ESTONIAN ACADEMY
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Estonian Journal of Ecology
Adaptation of a method for involving environmental aspects in spatial planning of river basin management – a case study of the Narva River basin; pp. 302–320
PDF | doi: 10.3176/eco.2010.4.05

Authors
Kristjan Piirimäe, Karin Pachel, Alvina Reihan
Abstract
A method for environmental planning (MEP) was adapted for use in water management in large drainage basins. Using a semi-dynamic method, Fuzzy Cognitive Mapping, an expert system divided the studied Narva River basin into three distinct environmental zones. Consequences were calculated based on environmental effects on and significances of waterbodies. In the DPSIR (referring to driving forces, pressures, state, impacts, and responses) framework, the expert system quantified the effects of large-scale spatial plans into impacts and consequences. Also, several existing concepts were integrated to define environmental sensitivity, which comprises two components: (1) strength of links between components in the DPSIR framework and (2) significance of the feature of interest. The results revealed environmentally cost-effective principles for localizing various driving forces such as wastewater treatment, oil shale mining, and agricultural activities.
References

Allan, J. D., Abell, R., Hogan, Z., Revenga, C., Taylor, B. W., Welcomme, R. L. & Winemiller, K. 2005. Overfishing of inland waters. Bioscience, 55, 1041–1051.
doi:10.1641/0006-3568(2005)055[1041:OOIW]2.0.CO;2

Anonymous. 2010. Energiamajanduse riiklik arengukava aastani 2020. http://www.mkm.ee/public/ENMAK.pdf (visited 2010-08-06).

Azzellino, A., Salvetti, R. & Vismara, R. 2008. Combined use of watershed models to assess the apportionment of point and non point load sources to surface waters. In Sustainable Use and Development of Watersheds (Gönenc, I. E., Vadineanu, A., Wolflin, J. P. & Russo, R. C., eds), pp. 369–383. Springer Netherlands.
doi:10.1007/978-1-4020-8558-1_23

Benetto, E., Dujet, Ch. & Rousseaux, P. 2008. Integrating fuzzy multicriteria analysis and uncertainty evaluation in life cycle assessment. Environ. Modell. Softw., 23, 1461–1467.
doi:10.1016/j.envsoft.2008.04.008

Chen, S. H., Jakeman, A. J. & Norton, J. P. 2008. Artificial intelligence techniques: an introduction to their use for modelling environmental systems. Math. Comput. Simulat., 78, 379–400.
doi:10.1016/j.matcom.2008.01.028

Cowing, J. W., Tuong, T. P. & Hoanh, C. T. 2006. Land and water management in coastal zones: dealing with agriculture – aquaculture – fishery conflicts. In Environment and Livelihoods in Tropical Coastal Zones: Managing Agriculture – Fishery – Aquaculture Conflicts. Comprehensive Assessment of Water Management in Agriculture Series, No. 2 (Hoanh, C. T., Tuong, T. P., Gowing, J. W. & Hardy, B., eds), pp. 1–16. CABI Publishing.

European Community (EC). 2000. Directive 2000/60/EC of the European Parliament and of the Council of 23 October 2000 establishing a framework for community action in the field of water policy. Official Journal of the European Communities L327, pp. 1–72.

Garcia, S. M. & de Leiva Moreno, I. 2003. Global overview of marine fisheries. In Responsible Fisheries in the Marine Ecosystem (Sinclair, M. & Valdimarsson, G., eds), pp. 1–24. CABI Publishing.

Golledge, R. G. (ed.). 1999. Wayfinding Behavior. Cognitive Mapping and Other Spatial Processes. The Johns Hopkins University Press.

IMPRESS. 2002. Guidance for the Analysis of Pressures and Impacts in Accordance with the Water Framework Directive. Common Implementation Strategy Working Group 2.1, Office for Official Publications of the European Communities.

Kok, K. 2009. The potential of Fuzzy Cognitive Maps for semi-quantitative scenario development, with an example from Brazil. Global Environ. Chang., 19, 122–133.
doi:10.1016/j.gloenvcha.2008.08.003

Kosko, B. 1986. Fuzzy cognitive maps. Int. J. ManMachine Studies, 24, 65–75.
doi:10.1016/S0020-7373(86)80040-2

Kwahk, K.-Y. & Kim, Y.-G. 1999. Supporting business process redesign using cognitive maps. Decision Support Systems, 25, 155–178.
doi:10.1016/S0167-9236(99)00003-2

Ministry of Agriculture. 2008. Estonian Rural Development Plan 2007–2013. http://www.agri.ee/public/juurkataloog/MAK/RDP_2007-2013.pdf (visited 2009-08-07).

Ministry of Environment. 2003. Eesti metsanduse arengukava aastani 2010. Ministry of Environ­ment, Tallinn.

