Sustainable Coastal Zone Management: A Concept for Forecasting Long-Term and Large-Scale Coastal Evolution

Brommer, Marit; Burgh, Lisette Marije Bochev-Van der

doi:10.2112/07-0909.1

Cited by 21 publications

(13 citation statements)

References 46 publications

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“…At present, approximately 44% of the global human population lives within 150 km of the coastal zone [2,3]. Population growth and economic pressure in coastal zones will continue to increase, not only in the near future, but also centuries from now [4]. Therefore, considering the projected global climate change, it is crucial to comprehend the evolution of the coastal zone.…”

Section: Introductionmentioning

confidence: 99%

The Contribution of Multispectral Satellite Image to Shallow Water Bathymetry Mapping on the Coast of Misano Adriatico, Italy

Muzirafuti

Barreca

Crupi

et al. 2020

JMSE

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The results of absolute satellite-derived bathymetry (SDB) are presented in the current study. A comparative analysis was conducted on empirical methods in order to explore the potential of SDB in shallow water on the coast of Misano, Italy. Operations were carried out by relying on limited in situ water depth data to extract and calibrate bathymetry from a QuickBird satellite image acquired on a highly dynamic coastal environment. The image was processed using the log-band ratio and optimal band ratio analysis (OBRA) methods. Preprocessing steps included the conversion of the raw satellite image into top of atmosphere reflectance, spatial filtering, land and water classification, the determination of the optimal OBRA spectral band pairs, and the estimation of relative SDB. Furthermore, calibration and vertical referencing were performed via in situ bathymetry acquired in November 2007. The relative bathymetry obtained from different band ratios were vertically referenced to the local datum using in situ water depth in order to obtain absolute SDB. The coefficient of determination (R2) and vertical root mean square error (RMSE) were computed for each method. A strong correlation with in situ field bathymetry was observed for both methods, with R2 = 0.8682 and RMSE = 0.518 m for the log-band ratio method and R2 = 0.8927–0.9108 and RMSE = 0.35 m for the OBRA method. This indicated a high degree of confidence of the SDB results obtained for the study area, with a high performance of the OBRA method for SDB mapping in turbid water.

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Section: Introductionmentioning

confidence: 99%

The Contribution of Multispectral Satellite Image to Shallow Water Bathymetry Mapping on the Coast of Misano Adriatico, Italy

Muzirafuti

Barreca

Crupi

et al. 2020

JMSE

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“…For the Hermenegildo Beach region, such condition has been operating since the end of Postglacial Marine Transgression (6-7 cal Ka), when sea-level rise rates started decreasing and sediment deficit started exerting larger control over shoreline behavior causing the coastline to retreat (Lima et al, 2013). Several studies have demonstrated the importance of sediment budgets in understanding coastal evolution in the long term and influencing shoreline position, demonstrating that better hindcasts of shoreline retreat were produced when this parameter was incorporated (List et al, 1997;Everts, 1985;Rosati, 2005;Brommer and Van Der Burgh, 2009). Likewise, Dillenburg et al(2000) highlighted such role in coastal evolution along other parts of RS coast, for instance near Conceição Lighthouse, where shoreline had receded due to a negative sediment budget even during sea-level fall (0.35 mm.yr -1 ), nonetheless a quasi-stable sea-level condition.…”

Section: Discussionmentioning

confidence: 99%

Modelling the effects of sea-level rise and sediment budget in coastal retreat at Hermenegildo Beach, Southern Brazil

2018

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Climate change effects such as accelerated sea-level rise, wave climate alteration and disturbances on sediment-budgets are anticipated to lead to a range of adverse impacts in coastal regions around the world. A rise in sea-level is expected to cause shoreline recession, and a sediment deficit can have a similar effect. Since large uncertainties exist in relation to sea-level rise rates and sediment budgets, it is relevant to determine how sensitive the coast is to each of these disturbances. In this context, this paper provides a quantitative evaluation of each of these parameters in terms of modeled coastal recession through risk-based assessments using an aggregated coastal model, the DRanSTM (Dilating Random Shoreface Translation Model). In each separate computer simulation, a sediment budget and a sea-level scenario were set for an erosional coastal stretch: Hermenegildo Beach, Rio Grande do Sul state in southern Brazil. Effects of changes in wave climate were not directly considered in this study. However, indirect measures of such changes should be reflected on coastal sediment budgets. Simulation results demonstrate that under present-day sea-level rise rates, sediment deficit exerts control over coastal recession. Conversely, under the higher forecasted sea-level rise for the year 2100, mean shoreline recession will be dictated by sea-level rise, considering historical sediment deficit will be sustained.

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“…A large amount of ecological and agricultural land has been converted to residential and industrial land. These large changes in regional ecological patterns [9][10][11] may lead to a series of ecological and environmental problems, such as coastal erosion [12], wetland loss [13], deterioration of offshore water quality [14], etc. How to quantify the anthropogenic interference in coastal zones under the influence of rapid urbanisation is an important question to answer for coastal scientific governance and sustainable development [8,15].…”

Section: Introductionmentioning

confidence: 99%

Dynamic Evaluation of the Impact of Human Interference during Rapid Urbanisation of Coastal Zones: A Case Study of Shenzhen

et al. 2020

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Coastal ecosystems undergoing rapid urbanisation have characteristics of both natural and artificial ecosystems. How we evaluate the dynamic impact of human activities on coastal ecosystems is important for coastal zone management and development. In this study, we first developed a method to extract both the natural and artificial features of coastal land cover, and classified the coastal landscapes impacted by human activities from an ecological service perspective. We then constructed an ecological interference index for classification to evaluate the impact of coastal human interference on both artificial and natural ecosystems during rapid urbanisation. Lastly, we verified our method by applying it to the coastal zone in Shenzhen, China. Our results show that this method can describe the effects of human activities on coastal zones in more detail. The distribution of human activity was mainly associated with the geomorphology of the coastal zone. Changes in human interference were seen strongly in proximity to both the landward and coastal boundaries of the study area, in close correlation with the public’s increasing conscience for ecological environment protection.

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Sustainable Coastal Zone Management: A Concept for Forecasting Long-Term and Large-Scale Coastal Evolution

Abstract: BioOne Complete (complete.BioOne.org) is a full-text database of 200 subscribed and open-access titles in the biological, ecological, and environmental sciences published by nonprofit societies, associations, museums, institutions, and presses.

Cited by 21 publications

References 46 publications

The Contribution of Multispectral Satellite Image to Shallow Water Bathymetry Mapping on the Coast of Misano Adriatico, Italy

The Contribution of Multispectral Satellite Image to Shallow Water Bathymetry Mapping on the Coast of Misano Adriatico, Italy

Modelling the effects of sea-level rise and sediment budget in coastal retreat at Hermenegildo Beach, Southern Brazil

Dynamic Evaluation of the Impact of Human Interference during Rapid Urbanisation of Coastal Zones: A Case Study of Shenzhen

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