Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/10086
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dc.coverage.spatialCivil Engineeringen_US
dc.date.accessioned2013-07-25T06:06:28Z-
dc.date.available2013-07-25T06:06:28Z-
dc.date.issued2013-07-25-
dc.identifier.urihttp://hdl.handle.net/10603/10086-
dc.description.abstractDrought is a disastrous natural phenomenon and is generally viewed as a sustained and regionally extensive occurrence of below average natural water availability either in the form of rainfall, river runoff or groundwater. Existing methods consider only a few factors which are not effective for drought mitigation programmes. The specific objectives are (i) to assess meteorological and agricultural droughts using rainfall and remote sensing data; and (ii) to carry out an integrated drought severity assessment using Analytic Hierarchy Process (AHP) and GIS. Palar Sub basin encompassing Vellore, located in the North-East part of Tamil Nadu State, India, was selected to test the methodology. Paddy is the main crop in the study area and is cultivated in three seasons namely, Sornawari, Samba and Navarai. Thirty five years of monthly rainfall data during 1971 to 2005 were analysed for variation in space and time. The results of IMD method over a period of time will not lead to an overall idea of drought proneness in any area as it gives a mixed bag of different severities of drought. Hence, a frequency based Meteorological Drought Severity Index (MDSI) was formulated and applied. The drought severity values were used to generate drought severity map in GIS environment. The agricultural drought severity assessment was carried out by developing an Agricultural Drought Severity Index (ADSI), which involves crop land and fallow land estimation that were delineated from remote sensing data using NDVI analysis. Integrated Drought Severity Index (IDSI) was developed in GIS environment by combining various parameters affecting drought comprising of spatial and non-spatial data. In this study, a drought assessment procedure which will take into account of all the drought causing factors, is attempted and demonstrated. This might be due to the lack of proper drought assessment procedures which would truly reflect the field situation of drought of an area. This thesis addresses that problem.en_US
dc.format.extentxix, 156p.en_US
dc.languageEnglishen_US
dc.relationNo. of references 105en_US
dc.rightsuniversityen_US
dc.titleMulti criteria analysis for drought assessment using remote sensing and GISen_US
dc.creator.researcherMurali Krishna Ten_US
dc.subject.keywordMeteorological Drought Severity Indexen_US
dc.subject.keywordRemote sensing-
dc.subject.keywordDrought assessment-
dc.subject.keywordAgricultural Drought Severity Index-
dc.subject.keywordIntegrated Drought Severity Index-
dc.description.noteReferences p. 146-164, List of publication p. 155en_US
dc.contributor.guideRavikumar Gen_US
dc.publisher.placeChennaien_US
dc.publisher.universityAnna Universityen_US
dc.publisher.institutionFaculty of Civil Engineeringen_US
dc.date.registeredn.d.en_US
dc.date.completed01/12/2010en_US
dc.date.awarded2011en_US
dc.format.dimensions23.5 cm x 15 cmen_US
dc.format.accompanyingmaterialNoneen_US
dc.source.universityUniversityen_US
dc.type.degreePh.D.en_US
Appears in Departments:Faculty of Civil Engineering

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02_certificates.pdf787.12 kBAdobe PDFView/Open
03_abstract.pdf16.6 kBAdobe PDFView/Open
04_acknowledgement.pdf15.49 kBAdobe PDFView/Open
05_contents.pdf48.78 kBAdobe PDFView/Open
06_chapter 1.pdf56.08 kBAdobe PDFView/Open
07_chapter 2.pdf98.15 kBAdobe PDFView/Open
08_chapter 3.pdf872.2 kBAdobe PDFView/Open
09_chapter 4.pdf101.11 kBAdobe PDFView/Open
10_chapter 5.pdf878.56 kBAdobe PDFView/Open
11_chapter 6.pdf1.78 MBAdobe PDFView/Open
12_chapter 7.pdf28.89 kBAdobe PDFView/Open
13_references.pdf37.21 kBAdobe PDFView/Open
14_publications.pdf14.67 kBAdobe PDFView/Open
15_vitae.pdf12.43 kBAdobe PDFView/Open


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