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Modeling urban metabolism of Beijing city, China: with a coupled system dynamics: emergy model

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Abstract

Chinese cities are plagued by the rise in resource and energy input and output over the last decade. At the same time, the scale and pace of economic development sweeping across Chinese cities have revived the debate about urban metabolisms, which could be simply seen as the ratio of output to resource and energy input in urban systems. In this study, an emergy (meaning the equivalent solar energy) accounting, sustainable indices of urban metabolisms, and an urban metabolic system dynamics model, are developed in support of the research task on Chinese cities ‘metabolisms and their related policies. The dynamic simulation model used in the paper is capable of synthesizing component-level knowledge into system behavior simulation at an integrated level, which is directly useful for simulating and evaluating a variety of decision actions and their dynamic consequences. For the study case, interactions among a number of Beijing’s urban emergy components within a time frame of 20 years (from 2010 to 2030) are examined dynamically. Six alternative policy scenarios are implemented into the system simulation. Our results indicate that Beijing’s current model of urban metabolism—tertiary industry oriented development mode—would deliver prosperity to the city. However, the analysis also shows that this mode of urban metabolism would weaken urban self-support capacity due primarily to the large share of imported and exported emergy in the urban metabolic system. The keys of improving the efficiency of urban metabolism include the priority on the renewable resource and energy, increase in environmental investment and encouragement on innovative technologies of resource and energy utilization, et al.

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References

  • Alexandra M, Alexia P, Gustav F, Warren CS (1996) Slow-fast dynamics in wonderland. Environ Model Asses 1:3–17

    Article  Google Scholar 

  • Angerhofer BJ, Angelides MC (2000) Proceedings. System dynamics modelling in supply chain management: research review Simulation Conference 1: 342–351

  • Arquitt S, Johnstone R (2008) Use of system dynamics modelling in design of an environmental restoration banking institution. Ecol Econ 65:63–75

    Article  Google Scholar 

  • Ascione M, Campanella L, Cherubinic F, Ulgiati S (2009) Environmental driving forces of urban growth and development, an emergy-based assessment of the city of Rome, Italy. Landsc Urban Plan 93:238–249

    Article  Google Scholar 

  • Bach NL, Saeed K (1992) Food self-sufficiency in Vietnam: a search for a viable solution. Sys Dyn Rev 8:129–148

    Article  Google Scholar 

  • Bakshi BR (2000) A thermodynamic framework for ecologically conscious process systems engineering. Comput Chem Eng 24(2–7):1767–1773

    Article  CAS  Google Scholar 

  • Bald J, Borja A, Muxika I (2006) A system dynamics model for the management of the gooseneck barnacle (Pollicipes) in the marine reserve of Gaztelugatxe (Northern Spain). Ecol Model 194(1–3):306–315

    Article  Google Scholar 

  • Barredo J, Kasanko M, McCormick M, Lavalle C (2003) Modelling dynamic spatial processes: simulation of urban future scenarios through cellular automata. Landsc Urban Plan 64:145–160

    Article  Google Scholar 

  • Bastianoni SB, Campbell D, Susani L et al (2005) The solar transformity of oil and petroleum natural gas. Ecol Model 186:212–220

    Article  CAS  Google Scholar 

  • Brown MT, Ulgiati S (1999) Emergy evaluation of the biosphere and natural capital. Ambio 28:486–493

    Google Scholar 

  • Brown MT, Ulgiati S (2002) Emergy evaluations and environmental loading of electricity production systems. J Clean Prod 10:321–334

    Article  Google Scholar 

  • Chen SQ, Chen B (2012) Determining carbon metabolism in urban areas though network environ theory. Procedia Environ Sci 13:2246–2255

    Article  CAS  Google Scholar 

  • Coyle RG (1996) System dynamics modelling, a practical approach. Chapman & Hall, London

    Book  Google Scholar 

  • Dyson B, Chang NB (2005) Forecasting of solid waste generation in an urban region by system dynamics modeling. Waste Manag 25(7):669–679

    Article  Google Scholar 

  • Fischer-Kowalski M (1998) Society’s Metabolism: the intellectual history of materials flow analysis. J Ind Ecol 2:61–78

