Measurement of historical cliff-top changes and estimation of future trends using GIS data between Bridlington and Hornsea – Holderness Coast (UK)

Castedo, Ricardo; Vega‐Panizo, Rogelio de la; Fernández, Marta Cejudo; Paredes, Carlos

doi:10.1016/j.geomorph.2014.11.013

Cited by 21 publications

(19 citation statements)

References 43 publications

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“…), three-dimensional study is necessary to understand these relationships and get the ecosystems balance. Nowadays, three-dimensional studies is possible thanks to the geographic information systems (GIS), which has been widely used to study coastal risks (Brown, 2006;Budetta et al, 2008), the evolution of the cliffs topography and seabed (Castedo et al, 2015;Dawson and Smithers, 2010;Mills et al, 2005), or the evolutions of the coastline from aerial images creating applications such as the Digital Shoreline Mapping System, DSAS (Thieler and William, 1994).…”

Section: Introductionmentioning

confidence: 99%

The effects of the anthropic actions on the sandy beaches of Guardamar del Segura, Spain

Pagán

López

Aragonés

et al. 2017

Science of The Total Environment

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There are many activities and uses in the coastal environment, which has historically attracted the humans. This attraction has led to many anthropic actions that have generated imbalances, more important as the human pressure increases. This research focuses on the effects of these pressures along of 11km of the coastline of Guardamar del Segura, a high-value environmental area where is the Segura River mouth and one of the last dune systems of the southeast of Spain. The historic evolution of the shoreline position has been analysed using 60years of aerial images from 1950s to 2014, the seabed depth changes, the maritime climate, the distribution of the sediment grain size and the anthropic actions such as urban development or the channelling of the river. All data were integrated and processed using a Geographic Information System (GIS). The results show that the lack of sediment supply by Segura River and the cut-off in the longshore transport due to the breakwaters and others anthropic actions has led into an increase in the beaches erosion rates, with a loss of >3.2millionm of sand in the last 58years (≈55,200m/year). The conclusions of this research could be useful to the coastal managers at the moment of making the decisions of action and/or conservation on a coastal system to achieve positive results in the medium and long term.

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Section: Introductionmentioning

confidence: 99%

The effects of the anthropic actions on the sandy beaches of Guardamar del Segura, Spain

Pagán

López

Aragonés

et al. 2017

Science of The Total Environment

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“…The minimum R 2 value of these regressions is 0.89, see Ref. [12] for more details. The recession rates vary from one profile to another with values from 0.95 to 1.83 m/year, making the erosion trend so irregular.…”

Section: Model Application: Holderness Coast (Uk)mentioning

confidence: 97%

“…As outlined previously [11,12] in this numerical model, the rock profile, y (z, t + T) represented as a column of horizontally aligned layers of height Δz = 0.05 m, moves a quantity δy(z,T) in the points z affected by the erosive processes after one tidal period T. This quantity can be defined as the erosion of each element of the cliff front and depends on H b, which is the breaking wave height; T b, which is the wave period; K, which is a calibration term representing hydrodynamic constants (100 m 13/4 s 7/2 /kg for the application site; see Refs. [11,12]); σ c (z), which is the uniaxial compressive strength (USC) of the rock mass; ∂ z y(z,t) −1 , which is the slope of each rock element z (which changes through simulation time in response to the calculated erosion and consequently to profiles evolution); p w (z,t), which is the shape function (which include from experimental data- [41,42]-the erosion of different type waves) and w t (t), which is the tidal expression introduced as a sinusoid that oscillates about mean sealevel with an amplitude A m and period T (both can be obtained through governmental marine agencies). The rock profile evolution can be described as seen in Eq.…”

Section: Erosive Model Detailsmentioning

confidence: 99%

“…This area is also very sensible to changes in the conditions like sea-level rise (SLR) or extreme weather events, which are mostly related to the acceleration of coastal retreat [5][6][7]. Some rapidly retreating areas like the Great Lakes of North America, England (north-eastern coasts), and parts of the United States (north-eastern coasts) are highly exposed to changes in these factors [8][9][10][11][12]. On rapidly retreating coasts, it is not just the geographic position of the cliff face that is important, but the entire interaction of the land with the constantly changing hydrodynamic regime creating a complex coastal system [4,7,13,14].…”

Section: Introductionmentioning

confidence: 99%

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The Modelling of Coastal Cliffs and Future Trends

Castedo¹,

Paredes²,

Vega‐Panizo³

et al. 2017

Hydro-Geomorphology - Models and Trends

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About 80% of the world's oceanic shorelines include diverse types of cliffed and rocky coasts: plunging cliffs, bluffs backing beaches and rocky shore platforms. In combination, approximately 60% of the world's population lives within 60 km of the coast. Rapidly retreating soft cliffs may be found worldwide and are particularly vulnerable to changes in the forcing factors. The study and analysis of the rate of change in shoreline position through time is important or even imperative for coastal management. The development of cliff erosion predictive models is mainly limited to geomorphological data because of the complex interactions between physical-chemical processes acting simultaneously in time and space that result in large scale variations. Current historical extrapolation models use historical recession data, but different environments with the same historical values can produce identical annual retreat characteristics despite the potential responses to a changing environment being unequal. For that reason, process-response models (PRMs) are necessary to provide quantitative predictions of the effects of natural and human-induced changes that cannot be predicted using other models. Several models are explained and discussed, including a process-response model, based on real data at Holderness Coast (UK).

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“…Therefore, it is necessary to study the evolution of the shoreline, and the transport and spatial and temporal distribution of sediments [11]. In this sense, geographic information systems (GIS), widely used in coastal risk assessment [12,13], or the evolution of cliff and seabed topography, are very useful [14,15]. Among the studies conducted, those of Rosskopf et al [16] investigated the possible influence of natural and anthropogenic factors, especially climate variability and coastal defence structures designed on the coast of Molise.…”

Section: Introductionmentioning

confidence: 99%

Consequences of Anthropic Actions in Cullera Bay (Spain)

Pagán¹,

López²,

Bañón³

et al. 2020

JMSE

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Urbanization and anthropogenic activities have generated significant imbalances in coastal areas. This study analysed the shoreline evolution of the Bay of Cullera (Spain), characterized by strong urban and tourist pressure and with important human interventions during the last century. The evolution of the shoreline was analysed using 60 years of aerial images since the 1950s of the seabed, the maritime climate and the distribution of sediment, as well as anthropogenic actions, such as urban development or the channelling of the Júcar River through the integration of information in a geographical information system (GIS). The results showed: (i) Changes in land-use, in which the substitution of the crop and mountain areas by urban areas was mainly observed. (ii) A general increase in the beach area, although there were important periods of erosion in some points due to anthropic actions. (iii) A significant decrease in the median sediment size in the whole bay since 1987, with a current D50 of 0.125–0.180 mm. The analysis carried out has made it possible to identify trends in coastal accumulation and regression in the different sections of the sector, as well as to demonstrate the usefulness and advantages of GIS.

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Measurement of historical cliff-top changes and estimation of future trends using GIS data between Bridlington and Hornsea – Holderness Coast (UK)

Cited by 21 publications

References 43 publications

The effects of the anthropic actions on the sandy beaches of Guardamar del Segura, Spain

The effects of the anthropic actions on the sandy beaches of Guardamar del Segura, Spain

The Modelling of Coastal Cliffs and Future Trends

Consequences of Anthropic Actions in Cullera Bay (Spain)

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