Analytic Hierarchy Process for Targeting and Designing Rainwater Harvesting Structures

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dc.contributor.advisorA. K. Mishra
dc.contributor.authorKishor Pandurang Gavhane
dc.date.accessioned2019-11-11T05:42:47Z
dc.date.available2019-11-11T05:42:47Z
dc.date.issued2019
dc.descriptiont-10123en_US
dc.description.abstractThe present study was undertaken in Gambhir River watershed in Bharatpur and Karauli districts of Rajasthan (India). The watershed was located between 26 36′ 0.8″ N to 26 57′ 35″ North latitudes and 77 0′ 2″ E to 77 16′ 54″ E longitudes. Most of the surveyed Rainwater Harvesting Structures (RWHS) in the study area (Check Dams, Anicuts, Khadins and Ponds etc.) were in dilapidated conditions; silted or dried up. The ground water recharge reduced while pumping (draft) steadily increased resulting in to sharp decline of water table requiring creation of new RWHS vis-à-vis repair and maintenance of the existing ones. Objectives of the present study were: (i) estimating surface runoff potential of the watershed using NRCS-CN method and Geospatial techniques; (ii) selection of most appropriate sites for different types of RWHS using Analytic Hierarchy Process (AHP); and (iii) design of different types of Rainwater Harvesting Structures (RWHS). The average depth of surface runoff; estimated based on spatial variability analysis over a period of 11 years (2007-2017), i.e. the runoff potential of the watershed varied from 136 to 321 mm. While the runoff volume was estimated as 149.07 Million m3 with a runoff coefficient of 0.32. Site suitability analysis for construction of different types of RWHS was attempted using RS, GIS, AHP and Boolean logic. Nearly 75.54 km2 (13%) area was found to be very highly suitable whereas, 114.56 km2 (19%) area was highly suitable for construction of RWHS. About 43.77 km2 area was not suitable at all for construction of any type of RWHS. Three types of RWHS including farm pond, check dam and percolation pond were suggested for the given study area based on the criteria. Further, it was found that approximately 55% area in the experimental watershed was highly suitable for construction of farm ponds. About 308.53 km2 (53%) area was highly suitable for constructing percolation ponds. A total number of 15 check dams were proposed for construction at appropriate locations as identified in this study. In the selected microwatershed for detailed planning (MW 36) out of 59 micro-watersheds in the main watershed; about 7 farm ponds, 2 check dams and 1 percolation pond; were identified and mapped. The locations of 3 different types of structures were randomly selected in MW 36 for detailed hydrologic and hydraulic design following the scientific design procedures. The designed dimensions were computed and their drawings finalized corresponding to the designed runoff. The present research work demonstrated that the AHP was one of the most comprehensive decision-making techniques for site selection of different types of RWHS incorporating a large number of suitability criteria. The study has aptly demonstrated that AHP in combination with other techniques like Boolean logic, RS and GIS can be successfully employed for sizing and siting of different types of RWHS. Keywords: Analytic Hierarchy Process (AHP), Rainwater Harvesting Structures (RWHS), Remote Sensing (RS), Geographical Information System (GIS) and Fuzzy Logic.en_US
dc.identifier.urihttp://krishikosh.egranth.ac.in/handle/1/5810135014
dc.keywordsRemote Sensing (RS), Geographical Information System (GIS) and Fuzzy Logic.en_US
dc.language.isoen_USen_US
dc.publisherDIVISION OF AGRICULTURAL ENGINEERING ICAR-INDIAN AGRICULTURAL RESEARCH INSTITUTE NEW DELHIen_US
dc.subAgricultural Engineeringen_US
dc.subjectnullen_US
dc.themeAnalytic Hierarchy Process for Targeting and Designing Rainwater Harvesting Structuresen_US
dc.these.typeM.Tech.en_US
dc.titleAnalytic Hierarchy Process for Targeting and Designing Rainwater Harvesting Structuresen_US
dc.typeThesisen_US
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