Improvement and comparative assessment of a hydrological modelling approach on 20 catchments of various sizes under different climate conditions

Gaba, O. U. Charlene; Alamou, Eric Adéchina; Afouda, Abel; Diekkrüger, Bernd

doi:10.1080/02626667.2017.1330542

Cited by 6 publications

(9 citation statements)

References 31 publications

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“…[35] compared the performance of nine lumped models and concluded that ModHyPMA is the most appropriate model for the application of this model in the Mékrou catchment. Schematic structure of (a) ModHyPMA [33]; (b) HBV [36]; (c) AWBM [37]; and (d) SimHyd [37]. Figure 3.…”

Section: O Modhypmamentioning

confidence: 99%

“…The value of TX is obtained by calibration. ModHyPMA is quite new and has been used for several Benin basins with better results than those of 'Génie Rural à 4 paramètres Journaliers' (GR4J) and HBV [32][33][34]. Ref.…”

Section: O Modhypmamentioning

confidence: 99%

“…In fact, in semi-arid and sub-humid areas, a certain amount of rainfall is required before discharge starts. In order to account for this amount, parameter TX has been introduced as a threshold [33]. The amount depends on catchment properties such as geology, topography, and land use.…”

Section: O Modhypmamentioning

confidence: 99%

“…Figure 3. Schematic structure of (a) ModHyPMA [33]; (b) HBV [36]; (c) AWBM [37]; and (d) SimHyd [37].…”

Section: O Modhypmamentioning

confidence: 99%

“…where Q (mm/day) represents the discharge, t (day) represents the time, q (mm/day) represents the net rainfall, ν and λ are the model parameters, and X (mm) describes the state (dry or wet) of the catchment [32,33]. While ν expresses the nonlinearity of the physical phenomenon of water flow, λ is a macroscopic parameter that describes the properties related to the geomorphology and pedology of the catchment.…”

Section: O Modhypmamentioning

confidence: 99%

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Assessment of Future Water Resources Availability under Climate Change Scenarios in the Mékrou Basin, Benin

2017

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Abstract:This work aims to evaluate future water availability in the Mékrou catchment under climate change scenarios. To reach this goal, data from Regional Climate Models (RCMs) were used as the input for four rainfall-runoff models which are ModHyPMA (Hydrological Model based on Least Action Principe), HBV (Hydrologiska Byråns Vattenbalansavdelning), AWBM (Australian Water Balance Model), and SimHyd (Simplified Hydrolog). Then the mean values of the hydro-meteorological data of three different projected periods (2011-2040, 2041-2070 and 2071-2100) were compared to their values in the baseline period. The results of calibration and validation of these models show that the meteorological data from RCMs give performances that are as good as performances obtained with the observed meteorological data in the baseline period. The comparison of the mean values of the hydro-meteorological data of the baseline period to their values for the different projected periods indicates that for PET there is a significantly increase until 2100 for both Representative Concentration Pathway 4.5 (RCP4.5) and RCP8.5 scenarios. Therefore, the rate's increase of potential evapotranspiration (PET) under the RCP8.5 scenario is higher than that obtained under the RCP8.5 scenario. Changes in rainfall amounts depend on the scenario of climate change and the projected periods. For the RCP4.5 scenario, there is a little increase in the annual rainfall amounts over the period from 2011 to 2040, while there is a decrease in the rainfall amounts over the other two projected periods. According to the RCP8.5 scenario, the contrary of changes observed with the RCP4.5 scenario are observed. At a monthly scale, the rainfall amounts will increase for August and September and decrease for July and October. These changes in rainfall amounts greatly affect yearly and monthly discharge at the catchment outlet. Over the three projected periods and for both RCP4.5 and RCP8.5, the mean annual discharge will significantly increase related to the baseline periods. However, the magnitude of increases will depend on the projected period and the RCP scenario. At a monthly scale, it was found that runoff increases significantly from August to November for all projected periods and the climate change scenario.

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Section: O Modhypmamentioning

confidence: 99%

Section: O Modhypmamentioning

confidence: 99%

Section: O Modhypmamentioning

confidence: 99%

“…Figure 3. Schematic structure of (a) ModHyPMA [33]; (b) HBV [36]; (c) AWBM [37]; and (d) SimHyd [37].…”

Section: O Modhypmamentioning

confidence: 99%

Section: O Modhypmamentioning

confidence: 99%

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Assessment of Future Water Resources Availability under Climate Change Scenarios in the Mékrou Basin, Benin

2017

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Quality of flood extents delineated by a non-hydrodynamic GIS tool

Caletka

Michalková

Martin

et al. 2019

CATENA

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Suitability of a lumped rainfall–runoff model for flashy tropical watersheds in New Caledonia

Desclaux

Lemonnier

Genthon

et al. 2018

Hydrological Sciences Journal

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The GR4H lumped hourly rainfall-runoff model was assessed for its integration in a ridge-to-reef modelling framework. Particular attention was paid to rainfall representation, robustness of parameter estimates and ability to reproduce main runoff features. The study was conducted in four tropical mountainous watersheds in New Caledonia, exposed to intense rainfall events, large annual climatic variations triggered by El Niño oscillation, and wildfires. The inverse distance and elevation weighting algorithm outperformed other classical rainfall interpolation methods under data-limited conditions. The time-span of data needed for robust calibration was site-specific and varied from 6-7 years to 10 years, which may be linked to El Niño events and to wildfires. With sufficient data, simulation quality was equivalent during calibration and validation periods. The GR4H model was generally able to simulate both flash floods and large annual variations. The model was more reliable when simulating wet years and watersheds not subject to land-cover changes.

show abstract

Improvement and comparative assessment of a hydrological modelling approach on 20 catchments of various sizes under different climate conditions

Cited by 6 publications

References 31 publications

Assessment of Future Water Resources Availability under Climate Change Scenarios in the Mékrou Basin, Benin

Assessment of Future Water Resources Availability under Climate Change Scenarios in the Mékrou Basin, Benin

Quality of flood extents delineated by a non-hydrodynamic GIS tool

Suitability of a lumped rainfall–runoff model for flashy tropical watersheds in New Caledonia

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