Component-based Reconstruction Prediction of Runoff at Multi-time Scales in the Source Area of the Yellow River Based on the ARMA Model-Reference-Cited by-同舟云学术

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Component-based Reconstruction Prediction of Runoff at Multi-time Scales in the Source Area of the Yellow River Based on the ARMA Model

Published:2022-01 Issue:1 Volume:36 Page:433-448
ISSN:0920-4741
Container-title:Water Resources Management
language:en
Short-container-title:Water Resour Manage

Author:

Zhang Jinping,Xiao Honglin^ORCID,Fang Hongyuan

Funder

The Natural Sciences Foundation of Henan Province

Open Grants of the State Key Laboratory of Severe Weather

Scientific and Technologic Research Program of Henan Province

Outstanding Young Talent Research Fund of Zhengzhou University

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/s11269-021-03035-7.pdf

Reference30 articles.

1. Bashir A, Shehzad MA, Hussain I, Rehmani MIA, Bhatti SH (2019) Reservoir inflow prediction by ensembling wavelet and bootstrap techniques to multiple linear regression model. Water Resour Manag 33(15):5121–5136

2. Box GEP, Jenkins GM (1970) Time series analysis: Forecasting and control. Holden-Day, San Francisco

3. Chen X, Li FW, Feng P (2018) A new hybrid model for nonlinear and non-stationary runoff prediction at annual and monthly time scales. J Hydro Environ Res 20:77–92

4. Dakhlaoui H, Ruelland D, Tramblay Y (2019) A bootstrap-based differential split-sample test to assess the transferability of conceptual rainfall-runoff models under past and future climate variability. J Hydrol 575:470–486

5. Dabral PP, Murry MZ (2017) Modelling and forecasting of rainfall time series using sarima. Environ Process 4(2):399–419

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