A global sensitivity analysis tool for the parameters of multi-variable catchment models

Griensven, Ann van; Meixner, Thomas; Grunwald, Sabine; Bishop, Thomas; DiLuzio, M.; Srinivasan, R.

doi:10.1016/j.jhydrol.2005.09.008

Cited by 1,028 publications

(583 citation statements)

References 25 publications

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“…For instance, patterns plots (e.g. van Werkhoven et al, 2008) can be very effective to visualize large sets of sensitivity indices, e.g. when the number of input factors is large or when analysing the variations of output sensitivity across a wide temporal or spatial domain.…”

Section: Visualize Resultsmentioning

confidence: 99%

“…Several variants of the sampling strategy by Morris have been proposed, including the LH-OAT approach proposed by van Griensven et al (2006), where the starting points of each trajectory are generated by Latin-Hypercube sampling rather than random sampling over a grid; and the approach by Campolongo et al (2007), where a high number of trajectories are generated and a subset of r trajectories is selected so to maximise the overall spread over the input space. A different approach to OAT sampling is the radial-based design, where the variations D i are all taken starting from the same (randomly selected) point in the input space.…”

Section: Multiple-starts Perturbation Methodsmentioning

confidence: 99%

“…Sensitivity indices can be computed at different temporal resolutions, therefore obtaining their temporal evolution over the simulation horizon (Wagener and Harvey, 1997;Wagener et al, 2003;Cloke et al, 2008;Reusser and Zehe, 2011;Kelleher et al, 2013;Guse et al, 2014). A similar approach can be applied to the aggregation of spatial patterns into a single output function, whose resolution can be varied in order to capture the space-variability of sensitivities across the model domain (Tang et al, 2007a;van Werkhoven et al, 2008). Time-varying or spatially-varying SA is especially useful to provide new insights about the dynamics of the model (e.g.…”

Section: Experimental Set-up: Define Input Factors and Outputmentioning

confidence: 99%

See 2 more Smart Citations

Sensitivity Analysis of Environmental Models: A Systematic Review with Practical Workflow

Pianosi

Wagener

Rougier

et al. 2014

Vulnerability, Uncertainty, and Risk

256

416

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a b s t r a c tSensitivity Analysis (SA) investigates how the variation in the output of a numerical model can be attributed to variations of its input factors. SA is increasingly being used in environmental modelling for a variety of purposes, including uncertainty assessment, model calibration and diagnostic evaluation, dominant control analysis and robust decision-making. In this paper we review the SA literature with the goal of providing: (i) a comprehensive view of SA approaches also in relation to other methodologies for model identification and application; (ii) a systematic classification of the most commonly used SA methods; (iii) practical guidelines for the application of SA. The paper aims at delivering an introduction to SA for non-specialist readers, as well as practical advice with best practice examples from the literature; and at stimulating the discussion within the community of SA developers and users regarding the setting of good practices and on defining priorities for future research.

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Section: Visualize Resultsmentioning

confidence: 99%

Section: Multiple-starts Perturbation Methodsmentioning

confidence: 99%

Section: Experimental Set-up: Define Input Factors and Outputmentioning

confidence: 99%

See 1 more Smart Citation

Sensitivity Analysis of Environmental Models: A Systematic Review with Practical Workflow

Pianosi

Wagener

Rougier

et al. 2014

Vulnerability, Uncertainty, and Risk

256

416

View full text Add to dashboard Cite

show abstract

“…Sensitivity analysis was carried out to identify the most sensitive parameters for the model calibration using Latin hypercube and one-factor-at-a-time (LH-OAT), an automatic sensitivity analysis tool implemented in SWAT (Van Griensven et al 2006). Those sensitive parameters were calibrated using the auto-calibration tool that is currently available in the SWAT interface (Van Liew et al 2005).…”

Section: Swat Model Set-upmentioning

confidence: 99%

Impact of climate and land-use changes on hydrological processes and sediment yield—a case study of the Be River catchment, Vietnam

