prikaz prve stranice dokumenta Predictive modeling of microbiological seawater quality in karst region using cascade model
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Predictive modeling of microbiological seawater quality in karst region using cascade model
Science of The Total Environment, 851 (2022); 158009. https://doi.org/10.1016/j.scitotenv.2022.158009
Lučin, Ivana; Družeta, Siniša; Mauša, Goran; Alvir, Marta; Grbčić, Luka; Lušić, Darija Vukić; Sikirica, Ante; Kranjčević, Lado

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Lučin, I., Družeta, S., Mauša, G., Alvir, M., Grbčić, L., Lušić, D. V. ... Kranjčević, L. (2022). Predictive modeling of microbiological seawater quality in karst region using cascade model. Science of The Total Environment, 851.. doi: 10.1016/j.scitotenv.2022.158009

Lučin, Ivana, et al. "Predictive modeling of microbiological seawater quality in karst region using cascade model." Science of The Total Environment, vol. 851, 2022. https://doi.org/10.1016/j.scitotenv.2022.158009

Lučin, Ivana, Siniša Družeta, Goran Mauša, Marta Alvir, Luka Grbčić, Darija Vukić Lušić, Ante Sikirica i Lado Kranjčević. "Predictive modeling of microbiological seawater quality in karst region using cascade model." Science of The Total Environment 851 (2022). https://doi.org/10.1016/j.scitotenv.2022.158009

Lučin, I., et al. (2022) 'Predictive modeling of microbiological seawater quality in karst region using cascade model', Science of The Total Environment, 851. doi: 10.1016/j.scitotenv.2022.158009

Lučin I, Družeta S, Mauša G, Alvir M, Grbčić L, Lušić DV, i sur.. Predictive modeling of microbiological seawater quality in karst region using cascade model. Science of The Total Environment [Internet]. 12.2022. [pristupljeno 03.04.2025.];851. doi: 10.1016/j.scitotenv.2022.158009

I. Lučin, et al., "Predictive modeling of microbiological seawater quality in karst region using cascade model", Science of The Total Environment, vol. 851, Prosinac 2022. [Online]. Dostupno na: https://urn.nsk.hr/urn:nbn:hr:184:479027. [Citirano: 03.04.2025.]

Za citiranje koristite ovu mrežnu adresu: https://urn.nsk.hr/urn:nbn:hr:184:479027
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Naslov (engleski)Predictive modeling of microbiological seawater quality in karst region using cascade model
AutorIvana Lučin
AutorSiniša Družeta
AutorGoran Mauša
AutorMarta Alvir
AutorLuka Grbčić
AutorDarija Vukić Lušić
AutorAnte Sikirica
AutorLado Kranjčević
Autorova ustanovaSveučilište u Rijeci
Medicinski fakultet
(Katedra za zdravstvenu ekologiju)
Znanstveno / umjetničko
područje, polje i grana		BIOMEDICINA I ZDRAVSTVO
Javno zdravstvo i zdravstvena zaštita
Zdravstvena ekologija
Sažetak (engleski)
This paper presents an in-depth analysis of seawater quality measurements during the bathing seasons from year 2009 to 2020 in the city of Rijeka, Croatia. Due to rare occurrences of measurements with less than excellent water quality, considered dataset is deeply imbalanced. Additionally, it incorporates measurements under the influence of submerged groundwater discharges (SGD), which were observed in some bathing locations. These discharges were previously thought to dry up during the summer... Više season and are now suspected to be one of the causes of increased Escherichia coli values. Consequently, and in view of the fact that the accuracy of prediction models can be significantly influenced by temporal and spatial variation of the input data, a novel cascade prediction modeling strategy was proposed. It consists of a sequence of prediction models which tend to identify general environmental conditions which confidently lead to excellent bathing water quality. The proposed model uses environmental features which can rather easily be estimated or obtained from the weather forecast. The model was trained on a highly biased dataset, consisting of data from locations with and without SGD influence, and for the time period spanning extremely dry and warm seasons, extremely wet seasons, as well as normal seasons. To simulate realistic application, the model was tested using temporal and spatial stratification of data. The cascade strategy was shown to be a good approach for reliably detecting environmental parameters which produce excellent water quality. Proposed model is designed as a filter method, where instances classified as less-than-excellent water quality require further analysis. The cascade model provides great flexibility as it can be customized to the particular needs of the investigated area and dataset specifics. Sakrij dio sažetka
Ključne riječi (engleski)
Jezikengleski
Vrsta publikacijeZnanstveni rad - Izvorni znanstveni rad
Status objaveObjavljen
Vrsta recenzijeRecenziran - međunarodna recenzija
Verzija publikacijeZavršna verzija rukopisa prihvaćena za objavljivanje (postprint)
Naslov časopisaScience of The Total Environment
Brojčani podacivol. 851, 158009
p-ISSN0048-9697
DOIhttps://doi.org/10.1016/j.scitotenv.2022.158009
URN:NBNurn:nbn:hr:184:479027
Datum objave publikacije2022-12
URL dokumentahttps://linkinghub.elsevier.com/retrieve/pii/S0048969722051087
Vrsta resursaTekst
Prava pristupaOtvoreni pristup
Datum isteka embarga: 2023-08-18
Uvjeti korištenjaIkona licence Imenovanje-Nekomercijalno-Bez prerada 4.0 međunarodna (CC BY-NC-ND 4.0)
Datum i vrijeme pohrane2022-12-01 13:28:55
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