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Idrijca and Soča/Isonzo river discharges estimation for modelling mercury pollution
ID Škerjanec, Mateja (Author), ID Atanasova, Nataša (Author), ID Žagar, Dušan (Author), ID Novak, Gorazd (Author)

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Abstract
River discharges play an important role in understanding mercury fate in contaminated catchments. While hydrological and hydraulic models are commonly used to calculate discharges, their complexity and computational costs often pose challenges. This study evaluates the fit of the statistical curve and one of the machine learning methods, namely model trees, and explores their performance in predicting downstream river discharges based on upstream discharge measurements. The model trees method performs better, particularly with high discharges, which transport the vast majority of mercury downstream. The resulting relationships can be used as an input to various models assessing the impact of mercury pollution from the former mine in Idrija and the climate change on mercury transport in the river systems of the Idrijca and Soča/Isonzo rivers. The application of such models will improve our understanding of mercury cycling in the contaminated catchment and in the Gulf of Trieste’s coastal environment.

Language:English
Keywords:discharge, mercury, Idrijca, Soča river, curve fitting, model trees
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FGG - Faculty of Civil and Geodetic Engineering
Publication status:Published
Publication version:Version of Record
Year:2024
Number of pages:Str. 153-171
Numbering:Vol. 37, no. 67
PID:20.500.12556/RUL-169041 This link opens in a new window
UDC:556.53:504.5
ISSN on article:0352-3551
DOI:10.15292/acta.hydro.2024.09 This link opens in a new window
COBISS.SI-ID:231183363 This link opens in a new window
Publication date in RUL:08.05.2025
Views:308
Downloads:70
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Record is a part of a journal

Title:Acta hydrotechnica
Publisher:Fakulteta za gradbeništvo in geodezijo
ISSN:0352-3551
COBISS.SI-ID:3664386 This link opens in a new window

Licences

License:CC BY-NC-SA 4.0, Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International
Link:http://creativecommons.org/licenses/by-nc-sa/4.0/
Description:A Creative Commons license that bans commercial use and requires the user to release any modified works under this license.

Secondary language

Language:Slovenian
Title:Ocena pretokov Idrijce in Soče za modeliranje onesnaženosti z živim srebrom
Abstract:
Pretoki rek igrajo pomembno vlogo pri razumevanju usode živega srebra v onesnaženih porečjih. Za določitev pretokov se običajno uporabljajo hidrološki in hidravlični modeli, žal pa njihova kompleksnost in stroški, povezani z njihovo postavitvijo, pogosto predstavljajo izziv. Ta študija primerja statistično metodo prileganja krivulje (angl. curve fitting) in eno izmed metod strojnega učenja, tj. modelna drevesa, ter raziskuje njihovo učinkovitost pri napovedovanju dolvodnih pretokov rek na podlagi gorvodnih meritev pretokov. Modelna drevesa dajejo boljše rezultate, predvsem pri visokih pretokih, ko je tudi transport živega srebra največji. Izračunana razmerja pretokov lahko uporabimo kot vhodne podatke v različnih vrstah modelov za oceno vplivov onesnaženja z živim srebrom iz nekdanjega rudnika v Idriji ter podnebnih sprememb na transport živega srebra po rečnem sistemu Idrijce in Soče, katerih uporaba bo pripomogla k boljšemu razumevanju kroženja živega srebra v onesnaženem porečju in v obalnem okolju Tržaškega zaliva.

Keywords:pretok, živo srebro, reka Soča, prileganje krivulje, modelna drevesa

Projects

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:J1-3033
Name:Inovativne izotopske tehnike za identificakcijo virov in biogeokemijskega kroženja živega srebra na kontaminairnih območjih - IsoCont

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P2-0180
Name:Vodarstvo in geotehnika: orodja in metode za analize in simulacije procesov ter razvoj tehnologij

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