Abstract
There are several suspected sources of lead contamination in the Dominican Republic (DR) to which populations, to a greater or lesser extent, may be exposed. These sources include: a lead battery recycling plant, a gold mine and vehicles using leaded gasoline. In this paper we create and compare indices of spatial vulnerability using different index construction methods including: the weighted average, ordered weighted average, and Data Envelopment Analysis. The vulnerability attributes used to create these indices include: exposure to lead effluents in water from the gold mine as measured by distance from potentially contaminated water, point source lead air emissions from the battery recycling plant estimated by air plume analysis; and mobile source exposure to lead emissions from road transportation measured by potential traffic impacts. The intensities of vulnerability to lead of the towns and cities in the DR, produced by each of the different index construction methods, are compared and evaluated.
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Notes
The descriptions of the WA and Data Envelopment Analysis (DEA) indices are adapted from Ratick et al. 2009.
References
AIMMS. (2011). http://www.aimms.com/. Accessed January 2011.
Algazerra.net. (2010). http://english.aljazeera.net/news/africa/2010/06/201064182049228431.html. Accessed March 2010.
BBC News. (2010). http://news.bbc.co.uk/2/hi/world/africa/10254110.stm. Accessed March 2010.
Blacksmith Institute. (2009). (www.blacksmithinstitute.org/haina.html).
Calabrese, E. J. (1981). Nutrition and environmental health: The influence of nutritional status on pollutant toxicity and carcinogenicity. New York: Wiley.
Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429–444.
Charnes, A., Cooper, W., Lewin, Y., & Seiford, L. M. (1994). Data envelopment analysis: Theory, methodology and application. Norwell, MA: Kluwer Academic Publishers.
Church, R. L., & Murray, A. M. (2008). Business site selection, location analysis and GIS. New York: Wiley.
Cimorelli, A. J., Perry, S. G., Venkatram, A., Weil, J. C., Paine, R. J., Wilson, R. B., et al. (2004). AERMOD: Description of model formulation. EPA-454/R-03–004, US Environmental Protection Agency, Office of Air Quality Planning and Standards Emissions Monitoring and Analysis Division. North Carolina: Research Triangle Park.
Clark, G. E., Moser, S. C., Ratick, S. J., Dow, K., Meyer, W. B., Emani, S., et al. (1998). Assessing the vulnerability of coastal communities to extreme storms: The case of Revere, MA, USA. Mitigation and Adaption Strategies for Global Change, 3(1), 59–82.
Cutter, S., & Finch, C. (2008). Temporal and spatial changes in social vulnerability to natural hazards. Proceedings, National Academy of Sciences, 105(7), 2301–2306.
Cutter, S. L., Mitchell, J. T., & Scott, M. (2000). Revealing the vulnerability of people and places: A case study of Georgetown County, South Carolina. Annals of the Association of American Geographers, 90(4), 713–737.
Cutter, S. L., Boruff, B. J., & Shirley, W. L. (2003). Social vulnerability to environmental hazards. Social Science Quarterly, 84(2), 242–261.
Dow, K. (1992). Exploring differences in our common future(s): The meaning of vulnerability to global environmental change. Geoforum, 23(3), 417–436.
Eakin, H., & Bojorquez-Tapia, L. A. (2008). Insights into the composition of household vulnerability from multicriteria decision analysis. Global Environmental Change, 18(1), 112–127.
Eakin, H., & Luers, A. (2006). Assessing the vulnerability of social-environmental systems. Annual Review of Environment and Resources, 31, 365–394.
Eastman, J., Jiang, H., & Toledano, J. (1998). Multi-criteria and multi-objective decision making for land allocation using GIS. In E. Beinat & P. Nijkamp (Eds.), Multicriteria analysis for land-use management (pp. 227–252). The Netherlands: Kluwer.
Falk, H. (2003). International environmental health for the pediatrician: case study of lead poisoning. Pediatrics, 112(1), 259–264.
Farrell, M. J. (1957). The measure of productive efficiency. Journal of Regional Statistical Society Series A, 120, Part 3, 253–281.
Federal climate complex global surface summary. (2009). (http://gcmd.nasa.gov/records/GCMD_GLOBALSOD_NCDC.html).
Gordon, B., Mackay, R., & Rehfuess, E. (2008). Lead: IQ alert. In Inheriting the world: The atlas of children’s health and the environment. Geneva: World Health Organization; 2004(pp. 34–35). Available: www.who.int/ceh/publications/14lead.pdf. Accessed 15 May 2008.
Jiang, H., & Eastman, J. (2000). Application of fuzzy measures in multi-criteria evaluation in GIS. International Journal of Geographical Information Science, 14(2), 173–184.
Malczewski, J. (1999). GIS and multicriteria decision analysis. New York: Wiley.
Nardo, M., et al. (2005). handbook on constructing composite indicators: Methodology and user guide. OECD Statistics Working Papers. 2005/3. OECD Publishing.
Polsky, C., Neff, R., & Yarnal, B. (2007). Building comparable global change vulnerability assessments: The vulnerability scoping diagram. Global Environmental Change, 17(3–4), 472–485.
Ratick, S. J., Capoccia, S., Dichter, A., Goble, R., Golding, D., Hattis, D., et al. (2005). Determining the vulnerability of populations to mercury, The US Environmental Protection Agency, The Office of Air and Radiation, The Office of Policy Analysis and Review, Contract Officer: Ellen Brown, Final Report, Contract Number: XA—83067901-0.
Ratick, S. J., Morehouse, H., & Klimberg, R.(2009). Creating an index of vulnerability to severe coastal storms along the North Shore of Boston. In K. D. Lawrence & G. Kleinman (Eds.), Financial modeling applications and data envelopment applications (Applications of management science) (Vol. 13, pp. 143–178). UK: Emerald Group.
Rygel, L., O’Sullivan, D., & Yarnal, B. (2006). A method for constructing a social vulnerability index: An application to hurricane storm surges in a developed country. Mitigation and Adaptation Strategies for Global Change, 11(3), 741–764.
Turner, B. L., Kasperson, R. E., Matson, P., McCarthy, J. J., Corell, R. W., Christensen, L., et al. (2003). A framework for vulnerability analysis in sustainability science. Proceedings, National Academy of Sciences, 100(14), 8074–8079.
Wei, Y., Fan, Y., Cong, L., & Hsien-Tang, T. (2004). The assessment of vulnerability to natural disasters in China using the DEA method. Environmental Impact Assessment Review, 24(4), 427–439.
Wu, S. Y., Yarnel, B., & Fisher, A. (2002). Vulnerability of coastal communities to sea level rise, a case study of Cape May County, New Jersey, USA’. Climate Research, 22(3), 255–270.
Yager, R. (1988). On ordered weighted averaging aggregation operators in multi-criteria decision making. IEEE T ransactions on Systems, Man, and Cybernetics, 18(1), 183–190.
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Ratick, S.J., Osleeb, J.P. Measuring the vulnerability of populations susceptible to lead contamination in the Dominican Republic: evaluating composite index construction methods. GeoJournal 78, 259–272 (2013). https://doi.org/10.1007/s10708-011-9414-x
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DOI: https://doi.org/10.1007/s10708-011-9414-x