Simulating mesoscale coastal evolution for decadal coastal management: A new framework integrating multiple, complementary modelling approaches

Maanen, Barend van; Nicholls, Robert J.; French, Jon; Barkwith, Andrew; Bonaldo, Davide; Burningham, Helene; Murray, A. Brad; Payo, Andrés; Sutherland, James; Thornhill, Gillian; Townend, Ian; Wegen, Mick van der; Walkden, Mike

doi:10.1016/j.geomorph.2015.10.026

Cited by 52 publications

(39 citation statements)

References 108 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This technology becomes particularly efficient and versatile when complemented with wave data recorded by local instrumentations, such as an ADCP or buoys, and for supporting full process-based models as COAWST (Warner et al, 2010), MIKE2D, TELEMAC (i.e. Samaras et al, 2016) or reduced-complexity and data-driven models (van Maanen et al, 2015), in a longer temporal scale. Every video station can monitor about 300 m of beach very frequently, with a cost equivalent to approximately 10 GPS surveys.…”

Section: Discussionmentioning

confidence: 99%

“…In the current analysis the shorelines were automatically detected on the rectified image, through an image processing tool specifically developed in the MATLAB environment. The methodology was the same applied in Archetti and Zanuttigh, (2010), based on a sub-pixel extraction of the line between water and non-water zones (Viet et al, 2014, Carniel et al, 2011Vousdoukas et al, 2011;Archetti, 2009). Detected shorelines were then interpolated at 5 m spatial resolution.…”

Section: Shoreline Detection Before and After The Stormmentioning

confidence: 99%

See 1 more Smart Citation

Optimal index related to the shoreline dynamics during a storm: the case of Jesolo beach

Archetti¹,

Paci²,

Carniel³

et al. 2016

Nat. Hazards Earth Syst. Sci.

Self Cite

View full text Add to dashboard Cite

Abstract. The paper presents an application of shoreline monitoring aimed at understanding the response of a beach to single storms and at identifying its typical behaviour, in order to be able to predict shoreline changes and to properly plan the defence of the shore zone. On the study area, in Jesolo beach (northern Adriatic Sea, Italy), a video monitoring station and an acoustic wave and current profiler were installed in spring 2013, recording, respectively, images and hydrodynamic data. The site lacks previous detailed hydrodynamic and morphodynamic data.Variations in the shoreline were quantified in combination with available near-shore wave conditions, making it possible to analyse the relationship between the shoreline displacement and the wave features. Results denote characteristic patterns of beach response to storm events, and highlight the importance of improving beach protection in this zone, notwithstanding the many interventions experimented in the last decades. A total of 31 independent storm events were selected during the period October 2013-October 2014, and for each of them synthetic indexes based on storm duration, energy and maximum wave height were developed and estimated. It was found that the net shoreline displacements during a storm are well correlated with the total wave energy associated to the considered storm by an empirical power law equation. A sub-selection of storms in the presence of an artificial dune protecting the beach (in the winter season) was examined in detail, allowing to conclude that the adoption of this coastal defence strategy in the study area can reduce shoreline retreat during a storm. This type of intervention can sometimes contribute to prolonging overall stability not only in the replenished zone but also in downdrift areas.The implemented methodology, which confirms to be economically attractive if compared to more traditional monitoring systems, proves to be a valuable system to monitor beach erosive processes and provide detailed indications on how to better plan beach-maintenance activities. The presented methodology and the proposed results can therefore be used as a basis for improving the collaboration between coastal scientists and managers to solve beach erosion problems, in locations where data are scattered and sporadic.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Shoreline Detection Before and After The Stormmentioning

confidence: 99%

Optimal index related to the shoreline dynamics during a storm: the case of Jesolo beach

Archetti¹,

Paci²,

Carniel³

et al. 2016

Nat. Hazards Earth Syst. Sci.

Self Cite

View full text Add to dashboard Cite

show abstract

“…Recently, scientists have developed hybrid shoreline‐change models [ van Maanen et al , , Vitousek et al , ], in which, for example, (1) the wave dynamics are simulated by using a physics‐based approach, (2) a synthesis of process‐based models is used to forecast shoreline evolution, and (3) historical data are used to improve estimates of the model's parameters [e.g., Long and Plant , ]. The hybrid approach leverages the multiple advantages offered by different modeling approaches.…”

Section: Integrating Data and Modelsmentioning

confidence: 99%

Can beaches survive climate change?

2017

View full text Add to dashboard Cite

Anthropogenic climate change is driving sea level rise, leading to numerous impacts on the coastal zone, such as increased coastal flooding, beach erosion, cliff failure, saltwater intrusion in aquifers, and groundwater inundation. Many beaches around the world are currently experiencing chronic erosion as a result of gradual, present‐day rates of sea level rise (about 3 mm/year) and human‐driven restrictions in sand supply (e.g., harbor dredging and river damming). Accelerated sea level rise threatens to worsen coastal erosion and challenge the very existence of natural beaches throughout the world. Understanding and predicting the rates of sea level rise and coastal erosion depends on integrating data on natural systems with computer simulations. Although many computer modeling approaches are available to simulate shoreline change, few are capable of making reliable long‐term predictions needed for full adaption or to enhance resilience. Recent advancements have allowed convincing decadal to centennial‐scale predictions of shoreline evolution. For example, along 500 km of the Southern California coast, a new model featuring data assimilation predicts that up to 67% of beaches may completely erode by 2100 without large‐scale human interventions. In spite of recent advancements, coastal evolution models must continue to improve in their theoretical framework, quantification of accuracy and uncertainty, computational efficiency, predictive capability, and integration with observed data, in order to meet the scientific and engineering challenges produced by a changing climate.

show abstract

“…Coastal zones must be analysed from several points of view (e.g., geophysical, biological, socioeconomic, political, cultural, historical) and with different approaches (e.g., research, planning, operational purposes). Successful management requires a thorough understanding of the physical processes impacting the coast to create a strategic vision of the future, establishing a framework to guide future actions [1][2][3]. In light of this, local authorities are expected to produce a medium-term coastal plan that can effectively reduce and manage the risks that natural processes (e.g., storms, floods and erosion) pose to human health, the environment, cultural heritage, and businesses.…”

Section: Introductionmentioning

confidence: 99%

Vulnerability Analysis of the Venetian Littoral and Adopted Mitigation Strategy

Ruol

Martinelli

Favaretto

2018

Water

View full text Add to dashboard Cite

This paper discusses the key aspects of the recent Coastal Plan of the Veneto Region (IT). Its aim is to propose a single mitigation strategy for coastal erosion that is valid for the whole Veneto Region, and possibly elsewhere, as well as a method to assign a priority level to any action. The suggested mitigation action against erosion depends on urbanization level, beach width, as well as cross-shore and long-shore sediment transport. The criterion used to give a priority level to mitigation actions is based on a vulnerability index that takes into account erosive tendency, existing coastal flooding hazards, coast value, environmental relevance, tourist pressure, urbanization level, the presence of production activities, and cultural heritage. A sample case featuring the littoral of Rosolina is also provided and includes a site description, the sediment budget, critical issues and possible mitigation measures.

show abstract

Simulating mesoscale coastal evolution for decadal coastal management: A new framework integrating multiple, complementary modelling approaches

Cited by 52 publications

References 108 publications

Optimal index related to the shoreline dynamics during a storm: the case of Jesolo beach

Optimal index related to the shoreline dynamics during a storm: the case of Jesolo beach

Can beaches survive climate change?

Vulnerability Analysis of the Venetian Littoral and Adopted Mitigation Strategy

Contact Info

Product

Resources

About