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Pioneering research for sustainable development

CITEEC carries out pioneering research in civil engineering, materials, sustainability and infrastructure. Thanks to multidisciplinary projects and international collaborations, scientific papers are being published that address key challenges facing the sector. This section presents the main papers and results produced by our research groups.

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Pioneering research for sustainable development

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2011

Cea-Gómez, Luis; Bermúdez, María; Puertas-Agudo, Jerónimo

Uncertainty and sensitivity analysis of a depth-averaged water quality model for evaluation of Escherichia Coli concentration in shallow estuaries Journal Article

In: Environmental Modelling and Software, vol. 26, no. 12, pp. 1526-1539, 2011, ISSN: 13648152, (cited By 30).

Abstract | Links | BibTeX | Tags: Analysis of variance (ANOVA); Calibration; Computer simulation; Escherichia coli; Estuaries; Monte Carlo methods; Quality assurance; Quality control; Radiation effects; Regression analysis; Sensitivity analysis; Sun; Water quality, Depth-averaged modelling; Monte Carlo Simulation; Sensitivity; Uncertainty; Water quality modelling, Escherichia coli, Uncertainty analysis

@article{Cea20111526,

title = {Uncertainty and sensitivity analysis of a depth-averaged water quality model for evaluation of Escherichia Coli concentration in shallow estuaries},

author = {Luis Cea-Gómez and María Bermúdez and Jerónimo Puertas-Agudo},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84855511004&doi=10.1016%2fj.envsoft.2011.08.001&partnerID=40&md5=0eb5560b721bac147dd0b5ccc2f9587f},

doi = {10.1016/j.envsoft.2011.08.001},

issn = {13648152},

year  = {2011},

date = {2011-01-01},

urldate = {2011-01-01},

journal = {Environmental Modelling and Software},

volume = {26},

number = {12},

pages = {1526-1539},

abstract = {Sensitivity and uncertainty analysis investigate the robustness of numerical model predictions and provide information about the factors that contribute most to the variability of model output, identifying the most important parameters for model calibration. This paper presents a sensitivity and uncertainty analysis of a 2D depth-averaged water quality model applied to a shallow estuary. The model solves the mass transport equation for Escherichia Coli, including the effects of water temperature, salinity, solar radiation, turbulent diffusion and short wave dispersion. The sensitivity of the concentration of E. Coli in the estuary to input parameters and the different sources of uncertainty are studied using Global Sensitivity Analysis based on Monte Carlo simulation methods and sensitivity measures based on linear and non-linear regression analysis, in order to aid modellers in the calibration process and in the interpretation of model output. The extinction coefficient of light in water and the depth of the vertical layer over which the E.coli spread were found to be the most relevant parameters of the model. In the shallowest regions of the estuary errors in the bathymetry are also an important source of uncertainty on model output. Globally, the combination of these three parameters was found to be very effective for calibration purposes in the whole estuary. © 2011 Elsevier Ltd.},

note = {cited By 30},

keywords = {Analysis of variance (ANOVA); Calibration; Computer simulation; Escherichia coli; Estuaries; Monte Carlo methods; Quality assurance; Quality control; Radiation effects; Regression analysis; Sensitivity analysis; Sun; Water quality, Depth-averaged modelling; Monte Carlo Simulation; Sensitivity; Uncertainty; Water quality modelling, Escherichia coli, Uncertainty analysis},

pubstate = {published},

tppubtype = {article}

}