Abstract
An evaluation of an organization’s environmental performance has to be done using two general categories of indicators: (1) indicators describing management and operation performance; and (2) environmental condition indicators that reveal the organization’s impact on the environment. The latter cannot be done without systematic standardized observations and measurements conducted directly on the impacted environment. Integration of an organization’s environmental performance evaluation into the organization’s governance requires automated procedures for data collection and analysis. This chapter considers an organization’s environmental impact assessment with respect to water resources. It investigates formal approaches to temporal monitoring design producing sufficient data for the assessment and demonstrates how these approaches can be incorporated into organizational environmental information system.
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References
Azzone G, Noci G, Manzini R, Welford R, Young CW (1996) Defining environmental performance indicators: an integrated framework. Bus Strateg Environ 5(2):69–80
Bennete M, James P (1999) ISO 14031 and the future of environmental performance evaluation. In: Bennett M, James P (eds) Sustainable measures: evaluation and reporting of environmental and social performance. Greenleaf Publisher, Sheffield, pp 76–97
Cagno E, Tardini L, Trucco P (2007) EPIDesign: integrating corporate strategies into the development process of an environmental performance evaluation system. In: Sroufe R, Sarkis J (eds) Strategic sustainability. The state of the art in corporate environmental management systems. Greenleaf Publisher, Sheffield, pp 20–42
Campolongo F, Saltelli A, Sørensen T, Tarantola S (2000) Hitchhiker’s guide to sensitivity analysis. In: Saltelli A, Chan K, Scott EM (eds) Sensitivity analysis. Wiley, Chichester, pp 15–47
Christini G, Harzam MW, Mattews DH, Hendrickson C (2007) A comparison of environmental system components and practices. In: Sroufe R, Sarkis J (eds) Strategic sustainability. The state of the art in corporate environmental management systems. Greenleaf Publisher, Sheffield, pp 43–55
Conn AR, Gould NIM, Toint PL (1997) A globally convergent augmented Lagrangian algorithm for optimization with general constraints and simple bounds. Math Comput 66(217):261–288
Cuadros-Rodriguez L, Hernandez Torres ME, Almansa Lopez E, Egea Gonzalez FJ, Arrebola Liebanas FJ, Martinez Vidal JL (2002) Assessment of uncertainty in pesticide multiresidue analytical methods: main sources and estimation. Anal Chim Acta 454:297–314
Environment Canada (2005) Knowledge integration strategic division national environmental indicator series. http://www.ec.gc.ca/soer-ree/English/Indicators
Erechtchoukova MG, Khaiter PA (2009) Investigation of monitoring designs for water quality assessment In: Anderssen B et al (eds) 18th IMACS world congress—MODSIM09 international congress on modelling and simulation, 13–17 July 2009, Cairns, Australia, pp 3612–3618
Erechtchoukova MG, Khaiter PA (2010) Efficiency criteria for water quality monitoring. In: Swayne DA, Yang W, Voinov AA, Rizzoli AE, Filatova T (eds) 2010 International congress on environmental modelling and software modelling for environment’s sake, fifth biennial meeting, 5 July 2010, Ottawa, Canada pp 272–279
Erechtchoukova MG, Chen SY, Khaiter PA (2010) Investigation of environmental monitoring designs for corporate management information systems. In Teuteberg F, Marx Gomez J (eds) Corporate environmental management information systems: advancements and trends. IGI Publishing, Hershey, pp 138–154
Erechtchoukova MG, Khaiter PA (2011) A model-driven approach to uncertainty reduction in environmental data. In: Golinska P, Fertsch M, Marx-Gomez J (eds) Information technology in environmental engineering: new trends and challenges. Springer, Berlin, pp 107–122
Gleser LJ (1998) Assessing uncertainty in measurement. Stat Sci 13(3):277–290
Groot S, Schilperoort T (1983) Optimization of water quality monitoring networks. Water Sci Technol 16:275–287
Harmel RD, Cooper RJ, Slade RM, Haney R, Arnold JG (2006) Cumulative uncertainty in measured streamflow and water quality data for small watersheds. Trans ASABE 49(3):689–701
International Organization for Standardization (1993) Guide to expression of uncertainty in measurement, 1st edn. International Standards Organization, Geneva
International Organization for Standardization (2004) Environmental management systems—requirements with guidance for use (ISO 14001:2004). International Organization for Standardization, Jersey City
Lopez-Fernandez MC, Serrano-Bedia AM (2007) Organizational consequences of implementing an ISO 14001 environmental management system: an empirical analysis. Organ Environ 20(4):440–459
Oktem U, Lewis P, Donovan D, Hagan JR, Pace T (2007) EMS and sustainable development: a model and comparative studies of integration. In: Sroufe R, Sarkis J (eds) Strategic sustainability. The state of the art in corporate environmental management systems. Greenleaf Publisher, Sheffield, pp 56–75
Overton WS, Stehman SV (1995) Design implications of anticipated data uses for comprehensive environmental monitoring programmes. Environ Ecol Stat 2:287–303
Richardson JR, Berish CW (2003) Data and information issues in modelling for resource management decision making: communication is the key. In: Dale VH (ed) Ecological modelling for resource management. Springer, New York, pp 167–179
Verfallie HA, Bidwell R (2000) Measuring eco-efficiency. A guide to reporting company performance. World Business Council for Sustainable Development. http://www.gdrc.org/sustbiz/wbcsd.html. Accessed 19 June 2009
Acknowledgments
The authors are grateful to anonymous reviewers for their thoughtful suggestions and helpful comments on the manuscript. Part of the research was done based on the data sets prepared in Hydrochemical Institute, the Russian Federation.
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Erechtchoukova, M., Khaiter, P. (2013). Assessing Environmental Impact in Environmental Information Systems: Measurements and Monitoring. In: Golinska, P. (eds) EcoProduction and Logistics. EcoProduction. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23553-5_15
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DOI: https://doi.org/10.1007/978-3-642-23553-5_15
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