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Pregled bibliografske jedinice broj: 922210

Prediction of groundwater level fluctuations on grohovo landslide using rule based regression


Volf, Goran; Žic, Elvis; Ožanić, Nevenka
Prediction of groundwater level fluctuations on grohovo landslide using rule based regression // Engineering review (Technical Faculty University of Rijeka), 38 (2018), 1; 51-61 (recenziran, članak, znanstveni)


CROSBI ID: 922210 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Prediction of groundwater level fluctuations on grohovo landslide using rule based regression

Autori
Volf, Goran ; Žic, Elvis ; Ožanić, Nevenka

Izvornik
Engineering review (Technical Faculty University of Rijeka) (1330-9587) 38 (2018), 1; 51-61

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Grohovo landslide ; Groundwater level fluctuations ; Rule based models

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.

Izvorni jezik
Engleski

Znanstvena područja
Građevinarstvo



POVEZANOST RADA


Ustanove:
Građevinski fakultet, Rijeka,
Sveučilište u Rijeci

Profili:

Avatar Url Nevenka Ožanić (autor)

Avatar Url Goran Volf (autor)

Avatar Url Elvis Žic (autor)

Poveznice na cjeloviti tekst rada:

Pristup cjelovitom tekstu rada er.riteh.hr

Citiraj ovu publikaciju:

Volf, Goran; Žic, Elvis; Ožanić, Nevenka
Prediction of groundwater level fluctuations on grohovo landslide using rule based regression // Engineering review (Technical Faculty University of Rijeka), 38 (2018), 1; 51-61 (recenziran, članak, znanstveni)
Volf, G., Žic, E. & Ožanić, N. (2018) Prediction of groundwater level fluctuations on grohovo landslide using rule based regression. Engineering review (Technical Faculty University of Rijeka), 38 (1), 51-61.
@article{article, author = {Volf, Goran and \v{Z}ic, Elvis and O\v{z}ani\'{c}, Nevenka}, year = {2018}, pages = {51-61}, keywords = {Grohovo landslide, Groundwater level fluctuations, Rule based models}, journal = {Engineering review (Technical Faculty University of Rijeka)}, volume = {38}, number = {1}, issn = {1330-9587}, title = {Prediction of groundwater level fluctuations on grohovo landslide using rule based regression}, keyword = {Grohovo landslide, Groundwater level fluctuations, Rule based models} }
@article{article, author = {Volf, Goran and \v{Z}ic, Elvis and O\v{z}ani\'{c}, Nevenka}, year = {2018}, pages = {51-61}, keywords = {Grohovo landslide, Groundwater level fluctuations, Rule based models}, journal = {Engineering review (Technical Faculty University of Rijeka)}, volume = {38}, number = {1}, issn = {1330-9587}, title = {Prediction of groundwater level fluctuations on grohovo landslide using rule based regression}, keyword = {Grohovo landslide, Groundwater level fluctuations, Rule based models} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Emerging Sources Citation Index (ESCI)
  • Scopus





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