Modelling the hydrology of a catchment using a distributed and a semi‐distributed model

El-Nasr, Ahmed Abu; Arnold, Jeffrey G.; Feyen, Jan; Berlamont, Jean

doi:10.1002/hyp.5610

Cited by 107 publications

(65 citation statements)

References 27 publications

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“…The HIMS model provides multiple choices describing each of the water cycling processes, accounts for the combined runoff generation mechanisms, and adds a runoff generation model like LCM [19,20] as well as a newly explored solving method of channel routing model [23,24]. Even though the existing models like the MIKE-SHE [37][38][39] and HEC-HMS [40,41] modularize the water cycling processes and technologies like the open modeling interface (OpenMI) technology [42][43][44][45] provide an environment of integrating the hydrological modules, the advantages of HIMS are not covered. Besides the characteristic of flexible structure, the HIMS model is suitable for un-gauged areas and areas of various channel routing scenarios with the friendly user interface and theoretically improved runoff generation and concentration models.…”

Section: Discussionmentioning

confidence: 99%

A Flexible Framework HydroInformatic Modeling System—HIMS

Wang

Liu

et al. 2018

Water

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Abstract:It is important to simulate streamflow with hydrological models suitable for the particular study areas, as the hydrological characteristics of water cycling processes are distinctively different due to spatial heterogeneity at the watershed scale. However, most existing hydrological models cannot be customized to simulate water cycling processes of different areas due to their fixed structures and modes. This study developed a HydroInformatic Modeling System (HIMS) model with a flexible structure which had multiple equations available to describe each of the key hydrological processes. The performance of the HIMS model was evaluated with the recommended structure for semi-arid areas by comparisons with two datasets of observed streamflow: the first one of 53 Australian watersheds, the second one of the Lhasa River basin in China. Based on the first dataset, the most appropriate watersheds were identified for the HIMS model utilization with areas of 400-600 km 2 and annual precipitation of 800-1200 mm. Based on the second dataset, the model performance was statistically satisfied with Nash-Sutcliffe Efficient (NSE) greater than 0.87 and Water Error (WE) within ±20% on the streamflow simulation at hourly, daily, and monthly time steps. In addition, the water balance was mostly closed with respect to precipitation, streamflow, actual evapotranspiration (ET), and soil moisture change at the annual time steps in both the periods of calibration and validation. Therefore, the HIMS model was reliable in estimating streamflow and simulating the water cycling processes for the structure of semi-arid areas. The simulated streamflow of HIMS was compared with those of the Variable Infiltration Capacity model (VIC) and Soil and Water Assessment Tool (SWAT) models and we found that the HIMS model performed better than the SWAT model, and had similar results to the VIC model with combined runoff generation mechanisms.

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Section: Discussionmentioning

confidence: 99%

A Flexible Framework HydroInformatic Modeling System—HIMS

Wang

Liu

et al. 2018

Water

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“…These watershed models are increasingly used to assess alternative strategies for improved water resources management [77,78]. However, manipulating model parameters during calibration is a challenge [79] because of overparametrization of hydrologic models [80]. Taking into account various sources of uncertainty is therefore an essential and integrated part of hydrological modeling for reliable predictions of streamflow and sediment yield.…”

Section: Model Prediction Uncertaintymentioning

confidence: 99%

Streamflow and Sediment Yield Prediction for Watershed Prioritization in the Upper Blue Nile River Basin, Ethiopia

