Application of Driving force- Pressure- State- Impact- Response (DPSIR) framework for integrated environmental assessment of the climate change in city of Tehran

Document Type : Original Research Paper

Authors

Graduate Faculty of Environment, University of Tehran, Iran

10.7508/pj.2016.01.009

Abstract

Climate change is a complicated issue with many factors playing role in its formation and distribution. Considering this complication, a comprehensive and holistic approach is needed for a better understanding and management of those factors. The causal frameworks are among systemic and integrated methods for addressing the causes of environmental problems and the relationships that exist between the environmental systems in order to propose proper solutions. The DPSIR model is a functional analysis framework that depicts the cause-effect relationships that exist in creating environmental problems. Tehran is one of the major megacities in the Middle East that faces environmental consequences of overpopulation and unplanned urban sprawl, and being located in an arid region, makes it vulnerable to rise of temperature and reduction of precipitation. In this research, by using the DPSIR framework, different aspects of climate condition of Tehran are analyzed and later with the help of this conceptual framework, strategies for controlling climate change are presented.

Keywords

References

Bidone, E. D., and Lacerda, L. D. (2004). The use of DPSIR framework to evaluate sustainability in coastal areas. Case study: Guanabara Bay basin, Rio de Janeiro, Brazil. Region. Environ. Change., 4, 5–16.
Bulkeley, H., Edwards, G. A., and Fuller, S. (2014). Contesting climate justice in the city: Examining politics and practice in urban climate change experiments. Global Environ. Change, 25, 31-40.
Gasper, R., Blohm, A., and Ruth, M. (2011). Social and economic impacts of climate change on the urban environment. Curr. Opin. Environ. Sustain., 3 (3), 150-157.
Hamin, E. M., and Gurran, N. (2009). Urban form and climate change: Balancing adaptation and mitigation in the U.S. and Australia. Habitat Int., 33, 238-245.
Koornneef, J., Ramírez, A., Turkenburg W., and Faaij, A. (2011). The environmental impact and risk assessment of CO transport and storage -an evaluation of the knowledge base using the DPSIR framework. Energy Procedia, 4, 2293–2300.
Larsen, S. V., Kørnøv, L., and Driscoll, P. (2013). Avoiding climate change uncertainties in Strategic Environmental Assessment. Environ. Impact Asses., 43, 144-150.
Ness, B., Anderberg, S., and Olsson, L. (2010). Structuring problems in sustainability science: The multi-level DPSIR framework. Geoforum, 41, 479–488.
Niemeijer, D., and de Groot, R. S. (2008). A conceptual framework for selecting environmental indicator sets. Ecol. Indi., 8, 14-25.
Shu-dong, Z., Mueller, F., Burkhard, B., Xing-jin, C., and Ying, H. (2013). Assessing Agricultural Sustainable Development Based on the DPSIRApproach: Case Study in Jiangsu, China. J. Integr. Ag., 12(7), 1292-1299.
Sodoudi, S., Shahmohammadi, P., Vollack, K., Cubasch, U., and Che-Ani, A. I. (2014). Mitigating the Urban Heat Island Effect in Megacity Tehran. Adv. Meteorol., 1, 1-19.
Spangenberg, J. H., Douguet, J. M., Settele, J., Heong, K. L. (2015). Escaping the lock-in of continuous insecticide spraying in rice: Developing an integrated ecological and socio-political DPSIR analysis. Ecol. Model., 295, 188–195.
Svarstad, H., Petersen, L. K., Rothman, D., Siepel, H., and Watzold, F. (2008). Discursive biases of the environmental research framework DPSIR. Land Use Policy, 25 (1), 116-125.
Tscherning, K., Helming, K. Krippner, B ., Sieber, S. and Paloma, S. G. (2012). Does research applying the DPSIR framework support decisionmaking? Land Use Policy, 29, 102-110.
World-Bank. (2010). Cities and Climate: Change: An Urgent Agenda. Washington: World Bank.
Yavari, H., and Saligheh, M. (2011). Air pollution Inversion Levels in Tehran city. Journal of Geogr. Sci., 17 (20), 89-105.
Pollution
Volume 2, Issue 1 - Serial Number 1
January 2016
Pages 83-92

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