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  • 1
    Monograph available for loan
    Monograph available for loan
    Englewood Cliffs : Prentice Hall
    Call number: M 95.0690
    Type of Medium: Monograph available for loan
    Pages: xix, 412 S.
    ISBN: 0131252380
    Classification:
    Ecology
    Language: English
    Location: Upper compact magazine
    Branch Library: GFZ Library
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  • 2
    Monograph available for loan
    Monograph available for loan
    New York [u.a.]
    Call number: MOP 45202 / Mitte
    Type of Medium: Monograph available for loan
    Pages: 440 S. : graph. Darst.
    ISBN: 0122944801
    Location: MOP - must be ordered
    Branch Library: GFZ Library
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  • 3
    Monograph available for loan
    Monograph available for loan
    New York [u.a.] : Freeman
    Call number: AWI A2-94-0189
    Type of Medium: Monograph available for loan
    Pages: XIII, 446 S. : Abb., z.T.farb. ; 25 cm
    ISBN: 0716723344
    Branch Library: AWI Library
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  • 4
    Call number: AWI A12-95-0064 ; PIK N 442-92-1097
    Type of Medium: Monograph available for loan
    Pages: XII, 732 S.
    ISBN: 0122944852
    Location: A 18 - must be ordered
    Branch Library: AWI Library
    Branch Library: PIK Library
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  • 5
    Publication Date: 2019
    Electronic ISSN: 2398-9629
    Topics: Biology
    Published by Springer Nature
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  • 6
    Publication Date: 2011-05-11
    Description: The recycling of metals is widely viewed as a fruitful sustainability strategy, but little information is available on the degree to which recycling is actually taking place. This article provides an overview on the current knowledge of recycling rates for 60 metals. We propose various recycling metrics, discuss relevant aspects of recycling processes, and present current estimates on global end-of-life recycling rates (EOL-RR; i.e., the percentage of a metal in discards that is actually recycled), recycled content (RC), and old scrap ratios (OSRs; i.e., the share of old scrap in the total scrap flow). Because of increases in metal use over time and long metal in-use lifetimes, many RC values are low and will remain so for the foreseeable future. Because of relatively low efficiencies in the collection and processing of most discarded products, inherent limitations in recycling processes, and the fact that primary material is often relatively abundant and low-cost (which thereby keeps down the price of scrap), many EOL-RRs are very low: Only for 18 metals (silver, aluminum, gold, cobalt, chromium, copper, iron, manganese, niobium, nickel, lead, palladium, platinum, rhenium, rhodium, tin, titanium, and zinc) is the EOL-RR above 50% at present. Only for niobium, lead, and ruthenium is the RC above 50%, although 16 metals are in the 25% to 50% range. Thirteen metals have an OSR greater than 50%. These estimates may be used in considerations of whether recycling efficiencies can be improved; which metric could best encourage improved effectiveness in recycling; and an improved understanding of the dependence of recycling on economics, technology, and other factors.
    Print ISSN: 1088-1980
    Electronic ISSN: 1530-9290
    Topics: Energy, Environment Protection, Nuclear Power Engineering
    Published by Wiley
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  • 7
    Publication Date: 2015-06-06
    Description: Evaluating metal criticality is a topic that addresses future metals supply and that has inspired research in corporations, academic institutions, and governments. In this article, we apply a comprehensive criticality methodology to seven specialty metals—scandium (Sc), strontium (Sr), antimony (Sb), barium (Ba), mercury (Hg), thallium (Tl), and bismuth (Bi)—at the national and global levels for 2008. The results are presented along with uncertainty estimates in a three-dimensional “criticality space” comprised of supply risk (SR), vulnerability to supply restriction (VSR), and environmental implications (EI) axes. The SR score is the highest for antimony over the medium term (i.e., 5 to 10 years), followed very closely by bismuth and thallium; for the long term (i.e., a few decades), the highest SR is for thallium, followed very closely by antimony. Strontium and barium, followed very closely by mercury, have the lowest SR over the medium term, and mercury has the lowest SR over the long term. Mercury has the highest EI score. For VSR, thallium is the most vulnerable at both the national level (for the United States) and global level, followed by strontium at both levels. In general, specialty metals are found to possess a unique mix of sparse data, toxicity concerns (in some cases), and inadequate or nonexistent substitutes for a number of specialized uses, a situation that would seem to demand increased effort in acquiring the information needed to characterize specialty metal criticality with more rigor and transparency than is currently possible.
