Faculty Publications

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Author: search.filters.author.Subbarayan, S.Subject: search.filters.subject.Shoreline change

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    Monitoring Spatial and Temporal Scales of Shoreline Changes in the Cuddalore Region, India
    (Elsevier, 2018) Subbarayan, S.; Kulithalai Shiyam Sundar, K.S.S.; Vishnuprasath, S.R.
    Coastal zones are constantly undergoing changes in shape and environment due to natural processes and anthropogenic interventions. The study of shoreline change has become a matter of great concern in recent years. The measurement of shorelines is a key factor in coastal zone construction. A shoreline change study was carried out for a 33-km stretch of the Cuddalore coast between Gadilam and the Vellar River. Satellite images (2000, 2005, 2010, and 2015) were taken as an input dataset in a GIS platform. Automatic shoreline delineation was attempted by a masking technique using ENVI software. In this study, the modification of normalized difference water index (MNDWI) method extracted the raster shoreline-based contrast value of coastal pixels and thresholding techniques for segmenting water and land regions. DSAS software and reference digitized shoreline boundary data were used for the analysis of shoreline changes. End point rate (EPR) and net shoreline movement determination showed the northern part of the Uppanar River mouth under erosion (region A to C and E) and sediment deposition at an accretion rate of 7.6. m/year from EPR and 114. m from NSM. The maximum shoreline erosion rate was -. 3.8. m/year from EPR and -. 57. m from NSM. From these attempts and results, a methodical approach for detection and monitoring of shoreline changes on spatial and temporal scales of interest have been suggested. © 2019 Elsevier Inc. All rights reserved.
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    Monitoring Spatial and Temporal Scales of Shoreline Changes in the Cuddalore Region, India
    (Elsevier, 2019) Subbarayan, S.; Kulithalai Shiyam Sundar, K.S.S.; Vishnuprasath, S.R.
    Coastal zones are constantly undergoing changes in shape and environment due to natural processes and anthropogenic interventions. The study of shoreline change has become a matter of great concern in recent years. The measurement of shorelines is a key factor in coastal zone construction. A shoreline change study was carried out for a 33-km stretch of the Cuddalore coast between Gadilam and the Vellar River. Satellite images (2000, 2005, 2010, and 2015) were taken as an input dataset in a GIS platform. Automatic shoreline delineation was attempted by a masking technique using ENVI software. In this study, the modification of normalized difference water index (MNDWI) method extracted the raster shoreline-based contrast value of coastal pixels and thresholding techniques for segmenting water and land regions. DSAS software and reference digitized shoreline boundary data were used for the analysis of shoreline changes. End point rate (EPR) and net shoreline movement determination showed the northern part of the Uppanar River mouth under erosion (region A to C and E) and sediment deposition at an accretion rate of 7.6m/year from EPR and 114m from NSM. The maximum shoreline erosion rate was −3.8m/year from EPR and −57m from NSM. From these attempts and results, a methodical approach for detection and monitoring of shoreline changes on spatial and temporal scales of interest have been suggested. © 2019 Elsevier Inc. All rights reserved.
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    Assessment of potentially vulnerable zones using geospatial approach along the coast of Cuddalore district, East coast of India
    (Taylor and Francis Ltd., 2022) Kulithalai Shiyam Sundar, K.S.S.; Subbarayan, S.; Deka, P.C.; Devanantham, A.
    Coastal zones constantly undergo rapid changes in shape, morphology, and the environment due to natural as well as human development activities. Thus, assessing the vulnerability of the coast has become an important matter of concern. The study area is about 33 km of coastal zone from the Gaddilam to the Vellar River of Cuddalore districts in Tamil Nadu, India. This region was affected during the 2004 tsunami that took place in the Indian Ocean and also influenced by many cyclones in the Bay of Bengal. The methodology is about preparing various thematic layers such as shoreline change, elevation data, coastal slope, bathymetry, mean tidal range, maximum surge, beach width, geomorphology, and sea-level rise. Rank and weights are assigned to these parameters using the Index Overlay method in Geographic Information System environment. Vulnerability zones of different magnitudes such as very high, high, moderate, low, and very low were classified. From the study it is found about 15% of the coast is under very high vulnerability, 10.2% of the study lies under high vulnerability, 35.4% of the study lies under the moderately vulnerable region, 24% and 15.4% of the area lies under low and very low vulnerable region, respectively. © 2020 Indian Society for Hydraulics.