A New Whole Life Cycle Index System for Evaluation of Runoff Forecasting
Author:
Funder
National Natural Science Foundation of China
Key Technologies Research and Development Program
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11269-023-03728-1.pdf
Reference22 articles.
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2. Bournas A, Baltas E (2021) Increasing the efficiency of the Sacramento model on event basis in a mountainous river basin. Environ Process 8:943–958. https://doi.org/10.1007/s40710-021-00504-4
3. Clark M, Bierkens M, Samaniego L et al (2017) The evolution of process-based hydrologic models: historical challenges and the collective quest for physical realism. Hydrol Earth Syst Sci 21:3427–3440. https://doi.org/10.5194/hess-21-3427-2017
4. Cui JS, Wu YX, Gang H et al (2018) Evaluation on light sources for electric power emergency recovery system based on grille method and maximum information coefficient method. Energy Procedia 145:181–186. https://doi.org/10.1016/j.egypro.2018.04.031
5. Davletgaliev SK, Alimkulov SK, Talipova EK (2020) The possibility to applying simulated series for compile scenario forecasting river runoff. Environ Earth Sci 79:397. https://doi.org/10.1007/s12665-020-09138-5
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