Coastal Morphodynamics: Integrated Spatial Modeling on the by Nilay Kanti Barman, Soumendu Chatterjee, Ashis Kumar Paul

By Nilay Kanti Barman, Soumendu Chatterjee, Ashis Kumar Paul

This publication discusses the perceptions and sketches, geological heritage, fabrics and coastal approaches of the East Coast of India. It additionally indicates ideas for successfully dealing with common coastal procedures in those parts. India has a sea coast of approximately 7,516 km with various coastal extensions, which built at varied time scales, generating everlasting adaptations within the morphologies of the coastal components via hydrodynamic, fluvial, aeolian and terrestrial strategies. The booklet specializes in the Balasore coast, a space tired by way of 3 major rivers (the Subarnarekha, the Dugdeugi and the Burahbolong), which affects the coastal morphodynamic methods of the world and bills for his or her multifaceted nature.

Large drops or raises within the sediment provide inside a little while span or over lengthy sessions reason coastline transferring. 8 satellite tv for pc photos from 1975, 1980, 1990, 1995, 2000, 2005, 2010 and 2013 have been used to degree the coastline dynamics, and a reference line used to be demonstrated utilizing first order polynomial version with base info with 1/2 pixel root suggest sq. errors (RMSE) accuracy. the top aspect expense (EPR) version used to be followed for estimating the long run place of the coastline. so that it will verify the seashore morphodynamics, the coastal modeling process (SMC) used to be used, which includes with a chain of home equipment and numerical versions dependent in keeping with the gap and time scale of the various dynamics affecting the littoral and seashore morphology in accordance with various thematic and reference files. This learn hired momentary research utilizing the MOPLA module of the SMC procedure, which is composed of 3 connected modules: the wave transformation module (Oluca), the depth-averaged currents module (Copla) and the sediment shipping and morphological evolution module (Eros).

The coastline dynamics findings exhibit that the value of abrasion is greater within the northern a part of the sea coast within the left financial institution zone of the Subarnarekha river estuary and within the estuarine a part of the Dugdugi and Burahbalang rivers. The southern a part of the coastline close to Rasalpur and Joydevkasba is comparatively strong, and the learn means that the present coastline shift development will proceed sooner or later. The SMC version shows that the wave top, major wave top, present speed and the aptitude delivery of sediment on the Kirtaniya learn element are excessive, whereas at Choumukh they're low and on the Rasalpur examine aspect they're intermediate.

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Additional resources for Coastal Morphodynamics: Integrated Spatial Modeling on the Deltaic Balasore Coast, India

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The coastal region experiences heavy rainfall and humid climate due to its proximity to the sea. During the summer season (especially from the end of February to May) Odisha are visited by a type of severe thunderstorm known as Nor’westers. The rainy season is confined to the month of June to October after a long dry spell of hot humid summer. Dramatic of weather prevail over the coastal plain with the onset of south west monsoon in this period. Cyclonic storm of low magnitude in the Bay of Bengal sometimes blow with hurricane force and raise a high sea waves near their centers.

P. F. M. (1978). Energy loss and set-up due to breaking of random waves. In Proceedings of the 16th International Conference on Coastal Engineering (pp. 569– 587). ASCE. Birkemeier, W. A. (1994). The DUCK94 near shore field experiment—experiment overview. S. Army Engineer Waterways Experiment Station. Booij, N. (1981). Gravity Waves on Water with Non-uniform Depth and Current. D. disc Tech. University of Delft, The Netherlands. Coastal Research Group (GIOC). (1995–2003). The University of Cantabria.

The UTM coordinates (x and y) for each sample point were used to calculate ðmEPR Þ for both x and y locations of each point. Initially the model was calibrated based on 1975, 1980, 1990, 1995, 2000, 2005 and 2010 shoreline sample and the rate of movement ðmEPR Þ was calculated to predict the shoreline of 2013. Then the model was again calibrated with 2005 and 2010 shoreline sample points based on the reference line, shoreline change rates has been derived and the future shoreline position of the study area was predicted for both short term (2017) and long term (2030).

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