|
Abbreviation
|
Water Parameter
|
Abbreviation
|
Machine Learning Algorithm
|
Abbreviation
|
Others
|
| AN |
ammoniacal nitrogen |
ANN |
artificial neural network |
|
actual value of parameter in the tested water samples |
| BOD |
biological oxygen demand |
BPNN |
back propagation NN |
AI |
artificial intelligence |
| Ca |
calcium |
DT |
decision tree regression |
|
the optimal parameter value in pure water |
| CO |
electrical conductivity |
ET |
extra tree regression |
MAE |
mean absolute error |
| COD |
chemical oxygen demand |
LR |
linear regression |
MSE |
mean square error |
| DO |
dissolved oxygen |
MLP |
multilayer perceptron |
|
correlation coefficient |
| FC |
faecal coliform |
RBFNN |
radial basis function NN |
RMSE |
root mean square error |
| K |
potassium |
RF |
random forest regression |
SDG |
Sustainable Development Goals |
| Mg |
magnesium |
SVR |
support vector regression |
|
the suggested parameter standard value
|
| NH4+
|
ammonium |
|
|
UN |
United Nation |
| NO3− i.e., Na |
nitrate |
|
|
UNEP |
United Nations Environment Program |
| NO3−N |
nitrate-nitrogen |
|
|
|
each feature’s unit weight |
| NO2−N |
nitrite-nitrogen |
|
|
WQI |
Water Quality Index |
| pH |
potential for hydrogen |
|
|
|
Water quality rating scale for each feature
|
| PO43-
|
Phosphate |
|
|
|
water quality weight score for each feature
|
| PO4−P |
phosphate |
|
|
|
|
| SO42−
|
sulfur |
|
|
|
|
| SS |
suspended solids |
|
|
|
|
| T |
temperature |
|
|
|
|
| TC |
total coliform |
|
|
|
|
| TDS |
total dissolved solids |
|
|
|
|
| TH |
total hardness |
|
|
|
|
| TN |
total nitrogen |
|
|
|
|
| TS |
total solids |
|
|
|
|
| TUR |
turbidity |
|
|
|
|