Journal
SCIENCE OF THE TOTAL ENVIRONMENT
Volume 875, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.scitotenv.2023.162488
Keywords
Shoreline dynamicity; Prediction; Remote sensing; Erosional hotspots; Digital shoreline analysis system (DSAS)
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This study aimed to assess the short-to long-term shoreline changes of the Odisha coast and predict shoreline changes for 2050. It utilized satellite images and a digital shoreline analysis tool to evaluate the shoreline dynamics over the past three decades. The analysis showed that the coastline experienced erosion, accretion, and stability, with a predicted increase in accretion by 2050.
The eastern coast of India is one of the regions where most of the population resides in urban areas in the low-elevation coastal zone, making it vulnerable to frequent extreme weather events. The objectives of this study are to assess the short-to long-term shoreline changes of the Odisha coast, to understand how anthropogenic influences, and particu-larly extreme natural events, affect these changes, and to predict shoreline changes for 2050. This study utilized multi-temporal/spectral/spatial resolution satellite images and a digital shoreline analysis (DSAS) tool to appraise the short-(at five/six-year intervals) and long-term (1990-2019) shoreline dynamics along the coastal part of Odisha over the past three decades (1990-2019). The long-term shoreline analysis shows that the mean shoreline change is about 0.67 m/year and highlights that 52.47 %(227.4 km), 34.70 %(150.4 km), and 12.83 %(55.6 km) of the total Odisha coastline exhibit erosion, accretion, and stability, respectively. During the short-term analysis, the 2000-2005 period had the highest percentage of erosion (64.27 %), followed by the 2005-2010 period with an ero-sional trend of 59.06 %. The 1995-2000 period showed an accretion trend, whereas, during the last period, i.e., 2015-2019, the percentage of transects depicting erosion and accretion was almost similar. In 2050, 55.85 % of the transects are expected to show accretion, while 44.15 % would show erosion or a constant trend. The study iden-tified the hotspots of coastal erosion along delineated study zones by synthesizing data from previous studies as well.
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