Artificial intelligence has been extensively used in many areas such as computer science,
robotics, engineering, medicine, translation, economics, business, and psychology. Various
studies in the literature show that the artificial intelligence in modeling approaches give close
results to the real data for solution of linear, non-linear, and other systems. In this study, we
reviewed the current state-of-the-art and progress on the modelling of artificial intelligence for
water variables: rainfall-runoff, evaporation and evapotranspiration, streamflow, sediment, water
quality variables, and dam or lake water level changes. Moreover, the study has also identified
some future research possibilities and suggestions for modelling of the water variables.
Primary Language | English |
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Subjects | Engineering |
Journal Section | 3 |
Authors | |
Publication Date | May 17, 2018 |
Submission Date | December 4, 2017 |
Published in Issue | Year 2018 |
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