    Article  Google Scholar 

  • Ford A (1996) Testing snake river explorer. Sys Dyn Rev 12:305–329

    Article  Google Scholar 

  • Forrester J (1961) Industrial Dynamics. MIT Press, USA

    Google Scholar 

  • Guan D, Gao W, Su W, Li H, Hokao K (2011) Modeling and dynamic assessment of urban economy–resource–environment system with a coupled system dynamics–geographic information system model. Ecol Ind 11:1333–1344

    Article  Google Scholar 

  • Guo HC, Liu L, Huang GH, Fuller GA, Zou R, Yin YA (2001) System dynamics approach for regional environmental planning and management: a study for the Lake Erhai Basin. J Environ Manage 61:93–111

    Article  CAS  Google Scholar 

  • He CY, Shi PJ, Chen J (2005) Developing land use scenario dynamics model by the integration of system dynamics model and cellular automata model. Sci China (D Earth Sci) 4(11):1979–1989

    Article  Google Scholar 

  • Huang SL (1998) Urban ecosystems energetic hierarchies and ecological economics of Taipei metropolis. J Environ Manage 52(1):39–51

    Article  Google Scholar 

  • Huang SL, Chen CW (2005) Theory of urban energetics and mechanisms of urban development. Ecol Model 189(1–2):49–57

    Article  Google Scholar 

  • Huang SL, Hsu WL (2003) Materials flow analysis and emergy evaluation of Taipei’s urban construction. Landsc Urban Plan 63(2):61–75

    Article  Google Scholar 

  • Jiang MM, Chen B, Zhou JB, Tao FR, Li Z, Yang ZF, Chen GQ (2007) Emergy account for biomass resource exploitation by agriculture in China. Energy Policy 35(9):4704–4719

    Google Scholar 

  • Kennedy C, Pincetl S, Bunje P (2011) The study of urban metabolism and its applications to urban planning and design. Environ Pollut 8:1965–1973

    Article  Google Scholar 

  • Kissinger M, Rees WE (2010) Importing terrestrial biocapacity: the US case and global implications. Land Use Policy 27:589–599

    Article  Google Scholar 

  • Lan SF, Odum HT (1994) Emergy evaluation of the environment and economy of Hongkong. J Environ Sci 6(4):432–439

    Google Scholar 

  • Lei KP, Wang ZS (2008) Emergy synthesis of tourism-based urban ecosystem. J Environ Manage 88(4):831–844

    Article  Google Scholar 

  • Li F, Wang R, Paulussena J, Liu X (2005) Comprehensive concept planning of urban greening based on ecological principles: a case study in Beijing, China. Landsc Urban Plan 72(4):325–336

    Article  Google Scholar 

  • Li W, Wu C, Zang S (2012) Modeling urban land use conversion of Daqing City, China: a comparative analysis of ‘‘top-down’’ and ‘‘bottom-up’’ approaches. Stoch Env Res Risk Assess. doi:10.1007/s00477-012-0671-0

    Google Scholar 

  • Lu HF, Ye Z, Zhao XF, Peng SL (2003) A new emergy index for urban sustainable development. Acta ecologica sinica 23(7):1363–1368

    Google Scholar 

  • Ma Q (2010) The Study on the Optimization and Control Model of Urban Development Dynamics Based on PRED Systematic Complexity (2010) International Conference on Optics. Photonics and Energy Engineering, Institute of Electrical and Electronics Engineers(IEEE)

    Google Scholar 

  • Milik A, Prskawetz A, Feichtinger G, Sanderson WC (1996) Slow-fast dynamics in Wonderland. Environ Model Assess 1:3–17

    Article  Google Scholar 

  • Mohammed Q, Arunee I (2001) Management policies and the diffusion of data warehouse: a case study using system dynamics-based decision support system. Decis Support Syst 31(2):223–240

    Article  Google Scholar 

  • Newman PWG (1999) Sustainability and cities: extending the metabolism model. Landsc Urban Plan 44:219–226

    Article  Google Scholar 

  • Newman P, Kenworthy J (1999) Sustainability and Cities: Overcoming Automobile Dependence. Island Press, Washington

    Google Scholar 

  • Odum HT (1983) System ecology: an introduction. Wiley, New York 644

    Google Scholar 

  • Odum HT (1988) Emergy, Environmental and Public Policy: a guide to the analysis of system. Regional Seas Reports and Studies No. 95, United Nations Environment Programme, 109

  • Odum HT (1996) Environmental accounting: emergy and environmental decision making. John Wiley, NY 370

