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Predicition of groundwater level on Grohovo landslide using ruled based regression

Goran Volf ; Department of Hydraulic Engineering, Faculty of Civil Engineering, University of Rijeka
Elvis Žic ; Department of Hydraulic Engineering, Faculty of Civil Engineering, University of Rijeka
Nevenka Ožanić ; Department of Hydraulic Engineering, Faculty of Civil Engineering, University of Rijeka

Puni tekst: engleski, PDF (651 KB) str. 51-61 preuzimanja: 98* citiraj
APA 6th Edition
Volf, G., Žic, E. i Ožanić, N. (2018). Predicition of groundwater level on Grohovo landslide using ruled based regression. Engineering Review, 38 (1), 51-61. Preuzeto s https://hrcak.srce.hr/192869
MLA 8th Edition
Volf, Goran, et al. "Predicition of groundwater level on Grohovo landslide using ruled based regression." Engineering Review, vol. 38, br. 1, 2018, str. 51-61. https://hrcak.srce.hr/192869. Citirano 09.04.2020.
Chicago 17th Edition
Volf, Goran, Elvis Žic i Nevenka Ožanić. "Predicition of groundwater level on Grohovo landslide using ruled based regression." Engineering Review 38, br. 1 (2018): 51-61. https://hrcak.srce.hr/192869
Harvard
Volf, G., Žic, E., i Ožanić, N. (2018). 'Predicition of groundwater level on Grohovo landslide using ruled based regression', Engineering Review, 38(1), str. 51-61. Preuzeto s: https://hrcak.srce.hr/192869 (Datum pristupa: 09.04.2020.)
Vancouver
Volf G, Žic E, Ožanić N. Predicition of groundwater level on Grohovo landslide using ruled based regression. Engineering Review [Internet]. 2018 [pristupljeno 09.04.2020.];38(1):51-61. Dostupno na: https://hrcak.srce.hr/192869
IEEE
G. Volf, E. Žic i N. Ožanić, "Predicition of groundwater level on Grohovo landslide using ruled based regression", Engineering Review, vol.38, br. 1, str. 51-61, 2018. [Online]. Dostupno na: https://hrcak.srce.hr/192869. [Citirano: 09.04.2020.]

Sažetak
In order to contribute to understanding the effect
of atmospheric conditions on the groundwater
level fluctuations on Grohovo landslide, a machine
learning tool for induction of models in form of the
set of rules was applied on a dataset comprising
daily atmospheric and groundwater level data
measured in 2012. The atmospheric data
comprises of an average daily air temperature,
humidity, wind speed, pressure, total
evapotranspiration, and precipitations. For the
experiment independent variables i.e. atmospheric
data and present groundwater level were used to
model target variable i.e. predicted groundwater
level for 24 and 48 hours in advance.
The presented models give predictions 24 (first
model) and 48 (second model) hours in advance
for groundwater level fluctuations on Grohovo
landslide. The first model is consisted from seven,
and the second model from five rules. Both models
have very high correlation coefficients of 0.99 and
0.97, respectively. From the given models, it can
be concluded that the most influence on the
groundwater level fluctuations have sum of daily
precipitations and average daily air temperature.
The obtained models are intended for use in the
models for debris flow propagation on the Rječina
River as a part of an Early Warning System.

Ključne riječi
Grohovo landslide; groundwater level fluctuations; rule based models

Hrčak ID: 192869

URI
https://hrcak.srce.hr/192869

Posjeta: 163 *