The high erosion rates are mainly affecting the developing countries due to intensive cultivation, deforestation; extreme climate hazard, sediment transport and loss of agricultural nutrients were caused by unwise land use practices, intensive cultivation and improper management. Soil conservation is the only known way to protect the productive land. In this study a physically based watershed model, Annualized Agricultural Non-Point Source (AnnAGNPS) pollution model was applied to the Dawe River watershed for simulation of the runoff and sediment yield. The objectives were to estimate potential runoff and sediment yield and to recommend and design appropriate soil and water conservation measures on a sub watershed basis in Dawe watershed of east hararghe zone. Sensitivity analysis, model calibration and validation were also performed. Four highly sensitive parameters were identified and of which CN was the most sensitive one. For model calibration, model efficiencies of 0.742, -231.081 and 0.828 were observed for surface runoff, peak runoff rate, and sediment yield, respectively. The corresponding determination of coefficients was 0.825, 0.1669 and 0.848, respectively. Runoff and sediment yield were well predicted but, peak runoff rate was over predicted. Validation results produced model efficiencies NSE of 0.769, -73.801 and 0.718 for surface runoff, peak runoff rate and sediment yield, respectively. With coefficient of determination (R2) of 0.9215, 0.235 and 0.764 for runoff, peak runoff rate and sediment yield, respectively. Surface runoff and sediment yield simulation were well in the validation stage and peak runoff rate shows the same trend as calibration. Dawe watershed was divided in thirteen sub-watersheds. Runoff and sediment yield for each sub-watershed were quantified. Average annual watershed runoff, average annual soil loss and total annual sediment outflow from Dawe watershed was 194.48mm, 22.467 tons/ha/yr and 354215 tons/yr, respectively. In Dawe watershed, gully, rill and inter-rill erosions were identified as major problems. Thus, check dam and bench terrace designed and vegetative waterway are recommended for intensively cultivated crop land of Dawe watershed.
| Published in | Journal of Water Resources and Ocean Science (Volume 10, Issue 6) |
| DOI | 10.11648/j.wros.20211006.14 |
| Page(s) | 185-195 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2021. Published by Science Publishing Group |
Dawe Watershed, Runnoff, Sediment Yield, Soil Loss, Peak Runoff
| [1] | Bingner, R., Theurer, F., Yuan, Y., 2015. AnnAGNPS Technical Processes, ersion 5.4. USDA. |
| [2] | Bingner, R., 2014. AGNPS Project and Input Data Preparation Documentation, Version 5.41 Ed. USDA-ARS, Oxford, MS. |
| [3] | Biswas, H., Raizada, A., Mandal, D., Kumar, S., Srinivas, S., and Mishra, P. K. 2015. Identification of areas vulnerable to soil erosion risk in India using GIS methods, Solid Earth, 6, 1247–1257, doi: 10.5194/se-6-1247. |
| [4] | Chahor, Y., Casalí, J., Giménez, R., Bingner, R., Campo, M., Go˜ni, M., 2014. Evaluationof the AnnAGNPS model for predicting runoff and sediment yield in a small Mediterranean agricultural watershed in Navarre (Spain). Agric. Water Manage. 134, 24–37. |
| [5] | Dai, Q., Liu, Z., Shao, H., and Yang, Z. 2015. Karst bare slope soil erosion and soil quality: a simulation case study, Solid Earth, 6, 985– 995, doi: 10.5194/se-6-985-2015. |
| [6] | Gessesse, B., Bewket, W., and Bräuning, A., 2015. Model-based characterization and monitoring of runoff and soil erosion in response to land use/land cover changes in the Modjo watershed, Ethiopia, Land Degrad. Dev., 26, 711–724, doi: 10.1002/ldr.2276. |
| [7] | Hoekstra, A. Y., Mekonnen, M. M., Chapagain, A. K., Mathews, R. E., Richter, B. D., 2012. Global monthly water scarcity: blue water footprints versus blue water availability. PLoS One 7, e32688. doi: http://dx.doi.org/10.1371/journal. pone.0032688. |
| [8] | Kruger. H. J., Berhanu, F., Yohannes, G. M., and Kefeni, K, 1997. Soil Conservation Research Programme and Center for Development and Environment, Research Report No 34. Center for Development and Environment, Institute of Geography, University of Berne, Switzerland. |
