Erratum to: A global approach for sparse representation of uncertainty in Life Cycle Assessments of waste management systems (Int J Life Cycle Assess, 10.1007/s11367-015-1014-4);A global approach for sparse representation of uncertainty in Life Cycle Assessments of waste management systems

International Journal of Life Cycle Assessment

Volumn 21, Issue 3, 2016, Pages 378-394

  Bisinella, Valentina ^a   Conradsen, Knut ^a   Christensen, Thomas Højlund ^a   Astrup, Thomas Fruergaard ^a  

^a TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

Author keywords

Analytical methods; Global sensitivity analysis; LCA; Monte Carlo; Total variance; Uncertainty propagation

Indexed keywords

ANALYTIC METHOD; ARTICLE; DENMARK; GLOBAL SENSITIVITY ANALYSIS; LIFE CYCLE ASSESSMENT; MONTE CARLO METHOD; MUNICIPAL SOLID WASTE; PRIORITY JOURNAL; SENSITIVITY ANALYSIS; UNCERTAINTY; WASTE MANAGEMENT;

EID: 84958108404     PISSN: 09483349     EISSN: 16147502     Source Type: Journal    
DOI: 10.1007/s11367-016-1259-6     Document Type: Erratum

References (31)

1. Archer GEB, Saltelli A, Sobol IM (1997) Sensitivity measures, ANOVA-like techniques and the use of bootstrap. J Stat Comput Simul 58:99–120
2. Bala A, Raugei M, Benveniste G, Gazulla C, Fullana-i-Palmer P (2010) Simplified tools for global warming potential evaluation: when “good enough” is best. Int J Life Cycle Assess 15:489–498
3. Bojacá CR, Schrevens E (2010) Parameter uncertainty in LCA: stochastic sampling under correlation. Int J Life Cycle Assess 15:238–246
4. Borgonovo E, Castaings W, Tarantola S (2011) Moment independent importance measures: new results and analytical test cases. Risk Anal 31:404–428
5. Bourgault G, Lesage P, Samson R (2012) Systematic disaggregation: a hybrid LCI computation algorithm enhancing interpretation phase in LCA. Int J Life Cycle Assess 17:774–786
6. Ciroth A, Fleischer G, Steinbach J (2004) Uncertainties in LCA uncertainty calculation in life cycle assessments—a combined model of simulation and approximation. Int J Life Cycle Assess 9(4):216–226
7. Clavreul J, Guyonnet D, Christensen TH (2012) Quantifying uncertainty in LCA-modelling of waste management systems. Waste Manag 32:2482–2495
8. Clavreul J, Baumeister H, Christensen TH, Damgaard A (2014) An environmental assessment system for environmental technologies. Environ Model Softw 60:18–30
9. European Commission-Joint Research Centre-Institute for Environment and Sustainability (2010) International Reference Life Cycle Data System (ILCD) handbook: analysing of existing environmental impact assessment methodologies for use in life cycle assessment
10. Groen EA, Heijungs R, Bokkers EAM, de Boer IJM (2014) Methods for uncertainty propagation in life cycle assessment. Environ Model Softw 62:316–325
11. Heijungs R (1996) Identification of key issues for further investigation in improving the reliability of life-cycle assessments. J Clean Prod 4(3–4):159–166. doi:10.1016/S0959-6526(96)00042-X, ISSN 0959–6526
12. Heijungs R (2010) Sensitivity coefficients for matrix-based LCA. Int J Life Cycle Assess 15:511–520
13. Heijungs R, Kleijn R (2001) Numerical approaches towards life cycle interpretation five examples. Int J Life Cycle Assess 6:141–148
14. Heijungs R, Lenzen M (2014) Error propagation methods for LCA—a comparison. Int J Life Cycle Assess 19:1445–1461
15. Heijungs R, Suh S, Kleijn R (2005) Numerical approaches to life cycle interpretation—the case of the Ecoinvent’96 database. Int J Life Cycle Assess 10:103–112
16. Hong J (2012) Uncertainty propagation in life cycle assessment of biodiesel versus diesel: global warming and non-renewable energy. Bioresour Technol 113:3–7
17. Hong J, Shaked S, Rosenbaum RK, Jolliet O (2010) Analytical uncertainty propagation in life cycle inventory and impact assessment: application to an automobile front panel. Int J Life Cycle Assess 15:499–510
18. Huijbregts MAJ (1998) Part II: dealing with parameter uncertainty and uncertainty due to choices in life cycle assessment. Int J Life Cycle Assess 3:343–351
19. Huijbregts MAJ, Gilijamse W, Ragas AMJ, Reijnders L (2003) Evaluating uncertainty in environmental life-cycle assessment. A case study comparing two insulation options for a Dutch one-family dwelling. Environ Sci Technol 37:2600–2608
20. Imbeault-Tétreault H, Jolliet O, Deschênes L, Rosenbaum RK (2013) Analytical propagation of uncertainty in life cycle assessment using matrix formulation. J Ind Ecol 17:485–492
21. Jensen MB, Kromann M, Lund Neidel T, Bjørn Jakobsen J, Møller J (2013) Miljø- og samfundsøkonomisk vurdering af muligheder for øget genanvendelse af papir, pap, plast, metal og organisk affald fra dagrenovation. Miljøprojekt nr 1458
22. Kioutsioukis I, Tarantola S, Saltelli A, Gatelli D (2004) Uncertainty and global sensitivity analysis of road transport emission estimates. Atmos Environ 38:6609–6620
23. Laurent A, Bakas I, Clavreul J, Bernstad A, Niero M, Gentil E, Hauschild MZ, Christensen TH (2014a) Review of LCA studies of solid waste management systems—part I: lessons learned and perspectives. Waste Manag 34:573–588
24. Laurent A, Clavreul J, Bernstad A, Bakas I, Niero M, Gentil E, Christensen TH, Hauschild MZ (2014b) Review of LCA studies of solid waste management systems—part II: methodological guidance for a better practice. Waste Manag 34:589–606
25. Lloyd SM, Ries R (2007) Characterizing, propagating and analyzing uncertainty in life-cycle assessment. A survey of quantitative approaches. J Ind Ecol 11:161–179
26. Meinrenken CJ, Kaufman SM, Ramesh S, Lackner KS (2012) Fast carbon footprinting for large product portfolios. J Ind Ecol 16:669–679
27. Meinrenken CJ, Sauerhaft BC, Garvan AN, Lackner KS (2014) Combining life cycle assessment with data science to inform portfolio-level value-chain engineering. J Ind Ecol 18:641–651
28. Padey P, Beloin-saint-pierre D, Girard R, Le-Boulch D, Blanc I (2012) Understanding LCA results variability: developing global sensitivity analysis with Sobol indices. Int Symp Life Cycle Assess Constr Civ Eng Build
29. Saltelli A, Ratto M, Tarantola S, Campolongo F (2006) Sensitivity analysis practices: strategies for model-based inference. Reliab Eng Syst Saf 91:1109–1125
30. Saltelli A, Annoni P, Azzini I, Campolongo F, Ratto M, Tarantola S (2010) Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index. Comput Phys Commun 181:259–270
31. Sobol’ I (2001) Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates. Math Comput Simul 55:271–280