Ministry of Environment. 2008. Põlevkivi kasutamise riiklik arengukava 2008–2015. http://www.envir.ee/orb.aw/class=file/action=preview/id=306730/P%D5KKi+kinnitamine. pdf (visited 2009-08-07).

Ministry of Environment. 2010a. Ida-Eesti vesikonna veemajanduskava. http://www.envir.ee/orb.aw/class= file/action=preview/id=1117261/2010.04.07+Kinnitatud+Ida-Eesti+vesikonna+veemajanduskava.pdf (visited 2010-04-22).

Ministry of Environment. 2010b. Eesti turbaalade kaitse ja säästliku kasutamise kontseptsioon. Draft. http://www.envir.ee/797947 (visited 2010-08-06).

Moss, T. 2004. The governance of land use in river basins: prospects for overcoming problems of institutional interplay with the EU Water Framework Directive. Land Use Policy, 21, 85–94.
doi:10.1016/j.landusepol.2003.10.001

Nõges, P. & Nõges, T. 2006. Indicators and criteria to assess ecological status of the large shallow temperate polymictic lakes Peipsi (Estonia/Russia) and Võrtsjärve (Estonia). Boreal Environ. Res., 11, 67–80.

Peipsi Alamvesikonna Kalurite Liit. 2004. Peipsi kalanduse arengukava 2005–2009. Kasepää http://www.kalaliit.ee/?structure=006001&content=57&SID=rjoclcua (visited 2010-08-06).

Regional Development Department of the Ministry of Internal Affairs. 2005. Regional Development Strategy of Estonia 2005–2015. http://www.siseministeerium.ee/public/ Eesti_regionaalarengu_strateegia_2005_2015_eng_tolge.doc (visited 2009-08-07).

Republic of Estonia. 2010. Keskkonnaministeeriumi arengukava aastateks 2011–2014. http://www.envir.ee/orb.aw/class=file/action=preview/id=1131034/Keskkonnaministeeriumi +arengukava+2011-2014.pdf (visited 2010-08-07).

Riigikogu. 2004. Long-term Public Fuel and Energy Sector Development Plan until 2015. RTI, 23.12.2004, 88, 601.

Roussel, O., Cavelier, A. & Van der Werf, H. M. G. 2000. Adaptation and use of a fuzzy expert system to assess the environmental effect of pesticides applied to field crops. Agr. Ecosyst. Environ., 80, 143–158.
doi:10.1016/S0167-8809(00)00142-0

Schoumans, O. F., Silgram, M., Groenendijk, P., Bouraoui, F., Andersen, H. E., Kronvang, B., Behrendt, H., Arheimer, B., Johnsson, H., Panagopoulos, Y., Mimikou, M., Lo Porto, A., Reisser, H., Le Gall, G., Barr, A. & Anthony, S. G. 2009. Descripton of nine nutrient loss models: capabilities and sustainability based on their characteristics. J. Envir. Monit., 11, 506–514.
doi:10.1039/b823239c

Smeets, E. & Weterings, R. 1999. Environmental Indicators: Typology and Overview. Technical Report No. 25. EEA, Copenhagen.

Strauss, P., Leone, A., Ripa, M. N., Turpin, N., Lescot, J.-M. & Laplana, R. 2007. Using critical source areas for targeting cost-effective best management practices to mitigate phosphorus and sediment transfer at the watershed scale. Soil Use Manage., 23, 144–153.
doi:10.1111/j.1475-2743.2007.00118.x

Streefkerk, N. 2005. A method for incorporating environmental aspects into spatial planning. In Urban Environmental Planning: Policies, Instruments and Methods in an International Perspective (Miller, D. & de Roo, G., eds), pp. 121–144. Ashgate Publishing, Aldershot, Hants.

Tallinna Tehnikaülikool. 2003. Eesti põlevkivimaardla tehnoloogiline, majanduslik ja kesk­konna­kaitseline rajoneerimine. Department of Mining, Tallinn.

Van der Werf, H. M. G. & Zimmer, C. 1998. An indicator of pesticide environmental impact based on a fuzzy expert system. Chemosphere, 36, 2225–2249.
doi:10.1016/S0045-6535(97)10194-1

Younger, P. L. & Wolkersdorfer, Ch. 2004. Mining impacts on the fresh water environment: technical and managerial guidelines for catchment scale management. Mine Water Environ., 23, S2–S80.
doi:10.1007/s10230-004-0028-0

Zacharias, M. A. & Gregr, E. J. 2005. Sensitivity and vulnerability in marine environments: an approach to identifying vulnerable marine areas. Conserv. Biol., 19, 86–97.
doi:10.1111/j.1523-1739.2005.00148.x

Zhang, W. R., Chen, S. S. & Bezdek, J. C. 1989. Pool2: a generic system for cognitive map development and decision analysis. IEEE T. Syst. Man Cyb., 19, 31–39.
doi:10.1109/21.24529
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