    Google Scholar 

  • Odum HT, Brown MT, Williams SB (2000a) Handbook of emergy evaluation. Folio#2. Emergy of global processes. Florida: Center for Environmental Policy. University of Florida, Gainesville

    Google Scholar 

  • Odum HT, Brown MT, Brandt-Williams S (2000b) Introduction and global budget (Folio#1). Handbook of emergy evaluation Florida Center for Environmental Policy. University of Florida, Gainesville

    Google Scholar 

  • Saeed K (1994) Development planning and policy design: a system dynamics approach. Avebury, Brookfield

    Google Scholar 

  • Sahely HR, Dudding S, Kennedy CA (2003) Estimating the urban metabolism of Canadian cities: greater Toronto area case study. Can J Civil Eng 30(2):83–468

    Article  Google Scholar 

  • Saysel AK, Barlas Y, Yenigün O (2002) Environmental sustainability in an agricultural development project: a system dynamics approach. J Environ Manage 64:247–260

    Article  Google Scholar 

  • Scienceman DM (1987) Energy and emergy. In: Pillet G, Murota T (eds) Environmental economics: the analysis of a major interface. Leimgruber, Geneva, pp 257–276

    Google Scholar 

  • Su MR (2010) Emergy-based urban ecosystem health evaluation of the Yangtze River Delta urban cluster in China. Procedia Environ Sci 2:689–695

    Article  Google Scholar 

  • Sufian MA, Bala BK (2007) Modeling of urban solid waste management system: the case of Dhaka city. Waste Manage 27:858–868

    Article  CAS  Google Scholar 

  • Sun YF, Guo HC, Qu GY (2002) A system dynamics approach for sustainable development in the Miyun reservoir area, China. Chin Geogr Sci 12(2):157–165

    Article  Google Scholar 

  • Tilley DR (1999) Emergy basis of forest systems. University of Florida, UMI Dissertation Services, Ann Arbor MI, 296

  • Ton S, Odum HT, Delfino JJ (1988) Ecological–economic evaluation of wetland management alternatives. Ecol Eng 11:291–302

    Article  Google Scholar 

  • Ulgiati S, Brown MT, Bastianoni S (1994) Emergy use, environmental loading and sustainability: an emergy analysis of Italy. Ecol Model 73(3–4):215–268

    Article  Google Scholar 

  • Ulgiati S, Brown MT, Bastianoni S, Marchettini N (1995) Emergy-based indices and ratios to evaluate the sustainable use of resources. Ecol Eng 5:519–531

    Article  Google Scholar 

  • Warren-Rhodes K, Koenig A (2001) Escalating Trends in the Urban Metabolism of Hong Kong: 1971-1997. Royal Swed Acad Sci 30:429–438

    CAS  Google Scholar 

  • Wolman A (1965) The metabolism of cities. Sci Am 213(3):179–190

    Article  CAS  Google Scholar 

  • Zhang Y, Yang ZF (2007) Eco-efficiency of urban material metabolism: a case study in Shenzhen, China. Acta Ecologica Sinica 27(8):3124–3131

    Article  Google Scholar 

  • Zhang Y, Yang ZF, Yu XY (2009) Evaluation of urban metabolism based on emergy synthesis: a case study for Beijing (China). Ecol Model 220(13–14):1690–1696

    Article  CAS  Google Scholar 

  • Zhang Y, Yang ZF, Liu GY, Yu XY (2011) Emergy analysis of the urban metabolism of Beijing. Ecol Model 222:2377–2384

    Article  Google Scholar 

  • Zhu L, Li H, Chen J, John R, Liang T, Yan M (2012) Emergy-based sustainability assessment of Inner Mongolia. J Geogr Sci 22(5):843–858

    Article  Google Scholar 

Download references

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Correspondence to Fang-qu Niu.

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Foundation item: Under the auspices of National Natural Science Foundation of China (No. 40971100, 41101119).

Appendix

Appendix

See Table 6.

Table 6 Abbreviations and equations for variables and parameters in the SD model

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Song, T., Cai, Jm., Chahine, T. et al. Modeling urban metabolism of Beijing city, China: with a coupled system dynamics: emergy model. Stoch Environ Res Risk Assess 28, 1511–1524 (2014). https://doi.org/10.1007/s00477-013-0830-y

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