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Total dissolved solids are at the top of the parameters list of water quality that
requires investigations for planning and management, especially for irrigation
and drinking purposes. If the quality of water is sufficiently predictable, then
appropriate management is possible. In the current study, Multiple Linear
Regression (MLR) and Artificial Neural Network (ANN) models were used as
indicators of water quality and for the prediction of Total Dissolved Solids (TDS)
along the Tigris River, in Baghdad city. To build these models five water
parameters were selected from the intakes of four water treatment plants on the
Tigris River, for the period between 2013 and 2017. The selected water
parameters were Total Dissolved Solids (TDS
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