Abstract
Potential flood damage (PFD), potential streamflow depletion (PSD), potential water quality deterioration (PWQD), and watershed evaluation index (WEI) have been developed to spatially quantify the hydrological vulnerability using multi-criteria decision making (MCDM) techniques. All criteria are selected on the basis of a sustainability evaluation concept (pressure-state-response model), and their weights are estimated by an Analytic Hierarchy Process, which is also a type of MCDM technique. The MCDM techniques used for the evaluation are composite programming, compromise programming, ELECTRE II, Regime method, and Evamix method; these techniques can be classified according to data availability and objectives (prefeasibility and feasibility). Furthermore, the WEI is improved to reflect the preferences of the residents with regard to management objectives through weights (of PFD, PSD, and PWQD) obtained from questionaires of residents. Finally, this study derives a procedure to identify the spatial investment prioritization using four indices.
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References
Bailey RG (1984) Testing an ecosystem regionalization. J Environ Manag 19:239–248
Bardossy A, Bogardi I (1983) Network design for the spatial estimation of environmental variables. Appl Math Comput 12:339–369. doi:10.1016/0096-3003(83)90046-2
Belton V, Stewart TJ (2003) Multiple criteria decision analysis: an integrated approach. Springer, New York
Edwards C, Miller M (2001) PLOAD Version 3.0 User’s Manual. USEPA, Washington DC
Gibbons JD (1971) Nonparametric statistical inference. McGraw-Hill, New York
Goicoechea A, Hansen DR, Duckstein L (1982) Multiobjective decision analysis with engineering and business application. John Wiley and Sons, New York
Hartmann L, Torno C, Bogardi I, Higler L (1987) Methodological guidelines for the integrated environmental evaluation of water resources development. Unep/Unesco Project FP/5201-85-01, Paris
He C, Malcolm SB, Dahlberg KA, Fu B (2000) A conceptual framework for integrating hydrological and biological indicators into watershed management. Landsc Urban Plan 49:25–34. doi:10.1016/S0169-2046(00)00047-5
Hinloopen E, Nijkamp P (1990) Qualitative multiple criteria choice analysis, the dominant regime method. Qual Quant 24:37–56. doi:10.1007/BF00221383
Hobbs BF, Chankong V, Hamadeh W, Stakhiv EZ (1992) Does choice of multicriteria method matter? An experiment in water resources planning. Water Resour Res 28:1767–1779. doi:10.1029/92WR00712
Janssen R (1992) Multiobjective decision support for environmental management. Kluwer Academic Publisher, Dordrecht
Karr JR, Fausch KD, Angermeier PL, Yant PR, Schiosser IJ (1986) Assessing biological integrity in running waters: a method and its rationale. Natural History Survey Special Publication 5
Kelly JR, Harwell MA (1990) Indicators of ecosystem recovery. Environ Manage 14(5):527–545. doi:10.1007/BF02394708
Kottegoda NT, Rosso R (1997) Statistics, probability, and reliability for civil and environmental engineers. McGraw-Hill, Singapore
KOWACO (Korea Water Resources Corporation) (2007). Groundwater survey. Ministry of Construction and Transportation of Korea, KOWACO, Daejeon (in Korean)
Larichev OI, Moshkovich HM (1995) ZAPROS-LM: a method and system for ordering multiattribute alternatives. Eur J Oper Res 82:503–521. doi:10.1016/0377-2217(93)E0143-L
Lee KS, Chung ES (2007) Development of integrated watershed management schemes for an intensively urbanized region in Korea. J Hydro-Environ Res 1(2):95–109
Manoliadis OG (2001) Environmental indices in irrigation management. Environ Manage 28(4):497–504. doi:10.1007/s002670010239
McDaniels TL, Gregory RS, Fields D (1999) Democratizing risk management: successful public involvement in local water management decisions. Risk Anal 19:497–510
Messer JJ, Linthurst RA, Overton WS (1991) An EPA program for monitoring edological status and trends. Environ Monit Assess 17:67–78. doi:10.1007/BF00402462
Naiman RJ, Magnuson JJ, McKnight DM, Stanford JA (eds) (1995) The freshwater imperative: a research agenda. Island Press, Washington DC
Nijkamp P, Rietveld P, Voogd H (1990) Multicriteria evaluation in physical planning. North-Holland, Amsterdam
OECD (1993) OECD core set of indicators for environmental performance reviews. OECD Environment Monographs 83. OECD, Paris
OECD (1998) Towards sustainable development: environmental indicators. OECD, Paris
Omernik JM (1995) Ecoregions: a framework for managing ecosystems. George Wright Forum 12(1):35–50
Raju KS, Duckstein L (2004) Integrated application of cluster and multicriterion analysis for ranking water resources planning strategies: a case study in Spain. J Hydroinformatics 6:295–307
Roy B, Vincke P (1981) Multicriteria analysis: survey and new directions. Eur J Oper Res 8(3):207–218. doi:10.1016/0377-2217(81)90168-5
Roy B, Slowinski R, Treichel W (1992) Multicriteria programming of water supply systems for rural areas. Water Resour Bull 28:129–140
Saaty TL (1980) The analytic hierarchy process. McGraw-Hill, New York
Tecle A, Fogel M, Duckstein L (1988) Mulitcriterion selection of wastewater management alternatives. J Water Resour Plan Manage 114:383–398
UNCSD (United Nations Commission on Sustainable Development) (2001) Indicators of sustainable development: framework and methodologies commission on sustainable development. Ninth Session, 16–27 April 2001, Background Paper No. 3, New York, UN
US Environmental Protection Agency (1996) Environmental indicators of water quality in the United States. EPA 841-R-96-002
US Environmental Protection Agency (1997) The Index of Watershed Indicators. EPA 841-R-97-010
Voogd H (1982) Multicriteria evaluation with mixed qualitative and quantitative data. Environ Plann B 9:221–236. doi:10.1068/b090221
Voogd H (1983) Multicriteria evaluation for urban and regional planning. Pion, London
Yurdusev MA, O’Connel PE (2005) Environmentally-sensitive water resources planning: 1. Methodology. Water Resour Manage 19:375–397. doi:10.1007/s11269-005-7999-x
Zeleny M (1973) Compromising programming. In: Starr MK, Zeleny M (eds) Multiple criteria decision making. University South Carolina Press, Columbia
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Chung, ES., Lee, K.S. Identification of Spatial Ranking of Hydrological Vulnerability Using Multi-Criteria Decision Making Techniques: Case Study of Korea. Water Resour Manage 23, 2395–2416 (2009). https://doi.org/10.1007/s11269-008-9387-9
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DOI: https://doi.org/10.1007/s11269-008-9387-9