Multi Criteria Decision Analysis (MCDA) for Watershed Prioritization

作者: R.K. Jaiswal , N.C. Ghosh , R.V. Galkate , T. Thomas

DOI: 10.1016/J.AQPRO.2015.02.201

关键词: Soil retrogression and degradationWatershed managementWatershedDrainage densityAnalytic hierarchy processSoil conservationHydrologyCatchment areaUniversal Soil Loss EquationGeography

摘要: Abstract River/stream's catchment area, which is the source of endowment for water resource projects, generally developed without giving much emphasis on protection against soil's erosion from that results into loss beneficial storage, breach banks, nutrients and many other environmental problems. The prioritization sub-watersheds, are atmost important in developing area treatment (CAT) plan identification priority sub-watersheds utmost any watershed management activities can help take necessary precautionary measures a-priori. paper presents application Saaty's AHP based Multi criteria decision analysis (MCDA) prioritizing vulnerable watershed. analytical hierarchical process MCDA a powerful tool analyzes problems depend number spatially distributed complex criteria. In present case, has been applied to Kodar reservoir (in Chhattisgarh state India) using nine hazard parameters (EHPs), vary climate, topography, soil, geomorphology, conservation practices. For areas, divided 67 analyzed EHPs responsible soil degradation GIS environment revised universal equation (RUSLE) model ( SL ), sediment yield SY production rate SPR transport index STI slope Slp drainage density D d channel frequency C f form factor R circulatory ratio c ). To prepare maps, remote sensing data, topographic information field knowledge have used. normalized values corresponding weights obtained used prioritize sub-watersheds. showed, (SL) occupied maximum weight 0.33 had minimum 0.02 at 9.3% consistency (within 10% limit). priorities ranged between 0.12 0.74. 0.74 SW-44 SW-41 respectively be considered as top prioritized measures. could an implementable CAT catchment. also demonstrates procedure analyzing use those zones/areas.

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