Receiving water body quality assessment: an integrated mathematical approach applied to an Italian case study

Candela, Angela; Freni, Gabriele; Mannina, Giorgio; Viviani, Gaspare

doi:10.2166/hydro.2011.099

Cited by 14 publications

(11 citation statements)

References 50 publications

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“…europa.eu/data-and-maps/data/corine-land-cover-2006-raster-2). Many research studies have used the CORINE dataset as input for SWAT to model the hydrology of European catchments; examples of such studies include Nasr et al (2007) in Ireland, Candela et al (2012) in Italy, and Koch et al (2013) in Germany.…”

Section: Introductionmentioning

confidence: 99%

Evaluating the impact of land use uncertainty on the simulated streamflow and sediment yield of the Seyhan River basin using the SWAT model

El-Sadek

Irvem²

2014

Turk J Agric For

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IntroductionGeographic information system (GIS) based distributed hydrologic models simulate the hydrologic processes using spatial parameters derived from geospatial data. These data mainly have information about relief, soil and land cover types, and intensity. Land cover has a great impact on the water quantity and quality in a river basin. Better estimation of land cover parameters improves the performance of the hydrologic model used. Appropriate spatial and temporal resolution of the used land cover improves the prediction of the hydrologic model (Huang et al., 2013). Several studies have been conducted to study the impact of land cover change on hydrology and water quality by (1) using readily available data (Cai et al., 2012;Yan et al., 2013), (2) using artificial land cover scenarios including farming practices (Chaplot et al., 2004;De Girolamo and Lo Porto, 2012;Mbonimpa et al., 2012), and (3) generating land use change scenarios using the land use change models (one such land use change model is the conversion of land use and its effects model (CLUE-s, Verburg et al.,

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Section: Introductionmentioning

confidence: 99%

Evaluating the impact of land use uncertainty on the simulated streamflow and sediment yield of the Seyhan River basin using the SWAT model

El-Sadek

Irvem²

2014

Turk J Agric For

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“…A refrigerated automatic sampler with 24 bottles, each with one litre volume, was used for sampling of BOD, COD and TSS. The field campaign was carried out by DICA Palermo University (Candela et al, 2012).…”

Section: Model Descriptionmentioning

confidence: 99%

“…For further details about the model and the case study the reader is referred to literature (Candela et al, 2012;Viviani, 2009a, 2010;Freni et al, 2010c).…”

Section: Model Descriptionmentioning

confidence: 99%

Global sensitivity analysis for urban water quality modelling: Terminology, convergence and comparison of different methods

Vanrolleghem

Mannina

Cosenza

et al. 2015

Journal of Hydrology

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a b s t r a c tSensitivity analysis represents an important step in improving the understanding and use of environmental models. Indeed, by means of global sensitivity analysis (GSA), modellers may identify both important (factor prioritisation) and non-influential (factor fixing) model factors. No general rule has yet been defined for verifying the convergence of the GSA methods. In order to fill this gap this paper presents a convergence analysis of three widely used GSA methods (SRC, Extended FAST and Morris screening) for an urban drainage stormwater quality-quantity model. After the convergence was achieved the results of each method were compared. In particular, a discussion on peculiarities, applicability, and reliability of the three methods is presented. Moreover, a graphical Venn diagram based classification scheme and a precise terminology for better identifying important, interacting and non-influential factors for each method is proposed. In terms of convergence, it was shown that sensitivity indices related to factors of the quantity model achieve convergence faster. Results for the Morris screening method deviated considerably from the other methods. Factors related to the quality model require a much higher number of simulations than the number suggested in literature for achieving convergence with this method. In fact, the results have shown that the term ''screening'' is improperly used as the method may exclude important factors from further analysis. Moreover, for the presented application the convergence analysis shows more stable sensitivity coefficients for the Extended-FAST method compared to SRC and Morris screening. Substantial agreement in terms of factor fixing was found between the Morris screening and Extended FAST methods. In general, the water quality related factors exhibited more important interactions than factors related to water quantity. Furthermore, in contrast to water quantity model outputs, water quality model outputs were found to be characterised by high non-linearity.

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“…Since the 1990s, integrated models have been developed for urban wastewater systems including urban drainage systems, wastewater treatment plants, and receiving water bodies, with the view to improving system performance and receiving water quality (Rauch et al 2002;Achleitner et al 2007;Candela et al 2012). Use of the integrated models have been focused on development of integrated control strategies (Schütze 1998;Vanrolleghem et al 2005).…”

Section: Integrated Modelmentioning

confidence: 99%

“…This paper will use the integrated model to investigate the impacts of rainfall events on receiving water quality and assess the system performance in terms of compliance probabilities of chosen water quality indicators. This analysis can be achieved only by integrated modeling of urban wastewater systems (See, e.g., Candela et al 2012).…”

Section: Integrated Modelmentioning

confidence: 99%

Frequency analysis of river water quality using integrated urban wastewater models

Butler

2012

Water Science and Technology

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In recent years integrated models have been developed to simulate the entire urban wastewater system, including urban drainage systems, wastewater treatment plants, and receiving waterbodies. This paper uses such an integrated urban wastewater model to analyze the frequency of receiving water quality in an urban wastewater system with the aim of assessing the overall system performance during rainfall events. The receiving water quality is represented by two indicators: event mean dissolved oxygen concentration and event mean ammonium concentration. The compliance probability of the water quality indicators satisfying a specific threshold is used to represent the system performance, and is derived using the rainfall events from a series of 10 years' rainfall data. A strong correlation between the depth of each rainfall event and the associated volume of combined sewer overflow (CSO) discharges is revealed for the case study catchment, while there is a low correlation between the intensity/duration of the rainfall event and the volume of the CSO discharges. The frequency analysis results obtained suggest the event mean dissolved oxygen and ammonium concentrations have very different characteristics in terms of compliance probabilities at two discharging points for combined sewer overflow and wastewater treatment plant effluent, respectively. In general, the simulation results provide an understanding of the performance of the integrated urban wastewater system and can provide useful information to support water quality management.

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Receiving water body quality assessment: an integrated mathematical approach applied to an Italian case study

Cited by 14 publications

References 50 publications

Evaluating the impact of land use uncertainty on the simulated streamflow and sediment yield of the Seyhan River basin using the SWAT model

Evaluating the impact of land use uncertainty on the simulated streamflow and sediment yield of the Seyhan River basin using the SWAT model

Global sensitivity analysis for urban water quality modelling: Terminology, convergence and comparison of different methods

Frequency analysis of river water quality using integrated urban wastewater models

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