Advantages of concurrent use of multiple software frameworks in water quality modelling using a database approach
2015 (English)In: Fundamental and Applied Limnology, ISSN 1863-9135, Vol. 186, no 1-2, 5-20 p.Article in journal (Refereed) Published
Water quality modelling deals with multidisciplinary questions ranging from fundamental to applied. Addressing this broad range of questions requires multiple analysis techniques and therefore multiple frameworks. Through the recently developed database approach to modelling (DATM), it has become possible to run a model in multiple software frameworks without much overhead. Here we apply DATM to the ecosystem model for ditches PCDitch and its twin model for shallow lakes PCLake. Using DATM, we run these models in six frameworks (ACSL, DELWAQ, DUFLOW, GRIND for MATLAB, OSIRIS and R), and report on the possible model analyses with tools provided by each framework. We conclude that the dynamic link between frameworks and models resulting from DATM has the following main advantages: it allows one to use the framework one is familiar with for most model analyses and eases switching between frameworks for complementary model analyses, including the switch between a 0-D and 1-D to 3-D setting. Moreover, the strength of each framework - including runtime performance - can now be easily exploited. We envision that a community-based further development of the concept can contribute to the future development of water quality modelling, not only by addressing multidisciplinary questions but also by facilitating the exchange of models and process formulations within the community of water quality modellers.
Place, publisher, year, edition, pages
2015. Vol. 186, no 1-2, 5-20 p.
Database Approach To Modelling, DATM, PCLake, PCDitch, OSIRIS, ACSL, R, GRIND, DUFLOW, DELWAQ, Modelling Framework, Model Implementation, Model Analysis, Differential Equations, Community-based Modelling
IdentifiersURN: urn:nbn:se:su:diva-117021DOI: 10.1127/fal/2015/0631ISI: 000352100400002OAI: oai:DiVA.org:su-117021DiVA: diva2:810053