Effect of climate change on shoreline shifts at a straight and continuous coast

Rajasree, Bharathan Radhamma; Deo, M. C.; Nair, L. Sheela

doi:10.1016/j.ecss.2016.10.034

Cited by 34 publications

(17 citation statements)

References 24 publications

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“…The historical period ranged from 1979 to 2017 and the future one from 2017 to 2052. This study goes beyond an earlier work of authors (Rajasree, Deo, & Sheela, ) that dealt with a simple and straight shoreline as against the present complex and naturally interrupted one.…”

Section: Introductionmentioning

confidence: 86%

Evaluation of estuary shoreline shift in response to climate change: A study from the central west coast of India

Rajasree

Deo

2018

Land Degrad Dev

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The prediction of coastal sediment transport and rate of change of shorelines into the future are traditionally done by analysis of historical satellite imageries and field observations or by empirical/numerical modeling. The modeling is traditionally done on the basis of historical data. Instead, here, we suggest the use of future conditions impacted by the climate change for this purpose and a procedure based on regional climate models. Further, considering the difficulty at some places to acquire a large amount of data of various parameters to run a numerical model, we propose the use of simple neural network as an alternative. The location studied belongs to the shoreline adjoining the estuary of River Gangavali, along the central west coast of India. Waves were simulated using a numerical wave model for past and future time periods of 36 years each, and a numerical coastal evolution model was run with this input. It was found that in future, the wave activity at this site would intensify along with certain shift in the direction of wave attack. This will push the net and gross sediment transports up by 131.7% and 114.3%, respectively, and also enhance the shoreline change rate. It was noticed that the future shifts in the wave direction could be as influential as those in the wave height and can cause more accretion of the shoreline. The study emphasizes the importance of considering the projected climate over the past one in planning a regional coastal ecosystem.

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Section: Introductionmentioning

confidence: 86%

Evaluation of estuary shoreline shift in response to climate change: A study from the central west coast of India

Rajasree

Deo

2018

Land Degrad Dev

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“…Where, Et = Total uncertainty value, Es = seasonal errors, Etd = tidal fluctuations, Ed = digitizing error, Ep = pixel error and Er = rectification error .Total uncertainty (Et) of 4 years are 16.83, 9.57, 10.46 and 7.5 ( Table 3). The uncertainty of shoreline change rate at individual transects (U) has been calculated using equation 4 (Hapke et al 2010;Rajasree, Deo, and Sheela Nair et al 2016).…”

Section: Uncertainties and Errorsmentioning

confidence: 99%

Analysis of shoreline changes in Vishakhapatnam coastal tract of Andhra Pradesh, India: an application of digital shoreline analysis system (DSAS)

Baig

Ahmad

Shahfahad³

et al. 2020

Annals of GIS

103

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Coastline or Shoreline calculation is one of the important factors in the finding of coastal accretion and erosion and the study of coastal morphodynamic. Coastal erosion is a tentative hazard for communities especially in coastal areas as it is extremely susceptible to increasing coastal disasters. The study has been conducted along the coast of Vishakhapatnam district, Andhra Pradesh, India with the help of multi-temporal satellite images of 1991 2001, 2011 and 2018. The continuing coastal erosion and accretion rates have been calculated using the Digital Shoreline Analysis System (DSAS). Linear regression rate (LRR), End Point Rate (EPR) and Weighted Linear Regression (WLR) are used for calculating shoreline change rate. Based on calculations the district shoreline has been classified into five categories as high and low erosion, no change and high and low accretion. Out of 135 km, high erosion occupied 5.8 km of coast followed by moderate or low erosion 46.2 km. Almost 34.7 km coastal length showed little or no change. Moderate accretion is found along 30.5 km whereas high accretion trend found around 17.8 km. The outcome of shows that erosion is prevailing in Vishakhapatnam taluk, Ankapalli taluk, Yellamanchili taluk whereas most of the Bhemunipatnam coast is accreting. Natural and manmade activities and phenomena influence the coastal areas in terms of erosion and accretion. The study could be used for further planning and development and also for disaster management authority in the decision-making process in the study area.

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“…Toward this we have considered there different types of shorelines, namely (a) an uninterrupted coastal stretch, (b) the coast interrupted by an artificial structure and (c) the coast interrupted by natural features. This study goes beyond an earlier one (Rajasree et al, 2016) in which only case (a) was discussed and where coastal vulnerability was not assessed.…”

Section: Introductionmentioning

confidence: 96%

Prediction of Shoreline Changes for Different Coastal Configurations Using Future Climate Projections

Rajasree¹,

Deo²

2018

Int. Conf. Coastal. Eng.

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The estimation of shoreline change as well as sediment transport at a specified site can be reliably made with the help of corresponding numerical models that are run with the help of historical wave data generated using windwave models based on the input of past wind conditions. It is well known that the magnitude and behavior of historical wind and waves would not remain same in future as a result of the climate change induced by global warming. (Komar et al., 2010). In this light the present study attempts to understand what happens if future wind and waves are generated using regional climate models (RCMs) and the shoreline change and sediment transport is determined on that basis instead of historical wind and wave data. Toward this we have considered there different types of shorelines, namely (a) an uninterrupted coastal stretch, (b) the coast interrupted by an artificial structure and (c) the coast interrupted by natural features. This study goes beyond an earlier one (Rajasree et al., 2016) in which only case (a) was discussed and where coastal vulnerability was not assessed.

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Effect of climate change on shoreline shifts at a straight and continuous coast

Cited by 34 publications

References 24 publications

Evaluation of estuary shoreline shift in response to climate change: A study from the central west coast of India

Evaluation of estuary shoreline shift in response to climate change: A study from the central west coast of India

Analysis of shoreline changes in Vishakhapatnam coastal tract of Andhra Pradesh, India: an application of digital shoreline analysis system (DSAS)

Prediction of Shoreline Changes for Different Coastal Configurations Using Future Climate Projections

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