Naslov
Photooxidative degradation of pesticides in water: mechanistic modelling approach

Autori
Biloš, Gabrijela ; Morović, Silvia ; Jeličić, Mario-Livio ; Furač, Lidija ; Markić, Marinko ; Cvetnić, Matija ; Ukić, Šime ; Bolanča, Tomislav ; Kušić, Hrvoje ; Lončarić Božić, Ana

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
Hrvatski skup kemičara i kemijskih inženjera (25 ; 2017 ; Poreč), Knjiga sažetaka = Book of Abstracts / Šantić, Ana ; Đaković, Marijana - Zagreb : Hrvatsko društvo kemijskih inženjera i tehnologa (HDKI) ; Hrvatsko kemijsko drustvo, 2017, 93-93

Skup
25. hrvatski skup kemičara i kemijskih inženjera s međunarodnim sudjelovanjem 3. simpozij „Vladimir Prelog“

Mjesto i datum
Poreč, Hrvatska, 19.04.2017. - 22.04.2017

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
pesticides, advanced oxidation processes, UV-C/H2O2, mechanistic modelling

Sažetak
A worldwide concern for development of alternative water-reuse technologies continuously increases, mainly focused on industry and agriculture. The conventional water treatment technologies, mostly relying on physical and biological processes seems to be inadequate for effective removal of priority substances such as pesticides. At the same time, advanced oxidation processes (AOP) showed to be very effective for the same purpose. This study evaluates the applicability of photooxidative degradation of four pesticides from priority substances list within the EU Water Framework directive: namely alachlor, chlorphenvinfos, diuron, isoproturon. The aim of the work was development of a flexible mathematical/mechanistic model (MM) capable to describe UV-C/H2O2 process with further parameters:  conversion and mineralization kinetics of parent pollutant,  water quality during AOP treatment ; defined by chemical (COD) and biochemical (BOD5) oxygen demand,  changes of pH-value during AOP treatment. After model development, extensive statistical analysis was performed. The analysis revealed high correlation between predicted and empirical data. The applied MM model proved to be easy interpretable, transparent, flexible and accurate at the same time. Accordingly, it can be used for prediction of degradation of pesticides with complex structures by applying UV-C photo-assisted AOPs with hydrogen peroxide as oxidant

Izvorni jezik
Engleski

Znanstvena područja
Kemija, Kemijsko inženjerstvo

Napomena
Ovaj rad je izrađen u sklopu projekta „Modeliranje okolišnih aspekata napredne obrade voda za razgradnju prioritetnih onečišćivala“ Hrvatske zaklade za znanost na Fakultetu kemijskog inženjerstva i tehnologije Sveučilišta u Zagrebu.

POVEZANOST RADA