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Water Quality Modelling using Artificial Neural Networks and Decision Trees
Couto, Catarina; Vicente, Henrique; Neves, JoséThe water quality at ground zero in a given region largely depends on the nature and the extent of the industrial, agricultural and other anthropogenic activities in the catchments. Undeniably, ensuring an efficient water management system is a major goal in contemporary societies, taking into account its importance to the living organisms health and the need to safeguard and to promote its sustainable use. How...
Water Quality Modeling using Artificial Intelligence-Based Tools
Couto, Catarina; Vicente, Henrique; Machado, José; Abelha, António; Neves, JoséWater, like any other biosphere natural resource, is scarce, and its judicious use includes its quality safeguarding. Indeed, there is a wide concern to the fact that an ineffi cient water management system may become one of the major drawbacks for a human-centered sustainable development process. The assessment of reservoir water quality is constrained due to geographic considerations, the number of parameters...
Prediction of Water Quality Parameters in a Reservoir using Artificial Neural N...
Vicente, Henrique; Couto, Catarina; Machado, José; Abelha, António; Neves, JoséWater quality brings to the ground the discussion on water utilization once the consumption, of degraded water, is not possible or safe. On the other hand, the assessment of the water quality in a reservoir is constrained due to geographic considerations, the number of parameters to be studied, and the huge financial resources needed to get the necessary data. To this picture it should be added the latency time...
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