Simulation of runoff and phosphorus transport in a Carpathian catchment, Slovakia

Liu, Y. B.; Corluy, Jan; Bahremand, Abdolreza; Smedt, Florimond De; Poórová, Jana; Velcicka, L.

doi:10.1002/rra.953

Cited by 10 publications

(4 citation statements)

References 18 publications

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“…The hydrological model WetSpa was originally developed by Wang et al (1996) and adopted for flood prediction by De Smedt et al 2000and Liu and De Smedt (2004a). It has been applied in tropical environments by , for analyzing the effects of climate changes on stream flow by Gebremeskel et al (2005), and for prediction of phosphorous transport by Liu et al (2006). Until now, it has not been tested in an ephemeral/intermittent river environment.…”

Section: Egumentioning

confidence: 99%

Prediction of runoff and discharge in the Simiyu River (tributary of Lake Victoria, Tanzania) using the WetSpa model

Rwetabula

Smedt

Rebhun

2007

Preprint

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Abstract. A spatially distributed hydrologic model (WetSpa) is used to estimate daily river water discharge in the Simiyu river a tributary of Lake Victoria, Tanzania. The model combines topography, landuse and soil maps, and observed daily meteorological time series to predict discharge hydrographs and the spatial distribution of hydrological parameters in the catchment. The elevations in the catchment range from 2000 to 1100 m at the outlet, with average slope of 1.4%. The dominant landuse types are, wasteland, grassland, bushland, cultivated land, and a very small area is covered by surface water. The dominant soil types are sandy loam, followed by sandy clay loam, clay loam, clay, loam and sandy clay. There are two distinctive seasons in the Simiyu catchment. Short rains mainly in November, December and January, and long rains in March to May, resulting in a total average annual precipitation of 700 to 1000 mm. The annual potential evapotranspiration is about 1300 mm, and the river discharge at the catchment outlet ranges from 0 to about 200 m3/s. Global parameters of the model are calibrated using three years of daily observed discharge values measured at the mouth of the river at Lake Victoria. The estimated average travel time of the runoff to the outlet of the catchment is about 2.4 d and maximum 8 d for the most remote areas. The model results also show that the surface runoff and interflow provide respectively 38.6% and 61.4% of the total runoff, while the contribution of groundwater drainage is nil. The absence of groundwater drainage is probably due to the high evaporation demand of the atmosphere, which accounts for about 90% of the total precipitation being lost by evapotranspiration. The annual water balance estimated with the model reveals that the total outflow to Lake Victoria is about 500×106 m3 per year, which occurs mainly in the wet seasons, i.e. from March to May and from November to January. The volume of runoff produced by agricultural land amounts to about 9% of the total runoff annually.

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Section: Egumentioning

confidence: 99%

Prediction of runoff and discharge in the Simiyu River (tributary of Lake Victoria, Tanzania) using the WetSpa model

Rwetabula

Smedt

Rebhun

2007

Preprint

Self Cite

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“…Many case studies in different countries and regions have suggested that a hydrological process is a highly complex system, with nonlinearity as its basic characteristic (Ibbitt and Woods, 2004;Liu et al, 2006;Strupezewski et al, 2006;Sivakumar, 2007;Liu, 2008;Wang et al, 2008). As a result, the nonlinearity of runoff processes has been explored using various nonlinear analytical methods and models, including wavelets, artificial neural networks, and the fractal theory (Wilcox et al, 1991;Smith et al, 1998;Chou, 2007;Hu et al, 2008;Movahed and Hermanis, 2008).…”

Section: Introductionmentioning

confidence: 99%

A comprehensive approach to characterization of the nonlinearity of runoff in the headwaters of the Tarim River, western China

Xu¹,

Li²,

Ji³

et al. 2009

Hydrological Processes

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Abstract:Nonlinear characteristics of the runoff processes in the headwaters of the Tarim River were identified and evaluated using several selected methods, including wavelet analysis, correlation dimension, and R/S analysis. Time-series of annual data describing runoff, average temperature, and precipitation from 1957 to 2005 were used to construct and test empirical models. The primary findings of this study were as follows: (1) The annual runoff of the headwaters are complex and nonlinear in nature, and they each presented periodic, nonlinear trends at the chosen time scales, chaotic dynamics, and long-memory characteristics. (2) These nonlinear trends appeared to have resulted from the regional climatic changes that occurred during the study period. The periodicity of changes in runoff occurred on an approximately 25-year cycle, which appeared to be correlated with temperature and precipitation cycles. In addition, the annual runoff exhibited a significant, positive correlation with the temperature and precipitation factors at the 4-, 8-, 16-, and 32-year temporal scales. (3) The correlation dimensions of the attractor derived from the runoff time series for the Hotan, Yarkand, and Aksu rivers were all greater than 3Ð0 and non-integral, implying that all three rivers are dynamic chaotic systems that are sensitive to initial conditions, and that the dynamic modelling of their annual runoff requires at least four independent variables. (4) The computed Hurst exponents indicate that a long-term memory characteristic exists in the annual runoff processes. However, there were some differences observed, with the Aksu and Yarkand rivers demonstrating a persistent trait, and the Hotan River exhibiting an anti-persistent feature.

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“…It is widely recognized that a river channel runoff process is a complex system, which has been characterized as nonlinear (Strupezewski et al, 2006;Liu et al, 2006;Sivakurnar, 2007;Wang et al, 2008). Many researchers have explored the nonlinearity of runoff processes using various nonlinear analytic methods and models, including wavelet, artificial neural networks, fractal theory (Wilcox et al, 1991;Smith et al, 1998;Chou, 2007;Hu, 2008;Movahed and Hermanis, 2008) and statistical method (Lin et al, 2008;Chen H et al, 2007;Xu, 2002).…”

Section: Introductionmentioning

confidence: 98%

The complex nonlinear systems with fractal as well as chaotic dynamics of annual runoff processes in the three headwaters of the Tarim River

Chen

et al. 2009

J. Geogr. Sci.

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This paper attempted to identify fractal and chaotic characteristics of the annual runoff processes in headwaters of the Tarim River. Methods of fractal analyses were used to explore several aspects of the temporal changes from 1957 to 2002. The main findings are as follows: (1) The annual runoff processes of the three headwaters of the Tarim River are complex nonlinear systems with fractal as well as chaotic dynamics. (2) The correlation dimensions of attractor derived from the time series of the annual runoff for the Hotan, Yarkand and Aksu rivers are all greater than 3.0 and non-integral, implying that all three rivers are chaotic dynamical systems that are sensitive to initial conditions, and the dynamic modeling of their annual runoff process requires at least four independent variables. (3) The time series of annual runoff in each river presents a long-term correlation characteristic. The Hurst exponent for the period of 1989 to 2002 suggests that we may expect to see an increasing trend in the annual runoff of the Aksu and Yarkand rivers in the years after 2002, but a decreasing tendency for the Hotan River in the same period.

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Simulation of runoff and phosphorus transport in a Carpathian catchment, Slovakia

Cited by 10 publications

References 18 publications

Prediction of runoff and discharge in the Simiyu River (tributary of Lake Victoria, Tanzania) using the WetSpa model

Prediction of runoff and discharge in the Simiyu River (tributary of Lake Victoria, Tanzania) using the WetSpa model

A comprehensive approach to characterization of the nonlinearity of runoff in the headwaters of the Tarim River, western China

The complex nonlinear systems with fractal as well as chaotic dynamics of annual runoff processes in the three headwaters of the Tarim River

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