Articles | Volume 12, issue 5
https://doi.org/10.5194/hess-12-1189-2008
© Author(s) 2008. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-12-1189-2008
© Author(s) 2008. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
17 Sep 2008
A stochastic approach for the description of the water balance dynamics in a river basin
S. Manfreda
Dipartimento di Ingegneria e Fisica dell'Ambiente (DIFA), Università degli Studi della Basilicata, via dell'Ateneo Lucano, 10, Potenza, 85100, Italy
M. Fiorentino
Dipartimento di Ingegneria e Fisica dell'Ambiente (DIFA), Università degli Studi della Basilicata, via dell'Ateneo Lucano, 10, Potenza, 85100, Italy
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- Stochastic evolution of hydraulic geometry relations in the lower Yellow River of China under environmental uncertainties X. Song et al. https://doi.org/10.1016/j.ijsrc.2020.02.003
- Evaluation of different parameterizations of the spatial heterogeneity of subsurface storage capacity for hourly runoff simulation in boreal mountainous watershed T. Hailegeorgis et al. https://doi.org/10.1016/j.jhydrol.2014.12.061
- A study of the stochastic evolution of hydraulic geometry relationships X. Song et al. https://doi.org/10.1002/rra.3461
- Simulation on the stochastic evolution of hydraulic geometry relationships with the stochastic changing bankfull discharges in the Lower Yellow River X. Song et al. https://doi.org/10.1007/s11442-020-1758-z
- A physically based approach for the estimation of root-zone soil moisture from surface measurements S. Manfreda et al. https://doi.org/10.5194/hess-18-1199-2014
- The dynamics of cultivation and floods in arable lands of Central Argentina E. Viglizzo et al. https://doi.org/10.5194/hess-13-491-2009
- Comparison of different methods describing the peak runoff contributing areas during floods A. Gioia et al. https://doi.org/10.1002/hyp.11169
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- Spatial Root Zone Soil Water Content Estimation in Agricultural Lands Using Bayesian-Based Artificial Neural Networks and High- Resolution Visual, NIR, and Thermal Imagery L. Hassan-Esfahani et al. https://doi.org/10.1002/ird.2098
- Field test of a multi-frequency electromagnetic induction sensor for soil moisture monitoring in southern Italy test sites G. Calamita et al. https://doi.org/10.1016/j.jhydrol.2015.07.023
- Performance of a Theoretical Model for the Description of Water Balance and Runoff Dynamics in Southern Italy A. Gioia et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000879
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- A probabilistic approach to an upper-body region simulation in a bedload-dominated delta: implications for neck area morphology and plant colonization W. Xin et al. https://doi.org/10.1007/s00477-023-02498-x
- Effects of temporal variability on HBV model calibration S. Rusli et al. https://doi.org/10.1016/j.wse.2015.12.002
- Integrating hybrid runoff generation mechanism into variable infiltration capacity model to facilitate hydrological simulations Y. Shen et al. https://doi.org/10.1007/s00477-020-01878-x
18 citations as recorded by crossref.
- Variable source area hydrology: past present and future - a review K. Panjabi et al. https://doi.org/10.1139/er-2025-0162
- Dynamics of land use land cover changes and hydrological responses on runoff in Satinsyi River network of Ngororero District, Rwanda J. Nsengiyumva et al. https://doi.org/10.1007/s43832-026-00420-4
- Stochastic evolution of hydraulic geometry relations in the lower Yellow River of China under environmental uncertainties X. Song et al. https://doi.org/10.1016/j.ijsrc.2020.02.003
- Evaluation of different parameterizations of the spatial heterogeneity of subsurface storage capacity for hourly runoff simulation in boreal mountainous watershed T. Hailegeorgis et al. https://doi.org/10.1016/j.jhydrol.2014.12.061
- A study of the stochastic evolution of hydraulic geometry relationships X. Song et al. https://doi.org/10.1002/rra.3461
- Simulation on the stochastic evolution of hydraulic geometry relationships with the stochastic changing bankfull discharges in the Lower Yellow River X. Song et al. https://doi.org/10.1007/s11442-020-1758-z
- A physically based approach for the estimation of root-zone soil moisture from surface measurements S. Manfreda et al. https://doi.org/10.5194/hess-18-1199-2014
- The dynamics of cultivation and floods in arable lands of Central Argentina E. Viglizzo et al. https://doi.org/10.5194/hess-13-491-2009
- Comparison of different methods describing the peak runoff contributing areas during floods A. Gioia et al. https://doi.org/10.1002/hyp.11169
- Experiments on the deterministic and non-deterministic responses of lacustrine deltaic channels to water inflow H. Xu et al. https://doi.org/10.1080/02626667.2021.1974448
- Spatial Root Zone Soil Water Content Estimation in Agricultural Lands Using Bayesian-Based Artificial Neural Networks and High- Resolution Visual, NIR, and Thermal Imagery L. Hassan-Esfahani et al. https://doi.org/10.1002/ird.2098
- Field test of a multi-frequency electromagnetic induction sensor for soil moisture monitoring in southern Italy test sites G. Calamita et al. https://doi.org/10.1016/j.jhydrol.2015.07.023
- Performance of a Theoretical Model for the Description of Water Balance and Runoff Dynamics in Southern Italy A. Gioia et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000879
- Impact of detention dams on the probability distribution of floods S. Manfreda et al. https://doi.org/10.5194/hess-25-4231-2021
- Enhanced Estimation of Root Zone Soil Moisture at 1 km Resolution Using SMAR Model and MODIS-Based Downscaled AMSR2 Soil Moisture Data M. Farokhi et al. https://doi.org/10.3390/s21155211
- A probabilistic approach to an upper-body region simulation in a bedload-dominated delta: implications for neck area morphology and plant colonization W. Xin et al. https://doi.org/10.1007/s00477-023-02498-x
- Effects of temporal variability on HBV model calibration S. Rusli et al. https://doi.org/10.1016/j.wse.2015.12.002
- Integrating hybrid runoff generation mechanism into variable infiltration capacity model to facilitate hydrological simulations Y. Shen et al. https://doi.org/10.1007/s00477-020-01878-x
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