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Development of conceptual models for an integrated catchment management: subreport 2. Literature review of DSS en WQ Velez, C.; Van Griensven, A.; Bauwens, W.; Pereira, F.; Vanderkimpen, P.; Nossent, J.; Verwaest, T.; Mostaert, F. (2016). Development of conceptual models for an integrated catchment management: subreport 2. Literature review of DSS en WQ. Versie 4.0. WL Rapporten, 00_131_2. Flanders Hydraulics Research: Antwerp. IV, 53 pp. Deel van: WL Rapporten. Waterbouwkundig Laboratorium: Antwerpen.

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Beschikbaar in	Auteurs
Waterbouwkundig Laboratorium: Open Repository 296032 [ OWA ] Waterbouwkundig Laboratorium: WL Rapporten [295927]
Documenttype: Projectrapport

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Trefwoorden

Literature and desktop study Water management > Hydraulics > Conceptual models Water management > Water quality > Conceptual models

Author keywords

Conceptual models; Water quality; Water management

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Project	Top | Auteurs
Ontwikkelen van conceptuele modellen, meer

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Auteurs		Top
Velez, C. Van Griensven, A. Bauwens, W. Pereira, F., meer	Vanderkimpen, P., meer Nossent, J., meer Verwaest, T., meer Mostaert, F.

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Abstract

An overview of the state‐of‐the‐art of water quality modelling for water quality management is presented. There are different types of models: data driven black box models, empirical/conceptual models and physically‐based models. Models are needed to represent the sewer‐waterwater‐river‐catchment system. Also sediment transport is a very important but complex part of water quality modelling. We can observe a variety in complexity, also within the DSS systems. For example, at the catchment domain the generation of water quality components can be as simple as imposing a concentration at the outlet (e.g EMC) as in WaterCAST to a more complex process based approach as in LASCAM. Inriver water quality processes are also modelled with different degrees of complexity, from the extended Streeter and Phelps equation in StreamPlan to a multi‐level of complexity as in AQUATOOL. At present, most applied models are physically based, but the integration of complex physically based models in integrated systems may become too complex. There is hence a need for simplified models that can easily be integrated in an integrated water quality model system.

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