| Literature DB >> 27742152 |
Jennifer M Brown1, Jack J C Phelps2, Andrew Barkwith3, Martin D Hurst4, Michael A Ellis3, Andrew J Plater5.
Abstract
Resilient coastal protection requires adaptive management strategies that build with nature to maintain long-term sustainability. With increasing pressures on shorelines from urbanisation, industrial growth, sea-level rise and changing storm climates soft approaches to coastal management are implemented to support natural habitats and maintain healthy coastal ecosystems. The impact of a beach mega-nourishment along a frontage of interactive natural and engineered systems that incorporate soft and hard defences is explored. A coastal evolution model is applied to simulate the impact of different hypothetical mega-nourishment interventions to assess their impacts' over 3 shoreline management planning epochs: present-day (0-20 years), medium-term (20-50 years) and long-term (50-100 years). The impacts of the smaller interventions when appropriately positioned are found to be as effective as larger schemes, thus making them more cost-effective for present-day management. Over time the benefit from larger interventions becomes more noticeable, with multi-location schemes requiring a smaller initial nourishment to achieve at least the same benefit as that of a single-location scheme. While the longer-term impact of larger schemes reduces erosion across a frontage the short-term impact down drift of the scheme can lead to an increase in erosion as the natural sediment drift becomes interrupted. This research presents a transferable modelling tool to assess the impact of nourishment schemes for a variety of sedimentary shorelines and highlights both the positive and negative impact of beach mega-nourishment.Keywords: Beach mega-nourishment; Coastal evolution model; Coastal resilience; Dungeness; Shoreline evolution; Shoreline management planning
Mesh:
Year: 2016 PMID: 27742152 DOI: 10.1016/j.jenvman.2016.09.090
Source DB: PubMed Journal: J Environ Manage ISSN: 0301-4797 Impact factor: 6.789