Quantitative analysis of erosion and accretion (1975–2017) using DSAS — A study on Indian Sundarbans

Bera, Rakesh; Maiti, Ramkrishna

doi:10.1016/j.rsma.2019.100583

Cited by 48 publications

(15 citation statements)

References 21 publications

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“…Erosional hotspots were identified on the coastal Discerning between changes induced by natural processes, human activities and climate change in the Gulf coast, like in other parts of the world, is a very complicated task, because these factors are interrelated in time and space [63]. Nevertheless, natural processes and human activities in coastal areas are the main factors linked to the modern dynamics [64]. Instead, the shoreline dynamics on sandy coasts will be essentially governed in the future by CC-driven variations in mean sea levels, wave conditions, storm surges and river flows [2].…”

Section: Discussionmentioning

confidence: 99%

Long-Term Analysis of Wave Climate and Shoreline Change along the Gulf of California

et al. 2020

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The last ten years have shown that Climate Change (CC) is a major global issue to attend to. The integration of its effects into coastal impact assessments and adaptation plans has gained great attention and interest, focused on avoiding or minimizing human lives and asset losses. Future scenarios of mean sea level rises and wave energy increase rates have then been computed, but downscaling still remains necessary to assess the possible local effects in small areas. In this context, the effects of CC on the wave climate in the Gulf of California (GC), Mexico, have received little attention, and no previous studies have tackled the long-term trend of wave climate at a regional scale. In this paper, the long-term trends of the wave height, wave period and wave energy in the GC were thus investigated, using the fifth-generation climate reanalysis dataset (ERA5). The long-term shoreline evolution was also examined from historical Landsat images, so as to identify erosional hotspots where intervention can be prioritized. The results indicate that both the mean and extreme wave regimes in the GC are getting more energetic and that two-thirds of the coast is suffering chronic erosion. A discrepancy between the trends of the wave period and wave height in some regions of the Gulf was also found. Finally, the importance of natural processes, human activity and CC in the shoreline change is highlighted, while addressing the need for future permanent field observations and studies in the GC.

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Section: Discussionmentioning

confidence: 99%

Long-Term Analysis of Wave Climate and Shoreline Change along the Gulf of California

et al. 2020

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“…In literature found out studies using different methods and tools for analyzing the temporal changes of the coastline. The Digital Shoreline Analysis System (DSAS) tool, which can be added as a tool especially to ArcGIS software, contains several statistical methods within it: NSM, EPR, SCE, LRR, WLR, ECI, LSE/WSE, LR2/WR2 (Albuquerque et al, 2013;Ataol et al, 2019;Bera & Maiti, 2019;Beyazıt et al, 2014;Bheeroo et al, 2016;Erdem et al, 2018;Kale et al, 2019;Kılar & Çiçek, 2018Kılar & Çiçek, , 2019Kuleli et al, 2011;Nassar et al, 2019;Oyedotun, 2014;Thieler & Danforth, 1994;To & Thao, 2008). However, these tools and methods are mostly used in literature to detect natural coastal changes in areas of low coastal profile, such as delta and coastal lowlands.…”

