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Optimizing the Design of an Estuarine Water Quality Monitoring Network by Optimal Control Techniques
In this work, we propose a novel methodology in order to automatically optimize the location of the sampling points for a water quality monitoring network in an estuary, in such a way that any unknown pollution source can be identified (both in intensity and location) from the data supplied by those sampling points. In the central part of the article, after a rigorous mathematical formulation of the environmental problem, the full details of its numerical implementation are given. Finally, we present and analyze the results when applying the above proposed technique to study a real case in Ría of Vigo (northwestern Spain).
Optimizing the Design of an Estuarine Water Quality Monitoring Network by Optimal Control Techniques
In this work, we propose a novel methodology in order to automatically optimize the location of the sampling points for a water quality monitoring network in an estuary, in such a way that any unknown pollution source can be identified (both in intensity and location) from the data supplied by those sampling points. In the central part of the article, after a rigorous mathematical formulation of the environmental problem, the full details of its numerical implementation are given. Finally, we present and analyze the results when applying the above proposed technique to study a real case in Ría of Vigo (northwestern Spain).
Optimizing the Design of an Estuarine Water Quality Monitoring Network by Optimal Control Techniques
Environ Model Assess
Alvarez-Vázquez, Lino J. (Autor:in) / Martínez, Aurea (Autor:in) / Rodríguez, Carmen (Autor:in) / Vázquez-Méndez, Miguel E. (Autor:in)
Environmental Modeling & Assessment ; 28 ; 665-672
01.08.2023
8 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Optimal design , Water quality monitoring network , Estuary , Sampling points , Mathematical modeling , Simulation-based optimization Environment , Math. Appl. in Environmental Science , Mathematical Modeling and Industrial Mathematics , Operations Research/Decision Theory , Applications of Mathematics , Earth and Environmental Science
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