The Predictive Accuracy of Shoreline Change Rate Methods and Alongshore Beach Variation on Maui, Hawaii

Genz, Ayesha S.; Fletcher, Charles H.; Dunn, R. A.; Frazer, L. Neil; Rooney, John J. B.

doi:10.2112/05-0521.1

Cited by 214 publications

(155 citation statements)

References 9 publications

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“…Mapping the historical shorelines introduce additional uncertainties. Three positional and four measurement errors were recently described (Fletcher et al 2003(Fletcher et al , 2012Genz et al 2007;Romine et al 2009;Hapke et al 2010) for the historical shoreline positions digitized from aerial photographs and topographic maps. The impact of tides on the shoreline location is negligible in this part of the Baltic Sea where the tidal range is a few cm (Leppäranta, Myrberg 2009).…”

Section: Uncertainty and Errormentioning

confidence: 99%

Assessment of shoreline changes along the Lithuanian Baltic Sea coast during the period 1947–2010

Bagdanavičiūtė

Kelpšaitė

Daunys

2012

Baltica

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Shoreline position measurements at various time instants can be used to derive quantitative estimates of the rate of shoreline change and help to understand the magnitude and timing of erosion or accretion processes. Aerial photographs and topographic maps from 1947 to 2010 have been used to derive instantaneous shoreline positions, from which shoreline change rates have been estimated using statistical parameters: shoreline change envelope (SCE), net shoreline movement (NSM), and end-point rate (EPR). Non-metric multi-dimensional scaling (nMDS) has been applied for shoreline classification into dynamic sectors. This study was carried out along 90.6 km of Lithuanian Baltic Sea coast over the time span 1947 to 2010. The study demonstrated that combined use of cartographic data and statistical methods could be a reliable method for shoreline related studies. Application of such data seems to be trustworthy in qualitative monitoring of shoreline changes, while it is the only available method for long term studies.

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Section: Uncertainty and Errormentioning

confidence: 99%

Assessment of shoreline changes along the Lithuanian Baltic Sea coast during the period 1947–2010

Bagdanavičiūtė

Kelpšaitė

Daunys

2012

Baltica

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“…This method was selected because it requires only two shoreline positions to obtain a rate of change, as is the case in this study. The method is also considered as the most commonly used method to compute shoreline rate of change (Crowell et al, 2005;Genz et al, 2007). However, the approach has inherent sources of uncertainty which might affect the reliability of computed rate of change (Genz et al, 2007).…”

Section: Work Completedmentioning

confidence: 99%

“…The method is also considered as the most commonly used method to compute shoreline rate of change (Crowell et al, 2005;Genz et al, 2007). However, the approach has inherent sources of uncertainty which might affect the reliability of computed rate of change (Genz et al, 2007). Changes in magnitude of the shoreline movement trend may be missed due to the likelihood of omitting important trends as the temporal variation increases.…”

Section: Work Completedmentioning

confidence: 99%

Coastal and Continental Shelf Processes in Ghana

Wiafe

2010

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LONG-TERM GOALSThe long-term goal is development of the competence of local researchers to carry out scientific investigations into various facets of coastal processes in Ghana through the establishment of a sustainable program at the University of Ghana. The program also seeks to support research in maritime domain awareness through processing of a suite of remotely sensed imageries for maritime surveillance and environmental vulnerability assessment. OBJECTIVES1. To carry out a wide range of in situ measurements in the nearshore zone to facilitate investigation into shoreline change in Ghana 2. To develop capability in analyses of Synthetic Aperture Radar (SAR) imageries to complement research in coastal processes, including detection and analysis of oil spills and maritime traffic in the Gulf of Guinea 3. To investigate the upweling dynamics in the Gulf of Guinea with the purpose of developing a model to simulate this phenomenon. Performance of existing coupled atmospheric-ocean models with meso-scale resolution would be assimilated with data for forecasting. APPROACHGhana's coastline measures about 550 km and is generally a low-lying area below the 30 m contour. It has a continental shelf extending outwards to between 25 and 35 km except off the western coastal area where it reaches up to about 90 km. Waves approach the open coast of Ghana from the southsouthwest direction. The significant wave height at 50% of the time is about 1.4 m and the period is from 10 to 15 seconds (Appeaning et al., 2008).The coastline is experiencing relatively high rates of erosion and has affected the social and economic life of coastal communities; threatened cultural heritage sites (i.e. Forts and Castles), collapsed industries and threatened coastal habitats. The ongoing ONR-supported coastal processes research in the country is the first comprehensive research program of the coastline, using state of the art equipment.

