Prediction of river discharge of Kesinga sub-catchment of Mahanadi basin using machine learning approaches
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences,General Environmental Science
Link
https://link.springer.com/content/pdf/10.1007/s12517-022-10555-y.pdf
Reference39 articles.
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3. Asokan SM, Dutta D (2008) Analysis of water resources in the Mahanadi River Basin, India under projected climate conditions. Hydrological Processes: an International Journal 22(18):3589–3603. https://doi.org/10.1002/hyp.6962
4. Bhoria S, Sihag P, Singh B, Ebtehaj I, Bonakdari H (2021) Evaluating Parshall flume aeration with experimental observations and advance soft computing techniques. Neural Comput Appl 33(24):17257–17271. https://doi.org/10.1007/s00521-021-06316-9
5. Brakenridge GR, Cohen S, Kettner AJ, De Groeve T, Nghiem SV, Syvitski JP, Fekete BM (2012) Calibration of satellite measurements of river discharge using a global hydrology model. J Hydrol 475:123–136. https://doi.org/10.1016/j.jhydrol.2012.09.035
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