    Print ISSN: 1088-1980
    Electronic ISSN: 1530-9290
    Topics: Energy, Environment Protection, Nuclear Power Engineering
    Published by Wiley
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  • 8
    Publication Date: 2015-01-10
    Description: Concerns about the future availability and continuity of metal supplies have triggered research efforts to define and assess metal criticality. In this study, we apply a comprehensive methodology to the elements of the geological zinc, tin, and lead family: zinc (Zn); germanium (Ge); cadmium (Cd); indium (In); tin (Sn); and lead (Pb). Zn, Sn, and Pb have played important roles in various technological sectors for centuries, whereas Ge, Cd, and In are by-product metals that are increasingly utilized in emerging and strategic technologies. Criticality assessments are made on national (i.e., the United States) and global levels for 2008. The results are presented with uncertainty estimates in three-dimensional “criticality space,” comprised of supply risk (SR), environmental implications, and vulnerability to supply restriction (VSR) axes. SR is the highest for In for both the medium (i.e., five to ten years) and long term (i.e., a few decades). Pb and Zn have the lowest SR for the medium term and Pb the lowest SR for the long term. In and Ge production have the highest environmental burdens, mainly as a result of emissions from Zn smelting and subsequent metals purification and recovery from Zn leaching residues. VSR is highest for Pb at the global and national levels.
    Print ISSN: 1088-1980
    Electronic ISSN: 1530-9290
    Topics: Energy, Environment Protection, Nuclear Power Engineering
    Published by Wiley
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  • 9
    Publication Date: 2012-04-05
    Description: Markov chain (MC) modeling is a versatile tool in policy analysis and has been applied in several forms to analyze resource flows. This article builds on previous discussions of the relationship among absorbing Markov chains (AMCs), material flow analysis (MFA), and input-output (IO) analysis, and presents a full-scale application of MC modeling for a particular globally relevant, nonrenewable resource, namely nickel. The MC model presented here is built on comprehensive, recently compiled nickel flow data for 52 geographic regions. Considering all possible cycles of recycling and reuse, nickel extracted in 2005 is estimated to have a technological lifetime of 73 ± 7 years. During its global journey, nickel enters use, for some application somewhere in the world, an average of three times, the largest share of which occurs in China. Nickel entering fabrication in 2005 is estimated to enter use approximately four times. Over time, nickel is lost to the environment and as a tramp element in carbon steel; the final distribution of nickel among these absorbing states is 78% and 22%, respectively. Of all the nickel in ore extracted in 2005, fully 28% will eventually end up in the tailings, slag, and landfills of China. MC results are also combined with geographically specific life cycle inventory data to determine the overall energy invested in nickel during its many cycles of use. MCs provide a powerful tool for tracking resources through the network of global production, use, and waste management, and opportunities for further integration with other modeling efforts are also discussed.
    Print ISSN: 1088-1980
    Electronic ISSN: 1530-9290
    Topics: Energy, Environment Protection, Nuclear Power Engineering
    Published by Wiley
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  • 10
    Publication Date: 2012-04-15
    Description: Markov chain (MC) modeling is a versatile tool in policy analysis and has been applied in several forms to analyze resource flows. This article builds on previous discussions of the relationship among absorbing Markov chains (AMCs), material flow analysis (MFA), and input-output (IO) analysis, and presents a full-scale application of MC modeling for a particular globally relevant, nonrenewable resource, namely nickel. The MC model presented here is built on comprehensive, recently compiled nickel flow data for 52 geographic regions. Considering all possible cycles of recycling and reuse, nickel extracted in 2005 is estimated to have a technological lifetime of 73 ± 7 years. During its global journey, nickel enters use, for some application somewhere in the world, an average of three times, the largest share of which occurs in China. Nickel entering fabrication in 2005 is estimated to enter use approximately four times. Over time, nickel is lost to the environment and as a tramp element in carbon steel; the final distribution of nickel among these absorbing states is 78% and 22%, respectively. Of all the nickel in ore extracted in 2005, fully 28% will eventually end up in the tailings, slag, and landfills of China. MC results are also combined with geographically specific life cycle inventory data to determine the overall energy invested in nickel during its many cycles of use. MCs provide a powerful tool for tracking resources through the network of global production, use, and waste management, and opportunities for further integration with other modeling efforts are also discussed.
    Print ISSN: 1088-1980
    Electronic ISSN: 1530-9290
    Topics: Energy, Environment Protection, Nuclear Power Engineering
    Published by Wiley
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