Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8857942 | Environmental Technology & Innovation | 2018 | 15 Pages |
Abstract
The study results show that the use of WQI as the dependent variable input improved the prediction of MLR model as a tool to understand, simplify and model the water quality variation. The model developed here can help in rapid low-cost water quality evaluation for best management of the Tigris River.
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Authors
Salam Hussein Ewaid, Salwan Ali Abed, Safaa A. Kadhum,