Razvoj modela za procjenu generiranja komunalnog otpada primjenom neuronskih mreža

doctoral thesis

• Title (english): Development of the model for estimation of municipal waste generation using neural networks
• Author: Bojan Ribić
• Mentor: Nenad Bolf (mentor)
• Mentor: Dinko Sinčić (mentor)
• Committee member: Ana Lončarić Božić (predsjednik povjerenstva)
• Committee member: Ante Jukić (član povjerenstva)
• Committee member: Daniel Rolph Schneider (član povjerenstva)
• Granter: University of Zagreb; Faculty of Chemical Engineering and Technology; Zagreb
• Defense date and country: 2020-02-06, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Chemical Engineering; Environmental Protection in Chemical Engineering
• Universal decimal classification (UDC): 66 - Chemical technology. Chemical and related industries ; 628 - Public health engineering. Water. Sanitation. Illuminating engineering

Abstract

Cilj zakonske regulative EU vezane uz zaštitu okoliša koja se već primjenjuje u zakonodavstvu RH uvođenje je sustava cjelovitog i održivog gospodarenja otpadom. U sklopu tog sustava od iznimnog značaja je što bolja procjena količina generiranog komunalnog otpada o kojoj ovisi definiranje optimalnog sustava i planiranje u sektoru gospodarenja otpadom. U ovom istraživanju analizirani su dostupni podaci i razvijani modeli za procjenu generiranja komunalnog otpada primjenom neuronskih mreža uz odabrane socioekonomske pokazatelje i pokazatelje koji karakteriziraju gospodarenje otpadom u gradu Zagrebu. Ostvareni rezultati, temeljeni na ograničenom vremenskom rasponu, dobro opisuju kretanje pokazatelja sustava gospodarenja otpadom i pokazuju mogućnost predviđanja količine komunalnog otpada. Znanstveni je doprinos ovog rada u formuliranju novog modela neuronskih mreža temeljenog na odabranim socioekonomskim pokazateljima koji je uspješno primijenjen za procjenu generiranja komunalnog otpada.

Abstract (english)

The European Union's legislation related to environmental protection, already implemented in the national legislation of the Republic of Croatia, aims to introduce a system of integrated and sustainable waste management. This system represents one of the main challenges for many municipalities, mostly due to various binding targets in waste collection and treatment. Some of them are: reduction of waste generation and disposal, increase of the separately collected waste amounts and recycling rates. Within such a system, it is of utmost importance to have a better estimate of the future amounts of generated municipal waste. This directly influences planning in the waste management sector. The aim of this research was to develop and optimise model for the estimation of generated municipal waste by usage of neural networks, taking into account socioeconomic indicators as well as the variables and data characterizing the waste management for the city of Zagreb. The results obtained, based on limited time span data, describe the waste management trends and indicate the possibility to predict the amounts of generated municipal waste. Scientific contribution of this work lays in the development of the neural network model based on socioeconomic indicators and its successful application for the estimation of the municipal waste generation.

• Keywords: gospodarenje otpadom; modeliranje; neuronske mreže; održivost; recikliranje
• Keywords (english): waste management; modelling; neural networks; sustainability; recycling
• Language: croatian
• URN:NBN: urn:nbn:hr:149:507662
• Promotion: 2020
• Study programme: Title: Chemical Engineering - Doctoral Course; Study programme type: university; Study level: postgraduate; Academic / professional title: doktor/doktorica znanosti, područje tehničkih znanosti, polje kemijsko inženjerstvo (doktor/doktorica znanosti, područje tehničkih znanosti, polje kemijsko inženjerstvo)
• Type of resource: Text
• Extent: XII, 98 str. ; 30 cm
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2023-06-09 12:58:41