A time-varying autoregressive model for groundwater depth prediction

•A TVAR model is introduced to predict groundwater depth.•The implementation of parameter estimation of the TVAR model is summarized.•The TVAR exhibits better prediction performance than the ARI and SARI models. The nonstationarity of hydrological variables makes the application of autoregressive (A...

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Veröffentlicht in:	Journal of hydrology (Amsterdam) Jg. 613; S. 128394
Hauptverfasser:	Guo, Tianli, Song, Songbai, Yan, Yating
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.10.2022
Schlagworte:	algorithms Basis functions Bayesian theory China Fading memory recursive least squares algorithm Groundwater depth prediction Improved Bayesian information criterion memory model validation prediction Time-varying autoregressive model water table China Groundwater depth prediction Improved Bayesian information criterion Basis functions Fading memory recursive least squares algorithm Time-varying autoregressive model
ISSN:	0022-1694, 1879-2707
Online-Zugang:	Volltext
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