Prediction of water quality in Lake based on meteorological data
Introduction:
The "AquaPredict" project focuses on the development of a system that uses machine learning to predict the quality of lake water based on meteorological data. The system is being developed with the aim of optimizing water treatment processes at enterprises that use water from lakes as open sources.
Significance:
The quality of lake water directly affects the economic aspects of the water treatment process, including the cost of water. Lakes are often sources of water for industrial enterprises. Factors such as pollution and climate change can significantly affect the initial stage of water treatment.
The model forecasts daily water parameters by leveraging historical data from water analyses and weather conditions.
Table for the Lake project:
Metrological data
_fact - Actual data
_pm01 - Prediction model #1
_pm02 - Prediction Model #2
_pm03 - prediction model #3
object 1
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