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Decision-making tools (KDSS)
The KDSS decision-making support tool uses automated reasoning and learning techniques for recommending efficient strategies on the monitoring of rainwater deposits and management of bathing areas.
The KDSS (knowledge-driven decision-support system) tool is being implemented in the open platform on two levels:
- The local level, which enables monitoring strategies to minimise discharges from the unit system (DSU) and untreated-rainwater leakages; to reduce the presence of solid, plastic and fibre spillages; and to determine the concentration of substances that are harmful to human health in bathing water.
- The global level that determines the strategies for operational management (general considerations with information from the global network) and bathing (such as determining bathing flags).
Bathing-area recommendations are determined through a combination of deep learning (neural networks) with other learning and statistical tools (X-MEANS for achieving seasonal patterns, data-cleaning techniques such as PCA). Global intelligence also enjoys the support of Quantitative Microbial Risk Assessment (QMRA) and dispersion models. In addition, the information is captured through a semantic sensor concentrator.

The project Advanced urban water management to efficiently ensure bathing water quality (Life iBATHWATER), is co-funded by the LIFE Programme of the European Union under contract number LIFE17 ENV/ES/000396.
The information published in this web page reflects only the LIFE iBATHWATER project beneficiaries’ view and work and the European Commission is not responsible for any use that may be made of the information it contains.
The project Advanced urban water management to efficiently ensure bathing water quality (Life iBATHWATER), is co-funded by the LIFE Programme of the European Union under contract number LIFE17 ENV/ES/000396.
The information published in this web page reflects only the LIFE iBATHWATER project beneficiaries’ view and work and the European Commission is not responsible for any use that may be made of the information it contains.