were related to the sediment load. The empirical models were calibrated and validated. At the calibration stage, the coefficients and the exponents of the empirical models were obtained using the genetic algorithm optimization method. The validated empirical models were also applied to two more experimental data sets: (1) one data set was from a field experiment, and (2) one set was from a laboratory experiment. The results indicated the success of the empirical models in predicting sediment load from bare land surfaces.

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Laboratory experiments of sediment transport from bare soil with a rill

Cited by 24 publications

References 37 publications

The Wageningen Rainfall Simulator: Set‐up and Calibration of an Indoor Nozzle‐Type Rainfall Simulator for Soil Erosion Studies

The Wageningen Rainfall Simulator: Set‐up and Calibration of an Indoor Nozzle‐Type Rainfall Simulator for Soil Erosion Studies

Relationships among man, environment and sediment transport

Prediction of rainfall runoff‐induced sediment load from bare land surfaces by generalized regression neural network and empirical model

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