Computation of hourly sediment discharges and annual sediment yields by means of two soil erosion models in a mountainous basin

References

• Allen, R.G., et al., 1998. Crop evapotranspiration: guidelines for computing crop requirements. FAO Irrigation and Drainage Paper No. 56, FAO, Rome, Italy.
   Google Scholar
• Angelis, I., Metallinos, A., and Hrissanthou, V., 2012. Regression analysis between sediment transport rates and stream discharge for the Nestos River, Greece. Global Nest Journal, 14 (3), 362–370.
   Google Scholar
• Arnold, J.G., et al., 2013. SWAT 2012 input/output documentation. Texas Water Resources Institute.
   Google Scholar
• Barnes, B.S., 1939. The structure of discharge recession curves. Transactions of the American Geophysical Union, 20 (4), 721–725.
   Google Scholar
• Beasley, D.B., Huggins, L.F., and Monke, E.J., 1980. ANSWERS: a model for watershed planning. Transactions of the ASAE, 23 (4), 0938–0944.
   Google Scholar
• Blaszczynski, J., 2003. Estimating watershed runoff and sediment yield using a GIS interface to curve number and MUSLE models, Resource Notes, 66, 1–2.
   Google Scholar
• Corradini, C., Melone, F., and Ubertini, L., 1986. A semi-distributed adaptive model for real-time flood forecasting. Journal of the American Water Resources Association, 22 (6), 1031–1038.
   Google Scholar
• Cotching, W.E., 2009. Soil health for farming in Tasmania. Bill Cotching.
   Google Scholar
• Cui, Y., et al., 2017. Analyses of the erosion of fine sediment deposit for a large dam-removal project: an empirical approach. International Journal of River Basin Management, 15 (1), 103–114.
   Google Scholar
• Cunge, J.A., 1969. On the subject of a flood propagation computatronal method (Muskingum method). Journal of Hydraulic Research, 7 (2), 205–230.
   Google Scholar
• Davinroy, R.D., 2006. Sedimentation in the Upper Mississippi River Basin. US Army Corps of Engineers, Applied River Engineering Center, St. Louis District.
   Google Scholar
• De Ploey, J., 1972. Findings on erosion processes and evolution rake on sandy substrate. Tijdschrift van de Belgische Vereniging voor Aardrijkskundige Studies, 41, 43–67 (in Dutch).
   Google Scholar
• Emdad, H., 2004. An efficient method of estimating sediment discharge in rivers. PhD Thesis, School of Engineering, University of Pittsburgh.
   Google Scholar
• Engelund, F. and Hansen, E., 1967. A monograph on sediment transport in alluvial streams. Copenhagen: Teknisk Forlag.
   Google Scholar
• Global Weather Data for SWAT, 2017. Available from: http://globalweather.tamu.edu/ [Accessed 17 November 2015].
   Google Scholar
• Govers, G., 1985. Selectivity and transport capacity of thin flows in relation to rill erosion. Catena, 12 (1), 35–49.
   Google Scholar
• Gupta, H.V., Sorooshian, S., and Yapo, P.O., 1999. Status of automatic calibration for hydrologic models: comparison with multilevel expert calibration. Journal of Hydrologic Engineering, 4 (2), 135–143.
   Google Scholar
• Gupta, H.V., et al., 2009. Decomposition of the mean squared error and NSE performance criteria: implications for improving hydrological modelling. Journal of Hydrology, 377 (1), 80–91.
   Google Scholar
• Gyssels, G., et al., 2005. Impact of plant roots on the resistance of soils to erosion by water: a review. Progress in Physical Geography, 29 (2), 189–217.
   Google Scholar
• Hrissanthou, V., 1990. Application of a sediment routing model to a middle European watershed. Journal of the American Water Resources Association, 26 (5), 801–810.
   Google Scholar
• Hrissanthou, V., 2002. Comparative application of two erosion models to a basin. Hydrological Sciences Journal, 47 (2), 279–292.
   Google Scholar
• Jain, M.K. and Das, D., 2010. Estimation of sediment yield and areas of soil erosion and deposition for watershed prioritization using GIS and remote sensing. Water Resources Management, 24 (10), 2091–2112.