Ayele

Teshale

et al. 2017

Water

127

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Inappropriate use of land and poor ecosystem management have accelerated land degradation and reduced the storage capacity of reservoirs. To mitigate the effect of the increased sediment yield, it is important to identify erosion-prone areas in a 287 km 2 catchment in Ethiopia. The objectives of this study were to: (1) assess the spatial variability of sediment yield; (2) quantify the amount of sediment delivered into the reservoir; and (3) prioritize sub-catchments for watershed management using the Soil and Water Assessment Tool (SWAT). The SWAT model was calibrated and validated using SUFI-2, GLUE, ParaSol, and PSO SWAT-CUP optimization algorithms. For most of the SWAT-CUP simulations, the observed and simulated river discharge were not significantly different at the 95% level of confidence (95PPU), and sources of uncertainties were captured by bracketing more than 70% of the observed data. This catchment prioritization study indicated that more than 85% of the sediment was sourced from lowland areas (slope range: 0-8%) and the variation in sediment yield was more sensitive to the land use and soil type prevailing in the area regardless of the terrain slope. Contrary to the perception of the upland as an important source of sediment, the lowland in fact was the most important source of sediment and should be the focus area for improved land management practice to reduce sediment delivery into storage reservoirs. The research also showed that lowland erosion-prone areas are typified by extensive agriculture, which causes significant modification of the landscape. Tillage practice changes the infiltration and runoff characteristics of the land surface and interaction of shallow groundwater table and saturation excess runoff, which in turn affects the delivery of water and sediment to the reservoir and catchment evapotranspiration.

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“…The closer the values of RMSE and ABSERR to zero, and R 2 to unity, the better the model performance is evaluated (Abu El-Nasr et al, 2005). Percent bias (PBIAS) measures the average tendency, expressed as a percentage of the simulated data to be larger or smaller than their observed counterparts (Gupta et al, 1999).…”

Section: Models Performance Verificationmentioning

confidence: 99%

Analytical and numerical study of the salinity intrusion in the Sebou river estuary (Morocco) – effect of the “Super Blood Moon” (total lunar eclipse) of 2015

Haddout

Igouzal

Maslouhi

2016

Hydrol. Earth Syst. Sci.

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Abstract. The longitudinal variation of salinity and the maximum salinity intrusion length in an alluvial estuary are important environmental concerns for policy makers and managers since they influence water quality, water utilization and agricultural development in estuarine environments and the potential use of water resources in general. The supermoon total lunar eclipse is a rare event. According to NASA, they have only occurred 5 times in the 1900s – in 1910, 1928, 1946, 1964 and 1982. After the 28 September 2015 total lunar eclipse, a Super Blood Moon eclipse will not recur before 8 October 2033. In this paper, for the first time, the impact of the combination of a supermoon and a total lunar eclipse on the salinity intrusion along an estuary is studied. The 28 September 2015 supermoon total lunar eclipse is the focus of this study and the Sebou river estuary (Morocco) is used as an application area. The Sebou estuary is an area with high agricultural potential, is becoming one of the most important industrial zones in Morocco and it is experiencing a salt intrusion problem. Hydrodynamic equations for tidal wave propagation coupled with the Savenije theory and a numerical salinity transport model (HEC-RAS software "Hydrologic Engineering Center River Analysis System") are applied to study the impact of the supermoon total lunar eclipse on the salinity intrusion. Intensive salinity measurements during this extreme event were recorded along the Sebou estuary. Measurements showed a modification of the shape of axial salinity profiles and a notable water elevation rise, compared with normal situations. The two optimization parameters (Van der Burgh's and dispersion coefficients) of the analytical model are estimated based on the Levenberg–Marquardt's algorithm (i.e., solving nonlinear least-squares problems). The salinity transport model was calibrated and validated using field data. The results show that the two models described very well the salt intrusion during the supermoon total lunar eclipse day. A good fit between computed salinity and measurements is obtained, as verified by statistical performance tests. These two models can give a rapid assessment of salinity distribution and consequently help to ensure the safety of the water supply, even during such infrequent astronomical phenomenon.

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Modelling the hydrology of a catchment using a distributed and a semi‐distributed model

Cited by 107 publications

References 27 publications

A Flexible Framework HydroInformatic Modeling System—HIMS

A Flexible Framework HydroInformatic Modeling System—HIMS

Streamflow and Sediment Yield Prediction for Watershed Prioritization in the Upper Blue Nile River Basin, Ethiopia

Analytical and numerical study of the salinity intrusion in the Sebou river estuary (Morocco) – effect of the “Super Blood Moon” (total lunar eclipse) of 2015

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