Section: Research Methods and Techniquesmentioning

confidence: 99%

“…Özellikle ArcGIS yazılımına araç olarak eklenebilen Digital Shoreline Analysis System (DSAS) aracı, içinde birçok istatistiksel yöntem barındırmaktadır: NSM (Net Shoreline Movement-Net Kıyı Çizgisi), EPR (End Point Rate), SCE (Shoreline Change Envelope), LRR (Linear Regression Rate -Doğrusal Regresyon Oranı), WLR (Weighted Linear Regression -Ağırlıklı Doğrusal Rekrasyon), ECI (Confidence of End Point Rate -Son Nokta Güven Oranı), LSE/WSE (Standard Error of the Estimate -Tahmini Hata Oranı), LR2/WR2 (Standard Error of the Estimate/ Tahmini Hata Oranı). DSAS ile kıyı çizgisinin şeklinde meydana gelen değişimler geçmişe yönelik gerçekleşebildiği gibi geleceğe yönelik projeksiyonlarda da kullanılabilmektedir (Albuquerque vd., 2013;Ataol vd., 2019;Bera & Maiti, 2019;Beyazıt vd., 2014;Bheeroo vd., 2016;Erdem vd., 2018;Kale vd., 2019;Kılar & Çiçek, 2018Kılar & Çiçek, , 2019Kuleli vd., 2011;Nassar vd., 2019;Oyedotun, 2014;Thieler & Danforth, 1994;To & Thao, 2008). Fakat bahsedilen araç ve yöntemler literatürde çoğunlukla delta ve kıyı ovaları gibi alçak kıyı profili sergileyen alanlarda doğal kıyı değişimlerini tespit etmek için kullanılmaktadır.…”

Section: Araştırma Sahasının Yeri Ve Genel Coğrafi öZellikleriunclassified

Çam Burnu (Ordu) İle Gül Burnu (Gi̇resun) Arasi Kiyi Çi̇zgi̇si̇ni̇n Zamansal Deği̇şi̇mi̇ Ve Kiyi Kullanimi

AKTAŞ

Bahadir

2022

Lnternational Journal of Geography and Geography Education

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“…West of the active Meghna Estuary, the delta front becomes increasingly sediment starved with distance from the fluvial sediment source. Erosion of approximately 4.6km 2 /yr has been observed along the Sundarbans coastline between 1972-2010 93 , with such net erosion patterns and widespread shoreline retreat being well documented for this western region of the delta [92][93][94][95] . However, these rates of loss are relatively low, as this region encompasses many thousands of square kilometres of intertidal delta plains, normalising this land loss to less than 0.01% per year.…”

Section: Delta Front Mobilitymentioning

confidence: 95%

Geomorphic change in the Ganges–Brahmaputra–Meghna delta

Paszkowski

Goodbred

Borgomeo

et al. 2021

Nat Rev Earth Environ

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Over 70% of large deltas are under threat from rising sea levels, subsidence and anthropogenic interferences, including the Ganges-Brahmaputra-Meghna (GBM) delta, the Earth's largest delta system. The dynamic geomorphology of this delta is often overlooked in assessments of its vulnerability; consequently, development plans and previous management investments have been undermined by unanticipated geomorphic responses. In this Review, we describe GBM delta dynamics, examining these changes through the Drivers-Pressures-States-Impacts-Responses framework. Since the early Holocene, the GBM delta has evolved in response to a combination of tectonics, geology, changing river discharge and sea level rise, but the dynamics observed today are driven by a complex interplay of anthropogenic interferences and natural background processes. Contemporary geomorphic changes such as shoreline change, channel migration, sedimentation and subsidence can increase flooding and erosion, impacting biodiversity and local livelihoods.Continued human disturbances to the GBM delta, such as curtailing sediment supplies, modifying channels and changing land use, could have a more direct influence on the future geomorphic balance than anthropogenic climate change. In order to contribute to long-term delta sustainability, adaptation responses must therefore be informed by an understanding of geomorphic dynamics, requiring increased research on future delta dynamics at centennial timescales.

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Quantitative analysis of erosion and accretion (1975–2017) using DSAS — A study on Indian Sundarbans

Cited by 48 publications

References 21 publications

Long-Term Analysis of Wave Climate and Shoreline Change along the Gulf of California

Long-Term Analysis of Wave Climate and Shoreline Change along the Gulf of California

Çam Burnu (Ordu) İle Gül Burnu (Gi̇resun) Arasi Kiyi Çi̇zgi̇si̇ni̇n Zamansal Deği̇şi̇mi̇ Ve Kiyi Kullanimi

Geomorphic change in the Ganges–Brahmaputra–Meghna delta

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