IMIS

A new integrated search interface will become available in the next phase of marineinfo.org.
For the time being, please use IMIS to search available data

 

[ report an error in this record ]basket (0): add | show Print this page
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.
Part of: WL Rapporten. Waterbouwkundig Laboratorium: Antwerpen. , more
Available in  Authors 
Document type: Project report
Keywords
    Literature and desktop study
    Water management > Hydraulics > Conceptual models
    Water management > Water quality > Conceptual models
Author keywords
    Conceptual models; Water quality; Water management
Project Top | Authors 
  • Ontwikkelen van conceptuele modellen, more
Authors  Top 
  • Velez, C., more
  • Van Griensven, A.
  • Bauwens, W., more
  • Pereira, F., more
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.

All data in the Integrated Marine Information System (IMIS) is subject to the VLIZ privacy policy Top | Authors