Water Balance Parameters Estimation through Semi-Distributed, Rainfall-Runoff and Numerical Models. Case Study: Atalanti Watershed (Central – Eastern Greece)

International Journal of Agriculture & Environmental Science

© 2019 by SSRG - IJAES Journal

Volume 6 Issue 6

Year of Publication : 2019

Authors : Lappas Ioannis

10.14445/23942568/IJAES-V6I6P113

How to Cite?

Lappas Ioannis, "Water Balance Parameters Estimation through Semi-Distributed, Rainfall-Runoff and Numerical Models. Case Study: Atalanti Watershed (Central – Eastern Greece)," SSRG International Journal of Agriculture & Environmental Science, vol. 6,  no. 6, pp. 91-102, 2019. Crossref, https://doi.org/10.14445/23942568/IJAES-V6I6P113

Abstract:

There are a lot of hydrological models which simulate the water balance components including direct and basic flow also taking into account many hydro-meteorological data. The purpose of this study was the modelling of water surplus, surface runoff and infiltration into saturated and unsaturated zone, through different methods, providing reliable conclusions. In this research, three distinct models, namely, CLASS U3M-1D (semi-distributed), Rainfall-Runoff and MIKE SHE (numerical) model were employed to simulate the hydrological balance in the area of Atalanti watershed. The rainfall data from five meteorological stations covering the whole catchment area were selected and used (Atalanti, Aliartos, Pavlos, Theologos and Makrykapa). The use of daily data combined with geological and soil data as well as data from plant and vegetation leaf area, were an important tool for calibration and simulation of all physical processes. The balance was conducted for each soil material and evaporative, drainage and fluxes were simulated over time. The simulation period was determined for twenty years (1981-2001). Initially, digitalized maps were introduced to the models applied using a GIS environment. Overall, all the models were able to satisfactorily simulate the balance’s parameters, representing all the hydrological data adequately. The results of this study were presented in a graphical form of the spatio-temporal variation which could be used for the optimal management of water resources as well as for the proper use of groundwater abstraction. Moreover, the modeling could become a tool for an optimal groundwater management approach. Finally, all the applied models were cross-compared taking also into account the results obtained from the classical water balance parameters’ estimation methodologies.

Keywords:

water surplus; model simulation; CLASS U3M-1D; Rainfall – Runoff model; MIKE SHE; methods’ cross-comparison.

References:

[1] H. Brooks, T. Corey. Properties of porous media affecting fluid flow. Journal of the Irrigation & Drainage Division, American Society of Civil Engineers, pp.61-88, 1966.
[2] A. Efstratiadis, I. Nalbantis, A. Koukouvinos, E. Rozos, D. Koutsoyiannis. HYDROGEIOS: a semi-distributed GISbased hydrological model for modified river basins. Hydrology and Earth System Sciences, 12, pp.989–1006, 2008.
[3] D. Katakouzinos. Soil map of Greece, scale 1:1,000,000. Ministry of Agriculture, Institute of Fertilizers and Climatology, Athens 1967.
[4] D. Koutsoyiannis. A generalized mathematical framework for stochastic simulation and forecast of hydrologic timeseries. Wat. Resour. Re. 36(6), pp.1519-1534, 2000.
[5] C. Kusre, S. Singh. Study of Spatial and Temporal Distribution of Rainfall in Nagaland (India). International Journal of Geomatics and Geosciences, Vol.2, No.3, 2012.
[6] G. Maratos, K. Rigopoulos, A. Athanasiou. Geological maps of Atalanti and Livanates sheets, scale 1:50,000, Institute of Subsurface Geological Research, 1965.
[7] N. Labrakis, G. Kallergis. Reaction of subsurface coastal aquifers to climate and land use changes in Greece. Modelling of groundwater refreshening patterns under natural recharge conditions. Journal of Hydrology, 245, pp.19-31, 2001.
[8] I. Lappas. Applied hydrogeological research in coastal aquifers. Case study of the coastal part of Atalanti region, Prefecture of Fthiotida. PhD Thesis Dissertation, School of Mining and Metallurgical Engineering, National and Technical University of Athens, p.487, 2018.
[9] G. Nakos. Soil map of Greece, scale 1:500,000. Institute of Forest Research, General Directorate of Forests and Environment, Athens 1977.
[10] Υ. Pachepsky, D. Timlin, W. Rawls. Generalized Richards’ equation to simulate water transport in unsaturated soils. Journal of Hydrology 272, pp.3–13, 2003.
[11] N. Palyvos. Geomorphological study of Atalanti area of Fthiotida prefecture. PhD Thesis Dissertation, School of Sciences, Department of Geology, Athens, 2001.
[12] D. Pantosti, P. DeMartini, D. Papanastassiou, N. Palyvos, F. Lemeille, G. D’Addezio, L. McNeill, K. Gaki-Papanastassiou, G. Stavrakakis. Geomorphological and paleoseismological studies of the Atalanti fault. XXVII Gen. Assembly of the Eur. Seism. Comiss., Lisbon Univ., Lisbon, p.73, 2000..
[13] A. Richards. Diagnosis and improvement of saline and alkali soils. Agric. Handbook 60, U.S. Dept. Agric, Washington, D.C. p.160, 1954..
[14] A. Romanowicz, M. Vanclooster, M. Rounsevell, I. La Junesse. Sensitivity of the SWAT model to the soil and land use data parameterization: a case study in the Thyle catchment, Belgium. Ecological Modelling 187, pp.27–39, 2005.
[15] D. Saleh, C. Kratzer, D. Green. Evans Using the Soil and Water Assessment Tool (SWAT) to Simulate Runoff in Mustang Creek Basin, California. Scientific Investigations Report 5031, 2009.
[16] W. Thornthwaite. An approach towards a rational classification of climate. Geogr. Rev. 38, pp.55- 94, 1951.
[17] W. Thornthwaite, R. Mather. The water balance. Thornthwaite Ass. Lab., New Jersey. Climatology 8 (1), pp.1-37, 1955.
[18] K. Tuteja, J. Vaze, B. Murphy, B. Beale. CLASS – Catchment scale multiple – landuse atmosphere soil water and solute transport model. Department of Infrastructure, Planning and Natural Resources and Cooperative Research Centre for Catchment Hydrology, Technical Report 04/12, Australia, 2004.
[19] M. van Genuchten. A Closed Form Equation for Predicting the Hydraulic Conductivity of Unsaturated Soils. Soil Sc. Soc. Am. J., 48, pp.892-898, 1980.
[20] E. Varanou, E. Gkouvatsou, E. Baltas, M. Mimikou. Quantity and quality integrated catchment modelling under climatic change with use of Soil and Water Assessment Tool model. Journal of Hydrologic Engineering 7, pp.228-244, 2002.
[21] F. Vazquez, L. Feyen, J. Feyen, C. Refsgaard. Effect of grid size on effective parameters and model performance of the
MIKE SHE code. Hydrological Processes, 16, 2, 2002.