Khôi

Suetsugi

2014

Hydrological Sciences Journal

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The impact of climate and land-use changes on hydrological processes and sediment yield is investigated in the Be River catchment, Vietnam, using the Soil and Water Assessment Tool (SWAT) hydrological model. The sensitivity analysis, model calibration and validation indicated that the SWAT model could reasonably simulate the hydrology and sediment yield in the catchment. From this, the responses of the hydrology and sediment to climate change and land-use changes were considered. The results indicate that deforestation had increased the annual flow (by 1.2%) and sediment load (by 11.3%), and that climate change had also significantly increased the annual streamflow (by 26.3%) and sediment load (by 31.7%). Under the impact of coupled climate and land-use changes, the annual streamflow and sediment load increased by 28.0% and 46.4%, respectively. In general, during the 1978-2000 period, climate change influenced the hydrological processes in the Be River catchment more strongly than the land-use change.Key words climate change; hydrology; land-use change; sediment yield; SWAT model; Be River catchment, Vietnam Impact des changements climatiques et de l'utilisation des terres sur les processus hydrologiques et la production de sédiments-étude de cas du bassin versant de la rivière Be, Vietnam Résumé L'impact des changements du climat et de l'utilisation des terres sur les processus hydrologiques et l'apport de sédiments dans le bassin versant de la rivière Be (Vietnam) a été étudié en utilisant le modèle hydrologique SWAT. L'analyse de sensibilité, l'étalonnage et la validation des modèles indique que le modèle SWAT peut raisonnablement simuler l'hydrologie et la charge sédimentaire dans le bassin versant. C'est donc avec cet outil que les réponses de l'hydrologie et des sédiments au changement climatique et au changement d'utilisation des terres ont été étudiées. Les résultats indiquent que la déforestation a augmenté l'écoulement annuel (1,2%) et la charge sédimentaire (11,3%), et que le changement climatique a également augmenté de manière significative le débit annuel (26,3%) et la charge sédimentaire (31,7%). Sous l'impact couplé du changement climatique et du changement d'utilisation des terres, l'écoulement annuel et la charge de sédiments ont respectivement augmenté de 28% et 46,4%. En général, le changement climatique a eu une influence plus importante sur les processus hydrologiques que le changement d'utilisation des terres dans le bassin versant de la rivière Be durant la période 1978-2000.Mots clefs changement climatique ; hydrologie ; changement d'utilisation des terres ; production de sédiments ; modèle SWAT ; bassin versant de la rivière Be, Vietnam

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“…This change in climate causes a significant impact on the water resource by disturbing the normal hydrological processes. Future change in overall flow magnitude, variability and timing of the main flow event are among the most frequently cited hydrological issues [3,4].…”

Section: Introductionmentioning

confidence: 99%

Simulation of Hydro Climatological Impacts Caused by Climate Change: The Case of Hare Watershed, Southern Rift Valley of Ethiopia

Yisehak¹

2017

Hydrol Current Res

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Ethiopia will be more vulnerable to climate change. Because of the less flexibility to adjust the economic structure and being largely dependent on agriculture, the impact of climate change has far reaching implication in Ethiopia. Simulation models of watershed hydrology and water quality are extensively used for water resources planning and management. The study aims to Simulate Hydro Climatological impacts caused by Climate Change: the case of Hare Watershed, Southern Rift Valley of Ethiopia. In the study the daily data values of rainfall and discharge for the current period of 1980-2006 were used. Historical Representative Concentration Pathway (RCPs) data of precipitation and temperature were used to extract raw climate variables. The raw RCPs data were corrected using a bias correction method. The downscaled climate data such as, RCP4.5 and RCP8.5 scenarios was used for the future period assessment. Soil water assessment tool (SWAT) models were used to Simulate Hydro Climatological impacts caused by Climate Change. Calibration and validation of the model output were performed by comparing 8.0, and 13.9% at 2020s, 2050s, and 2080s, respectively, from the baseline period for RCP4.5 scenario, whereas for RCP8.5 scenario, it will be expected to increase by 7.3, 13.4, and 15.4% for 2020s, 2040s, and 2080s, respectively. The model simulations considered only future climate change scenarios assuming all spatial data constant. But change in land use scenarios other climate variables will also contribute some impacts on future stream flow.

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A global sensitivity analysis tool for the parameters of multi-variable catchment models

Cited by 1,028 publications

References 25 publications

Sensitivity Analysis of Environmental Models: A Systematic Review with Practical Workflow

Sensitivity Analysis of Environmental Models: A Systematic Review with Practical Workflow

Impact of climate and land-use changes on hydrological processes and sediment yield—a case study of the Be River catchment, Vietnam

Simulation of Hydro Climatological Impacts Caused by Climate Change: The Case of Hare Watershed, Southern Rift Valley of Ethiopia

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