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Hydrological Sciences Journal Volume 67, 2022 - Issue 4
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Research Article

Improving the outputs of regional heavy rainfall forecasting models using an adaptive real-time approach

Zahra Alizadeha Faculty of Civil, Water and Environmental Engineering, Shahid Beheshti University, Tehran, IranView further author information
,
Jafar Yazdia Faculty of Civil, Water and Environmental Engineering, Shahid Beheshti University, Tehran, IranCorrespondence[email protected]
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&
Mohammad Saeed Najafib Department of Water Resources Research, Water Research Institute, Tehran, IranView further author information
Pages 550-563 | Received 16 Sep 2021, Accepted 02 Dec 2021, Published online: 18 Feb 2022

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Xuefei Cui, Zhaocai Wang & Renlin Pei. (2023) A VMD-MSMA-LSTM-ARIMA model for precipitation prediction. Hydrological Sciences Journal 68:6, pages 810-839.
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Articles from other publishers (3)

En-Ze Jin, Yu-Ge Wang, Ze-Xing Xu, Xu-Feng Yan & Xie-Kang Wang. (2023) Hydrometeorological-modeling-based analysis and risk assessment of a torrential rainfall flash flood in a data deficient area in Wenchuan County, Sichuan Province, China. Stochastic Environmental Research and Risk Assessment 38:1, pages 33-50.
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Rui Xu, Deke Wang, Jian Li, Hang Wan, Shiming Shen & Xin Guo. (2023) A Hybrid Deep Learning Model for Air Quality Prediction Based on the Time–Frequency Domain Relationship. Atmosphere 14:2, pages 405.
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Abhinav Kumar Singh, Pankaj Kumar, Rawshan Ali, Nadhir Al-Ansari, Dinesh Kumar Vishwakarma, Kuldeep Singh Kushwaha, Kanhu Charan Panda, Atish Sagar, Ehsan Mirzania, Ahmed Elbeltagi, Alban Kuriqi & Salim Heddam. (2022) An Integrated Statistical-Machine Learning Approach for Runoff Prediction. Sustainability 14:13, pages 8209.
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