Shoreline Change Analysis along the Coast of South Gujarat, India, Using Digital Shoreline Analysis System

Mahapatra, Manik; Ratheesh, R.; Rajawat, A. S.

doi:10.1007/s12524-013-0334-8

Cited by 78 publications

(26 citation statements)

References 10 publications

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“…Furthermore, the X i values used in Equation (5) are not objectively weighted by means of any AHP procedure. Therefore, a second formulation has been investigated [32,57], directly combining both PVI Equation (3) and SVI Equation (4) to compute:…”

Section: Resultsmentioning

confidence: 99%

“…Most populated areas have increased economic value because people tend to protect their properties, especially from erosion [55,56]. On the contrary, areas where few people live may not experience the same attention on the coastal environment or have the same resources for protection [57]. Moreover, a greater number of resident people generally implies more residential or industrial building interventions, with consequent environmental impacts on the coast.…”

Section: Populationmentioning

confidence: 99%

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How to Define Priorities in Coastal Vulnerability Assessment

et al. 2018

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Awareness of coastal landscapes vulnerability to both natural and man-made hazards induce to monitor their evolution, adaptation, resilience and to develop appropriate defence strategies. The necessity to transform the monitoring results into useful information is the motivation of the present paper. Usually, to this scope, a coastal vulnerability index is deduced, by assigning ranking values to the different parameters governing the coastal processes. The principal limitation of this procedure is the individual discretion used in ranking. Moreover, physical parameters are generally considered, omitting socio-economic factors. The aim of the present study is to complement a geographical information system (GIS) with an analytical hierarchical process (AHP), thus allowing an objective prioritization of the key parameters. Furthermore, in the present case, socio-economic parameters have been added to physical ones. Employing them jointly, an integrated coastal vulnerability index (ICVI) has been estimated and its effectiveness has been investigated. To show how it works, the proposed method has been applied to a portion of the Adriatic coastline, along the Apulian region in southern Italy. It has permitted to identify and prioritize the most vulnerable areas, revealing its efficacy as a potential tool to support coastal planning and management.

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Section: Resultsmentioning

confidence: 99%

Section: Populationmentioning

confidence: 99%

How to Define Priorities in Coastal Vulnerability Assessment

et al. 2018

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“…This could further lead to adverse effects on the coastline, as can be seen in the form of reduction in sandy features and increase in barren land. The region is reportedly transforming to an industrial urbandominated landscape, and human activity has increased significantly (Mahapatra et al 2014). The study also emphasizes on a remarkable decrease in the shoreline (sandy feature class) along these three districts, which requires immediate attention.…”

Section: Valsadmentioning

confidence: 90%

“…Accretion is observed north of Hazira port which can be associated to the strong tidal currents and large load of sediments brought through the major rivers (Gupta Udwada. An analysis of the significant wave height (SWH) and the tidal data along this region reports an increase in the tidal height and SWH from the northern side of Hazira to the southern side near Umergaon (Mahapatra et al 2014). Hence, the erosion/accretion trends observed along this coastline can be predominantly due to the combined action of waves and tides, which is responsible in making the shoreline susceptible to changes.…”

Section: Shoreline Change Studiesmentioning

confidence: 98%

“…This makes protection of coasts very difficult in this area. Also, human alteration of the shoreline and the coastal processes by virtue of construction of sea walls, groynes, breakwaters, and jetties results in physical alteration to the shoreline by modifying the sediment dynamics of the region (Gupta 2014;Mahapatra et al 2014). A decrease in the sediment flux leading to shoreline erosion may also be due to the construction of check dams and reservoirs (Gupta and Chakrapani 2005) on the rivers which supplies sediment to the GOC.…”

Section: Shoreline Change Studiesmentioning

confidence: 99%

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Decadal changes in the land use/land cover and shoreline along the coastal districts of southern Gujarat, India

Misra

Balaji

2015

Environ Monit Assess

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The coastal zone along the districts of Surat, Navsari, and Valsad in southern Gujarat, India, is reported to be facing serious environmental challenges in the form of shoreline erosion, wetland loss, and man-made encroachments. This study assesses the decadal land use/ land cover (LULC) changes in these three districts for the years 1990, 2001, and 2014 using satellite datasets of Landsat TM, ETM, and OLI. The LULC changes are identified by using band ratios as a pre-classification step, followed by implementation of hybrid classification (a combination of supervised and unsupervised classification). An accuracy assessment is carried out for each dataset, and the overall accuracy ranges from 90 to 95%. It is observed that the spatial extents of aquaculture, urban built-up, and barren classes have appreciated over time, whereas the coverage of mudflats has depreciated due to rapid urbanization. The changes in the shoreline of these districts have also been analyzed for the same years, and significant changes are found in the form of shoreline erosion. The LULC maps prepared as well as the shoreline change analysis done for this study area will enable the local decision makers to adopt better land-use planning and shoreline protection measures, which will further aid in sustainable future developments in this region.

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Assessment of the Nile Delta’s Coastline Dynamics: A Remote Sensing and GIS-Based Computational Approach

Darwish

2023

Hazard Modeling and Assessment of the Nile Delta Coast

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Shoreline Change Analysis along the Coast of South Gujarat, India, Using Digital Shoreline Analysis System

Cited by 78 publications

References 10 publications

How to Define Priorities in Coastal Vulnerability Assessment

How to Define Priorities in Coastal Vulnerability Assessment

Decadal changes in the land use/land cover and shoreline along the coastal districts of southern Gujarat, India

Assessment of the Nile Delta’s Coastline Dynamics: A Remote Sensing and GIS-Based Computational Approach

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