Abstract
In the recent past, the Sepetiba Bay watershed, located in the Rio de Janeiro State, Brazil has experienced rapid industrial development and population growth, as well as an increase in water pollution and environmental degradation. To analyze the complex interrelationships among the agents affecting the Sepetibza Bay environment, a system dynamics model was developed. The model builds on extensive studies conducted for the watershed, and simulates different hypotheses of economic growth and of demographic expansion. Thus, it can be used as a decision support tool for the identification of investment priorities and policy analyses under various scenarios. In order to provide a comprehensive approach to the environmental management of the Sepetiba Bay watershed, the model had to consider only the most relevant aspects of the behavior and the key interactions among agents operating in the watershed. In this article, the model’s structure is presented together with some of its main results.
Similar content being viewed by others
References
Arquitt A., R. Johnstone. 2004. A scoping and consensus building model of a toxic blue-green algae bloom. System Dynamics Rev 20:179–198
Clark B. T., N. Burkardt, M. D. King. 2005. Watershed management and organizational dynamics: Nationwide findings and regional variation. Environ Manage 36:297–310
Costanza R., M. Ruth. 1998. Using dynamic modeling to scope environmental problems and build consensus. Environ Manage 22:183–195
Dangerfield B. C., Y. Fang, C. A. Roberts. 2001. Model-based scenarios for the epidemiology of HIV/AIDS: the consequences of highly active antiretroviral therapy. System Dynamics Rev 17:119–150
Georgantzas N. C. 2003. Tourism dynamics: Cyprus’ hotel value chain and profitability. System Dynamics Rev 19:175–212
Hannon B., M. Ruth. 1994. Dynamic modeling. Springer-Verlag, New York, 248 pp
High Performance Systems. 2002. Stella technical documentation. High Performance Systems Inc., Hanover, New Hampshire
IBAM. 1998. Guia das Unidades de Conservação Ambiental do Rio de Janeiro. IBAM/DUMA/PCRJ/SMAC, 208 pp
Krutilla K., R. Reuveny. 2006. The systems dynamics of endogenous population growth in a renewable resource-based growth model. Ecol Economics 56:256–267
Meadows D. H., D. L. Meadows, J. Randers. 1992. Beyond the limits: confronting global collapse, envisioning a sustainable future. Chelsea Green Publishing Co., Post Mills, Vermont, 320 pp
Radzicki M. J., J. D. Sterman. 1994. Evolutionary economics and system dynamics. In R. W. England (ed) Evolutionary concepts in contemporary economics. University of Michigan Press, Ann Arbor, 272 pp
SEMA—Secretaria de Estado do Meio Ambiente do Estado do Rio de Janeiro. 1997a. Relatório R5-consolidação das bases para planejamento, tomo I, volume III–caracterização e diagnóstico das comunidades bióticas marinhas da baía de Sepetiba. In Macroplano de gestão e saneamento ambiental da bacia da Baía de Sepetiba. Rio de Janeiro, 167 pp
SEMA–Secretaria de estado de meio ambiente do estado do Rio de Janeiro. 1997b. Relatório R5-consolidação das bases para planejamento, tomo III-uso do solo urbano e análise do zoneamento industrial. In Macroplano de gestão e saneamento ambiental da bacia da Baía de Sepetiba. Rio de Janeiro, 129 pp
SEMA–Secretaria de estado de meio ambiente do Estado do Rio de Janeiro. 1997c. Relatório R3—estudos sócio-econômicos e projeções demográficas. In Macroplano de gestão e saneamento ambiental da bacia da Baía de Sepetiba. Rio de Janeiro, 252 pp
SEMA–Secretaria de estado de meio ambiente do estado do Rio de Janeiro. 1997d. Relatório R8-plano diretor de recursos hídricos e de saneamento, tomo IV—plano diretor de esgoto sanitário. In Macroplano de gestão e saneamento ambiental da bacia da Baía de Sepetiba. Rio de Janeiro, 50 pp
SEMA–Secretaria de estado de meio ambiente do estado do Rio de Janeiro. 1998. Relatório R8-plano diretor de recursos hídricos e de saneamento, tomo II-I—instrumentos de apoio à decisão—modelo SIMOX. In Macroplano de gestão e saneamento ambiental da bacia da Baía de Sepetiba, Rio de Janeiro
SEMADS–Secretaria de estado de meio ambiente e desenvolvimento sustentável. 2001. Avaliação da qualidade da água da bacia da baía de Sepetiba, outubro/1995–julho/1998. Rio de Janeiro, 178 pp
Sterman J. D., L. B. Sweeney. 2002. Cloudy skies: assessing public understanding of global warming. System Dynamics Rev 18:207–240
Verburg P. H., W. Soepboer, A. Veldkamp, R. Limpiada, V. Espaldon. 2002. Modeling the spatial dynamics of regional land use: The CLUE-S model. Environ Manage 30:391–405
World Bank. 1996. Brazil: managing environmental pollution in the state of Rio de Janeiro. Volume I—policy report. August 22, 1996 (available at http://www.worldbank.org)
Acknowledgments
The authors would like to express their thanks to the many people who contributed to the development of SBEM, and to the anonymous referees of this journal for their useful comments on earlier versions of the manuscript. Of course, the authors remain solely responsible for the contents of the paper.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Leal Neto, A.d., Legey, L.F.L., González-Araya, M.C. et al. A System Dynamics Model for the Environmental Management of the Sepetiba Bay Watershed, Brazil. Environmental Management 38, 879–888 (2006). https://doi.org/10.1007/s00267-005-0211-5
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00267-005-0211-5