Streamflow Prediction Utilizing Deep Learning and Machine Learning Algorithms for Sustainable Water Supply Management
Author:
Publisher
Springer Science and Business Media LLC
Subject
Water Science and Technology,Civil and Structural Engineering
Link
https://link.springer.com/content/pdf/10.1007/s11269-023-03499-9.pdf
Reference27 articles.
1. Al-Juboori AM (2019) Generating monthly stream flow using nearest river data: assessing different trees models. Water Resour Manag. https://doi.org/10.1007/s11269-019-02299-4
2. Al-Mukhtar M, Qasim M (2019) Future predictions of precipitation and temperature in Iraq using the statistical downscaling model. Arab J Geosci. https://doi.org/10.1007/s12517-018-4187-x
3. Ali AA, Hassan R, Dawood AH et al (2020) Sediment flux from lesser Zab River in Dokan Reservoir: implications for the sustainability of long-term water resources in Iraq. River Res Appl. https://doi.org/10.1002/rra.3595
4. Fu M, Fan T, Ding Z et al (2020) Deep Learning Data-Intelligence Model based on adjusted forecasting window scale: application in Daily Streamflow Simulation. IEEE Access. https://doi.org/10.1109/ACCESS.2020.2974406
5. Güven A, Aydemir A (2020) Risk Assessment of Dams. Springer Tracts in Civil Engineering. https://doi.org/10.1007/978-3-030-47139-2
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