River/stream water temperature forecasting using artificial intelligence models: a systematic review
Author:
Funder
China Postdoctoral Science Foundation
National Science Centre, Poland
Publisher
Springer Science and Business Media LLC
Subject
Geophysics
Link
https://link.springer.com/content/pdf/10.1007/s11600-020-00480-7.pdf
Reference117 articles.
1. Afan HA, El-shafie A, Mohtar WHMW, Yaseen ZM (2016) Past, present and prospect of an Artificial Intelligence (AI) based model for sediment transport prediction. J Hydrol 541:902–913
2. Arismendi I, Safeeq M, Dunham JB, Johnson SL (2014) Can air temperature be used to project influences of climate change on stream temperature? Environ Res Lett 9:084015
3. Arora R, Tockner K, Venohor M (2016) Changing river temperatures in northern Germany: trends and drivers of change. Hydrol Processes 30:3084–3096
4. Atiquzzaman M, Kandasamy J (2016) Prediction of hydrological time-series using extreme learning machine. J Hydroinform 18(2):345–353
5. Benyahya L, Caissie D, St-Hilaire A, Ouarda TBMJ, Bobée B (2007) A review of statistical water temperature models. Can Water Resources J 32(3):179–192
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