Shoreline change analysis using end point rate and net shoreline movement statistics: An application to Elmina, Cape Coast and Moree section of Ghana’s coast

Jonah, Fredrick Ekow; Boateng, Isaac; Osman, Adams; Shimba, Moses Joel; Mensah, Emmanuel Abeashi; Adu‐Boahen, Kofi; Chuku, Ernest Obeng; Effah, Elizabeth

doi:10.1016/j.rsma.2016.05.003

Cited by 48 publications

(21 citation statements)

References 29 publications

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“…Having conducted a review of the various factors contributing to the erosion-accretion processes, such as geomorphology, there is evidence that the study area has suffered major retreats in its shoreline in recent years, although in some cases accretion processes are also present. There are several evidences of coastal erosion, which is occurring and generating strong impacts on the study area, and although its causes and consequences have become important issues in recent years, the problem has not been appropriately managed according to several authors (Jonah, et al, 2016). A strong erosion, with a greater retreat, has occurred in areas such as Los Cocos, the Simón Bolívar International Airport area and Plenomar beaches.…”

Section: Discussionmentioning

confidence: 99%

Coastal landforms caused by deposition and erosion along the shoreline between Punta Brava and Punta Betín, Santa Marta, Colombian Caribbean

Vargas-T.

Uribe-P.

Castellanos-A.

et al. 2016

Rev. Acad. Colomb. Cienc. Ex. Fis. Nat.

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Coasts are natural dynamic systems that are constantly changing. Several factors, such as sea level change, sediment availability and coastal processes strongly influence the evolution of the coastal landscape. However, the tectonic setting of the coast and the rate of sea level rise can also be important factors to consider. Coastal landforms are a consequence of the simultaneous operation of erosion, transportation and deposition processes and have evolved over a geologically short time, with several of them being almost exclusively the result of the action of ocean waves. The world's most spectacular and dramatic erosional landforms are due to wave action, whereas the reduction of wave energy created deposition landforms. This paper presents an analysis of the coastal landforms caused by deposition and erosion along the shoreline in the sector between Punta Brava and Punta Betín, Santa Marta region, Colombian Caribbean. On the other hand, it is a contribution to the geological knowledge of the Geotectonic Province of Santa Marta and emerges as an alternative solution to various problems. It also promotes research on this region regarding other factors such as the increasing marine activity, population in coastal areas, development of tourism, as well as a series of geological evolutionary processes that reflect in coastal morphology. Coastal landforms are valuable environmental, aesthetic, and recreational resources that are subject to natural processes as well as to the effects of human activities. The results of this study can provide a sound basis for sustainable planning and management of the territory. © 2016. Acad. Colomb. Cienc. Ex. Fis. Nat. Key words: Coastal landforms; Santa Marta; Geotectonic province; Colombian Caribbean; Evolutionary processes.Geoformas costeras causadas por depositación y erosión a lo largo de la línea costera entre Punta Brava y Punta Betín, Santa Marta, Caribe Colombiano ResumenLas costas son sistemas naturales dinámicos que cambian constantemente. La evolución del paisaje costero está fuertemente influenciada por varios factores, tales como el cambio del nivel del mar, la disponibilidad de sedimento y los procesos costeros. Sin embargo, la configuración tectónica de la costa y la tasa de aumento del nivel del mar pueden ser también factores importantes a tener en cuenta. Las geoformas costeras son una consecuencia de la operación simultánea de procesos de erosión, transporte y deposición y han evolucionado durante un periodo de tiempo geológicamente corto; varios de dichos procesos han sido el resultado casi exclusivo de la acción de las olas del mar. Las geoformas costeras de erosión más espectaculares y dramáticas del mundo se deben a la acción del oleaje, mientras que las formas deposicionales se producen por la reducción de la energía de las olas. En este trabajo se presenta un análisis de las geoformas costeras entre Punta Brava y Punta Betín, en Santa Marta, Caribe colombiano. Por otra parte, es una contribución al conocimiento geológico de la Provincia Geotectó...

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Section: Discussionmentioning

confidence: 99%

Coastal landforms caused by deposition and erosion along the shoreline between Punta Brava and Punta Betín, Santa Marta, Colombian Caribbean

Vargas-T.

Uribe-P.

Castellanos-A.

et al. 2016

Rev. Acad. Colomb. Cienc. Ex. Fis. Nat.

