Naslov
A regression model for predicting minimum ground water levels for optimal management of ground water sources of Zagreb aquifer (Croatia)

Autori
Posavec, Kristijan

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, pp prezentacija, znanstveni

Skup
Seminar on Groundwater Modelling - Water Framework Directive INFRA 23804

Mjesto i datum
NP Plitvička jezera, Hrvatska, 12.03.2007. - 14.03.2007

Vrsta sudjelovanja
Pozvano predavanje

Vrsta recenzije
Nije recenziran

Ključne riječi
Zagrebački aluvijalni vodonosnik; vremenski nizovi razina podzemne vode; recesijska analiza; glavna recesijska krivulja; minimalne razine podzemne vode; prognoze razina podzemne vode.
(Zagreb alluvial aquifer; ground water level time series; recession analysis; master recession curve; minimum ground water levels; ground water level predictions.)

Sažetak
Ground water level time series of Zagreb alluvial aquifer were analyzed with the scope of identification and prediction of minimum ground water levels, and with the purpose of ground water sources management planning. Recession analysis was applied on ground water level time series which comprised measurements on 278 observation wells conducted from 1994 up to 2003. A Visual Basic macro for an Excel spreadsheet was written to construct a master recession curves (MRC), using the adapted matching strip method. The macro uses five different linear/nonlinear regression models to adjust individual recession segments to their proper positions in the MRC. Data processing resulted with 278 master recession curves and their regression models i.e. regression equations which were used for prediction of ground water levels. Ground water level predictions were performed using two computer models: (1) model for predicting ground water levels which uses initial heads and master recession curves i.e. regression equations, and calculates predicted ground water level on observation wells for designated time period and (2) model for predicting time to reach minimum ground water levels which uses initial heads, identified minimum ground water levels and master recession curves i.e. regression equations, and predicts time in which minimum ground water levels will be reached on observation wells.

Izvorni jezik
Engleski

Znanstvena područja
Rudarstvo, nafta i geološko inženjerstvo

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