Use of multiple-time-step information in rainfall-runoff modelling

Nalbantis, Ioannis

doi:10.1016/0022-1694(94)02567-u

Cited by 17 publications

(4 citation statements)

References 16 publications

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“…For k = 1, R 2 was clearly inferior to that of the case without delay. This is expected for our test basin which responds to precipitation within a few hours with direct flow as the dominant process (Nalbantis 1995). Consequently, one month is a too large delay for our test basin.…”

Section: Resultsmentioning

confidence: 94%

Assessment of Hydrological Drought Revisited

Nalbantis

Tsakiris

2008

Water Resour Manage

689

324

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A variety of indices for characterising hydrological drought have been devised which, in general, are data demanding and computationally intensive. On the contrary, for meteorological droughts very simple and effective indices such as the Standardised Precipitation Index (SPI) have been used. A methodology for characterising the severity of hydrological droughts is proposed which uses an index analogous to SPI, the Streamflow Drought Index (SDI). Cumulative streamflow is used for overlapping periods of 3, 6, 9 and 12 months within each hydrological year. Drought states are defined which form a non-stationary Markov chain. Prediction of hydrological drought based on precipitation is also investigated. The methodology is validated using reliable data from the Evinos river basin (Greece). It can be easily applied within a Drought Watch System in river basins with significant storage works and can cope with the lack of streamflow data.

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Section: Resultsmentioning

confidence: 94%

Assessment of Hydrological Drought Revisited

Nalbantis

Tsakiris

2008

Water Resour Manage

689

324

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“…Multiple statistical values, including the Nash-Sutcliffe efficiency coefficient (E NS ) (Nash and Sutcliffe, 1970), ratio of the root mean square error to the standard deviation of measured data (R SR ) (Singh et al, 2005), and the percent bias (P BIAS ) (Gupta et al, 1999), were selected in this study to evaluate the daily model performances, as shown in Eqs. (8), (9), and (10).…”

Section: Daily Calibration and Validation With The Swat Modelmentioning

confidence: 99%

“…To address the initialization issue, some efforts have been made to set up the initial conditions of event-based models, such as in situ soil moisture measurements, retrieved soil moisture from the remote sensing products, and continuous soil moisture modeling. Among these methods, continuous soil moisture modeling using the daily data series to estimate sub-daily initial conditions would be a traditional solution, as suggested by Nalbantis (1995) (Tramblay et al, 2012) also tested different estimations of the antecedent moisture conditions of the catchment for an eventbased hydrological model and concluded that the continuous daily soil moisture accounting method performed the best. However, there might be some deficiencies in the continuous simulation of the SWAT model in this study.…”

Section: Event-based Simulation Vs Continuous Simulationmentioning

confidence: 99%

Improvement of the SWAT model for event-based flood simulation on a sub-daily timescale

Yu¹,

Xie²,

Dong³

et al. 2018

Hydrol. Earth Syst. Sci.

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Abstract. Flooding represents one of the most severe natural disasters threatening the development of human society. A model that is capable of predicting the hydrological responses in watershed with management practices during flood period would be a crucial tool for pre-assessment of flood reduction measures. The Soil and Water Assessment Tool (SWAT) is a semi-distributed hydrological model that is well capable of runoff and water quality modeling under changed scenarios. The original SWAT model is a long-term yield model. However, a daily simulation time step and a continuous time marching limit the application of the SWAT model for detailed, event-based flood simulation. In addition, SWAT uses a basin level parameter that is fixed for the whole catchment to parameterize the unit hydrograph (UH), thereby ignoring the spatial heterogeneity among the sub-basins when adjusting the shape of the UHs. This paper developed a method to perform event-based flood simulation on a sub-daily timescale based on SWAT2005 and simultaneously improved the UH method used in the original SWAT model. First, model programs for surface runoff and water routing were modified to a sub-daily timescale. Subsequently, the entire loop structure was broken into discrete flood events in order to obtain a SWAT-EVENT model in which antecedent soil moisture and antecedent reach storage could be obtained from daily simulations of the original SWAT model. Finally, the original lumped UH parameter was refined into a set of distributed ones to reflect the spatial variability of the studied area. The modified SWAT-EVENT model was used in the Wangjiaba catchment located in the upper reaches of the Huaihe River in China. Daily calibration and validation procedures were first performed for the SWAT model with long-term flow data from 1990 to 2010, after which sub-daily (Δt=2 h) calibration and validation in the SWAT-EVENT model were conducted with 24 flood events originating primarily during the flood seasons within the same time span. Daily simulation results demonstrated that the SWAT model could yield very good performances in reproducing streamflow for both whole year and flood period. Event-based flood simulation results simulated by the sub-daily SWAT-EVENT model indicated reliable performances, with ENS values varying from 0.67 to 0.95. The SWAT-EVENT model, compared to the SWAT model, particularly improved the simulation accuracies of the flood peaks. Furthermore, the SWAT-EVENT model results of the two UH parameterization methods indicated that the use of the distributed parameters resulted in a more reasonable UH characterization and better model fit compared to the lumped UH parameter.

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“…Moreover, several researchers in the field of hydrology (e.g. Littlewood and Croke, ; Littlewood et al ., ; Nalbantis, ; Wang et al ., ; Wang et al ., ; Wetterhall et al ., ) demonstrated the sensitivity of hydrological models to the temporal resolution of the input data. To assess the significance of this issue, this article aims to examine the effect of temporal resolution of input data on temporal variation of groundwater–surface water flux exchange.…”

Section: Introductionmentioning

confidence: 99%

Effect of temporal resolution of water level and temperature inputs on numerical simulation of groundwater–surface water flux exchange in a heavily modified urban river

Ebrahim

Hamonts

Griensven

et al. 2012

Hydrological Processes

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Groundwater interacts with surface water features nearly in all types of landscapes. Understanding these interactions has practical consequences on the quantity and quality of water in either system, because the depletion or contamination of one of the systems will eventually affect the other one. Many studies have shown that the use of heat as natural tracer in conjunction with water level measurements is an effective method for estimating water flow (fluxes) between groundwater and surface water. A number of studies have explored the effects of spatial and temporal variability of groundwater–surface water flux exchanges using temperature and water level measurements; however, the effect of temporal resolution of water level and temperature data on estimating flux remains unexplored. Therefore, this study investigated the effect of temporal resolution of input data on temporal variation of groundwater–surface water flux exchanges. To this end, we calibrated a variably saturated two‐dimensional groundwater flow and heat transport model (VS2DH) at hourly and daily time scales using temperatures measured at multiple depths below the riverbed of the Zenne River, located at a well‐known Belgian brownfield site. Results of the study showed that the computed water flux through the streambed ranged between −32 mm/day and +25 mm/day using the hourly model and from −10 mm/day to −37 mm/day using the daily model. The hourly model resulted in detecting reversal of flow direction inducing short‐term surface water flow into the streambed. However, such events were not captured if daily temperature and water level measurements were used as input. These findings have important implications for understanding contaminant mass flux and their attenuation in the mixing zone of groundwater and surface water. Copyright © 2012 John Wiley & Sons, Ltd.

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Use of multiple-time-step information in rainfall-runoff modelling

Cited by 17 publications

References 16 publications

Assessment of Hydrological Drought Revisited

Assessment of Hydrological Drought Revisited

Improvement of the SWAT model for event-based flood simulation on a sub-daily timescale

Effect of temporal resolution of water level and temperature inputs on numerical simulation of groundwater–surface water flux exchange in a heavily modified urban river

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