Pregled bibliografske jedinice broj: 922210
Prediction of groundwater level fluctuations on grohovo landslide using rule based regression
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
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Emerging Sources Citation Index (ESCI)
- Scopus