Spatial characterisation of multi-level in-use copper and zinc stocks in Australia

Abstract A methodology has been developed to characterise the in-use stocks of copper and zinc at a variety of spatial levels. The approach employs representative concentrations of copper and zinc in their main in-use reservoirs (which account for virtually all the metal put into service) together with geographic information system (GIS) data sets of the spatial locations and densities of these reservoirs. The authors have applied this methodology to Australia at four spatial levels: central city, urban region, states/territories, and country, to produce what is believed to be the first multi-level spatial characterisations of the in-use stocks of technological materials. The results are presented quantitatively and as a series of stock density maps for Inner Sydney, Sydney Metro, all Australian states/territories, and Australia itself. The total stocks in Australia are estimated at about 4.3 Tg Cu (4.3 thousand million kg) and 3.8 Tg Zn (3.8 thousand million kg), or about 240 kg Cu/capita and 205 kg Zn/capita. A statistical analysis of the data shows that the metal stock density at a given spatial level is largely determined by a small number of high-density components at the next lower level. The spatial analysis of the in-use stocks indicates that 50% of all copper and zinc stock resides in just 10% of Australia's local government areas. The largest stocks occur in large urban regions, which can contain copper and zinc densities more than a hundred times higher than rural areas. These regions are expected to be major Australian “metal mines” in the future.

[1]  Helmut Rechberger,et al.  The contemporary European copper cycle: The characterization of technological copper cycles , 2002 .

[2]  Stephen E. Kesler,et al.  Mineral Resources, Economics, and the Environment , 1994 .

[3]  J. Jacobs,et al.  The Economy of Cities , 1969 .

[4]  Thomas E. Graedel,et al.  The magnitude and spatial distribution of in-use copper stocks in Cape Town, South Africa : research article , 2003 .

[5]  Robert B. Gordon,et al.  The Multilevel Cycle of Anthropogenic Zinc , 2005 .

[6]  P. Baccini,et al.  Sustainable metal management exemplified by copper in the USA , 1999 .

[7]  P. Burrough GIS and geostatistics: Essential partners for spatial analysis , 2001, Environmental and Ecological Statistics.

[8]  T. Graedel,et al.  Twentieth century copper stocks and flows in North America: A dynamic analysis , 2005 .

[9]  Andrew M. Liebhold,et al.  Geostatistics and Geographic Information Systems in Applied Insect Ecology , 1993 .

[10]  S. Levin,et al.  Mathematical and Computational Challenges in Population Biology and Ecosystems Science , 1997, Science.

[11]  Robert Haining,et al.  Providing spatial statistical data analysis functionality for the GIS user: the SAGE project , 2001, Int. J. Geogr. Inf. Sci..

[12]  Robert J. Klee,et al.  Multilevel cycle of anthropogenic copper. , 2004, Environmental science & technology.

[13]  U. Kitron,et al.  Landscape ecology and epidemiology of vector-borne diseases: tools for spatial analysis. , 1998, Journal of medical entomology.

[14]  Richard L. O 'Driscoll Description of spatial pattern in seabird distributions along line transects using neighbour K statistics , 1998 .

[15]  L. W. Ayres,et al.  The Life Cycle of Copper, Its Co-Products and Byproducts , 2003 .

[16]  Bo Bergbäck,et al.  Century Perspective of Heavy Metal Use in Urban Areas. A Case Study in Stockholm , 2001 .

[17]  W. Cleveland The elements of graphing data , 1986 .

[18]  Amit Kapur,et al.  The future of the red metal: discards, energy, water, residues, and depletion , 2006 .

[19]  James H. Jolly,et al.  Materials flow of zinc in the United States 1850–1990 , 1993 .

[20]  C. Weihs,et al.  Multivariate exploratory data analysis and graphics: A tutorial , 1993 .

[21]  Gregory A. Keoleian,et al.  Industrial ecology of the automobile : a life cycle perspective , 1997 .

[22]  S. Levin The problem of pattern and scale in ecology , 1992 .

[23]  D. van Beers,et al.  Copper and zinc recycling in Australia: potential quantities and policy options , 2007 .

[24]  Kurt H. Riitters,et al.  Assessing habitat suitability at multiple scales: A landscape-level approach , 1997 .

[25]  John W. Tukey,et al.  Exploratory Data Analysis. , 1979 .