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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/35801 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/35801 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/35801 35806 1 79641 document 35806 indexcodes.txt text/x-pascal 9fc0174ae8ba0276ace88848cd9946ad MD5 5142 2016-03-01 13:31:05 https://pure.iiasa.ac.at/id/eprint/9175/6/indexcodes.txt 9175 6 6 text/x-pascal other Generate index codes conversion from text to indexcodes en public

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/35801 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/35801 http://eprints.org/relation/isIndexCodesVersionOf https://pure.iiasa.ac.at/id/document/35801 archive 351 disk0/00/00/91/75 2016-01-15 08:43:45 2021-08-27 17:21:12 2016-01-15 08:43:45 article show Chen S. Fath B.D. 7597 0000-0001-9440-6842 Chen B. pub iis_mod prog_dyn Urban metabolism; Ecological network analysis; Ascendancy; Overhead The system analysis of urban metabolic system, still a black box in urban research, has been underlined recently due to its important role in assessing the sustainability of urban ecosystem. An interpretation of the information indices from ecological network analysis when combined with urban metabolic research, however, has not been addressed systematically. In this study, a conceptual network model of urban metabolic systems was developed based on the identification of seven compartments. Emergy analysis and extended exergy analysis were introduced in order to define the proper way of quantifying the material and energy flows within the system. After that, the information indices derived from ecological network analysis such as developmental capacity, ascendancy, overload were proposed as the potential indicators reflecting the sustainability of urban development. An interpretation of these information indices when embedded into urban metabolic system was conducted to further demonstrate their potential application to urban research. With the qualification and interpretation of these information indices from network analysis, this study may provide some lights on unfolding the black box. 2010-12 published Elsevier 10.1016/j.proenv.2010.10.082 XJ-10-141 Procedia Environmental Sciences; 2:720-724 (Published online online 10 December 2010) [doi:10.1016/j.proenv.2010.10.082] ISEIS, 27-29 August 2010, Beijing, China 84 public Procedia Environmental Sciences 2 720-724 TRUE 1878-0296 FALSE info:eu-repo/semantics/article