| [9] | Mitchel, J. K., Engel, B. A., Srinivasan, R., Wang, S. S. Y., 1993. Validation of AGNPS for small watersheds using an integrated AGNPS/GIS system. Water Resource Bull. AWRA 29, 833–842. |
| [10] | Moriasi, D. N., Arnold, J. G., Van Liew, M. W., Bingner, R. L., Harmel, R. D., Veith, T. L., 2007. |
| [11] | Moraessa, J. C., Seguy, L., Tivet. F., Lal, R., Bouzinac, S., Borszowskei, P. R., Briedis, C., Santos, J. B., Cruz Hartman, D., Bertoloni. C. G., Rosa. J., Friedrich. T., 2015. Carbon depletion by plowing and its restoration by no-till cropping systems in oxisols of subtropical and tropical agro-eco regions in Brazil Land Degrad. Dev. 26, 531-543. |
| [12] | Nash, J. E., Sutcliffe, J. V., 1970. River flow forecasting through conceptual modelspart I—a discussion of principles. J. Hydrol. 10, 282–290. |
| [13] | Steffen, W., Richardson, K., Rockström, J., Cornell, S. E., Fetzer, I., Bennett, E. M., Biggs, R., Carpenter, S. R., Vries, W., de Wit, C. A., de Folke, C., Gerten, D., Heinke, J., Mace, G. M., Persson, L. M., Ramanathan, V., Reyers, B., Sörlin, S., 2015. |
| [14] | Telles, T. S., Dechen, S. C. F., de Souza, L. G. A., and Guimarães, M. F., 2013. Valuation and assessment of soil erosion costs, Sci. Agr., 70, 209–216. |
| [15] | Tenberg A, DaVeiga M, Dechen SCF, Stocking MA 2014. Modellingthe impact of erosiononsoil productivity: a comparative evaluation of approachs on data from southern brazil. |
| [16] | Teshome Atinafe, 1995. Modeling of water erosion processes by Agricultural Non-Point Source Pollution Model in Tikurso Watershed, North Shewa. M.Sc. Thesis Research. Wageningen Agricultural University, The Netherlands. |
| [17] | Yoon, J. 1996. Watershed scale non-point source pollution modeling and decision support system based on a model-GIS- RDBMS linkage. In: Proc. of AWRA Symposium on GIS and Water Resources. Ft Lauderale, FL. Pp 2-16. |
APA Style
Frezer Yemane, Teshome Seyoum, Robe Elema. (2021). Simulation of Runoff and Sediment Yield Using AnnAGNPS Model at Dawe Watershed, Eastern Hararghe, Ethiopia. Journal of Water Resources and Ocean Science, 10(6), 185-195. https://doi.org/10.11648/j.wros.20211006.14
ACS Style
Frezer Yemane; Teshome Seyoum; Robe Elema. Simulation of Runoff and Sediment Yield Using AnnAGNPS Model at Dawe Watershed, Eastern Hararghe, Ethiopia. J. Water Resour. Ocean Sci. 2021, 10(6), 185-195. doi: 10.11648/j.wros.20211006.14
AMA Style
Frezer Yemane, Teshome Seyoum, Robe Elema. Simulation of Runoff and Sediment Yield Using AnnAGNPS Model at Dawe Watershed, Eastern Hararghe, Ethiopia. J Water Resour Ocean Sci. 2021;10(6):185-195. doi: 10.11648/j.wros.20211006.14
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Download@article{10.11648/j.wros.20211006.14,
author = {Frezer Yemane and Teshome Seyoum and Robe Elema},
title = {Simulation of Runoff and Sediment Yield Using AnnAGNPS Model at Dawe Watershed, Eastern Hararghe, Ethiopia},
journal = {Journal of Water Resources and Ocean Science},
volume = {10},
number = {6},
pages = {185-195},
doi = {10.11648/j.wros.20211006.14},
url = {https://doi.org/10.11648/j.wros.20211006.14},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.wros.20211006.14},
abstract = {The high erosion rates are mainly affecting the developing countries due to intensive cultivation, deforestation; extreme climate hazard, sediment transport and loss of agricultural nutrients were caused by unwise land use practices, intensive cultivation and improper management. Soil conservation is the only known way to protect the productive land. In this study a physically based watershed model, Annualized Agricultural Non-Point Source (AnnAGNPS) pollution model was applied to the Dawe River watershed for simulation of the runoff and sediment yield. The objectives were to estimate potential runoff and sediment yield and to recommend and design appropriate soil and water conservation measures on a sub watershed basis in Dawe watershed of east hararghe zone. Sensitivity analysis, model calibration and validation were also performed. Four highly sensitive parameters were identified and of which CN