Prediktivni model nastanka komunalnog otpada u Hrvatskoj na temelju podataka o otpadu u razdoblju 2009. - 2017.

master's thesis

• Title: Prediktivni 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
• Author: Ivan Krivić
• Mentor: Anamarija Grbeš (mentor)
• Committee member: Anamarija Grbeš (predsjednik povjerenstva)
• Committee member: Želimir Veinović (član povjerenstva)
• Committee member: Rajna Rajić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Mining, Geology and Petroleum Engineering; (Department of Mining and Geotechnical Engineering); Zagreb
• Defense date and country: 2019-02-15, 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: komunalni otpad; nastanak otpada; gospodarenje otpadom; prediktivni model
• Keywords (english): municipal solid waste; waste generation; waste management; predictive modelling
• Language: croatian
• URN:NBN: urn:nbn:hr:169:360983
• Study programme: Title: 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 resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2019-04-03 09:42:56