Global sensitivity analysis of a shallow-water 3D eutrophication model

Pastres, Roberto; Chan, Karen; Solidoro, Cosimo; Dejak, C.

doi:10.1016/s0010-4655(98)00164-7

Cited by 30 publications

(16 citation statements)

References 8 publications

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“…Pastres et al, 1999). The choice among these different alternatives depends on the degree of acceptability of the linearity and/or monotonicity assumption between inputs and output.…”

Section: Correlation and Regression Analysis Methodsmentioning

confidence: 99%

“…What are critical values of the system drivers that induce threshold effects in the decision objectives? An early application of this type is reported in Pastres et al (1999), who apply SA to a shallow water system to estimate the interactions between controllable system drivers (e.g. nitrogen load) and uncontrollable ones (e.g.…”

Section: Sa Dominant Controls Analysis and Robust Decision-makingmentioning

confidence: 99%

“…Hamm et al, 2006); to analyse the dominant controls of a system (e.g. Pastres et al, 1999); to support robust decision-making (e.g. Nguyen and de Kok, 2007;Singh et al, 2014;Anderson et al, 2014).…”

Section: Introductionmentioning

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

257

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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“…Pastres et al, 1999). The choice among these different alternatives depends on the degree of acceptability of the linearity and/or monotonicity assumption between inputs and output.…”

Section: Correlation and Regression Analysis Methodsmentioning

confidence: 99%

Section: Sa Dominant Controls Analysis and Robust Decision-makingmentioning

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

257

416

View full text Add to dashboard Cite

show abstract

“…Furthermore, in 1992 a new connection was opened in the sand barrier separating the lagoon from open sea as a consequence of a strong anoxic crisis which followed a wide macroalgal bloom. A full 3D hydrodynamic-biogeochemical model is not easy to calibrate and to validate (Pastres et al, 1999;Lancelot et al, 2002). However, each of the sub-models included into the biogeochemical model developed in this study were already validated.…”

Section: Discussionmentioning

confidence: 99%

Integrated modelling in coastal lagoons: Sacca di Goro case study

et al. 2008

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A coupled 3D hydrodynamic-biogeochemical model was developed and implemented for the Sacca di Goro coastal lagoon. The model considers nutrient and oxygen dynamics in water column and sediments. Among the biological elements, phytoplankton, zooplankton, bacteria, Ulva sp. and commercial shellfish (Tapes philippinarum) were taken into consideration. Nutrients fluxes from the watershed and open sea, as well as atmospheric inputs, heat flux, light intensity and wind shear stress at the water surface constituted the model forcing functions.The comparison of numerical results with available measurement data indicated that the model was able to capture the essential dynamics of the lagoon. This model has also been used to estimate clam productivity and its impacts on water quality and lagoon properties.

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“…Following Wainwright et al (2013), we carry out a local, one-(factor-)at-atime (OAT) SA as a first step, followed by the global, variance-based method of Sobol ' (1990, 1993). This method has been successfully applied to similar models examining Ulva in coastal lagoon systems, for example by Pastres et al (1999) to a dynamic simulation model with higher complexity (15 state variables) on a shorter time scale (one year). Although computationally more efficient algorithms are available, for example the Fourier amplitude sensitivity test (FAST, Cukier et al, 1973), since evaluating the algebraic steady-state solution in this study requires very little computation time, preference was given to the straightforward sampling and analysis procedure of Sobol'.…”

Section: Calibration and Sensitivity Analysismentioning

confidence: 99%