Smart survey on recent trends in water level, drought and water quality analysis system

Abstract

Over 200 million yearly reports of diseases identified with scarce water and sanitation conditions, 5-10 million deaths occurred worldwide. Water quality checking has subsequently gotten important to supply clean and safe water. This survey work depicts the fundamental explanation behind the requirement for robust and productive Water level, Drought, and water quality control in the level framework, which will keep human assets healthy, sustainable and diminish water use for household purposes. Climate change and variability have so many significant impacts caused by the natural environment’s water system. Incredible methods, collection of water samples are tested alone and analyzed in water laboratories. However, it is not always easy to capture, analyze, and rapidly disseminate information to relevant users to make timely and well-informed decisions. The review work encompasses traditional methods based on Machine Learning (ML), and Deep Learning (DL) approaches.

Water Quality Prediction using AI and ML Algorithms

“…The back pass of Bi-S-SRU in the second stage is comparable to the RNN back propagation procedure (Kang et al, 2018;Balan and Ila, 2020;Yan et al, 2020). Several things are initially placed in output for computing in every time units and the objects are returned to the hidden layers in opposite ways (Balajee and Durai, 2021).…”