Titlebook: Coastal Morphodynamics; Integrated Spatial M Nilay Kanti Barman,Soumendu Chatterjee,Ashis Kumar Book 2016 The Author(s) 2016 Coastal Geomor

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书目名称Coastal Morphodynamics影响因子(影响力)




书目名称Coastal Morphodynamics影响因子(影响力)学科排名




书目名称Coastal Morphodynamics网络公开度




书目名称Coastal Morphodynamics网络公开度学科排名




书目名称Coastal Morphodynamics被引频次




书目名称Coastal Morphodynamics被引频次学科排名




书目名称Coastal Morphodynamics年度引用




书目名称Coastal Morphodynamics年度引用学科排名




书目名称Coastal Morphodynamics读者反馈




书目名称Coastal Morphodynamics读者反馈学科排名

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Book 2016 strategies for effectively managing natural coastal processes in these areas. India has a coastline of about 7,516 km with a variety of coastal extensions, which developed at different time scales, producing permanent variations in the morphologies of the coastal areas through hydrodynamic, fluvial

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Introduction to the Study,ugdugi and Burahbolong). The presence of these fluvial impacts may causes the coastal morphodynamic processes of these areas are very multifaceted in nature. Mobilization of sediment endow with the time-dependent amalgamation apparatus by which this morphologic modification occurs. Morphological cha

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Context and Background of the Subarnarekha Delta Plain, during the periods of erosional winnowing. The present studied coast extends from Rasalpur to Udaipur. The study area covers an area of about 142,519.76 hector Stretching between 21° 20′ 25ʺN. 86° 52′ 45ʺE and 22° 07′ 55ʺN 87° 31′ 37″E. This area is geomorphologically productive, reach in habitat d

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Materials and Methods: A Framework for the Coastal Morphodynamics,horeline and its future positions based on empirical observations at 67 transects along the Balasore coast. The rate of shoreline movement calculated from the fixed base line to shoreline position of 1975, 1980, 1990, 1995, 2000, 2005 and 2010 were applied and based on this, the estimated shoreline

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Shoreline Dynamics in Subarnarekha Delta Plain,each sample points (Transects) is observed. The positional error varies from −4.82 to 212.41 m. It has been found that model prediction error is higher in the mouth of river Subarnarekha. The overall error for the entire predicted shoreline was found to be 41.88 m by .. In addition, further it was t

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Book 2016 2000, 2005, 2010 and 2013 were used to measure the shoreline dynamics, and a reference linewas established using first order polynomial model with base data with 0.5 pixel root mean square error (RMSE) accuracy. The end point rate (EPR) model was adopted for estimating the future position of the sh

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