Astrup, Thomas Fruergaard

Bakas, Ioannis

Hauschild, Michael Zwicky

McKone, T.E.

Rosenbaum, R.K.

Online Research Database In Technology

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Downloaded from orbit.dtu.dk on: Dec 20, 2017Towards a more robust fate modeling of metals’ long-term emissions in an LCIAcontextBakas, Ioannis; McKone, T.E. ; Astrup, Thomas Fruergaard; Hauschild, Michael Zwicky; Rosenbaum,R.K.Publication date:2014Link back to DTU OrbitCitation (APA):Bakas, I., McKone, T. E., Astrup, T. F., Hauschild, M. Z., & Rosenbaum, R. K. (2014). Towards a more robustfate modeling of metals’ long-term emissions in an LCIA context. Poster session presented at SETAC Europe24th Annual Meeting, Basel, Switzerland.Towards a more robust fate modeling of metals’ l t i i i LCIA t tong- erm em ss ons n an  con exIoannis Bakas1, T.E. McKone2, T.F. Astrup3, M.Z. Hauschild1, R.K. Rosenbaum41: Division for Quantitative Sustainability Assessment, DTU Management Engineering, Technical University of Denmark, Kgs. Lyngby, Denmark2: Lawrence Berkeley National Laboratory, Berkeley, California, USA3: Department of Environmental Engineering, Technical University of Denmark, Kgs. Lyngby, Denmark4: irstea, National Research Institute of Science and Technology for Environment and Agriculture. Montpellier, FranceAIM CONCLUSIONS• Similar patterns of fate factors development for all soiltypes for each metal• Residence times in the upper soil layer and in saturatedzone change over time• Residence times in all other compartments remain relatively stable over the modeled time period• The soil layers’ thickness: most influential parameter ford t i i  th  t l ’ f tDevelop dynamic fate factors for long-term emissions of selected heavy metals• based on the evolution of soil parameters• by respecting the individual characteristics of selectedmetals• by taking into account spatial variationse erm n ng e me a s a eSilty SoilRESULTS1.00E+041.20E+041.40E+041.60E+041.80E+04days) 1.50E+062.00E+062.50E+068.00E+031.00E+041.20E+041.40E+04for Aquiferdays)Ni2.00E+062.50E+063.00E+063.50E+064.00E+035.00E+036.00E+037.00E+03for Aquiferdays)Sandy Soil Clay Soil0.00E+002.00E+034.00E+036.00E+038.00E+031 6 11 16 21 26 31 36 41 46 51 56 61 66 71 76 81 86 91 96FF (dTime Step0.00E+005.00E+051.00E+060.00E+002.00E+034.00E+036.00E+031 7 13 19 25 31 37 43 49 55 61 67 73 79 85 91 97FF (days) FF ( dTime Step0.00E+005.00E+051.00E+061.50E+060.00E+001.00E+032.00E+033.00E+031 7 13 19 25 31 37 43 49 55 61 67 73 79 85 91 97FF (days) fFF (dTime Step8 00E+031.00E+041.20E+042.00E+072.50E+078 00E+031.00E+041.20E+04quifer8 00E+061.00E+071.20E+075.00E+036.00E+037.00E+03quiferGround soilRoot zoneVadose zoneGround WaterSurface waterSedimentMETHODZn0.00E+002.00E+034.00E+036.00E+03.1 6 11 16 21 26 31 36 41 46 51 56 61 66 71 76 81 86 91 96FF (days)Time Step0.00E+005.00E+061.00E+071.50E+070.00E+002.00E+034.00E+036.00E+03.1 7 13 19 25 31 37 43 49 55 61 67 73 79 85 91 97FF (days) for AqFF (days)Time Step0.00E+002.00E+064.00E+066.00E+06.0.00E+001.00E+032.00E+033.00E+034.00E+031 7 13 19 25 31 37 43 49 55 61 67 73 79 85 91 97FF (days) for AqFF (days)Time StepModeling the evolution of soil for 100,000 years1. Select influential parameters that determine fate of Ni, Zn,Cd, Pb emissions to soil2. Model the development of parameters over the next 100,000years based on literature models and soil chemistry3. Select soil types: Sandy, Silty, Clay4. Model each soil type for 100 time steps (1,000 years each)with changing soil parameters in CalTOX multimedia model5 Obtain fate factors for 100 time steps for each metal and soilParameter Correlation with Calculated for ReferenceAnnual average precipitation Temperature Full time period IPCC, 2013; Kuhl and Litt, 2003Thickness of the ground soil layerPhysical and chemical weathering and translocation processes Full time period Salvador-Blanes et al., 2007Soil particle density Sand/Silt/Clay content Full time period Salvador-Blanes et al., 2007Water content in surface soil n.r. Only initial conditions Batjes, 2008Erosion of surface soil n.r. Only initial conditions Montgomery, 2007Thickness of the root-ilPhysical and chemical weathering d t l ti Full time period Salvador-Blanes et al., 2007.type6. Perform sensitivity analysis in order to pinpoint the most crucial parameters for fate calculations as check of the selection of step 1zone so an  rans oca on processes      Water content of root-zone soil n.r. Only initial conditions Batjes, 2008Thickness of the vadose-zone soilPhysical and chemical weathering and translocation processes Full time period Salvador-Blanes et al., 2007Water content; vadose-zone soil n.r. Only initial conditions Batjes, 2008Ambient environmental temperaturen.r. Full time period IPCC, 2013; Kuhl and Litt, 2003Organic carbon fraction in upper soil Temperature, annual average i it ti t i ti Full time period Parton et al., 1987For further information, please contact Ioannis Bakas (ioba@dtu.dk)    zone prec p a on, evapo rasp ra on     Organic carbon fraction in vadose zoneTemperature, annual average precipitation, evapotraspiration Full time period Parton et al., 1987Partition coefficient in ground/root soil layer pH Only initial conditions Janssen et al., 1997Partition coefficient in vadose-zone soil layer pH Only initial conditions Janssen et al., 1997Figure 1:The CalTOXenvironmental compartments

Towards a more robust fate modeling of metals’ long-term emissions in an LCIA context

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Towards a more robust fate modeling of metals’ long-term emissions in an LCIA context

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