A methodology for forecasting hazardous waste flows

In previous years, great attention has been 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 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 for 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 years. The pessimistic prognosis (upper 95%) gives an increase in HW intensity by 44.5%, but the intermediate (upper and lower 50%) gives a corridor of +18.4% to –36.1%.

[1]  N Musee,et al.  New methodology for hazardous waste classification using fuzzy set theory Part I. Knowledge acquisition. , 2008, Journal of hazardous materials.

[2]  D. Štreimikienė Comparison of carbon dioxide and nuclear waste storage costs in Lithuania , 2012 .

[3]  Massimiliano Mazzanti,et al.  Is waste generation de-linking from economic growth? Empirical evidence for Europe , 2008 .

[4]  N Musee,et al.  New methodology for hazardous waste classification using fuzzy set theory Part II. Intelligent decision support system. , 2008, Journal of hazardous materials.

[5]  N Musee,et al.  An aggregate fuzzy hazardous index for composite wastes. , 2006, Journal of hazardous materials.

[6]  W. Han,et al.  Research on the Quantitative Relationship between the Generation of Industrial Solid Waste and Per Capita GDP of Henan Province , 2011 .

[7]  Hongping Yuan Key indicators for assessing the effectiveness of waste management in construction projects , 2013 .

[8]  Christa D. Court Enhancing U.S. hazardous waste accounting through economic modeling , 2012 .

[9]  L Giusti,et al.  A review of waste management practices and their impact on human health. , 2009, Waste management.

[10]  Göran Östblom,et al.  Decoupling waste generation from economic growth -- A CGE analysis of the Swedish case , 2010 .

[11]  Göran Östblom,et al.  Future Waste Scenarios for Sweden based on a CGE-model , 2009 .

[12]  R Weltens,et al.  Screening tests for hazard classification of complex waste materials--selection of methods. , 2012, Waste management.

[13]  B. Wilke,et al.  Ecotoxicological characterization of hazardous wastes. , 2008, Ecotoxicology and environmental safety.

[14]  Daniel A. Vallero,et al.  Waste : a handbook for management , 2011 .

[15]  E Elimelech,et al.  Hazardous waste management and weight-based indicators--the case of Haifa Metropolis. , 2011, Journal of hazardous materials.

[16]  A M M Moreira,et al.  Assessment of medical waste management at a primary health-care center in São Paulo, Brazil. , 2013, Waste management.

[17]  Massimiliano Mazzanti,et al.  Waste generation, waste disposal and policy effectiveness Evidence on decoupling from the European Union , 2008 .

[18]  Arup Das,et al.  Vulnerability assessment using hazard potency for regions generating industrial hazardous waste. , 2012, Journal of hazardous materials.

[19]  Marta Herva,et al.  Development of a methodology to assess the footprint of wastes. , 2010, Journal of hazardous materials.

[20]  Raimo Lilja,et al.  Industrial hazardous wastes in Finland – trends related to the waste prevention goal , 2008 .

[21]  Selena Grujić,et al.  Register of hazardous materials in printing industry as a tool for sustainable development management , 2012 .