Multicriteria Decision Support System for Regionalization of Integrated Water Resources Management

作者: Ana Carolina Coelho , John W. Labadie , Darrell G. Fontane

DOI: 10.1007/S11269-011-9961-4

关键词: Water resourcesFuzzy setSpatial analysisDecision support systemOperations researchGeographic information systemSI base unitComputer scienceCluster analysisIntegrated water resources managementData mining

摘要: Successful implementation of integrated water resources planning and management (IWRM) requires delineation regions that are relatively homogeneous with respect to multiple criteria, including hydrographic, physical-environmental, socioeconomic, political-administrative aspects. The (WARPLAM) DSS is presented as tool for regionalization in support IWRM through: (1) GIS processing spatial data related criteria defining the homogeneity clustered base units (e.g., catchments) criteria; (2) application fuzzy set theory development composite measures over all alternative clustering adjacent units; (3) a modified dynamic programming algorithm guarantees consistent optimal solutions based on user preferences relative importance suite considered regionalization. viability WARPLAM regional demonstrated through case study Tocantins-Araguaia River Basin, second largest Brazil.

参考文章(13)
Mark Wiering, Joris Verwijmeren, Kris Lulofs, Christian Feld, Experiences in Regional Cross Border Co-operation in River Management. Comparing Three Cases at the Dutch–German Border Water Resources Management. ,vol. 24, pp. 2647- 2672 ,(2010) , 10.1007/S11269-009-9572-5
Richard Bellman, A note on cluster analysis and dynamic programming Bellman Prize in Mathematical Biosciences. ,vol. 18, pp. 311- 312 ,(1973) , 10.1016/0025-5564(73)90007-2
Augustine O. Esogbue, Optimal clustering of fuzzy data via fuzzy dynamic programming Fuzzy Sets and Systems. ,vol. 18, pp. 283- 298 ,(1986) , 10.1016/0165-0114(86)90007-2
E. Mostert, M. Craps, C. Pahl-Wostl, Social learning: the key to integrated water resources management? Water International. ,vol. 33, pp. 293- 304 ,(2008) , 10.1080/02508060802275757
Jan-Henrik Haunert, Alexander Wolff, Area aggregation in map generalisation by mixed-integer programming International Journal of Geographical Information Science. ,vol. 24, pp. 1871- 1897 ,(2010) , 10.1080/13658810903401008
Ujjwal Maulik, Sanghamitra Bandyopadhyay, Genetic algorithm-based clustering technique Pattern Recognition. ,vol. 33, pp. 1455- 1465 ,(2000) , 10.1016/S0031-3203(99)00137-5
Brian S. Everitt, Sabine Landau, Morven Leese, Cluster Analysis ,(1974)
Peter J. Rousseeuw, Leonard Kaufman, Finding Groups in Data: An Introduction to Cluster Analysis ,(1990)