A Probability Model for Short-Term Streamflow Prediction Based on Multi-Resolution Data
Author:
Funder
Foundation of Northwest Normal University of China
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/s11269-023-03620-y.pdf
Reference39 articles.
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2. Borji M, Malekian A, Salajegheh A, Ghadimi M (2016) Multi-time-scale analysis of hydrological drought forecasting using support vector regression (SVR) and artificial neural networks (ANN). Arabian J Geosci 9:725
3. Chen Z, Nie Z, Zhang G, Wan L, Shen J (2006) Environmental isotopic study on the recharge and residence time groundwater in the Heihe River Basin, northwestern China. Hydrogeol J 14:1635–1651
4. Chu H, Wei J, Wu W, Jiang Y, Chu Q, Meng X (2021) A classification-based deep belief networks model framework for daily streamflow forecasting. J Hydrol 595:125967
5. Farjoudi SZ, Alizadeh Z (2021) A comparative study of total dissolved solids in water estimation models using gaussian process regression with different kernel functions. Environ Earth Sci 80:557
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