was the most sensitive one. For model calibration, model efficiencies of 0.742, -231.081 and 0.828 were observed for surface runoff, peak runoff rate, and sediment yield, respectively. The corresponding determination of coefficients was 0.825, 0.1669 and 0.848, respectively. Runoff and sediment yield were well predicted but, peak runoff rate was over predicted. Validation results produced model efficiencies NSE of 0.769, -73.801 and 0.718 for surface runoff, peak runoff rate and sediment yield, respectively. With coefficient of determination (R2) of 0.9215, 0.235 and 0.764 for runoff, peak runoff rate and sediment yield, respectively. Surface runoff and sediment yield simulation were well in the validation stage and peak runoff rate shows the same trend as calibration. Dawe watershed was divided in thirteen sub-watersheds. Runoff and sediment yield for each sub-watershed were quantified. Average annual watershed runoff, average annual soil loss and total annual sediment outflow from Dawe watershed was 194.48mm, 22.467 tons/ha/yr and 354215 tons/yr, respectively. In Dawe watershed, gully, rill and inter-rill erosions were identified as major problems. Thus, check dam and bench terrace designed and vegetative waterway are recommended for intensively cultivated crop land of Dawe watershed.},
year = {2021}
}
TY - JOUR T1 - Simulation of Runoff and Sediment Yield Using AnnAGNPS Model at Dawe Watershed, Eastern Hararghe, Ethiopia AU - Frezer Yemane AU - Teshome Seyoum AU - Robe Elema Y1 - 2021/12/31 PY - 2021 N1 - https://doi.org/10.11648/j.wros.20211006.14 DO - 10.11648/j.wros.20211006.14 T2 - Journal of Water Resources and Ocean Science JF - Journal of Water Resources and Ocean Science JO - Journal of Water Resources and Ocean Science SP - 185 EP - 195 PB - Science Publishing Group SN - 2328-7993 UR - https://doi.org/10.11648/j.wros.20211006.14 AB - The high erosion rates are mainly affecting the developing countries due to intensive cultivation, deforestation; extreme climate hazard, sediment transport and loss of agricultural nutrients were caused by unwise land use practices, intensive cultivation and improper management. Soil conservation is the only known way to protect the productive land. In this study a physically based watershed model, Annualized Agricultural Non-Point Source (AnnAGNPS) pollution model was applied to the Dawe River watershed for simulation of the runoff and sediment yield. The objectives were to estimate potential runoff and sediment yield and to recommend and design appropriate soil and water conservation measures on a sub watershed basis in Dawe watershed of east hararghe zone. Sensitivity analysis, model calibration and validation were also performed. Four highly sensitive parameters were identified and of which CN was the most sensitive one. For model calibration, model efficiencies of 0.742, -231.081 and 0.828 were observed for surface runoff, peak runoff rate, and sediment yield, respectively. The corresponding determination of coefficients was 0.825, 0.1669 and 0.848, respectively. Runoff and sediment yield were well predicted but, peak runoff rate was over predicted. Validation results produced model efficiencies NSE of 0.769, -73.801 and 0.718 for surface runoff, peak runoff rate and sediment yield, respectively. With coefficient of determination (R2) of 0.9215, 0.235 and 0.764 for runoff, peak runoff rate and sediment yield, respectively. Surface runoff and sediment yield simulation were well in the validation stage and peak runoff rate shows the same trend as calibration. Dawe watershed was divided in thirteen sub-watersheds. Runoff and sediment yield for each sub-watershed were quantified. Average annual watershed runoff, average annual soil loss and total annual sediment outflow from Dawe watershed was 194.48mm, 22.467 tons/ha/yr and 354215 tons/yr, respectively. In Dawe watershed, gully, rill and inter-rill erosions were identified as major problems. Thus, check dam and bench terrace designed and vegetative waterway are recommended for intensively cultivated crop land of Dawe watershed. VL - 10 IS - 6 ER -
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