Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/555688
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dc.coverage.spatial
dc.date.accessioned2024-03-29T12:03:20Z-
dc.date.available2024-03-29T12:03:20Z-
dc.identifier.urihttp://hdl.handle.net/10603/555688-
dc.description.abstractWatershed hydrology and soil erosion are the environmental components that are greatly affected by climate and environmental perturbations. Land use change is the main factor influencing watershed hydrology and could serve for developing better watershed management practices. An approach of empirical and hydrological modelling was used to examine the impacts of LULC and climate change scenarios on hydrology and sediment in Bhavani watershed, Tamil Nadu, India. The CA-ANN model (MOLUSCE module), which integrates artificial neural networks and cellular automata, was used for simulating and predicting changes in LULC using different spatial variables such as DEM, slope, aspect, distance from roads, and distance from built-up areas. The use of morphometry, land use, and slope coupled with the multicriteria analytical (MCA) framework was adopted to estimate the soil erosion susceptibility of the sub watersheds using remote sensing and geographical information system techniques. Further, the hydrological modelling using SWAT (Soil Water Assessment Tool) was used to examine the impacts of LULC and climate change scenarios on the hydrology of the watersheds newline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleAssessment of Soil Erosion and Water Balance Responses to Future Land Use Land Cover and Climate Scenarios
dc.title.alternative
dc.creator.researcherManikandan, K
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Civil
dc.description.note
dc.contributor.guideSathyanathan, R
dc.publisher.placeKattankulathur
dc.publisher.universitySRM Institute of Science and Technology
dc.publisher.institutionDepartment of Civil Engineering
dc.date.registered
dc.date.completed2023
dc.date.awarded2023
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Civil Engineering

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01_title.pdfAttached File168.41 kBAdobe PDFView/Open
02_preliminary page.pdf551.9 kBAdobe PDFView/Open
03_content.pdf393.92 kBAdobe PDFView/Open
04_abstract.pdf242.19 kBAdobe PDFView/Open
05_chapter 1.pdf638.55 kBAdobe PDFView/Open
06_chapter 2.pdf360.12 kBAdobe PDFView/Open
07_chapter 3.pdf1.13 MBAdobe PDFView/Open
08_chapter 4.pdf522.51 kBAdobe PDFView/Open
09_chapter 5.pdf663.6 kBAdobe PDFView/Open
10_chapter 6.pdf876 kBAdobe PDFView/Open
11_chapter 7.pdf1.82 MBAdobe PDFView/Open
12_chapter 8.pdf318.09 kBAdobe PDFView/Open
13_chapter 9.pdf293.76 kBAdobe PDFView/Open
14_annexures.pdf364.14 kBAdobe PDFView/Open
80_recommendation.pdf328.76 kBAdobe PDFView/Open


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