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master's thesis
Prediktivni model nastanka komunalnog otpada u Hrvatskoj na temelju podataka o otpadu u razdoblju 2009. - 2017.
diplomski rad
Zagreb: University of Zagreb, Faculty of Mining, Geology and Petroleum Engineering, 2019. urn:nbn:hr:169:360983
Krivić, Ivan
University of Zagreb
Faculty of Mining, Geology and Petroleum Engineering
Department of Mining and Geotechnical Engineering

Institutional repository: Faculty of Mining, Geology and Petroleum Engineering Repository, University of Zagreb

Cite this document

Krivić, I. (2019). Prediktivni model nastanka komunalnog otpada u Hrvatskoj na temelju podataka o otpadu u razdoblju 2009. - 2017. : diplomski rad (Master's thesis). Zagreb: University of Zagreb, Faculty of Mining, Geology and Petroleum Engineering. Retrieved from https://urn.nsk.hr/urn:nbn:hr:169:360983

Krivić, Ivan. "Prediktivni model nastanka komunalnog otpada u Hrvatskoj na temelju podataka o otpadu u razdoblju 2009. - 2017. : diplomski rad." Master's thesis, University of Zagreb, Faculty of Mining, Geology and Petroleum Engineering, 2019. https://urn.nsk.hr/urn:nbn:hr:169:360983

Krivić, Ivan. "Prediktivni model nastanka komunalnog otpada u Hrvatskoj na temelju podataka o otpadu u razdoblju 2009. - 2017. : diplomski rad." Master's thesis, University of Zagreb, Faculty of Mining, Geology and Petroleum Engineering, 2019. https://urn.nsk.hr/urn:nbn:hr:169:360983

Krivić, I. (2019). 'Prediktivni model nastanka komunalnog otpada u Hrvatskoj na temelju podataka o otpadu u razdoblju 2009. - 2017. : diplomski rad', Master's thesis, University of Zagreb, Faculty of Mining, Geology and Petroleum Engineering, accessed 14 May 2024, https://urn.nsk.hr/urn:nbn:hr:169:360983

Krivić I. Prediktivni model nastanka komunalnog otpada u Hrvatskoj na temelju podataka o otpadu u razdoblju 2009. - 2017. : diplomski rad [Master's thesis]. Zagreb: University of Zagreb, Faculty of Mining, Geology and Petroleum Engineering; 2019 [cited 2024 May 14] Available at: https://urn.nsk.hr/urn:nbn:hr:169:360983

I. Krivić, "Prediktivni model nastanka komunalnog otpada u Hrvatskoj na temelju podataka o otpadu u razdoblju 2009. - 2017. : diplomski rad", Master's thesis, University of Zagreb, Faculty of Mining, Geology and Petroleum Engineering, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:169:360983

Metadata
TitlePrediktivni model nastanka komunalnog otpada u Hrvatskoj na temelju podataka o otpadu u razdoblju 2009. - 2017. : diplomski rad
Title (english)Predictive model of municipal waste generation in Croatia based on data on waste in the period 2009. - 2017. : master’s thesis
AuthorIvan Krivić
MentorAnamarija Grbeš (mentor)
Committee memberAnamarija Grbeš (predsjednik povjerenstva)
Committee memberŽelimir Veinović (član povjerenstva)
Committee memberRajna Rajić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Mining, Geology and Petroleum Engineering
(Department of Mining and Geotechnical Engineering)
Zagreb
Defense date and country2019-02-15, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Mining, Petroleum and Geology Engineering
Mining
Abstract
Otpad, te posljedice lošeg gospodarenja otpadom kao što su onečišćavanje tla, zraka i mora neki su od glavnih problema današnjice. Europsko gospodarstvo još uvijek gubi značajnu količinu potencijalnih sekundarnih sirovina iz otpada. Za kvalitetno planiranje i upravljanje u gospodarenju otpadom te rješavanje tih problema u kontekstu ekonomskih i demografskih promjena nužno je moći predvidjeti trendove proizvodnje otpada. U ovom radu se istražuju prediktivne metode prognoziranja proizvodnje komunalnog otpada za RH na temelju podataka iz razdoblja 2009.-2017. Izrađeni su različiti regresijski modeli za predviđanje proizvedene količine komunalnog otpada u RH na temelju tri nezavisne varijable: broj stanovnika, turistički ekvivalent stanovnika i ukupna godišnja neto plaća zaposlenih u pravnim osobama. Najbolje rezultate pokazali su regresijski modeli populacijskih i ekonomskih pokazatelja.
Abstract (english)
Waste and consequences of inefficient waste management such as polution of soil, air, water and ocean are some of the main issues in modern world. European economies are still losing significant quantities of secondary resources in waste. Solution of those problems requires constant improvement and control of waste management systems, and resilience to changes. Planning for the more efficient waste management and circular economy in context of economic and demographic changes, requires ability to predict the waste generation depending on the level of changes in the observed society. This research foccuses on predictive modelling of municipal waste generation in Croatia, based on data for period 2009-2017, and presents different regression predictive models: based on population, tourist equivalent of the population, and based on total anual net wages of employed in legal enterprises. Regression models of population and economy variables have resulted in the best prediction of municipal solid waste.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:169:360983
Study programmeTitle: Mining Engineering; specializations in: Mining engineering, Geotechnical engineering, Waste treatment and disposal
Course: Waste treatment and disposal
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka rudarstva (magistar/magistra inženjer/inženjerka rudarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2019-04-03 09:42:56