Does increased hydrochemical model complexity decrease robustness?

Medici, Chiara; Wade, Andrew J.; Francés, Félix

doi:10.1016/j.jhydrol.2012.02.047

Cited by 25 publications

(23 citation statements)

References 40 publications

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“…A general sensitivity analysis using Monte Carlo (MC) simulations (Hornberger and Spear, ) as carried out by Medici et al . () was applied to the LU4 model.…”

Section: Methodsmentioning

confidence: 99%

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Investigating the behaviour of a small Mediterranean catchment using three different hydrological models as hypotheses

Ruiz-Pérez

Medici

Latron

et al. 2016

Hydrological Processes

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Abstract:Mediterranean catchments are characterized by strong nonlinearities in their hydrological behaviour. Properly simulating those nonlinearities still represents a great challenge and, at the same time, an important issue in order to improve our knowledge of their hydrological behaviour. The main aim of this work is find out diverse modelling approaches to reproduce the observed nonlinear hydrological behaviour in a small Mediterranean catchment, Can Vila (Vallcebre, NE Spain). To this end, three hydrological models were considered: two lumped models called LU3 and LU4 of increasing complexity, and a distributed model called TETIS. The structures of these different models were used as hypotheses, which could explain and reproduce the observed nonlinear behaviour at the outlet. Four analyses were carried out: (i) goodness-of-fit criteria analysis, (ii) residual errors analysis, (iii) sensitivity analysis and (iv) multicriteria analysis based on the concept of Pareto Optimal. These analyses showed the higher capability and robustness of the distributed model to reproduce the observed complex hydrological behaviour in this catchment.

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“…A general sensitivity analysis using Monte Carlo (MC) simulations (Hornberger and Spear, ) as carried out by Medici et al . () was applied to the LU4 model.…”

Section: Methodsmentioning

confidence: 99%

“…We restricted this analysis to the LU4 model in order to know specifically the importance of the additional slow baseflow and the included nonlinearity. A general sensitivity analysis using Monte Carlo (MC) simulations (Hornberger and Spear, 1980) as carried out by Medici et al (2012) was applied to the LU4 model.…”

Section: Hypotheses Testingmentioning

confidence: 99%

Investigating the behaviour of a small Mediterranean catchment using three different hydrological models as hypotheses

Ruiz-Pérez

Medici

Latron

et al. 2016

Hydrological Processes

Self Cite

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“…In consequence, the higher is the KS stat , the more influential on the model performance is the parameter. For more details in other practical cases, see, for example, Wade et al (2001), Medici et al (2012) or Pasquato et al (2014). The selection of CCI and κ thresholds for the separation of the two groups, behavioural and non-behavioural, is not an easy task.…”

Section: Model General Sensitivity Analysismentioning

confidence: 99%

The RVDM: modelling impacts, evolution and competition processes to determine riparian vegetation dynamics

García-Arias

Francés

2015

Ecohydrology

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RVDM is an ecohydrological model aimed to study the vegetation dynamics in riparian areas that represents an upgrade respect to previous tools in the way of understanding the riparian dynamics. Important novelties are proposed by this tool, including a high temporal resolution (daily time step), a proposal of a new plant classification approach useful for research and management (successional plant functional types or SPFTs), good representation of the key processes that determine the vegetation dynamics in riparian areas (drought and flood impacts, recruitment, growth, succession and competition), an easy implementation, and feasible inclusion of river morphodynamics in the model implementation (including different daily elevation and soil maps in the inputs). The model implementation in a Mediterranean semi-arid study site resulted satisfactorily (cell by cell calibration accuracy ≥ 65%, cell by cell validation accuracy between 40% and 60%), demonstrating the great potential of this approach for future research and management applications. Although 36 parameters are included in the model conceptualization, the global sensitivity analysis demonstrated that only 8 types of parameters are actually influent.. These parameters are: minimum time since mixed for transition to terrestrial, root depths, transpiration factors, critical shear stress of early stages, minimum biomass required to allow succession, germination minimum capillary water content in the upper soil, effective depth considered for evaporation from bare soil and coverage of pioneers. RVDM model will be a useful tool for gaining a better understanding of the riparian plants behaviour under different ecohydrological conditions.

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“…The new methodology to be developed is easily transferable to similar catchments, and must take into account the soft information, or knowledge, about catchment hydrology. Sediment proxy data and soft information help constraining model calibration, analogously to what stated by Medici et al [2012], who demonstrated the utility of water quality data for restricting the calibration of an hydrological model.…”

Section: Introduction and Goalsmentioning

confidence: 70%

Implementation of a distributed sediment model in different data availability scenarios.

Bussi¹

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Soil erosion by water can cause agricultural soil losses, desertification, water pollution, reservoir sedimentation, local excess of erosion (such as bridge scour) or deposition, etc. For this reason, the assessment of soil erosion and sediment transport is a key component of integrated catchment management. One of the most useful and up-to-date tools available to catchment managers for soil erosion and sediment transport assessment is distributed modelling. During the last few decades, many sedimentological distributed models were developed and applied for a wide range of climates and basins. Their main advantage is that they allow spatial interpolation or extrapolation of their results. Nevertheless, their use is still limited by some constraints. One of the most relevant limitations to the use of such models is the lack of recorded sediment transport data to be used for model calibration and validation. It is widely recognised that both sediment discharge series and soil erosion measurements are only available in a few and small-to medium-size experimental catchments. The aim of this dissertation is to investigate the possibility of using reservoir sedimentation data as a source of proxy information for sedimentological model calibration and validation. In order to carry out this task, a distributed sedimentological model called TETIS was tested in set of catchments with different sediment data availability. First of all, the TETIS model, developed over the last years by the research group of hydrological and environmental modelling of the Technical University of Valencia, is described, especially focusing on the new features developed within this dissertation (sedimentological sub-model automatic calibration algorithm, small pond sediment retention module, etc.). Then, the model is applied to three catchments with different sediment data availability. The first case-study is the Goodwin Creek catchment (Mississippi, US), an experimental catchment with high sediment transport data availability. The model performance is evaluated, and some considerations are made on the estimation of the sediment volume deposited into the drainage network at the beginning of a rainstorm. The second case-study is the Rambla del Poyo catchment (Valencia, Spain), a medium size semi-arid catchment draining to a coastal lagoon with severe sedimentation problems. The TETIS sedimentological sub-model is calibrated and validated using checkdam sedimentation volumes as an estimator of the total sediment transport. A detailed description of the alluvial stratigraphy infilling a check dam that drains a 12.9 km 2 subcatchment was used as indirect information of sediment yield data. A further application was also developed in this catchment in order to investigate the possibility of calibrating and validating both the hydrological and the sediment sub-models by using reservoir sedimentation volumes and employing neither water nor sediment discharge direct records. The third case-study is the Ésera River catchment (Huesca, Spain), a...

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Does increased hydrochemical model complexity decrease robustness?

Cited by 25 publications

References 40 publications

Investigating the behaviour of a small Mediterranean catchment using three different hydrological models as hypotheses

Investigating the behaviour of a small Mediterranean catchment using three different hydrological models as hypotheses

The RVDM: modelling impacts, evolution and competition processes to determine riparian vegetation dynamics

Implementation of a distributed sediment model in different data availability scenarios.

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