Impact of sea level rise and shoreline changes in the tropical island ecosystem of Andaman and Nicobar region, India

Abstract. Sandy shorelines are dynamic with constant changes that can cause hazards in developed areas. The causes of change may be either natural or anthropogenic. This paper evaluates evidence for shoreline changes and their causative factors using a case study on the east coast of South Africa. Beach morphology trends were found to be location-specific, but overall the beaches show a receding trend. It was hypothesized that wave, tide, sea level and wind trends as well as anthropogenic influences are causative factors, and their contributions to shoreline changes were evaluated. Maximum significant wave heights, average wave direction, peak period and storm event frequencies all show weak increasing trends, but only the increases in peak period and wave direction are statistically significant. The chronic beach erosion cannot be attributed to wave climate changes since they are still too small to explain the observations. Instead, the impacts of sea level rise and reductions in the supply of beach sediments are suggested as the main causative factors. The analysis also identifies a trend in the frequency of severe erosion events due to storms that coincide with a 4.5-yr extreme tide cycle, which demonstrates the potential impact of future sea level rise.

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Shoreline changes in response to sea level rise along Digha Coast, Eastern India: an analytical approach of remote sensing, GIS and statistical techniques

Journal of Coastal Conservation ◽

10.1007/s11852-013-0297-5 ◽

2013 ◽

Vol 18 (3) ◽

pp. 145-155 ◽

Cited By ~ 22

Author(s):

Adarsa Jana ◽

Arkoprovo Biswas ◽

Sabyasachi Maiti ◽

Amit K. Bhattacharya

Keyword(s):

Remote Sensing ◽

Sea Level Rise ◽

Sea Level ◽

Analytical Approach ◽

Statistical Techniques ◽

Eastern India ◽

Shoreline Changes

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Impact of sea level rise and shoreline changes in the tropical island ecosystem of Andaman and Nicobar region, India

10.21203/rs.3.rs-245124/v1 ◽

2021 ◽

Author(s):

mageswaran thangaraj ◽

Sachithanandam V ◽

Sridhar R ◽

Manik Mahapatra ◽

R Purvaja ◽

...

Keyword(s):

Remote Sensing ◽

Sea Level Rise ◽

Sea Level ◽

Remote Sensing Data ◽

Data Sets ◽

Andaman Island ◽

Shoreline Changes ◽

Digital Elevation ◽

Analysis System ◽

Elevation Model

Abstract We report here a four decades of shoreline changes and possible sea level rise (SLR) impact on landuse/landcover (LULC) in Little Andaman Island by using remote sensing (RS) and GIS techniques. A total of six remote sensing data sets covering years between 1976 and 2018 were used to understand the shoreline changes. Moreover, a Digital Shoreline Analysis System (DSAS) was used to estimate short- and long- term shoreline changes from ArcGIS environment. Besides, the Island vulnerability due to SLR was studied through using digital elevation model (DEM). As a result of Sumatra earthquake (2004), the results were showed a significant variation in shorline upliftment and subsidence. The land subsidence was noticed in the range of 1042-3077 ha with sea level rise between 1 and 5 m. Hence, we conclude that Little Andaman Island is vulnerable to SLR and overwhelm low elvation coastal zone.

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Beach nourishment versus sea level rise on Florida’s coasts

Shore & Beach ◽

10.34237/1008821 ◽

2020 ◽

pp. 3-13

Author(s):

James Houston

Keyword(s):

Sea Level Rise ◽

Sea Level ◽

East Coast ◽

Beach Nourishment ◽

Shoreline Change ◽

Intergovernmental Panel ◽

Shoreline Changes ◽

The Past ◽

Equilibrium Profile ◽

And Sea Level

Beach nourishment and sea level rise will dominate future shoreline changes on Florida’s 665 miles of sandy coast. Shoreline changes from 2020-2100 are projected along this entire coast using equilibrium profile theory that accurately predicted shoreline changes on Florida’s east coast from 1970-2017 (Houston 2019). Projections for 2020- 2100 are made assuming past rates of beach nourishment for the 30-yr period from 1988-2017 will continue and sea level will rise according to recent projections of the Intergovernmental Panel on Climate Change (IPCC) that include the latest knowledge on ice melting in Antarctica (IPCC 2019). Using the beach nourishment and sea level rise data, equilibrium profile theory is then used to predict shoreline change from 2020-2100 for each IPCC sea level rise projection. Beach nourishment is shown to produce shoreline advance seaward on average for all IPCC scenarios for both the entire Florida coast and east coast and for all scenarios except the upper confidence level of the worst scenario for the southwest and Panhandle coasts. Some of the 30 counties on these coasts will require a greater rate of nourishment than in the past to offset sea level rise for some or all of the scenarios, whereas some will offset sea level rise for all scenarios with lower nourishment rates than in the past. The annual beach nourishment volume for which a county has a shortfall or surplus in offsetting sea level rise for each IPCC scenario can be calculated with the information provided and examples are presented. The approach can be used on coasts outside Florida if beach nourishment and sea level rise are expected to dominate future shoreline change.

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On the significance of incorporating shoreline changes for evaluating coastal hydrodynamics under sea level rise scenarios

Natural Hazards ◽

10.1007/s11069-014-1386-y ◽

2014 ◽

Vol 75 (2) ◽

pp. 1599-1617 ◽

Cited By ~ 32

Author(s):

Davina L. Passeri ◽

Scott C. Hagen ◽

Matthew V. Bilskie ◽

Stephen C. Medeiros

Keyword(s):

Sea Level Rise ◽

Sea Level ◽

Shoreline Changes ◽

Coastal Hydrodynamics

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Monitoring and predicting the shoreline change in Can Gio area in condition of the sea level rise

Science and Technology Development Journal ◽

10.32508/stdj.v17i3.1475 ◽

2014 ◽

Vol 17 (3) ◽

pp. 45-53

Author(s):

Vinh Trong Bui ◽

Tin Trung Huynh ◽

Trinh Nguyen Doan Le ◽

Hoang Minh Ly ◽

Phong Thanh Le ◽

...

Keyword(s):

Sea Level Rise ◽

Sea Level ◽

Satellite Image ◽

River Mouth ◽

Shoreline Change ◽

Beach Erosion ◽

Surface Erosion ◽

Coastal Morphology ◽

Shoreline Changes ◽

Seasonal Movement

Locating on the domestic and international navigation routes (Long Tau-Tac Dinh Cau route, Soai Rap route) the Can Gio area is impacted by waterway traffic activities. The seasonal movement of sand bars on the Can Gio is significantly impacted by hydrodynamic of the river mouth. With the important roles of the area, the authors consider the coastal morphology processes under the hydrodynamic. In this paper, the authors has inherited previous studies combined the satellite image analysis to detect the shoreline changes from 1973 to 2013. Besides, numerical modeling was also applied to predict the shoreline changes under impacts of the sea level rise. Results show that, the Can Gio shoreline prolonging from Can Thanh to Dong Hoa is seriously eroded, with average of 7-10 m/year, maximum to 15 m/year. It is found that, beach erosion at Can Gio is a kind of surface erosion impacted by human trigger (shrimp ponds, beach encroachment…). In addition, natural factors (wave, long-shore current, littoral materials) also contribute to increase the erosion rate. Predicted results with sea level rise scenarios show that, the Dong Hoa and Can Thanh will be seriously eroded while the 30-4 beach will be annually deposited.

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