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“…Shoreline change was estimated through a statistical analysis of a cross-shore change rate, the End Point Rate (EPR) method of the Digital Shoreline Analysis System v4.3 (DSAS, Thieler and Danforth, 1994) toolbox for ArcGIS desktop® v10.2. This method is commonly used in numerous coastal change studies (e.g., Acciarri et al, 2016;Jonah et al, 2016). Change rates, in metres per year, are calculated as the variation between two shorelines along cross-shore transects generated by DSAS ( Figure 2), divided by the time lapse between two images in decimal years.…”

Section: Analysis Of Shoreline Changementioning

confidence: 99%

Exceptional rates and mechanisms of muddy shoreline retreat following mangrove removal

Brunier

Anthony

Gratiot

et al. 2019

Earth Surf Processes Landf

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Probably the largest regular shoreline fluctuations on Earth occur along the 1500 km‐long wave‐exposed Guianas coast of South America between the mouths of the Amazon and Orinoco Rivers, the world's longest muddy coast. The Guianas coast is influenced by a succession of mud banks migrating northwestward from the Amazon. Migrating mud banks dissipate waves, partially weld onshore, and lead to coastal progradation, aided by large‐scale colonization by mangroves, whereas mangrove‐colonized areas between banks (inter‐bank areas) are exposed to strong wave action and undergo erosion. On large tracts of this coast, urbanization and farming have led to fragmentation and removal of mangroves, resulting in aggravated shoreline retreat. To highlight this situation, we determined, in a setting where mangroves and backshore freshwater marshes have been converted into rice polders in French Guiana, shoreline change over 38 years (1976‐2014) from satellite images and aerial orthophotographs. We also conducted four field experiments between October 2013 and October 2014, comprising topographic and hydrodynamic measurements, to determine mechanisms of retreat. The polder showed persistent retreat, at peak rates of up to ‐200 m/yr, and no recovery over the 38‐year period of monitored change. Notwithstanding high erosion rates, mangrove shorelines show strong resilience, with recovery characterized by massive accretion. Retreat of the polder results in a steep wave‐reworked shoreface with a lowered capacity for bank welding onshore and mangrove establishment. Persistent polder erosion is accompanied by the formation of a sandy chenier that retreats landwards at rates largely exceeding those in inter‐bank situations. These results show that anthropogenic mangrove removal can durably modify the morphodynamics of muddy shorefaces. This limits the capacity for shoreline recovery and mangrove re‐establishment even when there is no sustained long‐term deficit in mud supply, as in the case of the Amazon‐influenced Guianas coast. © 2019 John Wiley & Sons, Ltd.

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“…Therefore, the HWL which can be easily identified by the wet/dry line was used for shoreline digitizing. The HWL is a valid indicator which has been used frequently in coastal researches [69,72]. Historical images of the area were obtained from Google Earth software.…”

Section: Shoreline Digitizingmentioning

confidence: 99%

“…This value is calculated based on sampling, measurement and statistical errors of compiling each shoreline position [68,72,75]. After Jonah et al [72], to calculate the uncertainty value, three uncertainty terms related to this study were considered according to Hapke et al [6]. They are georeferencing uncertainty (Ug), digitizing uncertainty (Ud) and the HWL uncertainty at the time of survey (Upd).…”

Section: Shoreline Rate Of Change Calculationmentioning

confidence: 99%

“…They are georeferencing uncertainty (Ug), digitizing uncertainty (Ud) and the HWL uncertainty at the time of survey (Upd). Value of georeferencing uncertainty was obtained earlier 1.9 m. The digitizing uncertainty and the HWL uncertainty values were chosen from Hapke et al [6] (following Jonah et al [72]) which are 1m and 4.5m respectively. The total uncertainty value (Up) is calculated from Eq.…”

Section: Shoreline Rate Of Change Calculationmentioning

confidence: 99%

See 1 more Smart Citation

A New Methodology to Analysis and Predict Shoreline Changes Due to Human Interventions (Case Study: Javad Al-Aemmeh port, Iran)

Rezaee

Golshani

Mousavizadegan

2019

ijmt

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In recent years, determining the rate of shoreline change by its historical trend has been reported frequently. This study has focused on shorelines at the adjacency of Javad Al-Aemmeh port which has undergone successive constructions in its region. The decadal trend of studied shoreline change was determined by the historical trend method. A numerical method was also employed to reduce the probable deficiencies concerned to these constructions. Accordingly, for the first time, a framework was developed to compare the results of historical trend and numerical methods with a field-measured value both spatially and quantitatively and based on this comparison, the most suitable rate of change was assigned to each coastal landform. Finally, it was revealed that among the computed rates, the Linear Regression Rate (LRR) from historical trend method has given the best estimation for the shoreline change rate, but in those parts which the shoreline was directly under influence of human interventions the change rate derived from the numerical method has been more accurate. Besides, results showed that at those parts which the Net Shoreline Movement (NSM) and the Shoreline Change Envelope (SCE) are identical, predicting the future position of shoreline by its past trend is more reliable.

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Shoreline change analysis using end point rate and net shoreline movement statistics: An application to Elmina, Cape Coast and Moree section of Ghana’s coast

Cited by 48 publications

References 29 publications

Coastal landforms caused by deposition and erosion along the shoreline between Punta Brava and Punta Betín, Santa Marta, Colombian Caribbean

Coastal landforms caused by deposition and erosion along the shoreline between Punta Brava and Punta Betín, Santa Marta, Colombian Caribbean

Exceptional rates and mechanisms of muddy shoreline retreat following mangrove removal

A New Methodology to Analysis and Predict Shoreline Changes Due to Human Interventions (Case Study: Javad Al-Aemmeh port, Iran)

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