Effect of different detrending approaches on the accuracy of time series forecasting models-Reference-Cited by-同舟云学术

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Effect of different detrending approaches on the accuracy of time series forecasting models

Published:2022-10-17 Issue:6 Volume:8 Page:
ISSN:2363-5037
Container-title:Sustainable Water Resources Management
language:en
Short-container-title:Sustain. Water Resour. Manag.

Author:

Farsi Farzane,Nozari Hamed^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Water Science and Technology,Renewable Energy, Sustainability and the Environment

Link

https://link.springer.com/content/pdf/10.1007/s40899-022-00760-8.pdf

Reference34 articles.

1. Abghari H, Tabari H, Talaee PH (2013) River flow trends in the west of Iran during the past 40 years: impact of precipitation variability. Glob Planet Change 101:52–60

2. Ahn H (2000) Modeling of groundwater heads based on second-order difference time series models. J Hydrol 234(1):82–94

3. Alsumaiei AA (2020) A nonlinear autoregressive modeling approach for forecasting groundwater level fluctuation in urban aquifers. J Water 12:820. https://doi.org/10.3390/w12030820

4. Aziz OIA, Burn DH (2006) Trends and variability in the hydrological regime of the Mackenzie River Basin. J Hydrol 319(1–4):282–294

5. Bayazidi S, Moraki Ali Abadi H, Zaferani Zadeh M (2012) Discharge naturalization of hydrometric stations by Cindex (justified detrending). In: 9th international congress on civil engineering (ICCE-2012), the Isfahan University of Technology (in Persian)

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