Conceptual hydrological model calibration using multi-objective optimization techniques over the transboundary Komadugu-Yobe basin, Lake Chad Area, West Africa

Adeyeri, Oluwafemi E.; Laux, Patrick; Arnault, Joël; Lawin, Agnidé Emmanuel; Kunstmann, Harald

doi:10.1016/j.ejrh.2019.100655

Cited by 25 publications

(30 citation statements)

References 65 publications

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“…This could be attributed to a common cause variation in both variables in the basins; i.e., the variations were predominantly caused by climate variability or human activities [56]. Furthermore, years characterized with high periodicities are mostly associated with a combined effect of a high degree of climate variability and high impact of human activities in a basin [57]. As observed, there are varying degrees of high periodicities in the basin.…”

Section: Discussionmentioning

confidence: 74%

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Climatic Variability and Periodicity for Upstream Sub-Basins of the Yangtze River, China

Ahmed

Wang

Booij

et al. 2020

Water

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The headwaters of the Yangtze River are located on the Qinghai Tibetan Plateau, which is affected by climate change. Here, treamflow trends for Tuotuohe and Zhimenda sub-basins and relations to temperature and precipitation trends during 1961–2015 were investigated. The modified Mann–Kendall trend test, Pettitt test, wavelet analysis, and multivariate correlation analysis was deployed for this purpose. The temperature and precipitation significantly increased for each sub-basin, and the temperature increase was more significant in Tuotuohe sub-basin as compared to the Zhimenda sub-basin. A statistically significant periodicity of 2–4 years was observed for both sub-basins in different time spans. Higher flow periodicities for Tuotuohe and Zhimenda sub-basin were found after 1991 and 2004, respectively, which indicates that these are the change years of trends in streamflows. The influence of temperature on streamflow is more substantial in Tuotuohe sub-basin, which will ultimately impact the melting of glaciers and snowmelt runoff in this sub-basin. Precipitation plays a more critical role in the Zhimenda streamflow. Precipitation and temperature changes in the headwaters of the Yangtze River will change the streamflow variability, which will ultimately impact the hydropower supply and water resources of the Yangtze Basin. This study contributes to the understanding of the dynamics of the hydrological cycle and may lead to better hydrologic system modeling for downstream water resource developments.

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Section: Discussionmentioning

confidence: 74%

“…As observed, there are varying degrees of high periodicities in the basin. This is an indication of the combined effect of climate variability and human activities in the basin [56,57].…”

Section: Discussionmentioning

confidence: 94%

Climatic Variability and Periodicity for Upstream Sub-Basins of the Yangtze River, China

Ahmed

Wang

Booij

et al. 2020

Water

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“…While assessment of a hydrological model's performance using multiple objective functions accounts for different uncertainties associated with a system (consequently producing representative set of the Pareto optimal solutions of model's parameters, preventing the simulation to be biased towards one objective function, and defining an exclusive solution that can maximize or minimize a particular independent preference [28,40]. For instance, the NSE represents the relative magnitude of the residual variance to observation variance [27] and could result in a misleading interpretation of model's ability [41]. Therefore different objective functions including NSE, KGE, R 2 , and PBI AS were used in this work to assess the performance of the HBV-light model during independent calibration and validation periods.…”

Section: Discussionmentioning

confidence: 99%

“…Therefore different objective functions including NSE, KGE, R 2 , and PBI AS were used in this work to assess the performance of the HBV-light model during independent calibration and validation periods. These periods were carefully selected to account for different hydrological processes including peak, average, and low streamflow [42], hence accounting for reduced errors [41].…”

Section: Discussionmentioning

confidence: 99%

Impacts of Climate Change on the Hydrometeorological Characteristics of the Soan River Basin, Pakistan

Usman¹,

Ndehedehe

Ahmad³

et al. 2021

Atmosphere

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The global hydrological cycle is vulnerable to changing climatic conditions, especially in developing regions, which lack abundant resources and management of freshwater resources. This study evaluates the impacts of climate change on the hydrological regime of the Chirah and Dhoke Pathan sub catchments of the Soan River Basin (SRB), in Pakistan, by using the climate models included in the NEX-GDDP dataset and the hydrological model HBV-light. After proper calibration and validation, the latter is forced with NEX-GDDP inputs to simulate a historic and a future (under the RCP 4.5 and RCP 8.5 emission scenarios) streamflow. Multiple evaluation criteria were employed to find the best performing NEX-GDDP models. A different ensemble was produced for each sub catchment by including the five best performing NEX-GDDP GCMs (ACCESS1-0, CCSM4, CESM1-BGC, MIROC5, and MRI-CGCM3 for Chirah and BNU-ESM, CCSM4, GFDL-CM3. IPSL-CM5A-LR and NorESM1-M for Dhoke Pathan). Our results show that the streamflow is projected to decrease significantly for the two sub catchments, highlighting the vulnerability of the SRB to climate change.

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“…The usual sources of uncertainty in hydrological modelling are linked to the structure of the models, the calibration procedures, erroneous data used for calibration/validation and parameter instability (e.g. Beck 1987;Beven 2006;Coron et al 2012;Brigode et al 2013;Poissant et al 2017;Adeyeri et al 2020c;Ben Jaafar & Bargaoui 2020). However, to our knowledge, except Hakala et al (2018), who investigated the effect of equifinality of RRM parameters on GCM-RCM rating, there is no study that investigated the effect of hydrological modelling uncertainties on GCM-RCM evaluation performed by the RRM.…”

Section: Introductionmentioning

confidence: 99%

Evaluating the impact of rainfall–runoff model structural uncertainty on the hydrological rating of regional climate model simulations

Dakhlaoui

Djebbi

2021

Journal of Water and Climate Change

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We propose to evaluate the impact of rainfall–runoff model (RRM) structural uncertainty on climate model evaluation, performed within a process-oriented framework using the RRM. Structural uncertainty is assessed with an ensemble approach using three conceptual RRMs (HBV, IHACRES and GR4J). We evaluate daily precipitation and temperature from 11 regional climate models forced by five general circulation models (GCM–RCMs), issued from EURO-CORDEX. The assessment was performed over the reference period (1970–2000) for five catchments situated in northern Tunisia. Seventeen discharge performance indexes were used to explore the representation of hydrological processes. The three RRMs performed well over the reference period, with Nash–Sutcliffe efficiency values ranging from 0.70 to 0.90 and bias close to 0%. The ranking of GCM–RCMs according to hydrological performance indexes is more meaningful before the bias correction, which considerably reduces the differences between GCM- and RCM-driven hydrological simulations. Our results illustrate a strong similarity between the different RRMs in terms of raw GCM–RCM performances over the reference period for the majority of performance indexes, in spite of their different model structures. This proves that the structural uncertainty induced by RRMs does not affect GCM–RCM evaluation and ranking, which contributes to consolidate the RRM as a standard tool for climate model evaluation.

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Conceptual hydrological model calibration using multi-objective optimization techniques over the transboundary Komadugu-Yobe basin, Lake Chad Area, West Africa

Cited by 25 publications

References 65 publications

Climatic Variability and Periodicity for Upstream Sub-Basins of the Yangtze River, China

Climatic Variability and Periodicity for Upstream Sub-Basins of the Yangtze River, China

Impacts of Climate Change on the Hydrometeorological Characteristics of the Soan River Basin, Pakistan

Evaluating the impact of rainfall–runoff model structural uncertainty on the hydrological rating of regional climate model simulations

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