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“…Coastal erosion is a relevant problem that involves both socioeconomic resources and private properties, and its assessment has long been an issue of international interest involving political decision-makers and researchers (Douglas and Crowell, 2000;Phillips and Jones, 2006;Anfuso et al, 2011;Rangel Buitrago and Anfuso, 2015). Historical beach evolution, erosion, and the retreat/accretion of shorelines have been analyzed using aerial and satellite images (e.g., Thieler et al, 2009;Fletcher et al, 2003;Genz et al, 2007;Anfuso et al, 2011;Dolan et al, 1980Dolan et al, , 1991. Each remote image is often used to represent a year, and therefore the "shoreline" position identified and digitalized from each image becomes representative of all shoreline positions in that specific year.…”

Section: Introductionmentioning

confidence: 99%

“…Uncertainties from tides and wave storms (seasonal variability) are linked to the "exact position" of the shoreline during the aerial shooting , whereas measurement uncertainties are linked to errors of image processing and digitizing conducted by technicians who identify and map the shoreline position for several observation years . Several authors (Genz et al, 2007;Rooney et al, 2003;Romine and Fletcher, 2012) used DSAS to evaluate both positioning errors and measurement errors, neglecting the error due to wave run-up and astronomic tide fluctuations. By contrast, other authors (e.g., Virdis et al, 2012;Manca et al, 2013) added to the positioning uncertainty the effects due to wave motion, calculating the run-up by means of the empirical formula of Hunt (1959).…”

Section: Introductionmentioning

confidence: 99%

Uncertainties in shoreline position analysis: the role of run-up and tide in a gentle slope beach

Manno

Ciraolo

2017

Ocean Sci.

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Abstract. In recent decades in the Mediterranean Sea, high anthropic pressure from increasing economic and touristic development has affected several coastal areas. Today the erosion phenomena threaten human activities and existing structures, and interdisciplinary studies are needed to better understand actual coastal dynamics. Beach evolution analysis can be conducted using GIS methodologies, such as the well-known Digital Shoreline Analysis System (DSAS), in which error assessment based on shoreline positioning plays a significant role. In this study, a new approach is proposed to estimate the positioning errors due to tide and wave run-up influence. To improve the assessment of the wave run-up uncertainty, a spectral numerical model was used to propagate waves from deep to intermediate water and a Boussinesqtype model for intermediate water up to the swash zone. Tide effects on the uncertainty of shoreline position were evaluated using data collected by a nearby tide gauge. The proposed methodology was applied to an unprotected, dissipative Sicilian beach far from harbors and subjected to intense human activities over the last 20 years. The results show wave run-up and tide errors ranging from 0.12 to 4.5 m and from 1.20 to 1.39 m, respectively.

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The Predictive Accuracy of Shoreline Change Rate Methods and Alongshore Beach Variation on Maui, Hawaii

Cited by 214 publications

References 9 publications

Assessment of shoreline changes along the Lithuanian Baltic Sea coast during the period 1947–2010

Assessment of shoreline changes along the Lithuanian Baltic Sea coast during the period 1947–2010

Coastal and Continental Shelf Processes in Ghana

Uncertainties in shoreline position analysis: the role of run-up and tide in a gentle slope beach

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