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Publikācija: A Methodology for Forecasting Hazardous Waste Flows

Publication Type Scientific article indexed in SCOPUS or WOS database
Funding for basic activity Unknown
Defending: ,
Publication language English (en)
Title in original language A Methodology for Forecasting Hazardous Waste Flows
Field of research 2. Engineering and technology
Sub-field of research 2.7 Environmental engineering and energetics
Authors Jānis Vilgerts
Lelde Timma
Dagnija Blumberga
Keywords hazardous waste, sustainable development, benchmarking, waste management, indicators, forecast models.
Abstract During past years a great attention is paid to the problem of hazardous waste management. “Prevention costs” of the activities concerned with hazardous waste (HW) are lower than “restoration costs” after damage is done. Within the scope of the paper the methodology for forecasting the hazardous waste flows was elaborated. The methodology of the research included 6 modules: historical data, assumptions, choose of indicators, data processing, and data analysis with STATGRAPHICS, and forecast models. The proposed methodology was validated for the case for Latvia. A new type of the indicator based on the HW intensity within the Statistical Classification of Economic Activities in the European Community (NACE Rev. 2) sectors and households has been developed. The indicator allows assessing the HW production intensity. The results of the study suggest that HW intensity in Latvia is forecasted to slowly decrease by 3.8 % in next six year. The pessimistic prognosis (upper 95 %) gives an increase in HW intensity by 44.5 %, but intermediate (upper and lower 50 %) gives a corridor of + 18.4 % to – 36.1 %.
DOI: 10.2495/EHR130191
Hyperlink: http://library.witpress.com/pages/paperinfo.asp?PaperID=24341 
Reference Vilgerts, J., Timma, L., Blumberga, D. A Methodology for Forecasting Hazardous Waste Flows. WIT Transactions on Biomedicine and Health, 2013, Vol.16, pp.227-236. e-ISSN 1743-3225. ISSN 1747-4485. Available from: doi:10.2495/EHR130191
Additional information Citation count:
  • Scopus  0
ID 15470