   Google Scholar
• Kaffas, K. and Hrissanthou, V., 2014. Application of a continuous rainfall-runoff model to the basin of Kosynthos river using the hydrologic software HEC-HMS. Global NEST Journal, 16 (1), 188–203.
   Google Scholar
• Kaffas, K. and Hrissanthou, V., 2015. Estimate of continuous sediment graphs in a basin, using a composite mathematical model, Environmental Processes, 2 (2), 361–378.
   Google Scholar
• Kitanidis, P.K. and Bras, R.L., 1980. Real-time forecasting with a conceptual hydrologic model: 2. Applications and results. Water Resources Research, 16 (6), 1034–1044.
   Google Scholar
• Knisel, W.G., 1980. CREAMS: a field-scale model for chemicals, runoff, and erosion from agricultural management system. Conservation Research Report No. 26, Washington DC, USDA-SEA.
   Google Scholar
• Krause, P., Boyle, D.P., and Bäse, F., 2005. Comparison of different efficiency criteria for hydrological model assessment. Advances in Geosciences, 5, 89–97.
   Google Scholar
• Laflen, J.M., Lane, L.J., and Foster, G.R. WEPP: a new generation of erosion prediction technology. Journal of Soil and Water Conservation, 46 (1), 34–38, 1991.
   Google Scholar
• Lal, R., 1994. Soil erosion research methods. Ankeny, IA: Soil and Water Conservation Society.
   Google Scholar
• Li, T.J., et al., 2009. Modeling the process of hillslope soil erosion in the loess plateau. Journal of Environmental Informatics, 14 (1), 1–10.
   Google Scholar
• Lifeng, Y., 2008. A soil erosion model based on cellular automata. The international archives of the photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. 37, Part B6b, Beijing.
   Google Scholar
• McCarthy, C.J., 1980. Sediment transport by rainsplash. PhD Thesis, University Microfilms International, Ann Arbor.
   Google Scholar
• Moeyersons, J. and De Ploey, J., 1976. Quantitative data on splash erosion, simulated on unvegetated slopes. Zeitschrift für Geomorphologie, 25, 120–131.
   Google Scholar
• Morgan, R.P.C., et al., 1998. The European soil erosion model EUROSEM: a dynamic approach for predicting sediment transport from fields and small catchments. Earth Surface Processes and Landforms, 23 (6), 527–544.
   Google Scholar
• Nash, J.E. and Sutcliffe, J.V., 1970. River flow forecasting through conceptual models: part 1. A discussion of principles. Journal of Hydrology, 10 (3), 282–290.
   Google Scholar
• Neitsch, S.L., et al., 2011. Soil and Water Assessment Tool Theoretical Documentation – version 2009. Texas Water Resources Institute TR-406.
   Google Scholar
• Nielsen, S.A., Storm, B., and Styczen, M., 1986. Development of distributed soil erosion component for the SHE hydrological modelling system. Proceedings of the International Conference on Water Quality Modelling in the Inland Natural Environment, BHRA, Bournemouth, UK, pp. 1–13.
   Google Scholar
• Panagos, P., et al., 2015a. Estimating the soil erosion cover-management factor at the European scale. Land Use Policy, 48, 38–50.
   Google Scholar
• Panagos, P., et al., 2015b. Modelling the effect of support practices (P-factor) on the reduction of soil erosion by water at European scale. Environmental Science and Policy, 51, 23–34.
   Google Scholar
• Panagos, P., Borrelli, P., and Meusburger, K., 2015c. A new European slope length and steepness factor (LS-factor) for modeling soil erosion by water. Geosciences, 5 (2), 117–126.
   Google Scholar
• Paschalidis, G., Iordanidis, I. and Anagnostopoulos, P., 2014. Discharge and sediment transport in a basin with a dam at its upper boundary. Proceedings of the 12th International Conference on Protection and Restoration of the Environment (eds. A. Liakopoulos, A. Kungolos, C. Christodoulatos, A. Koutsopsyros), June 29–July 3, Skiathos Island, Greece.
