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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Vydané v:	Journal of hydrology (Amsterdam) Ročník 613; s. 128394
Hlavní autori:	Guo, Tianli, Song, Songbai, Yan, Yating
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.10.2022
Predmet:	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
On-line prístup:	Získať plný text
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