Open AccessCombined Artificial Intelligence and Fuzzy logic Model for the process of groundwater treatment for irrigation and drinking purposes using filtration and other membrane process
Author(s) -
S Narendran,
Bhaskar Rao Yakkala,
J. Cyril Robinson Azariah,
A Sivagami
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/945/1/012040
Subject(s) - microfiltration , filtration (mathematics) , nanofiltration , reverse osmosis , process (computing) , groundwater , process engineering , water quality , filter (signal processing) , hydrogeology , environmental science , membrane technology , environmental engineering , engineering , computer science , membrane , mathematics , chemistry , geotechnical engineering , statistics , ecology , biochemistry , biology , operating system , electrical engineering
The process of water purification or water filtration takes several stage approaches. In which, the membrane model process is an important role in filtration. This research work is done by considering double filtration method for filtration process and it is modelled by clustering of Artificial Neural Network and multiple linear regression approach. In this research work, ten different physical parameters and chemical parameters for designing our model. The measurement of groundwater quality for both irrigation and drinking water is a complex process due to various factors such as geology, hydrogeology, biology, etc. With the help of Neural network and fuzzy logic systems approach, we have studied the quality of water in various part of south India. For the process of double filtration process, we have taken rapid sand filter followed by slow sand filter. For the membrane process of water treatment, the membrane chosen for the research are reverse osmosis, microfiltration and nanofiltration.