Abstract
In this work, we propose a technique to automatically optimize the monitoring of any distributed indicator (concentration of a substance along a river, blood pressure of a patient over time, etc.) for which a reliable estimate is previously available. From a mathematical point of view, the problem is based on obtaining a reliable estimate of the chosen indicator (e.g., by numerical simulation), and then solving a multi-objective optimization problem (with mixed real and integer variables) whose solution must provide an efficient and satisfactory monitoring strategy. As an illustrative case, we show the steps to follow in order to implement that strategy when designing a system for monitoring water quality in a river. Finally, we present and analyze the results when applying the proposed technique to study a real case in the Neuse River (North Carolina, USA).
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This work was supported by funding from the project MTM2015-65570-P of Ministerio de Economía y Competitividad (Spain) and FEDER.
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Alvarez-Vázquez, L.J., Casal, G., Martínez, A. et al. A Novel Formulation for Designing a Monitoring Strategy: Application to the Design of a River Quality Monitoring System. Environ Model Assess 22, 279–289 (2017). https://doi.org/10.1007/s10666-016-9537-z
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DOI: https://doi.org/10.1007/s10666-016-9537-z