   Google Scholar
• Pasini, F., 1914. Report on the renana recovery plan, Bologna, Italy, (in Italian).
   Google Scholar
• Pearson, K., 1933. On a method of determining whether a sample of size n supposed to have been drawn from a parent population having a known probability integral has probably been drawn at random. Biometrika, 25, 379–410.
   Google Scholar
• Poesen, J., 1985. An improved splash transport model. Zeitschrift für Geomorphologie, 29, 193–211.
   Google Scholar
• Poesen, J. and Savat, J., 1981. Detachment and transportation of loose sediments by raindrop splash: Part II detachability and transport ability measurements. Catena, 8 (1), 19–41.
   Google Scholar
• Reeve, I.J., 1982. A splash transport model and its application to geomorphic measurement. Zeitschrift für Geomorphologie, 26, 55–71.
   Google Scholar
• Samaras, A.G. and Koutitas, C.G., 2014. Modeling the impact of climate change on sediment transport and morphology in coupled watershed-coast systems: A case study using an integrated approach. International Journal of Sediment Research, 29 (3), 304–315.
   Google Scholar
• Soil Conservation Service (SCS), 1971. National engineering handbook, section 4: hydrology. Springfield, VA: USDA.
   Google Scholar
• Soil Conservation Service (SCS), 1972. National engineering handbook, section 4: hydrology. Washington, DC: USDA.
   Google Scholar
• Takken, I., et al., 1999. Spatial evaluation of a physically-based distributed erosion model (LISEM). Catena, 37 (3–4), 431–447.
   Google Scholar
• Thiessen, A.H., 1911. Precipitation averages for large areas. Monthly Weather Review, 39 (7), 1082–1089.
   Google Scholar
• United States Army Corps of Engineers (USACE), 2016. Hydrologic modeling system HEC-HMS, user’s manual, Version 4.2, Hydrologic Engineering Center.
   Google Scholar
• Wang, G.Q., et al., 2015. Watershed sediment dynamics and modeling: a watershed modeling system for Yellow River. In: C.T. Yang and L.K. Wang, eds. Advances in water resources engineering, handbook of environmental engineering, Volume 14, Chapter 1. New York: Springer, 1–40.
   Google Scholar
• Williams, J.R., 1975. Sediment-Yield Prediction with Universal Soil Loss Equation Using Runoff Energy Factor. In: Present and prospective technology for predicting sediment yields and sources. Proceedings of the sediment yield workshop, Oxford, MS, 244–252.
   Google Scholar
• Willmott, C.J., 1981. On the validation of models. Physical Geography, 2, 184–194.
   Google Scholar
• Wischmeier, W.H. and Smith, D.D., 1965. Predicting rainfall-erosion losses from cropland east of the Rocky Mountains. Agriculture Handbook 282, USDA-ARS.
   Google Scholar
• Wischmeier, W.H. and Smith, D.D., 1978. Predicting rainfall erosion losses: a guide to conservation planning. Agriculture Handbook 282, USDA-ARS.
   Google Scholar
• Yang, C.T., 1972. Unit stream power and sediment transport. Journal of the Hydraulics Division, ASCE, 98, 1805–1825.
   Google Scholar
• Yang, C.T., 1976. Minimum unit stream power and fluvial hydraulics. Journal of the Hydraulics Division, ASCE, 102, 919–934.
   Google Scholar
• Yang, C.T. and Stall, J.B., 1976. Applicability of unit stream power equation. Journal of the Hydraulics Division, ASCE, 102 (5), 559–568.
   Google Scholar
• Yang, C.T. and Song, C.C.S., 1979. Theory of minimum rate of energy dissipation. Journal of the Hydraulics Division, ASCE, 105 (7), 769–784.
   Google Scholar
• Yang, C.T. and Song, C.C.S., 1986. Theory of minimum energy and energy dissipation rate. In: N.P. Cheremisinoff, ed. Encyclopedia of fluid mechanics. Houston, TX: Gulf, Vol. 1, 353–399.
   Google Scholar