Extracting storm-surge data from coastal dunes for improved assessment of flood risk

Cunningham, Alastair; Bakker, M.A.J.; Heteren, Sytze van; Valk, Bert van der; Spek, A.J.F. van der; Schaart, Dennis R.; Wallinga, Jakob

doi:10.1130/g32244.1

Cited by 56 publications

(45 citation statements)

References 22 publications

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“…This could arise through the localised concentrations of beta sources in sediment (e.g. feldspars or zircons, Mayya et al, 2006), or through the presence of macro bodies of non-radioactive material (Nathan et al, 2003, Cunningham et al, 2011a.…”

Section: The σ B Parametermentioning

confidence: 99%

Realizing the potential of fluvial archives using robust OSL chronologies

Cunningham

Wallinga

2012

Quaternary Geochronology

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122

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Optically Stimulated Luminescence (OSL) dating has enormous potential for interpreting fluvial sediments, because the mineral grains used for OSL dating are abundant in fluvial deposits. However, the limited light exposure of mineral grains during fluvial transport and deposition often leads to scatter and inaccuracy in OSL dating results. Here we present a statistical protocol which aims to overcome these difficulties. Rather than estimating a single burial age for a sample, we present ages as likelihood functions created by bootstrap resampling of the equivalent-dose data. The bootstrap likelihoods incorporate uncertainty from age-model parameters and plausible variation in the input data. This approach has the considerable advantage that it permits Bayesian methods to be used to interpret sequences containing multiple samples, including partially bleached OSL data. We apply the statistical protocol to both single-grain and small-aliquot OSL data from samples of recent fluvial sediment. The combination of bootstrap likelihoods and Bayesian processing may greatly improve OSL chronologies for fluvial sediment, and allow OSL ages from partially bleached samples to be combined with other age information. The combination of bootstrap likelihoods and Bayesian processing may greatly improve OSL chronologies for fluvial sediment, and allow OSL ages from partially bleached samples to be combined with other age information.

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Section: The σ B Parametermentioning

confidence: 99%

Realizing the potential of fluvial archives using robust OSL chronologies

Cunningham

Wallinga

2012

Quaternary Geochronology

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122

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“…This code has previously been applied to problems of dose determination in sediment (Nathan et al, 2003;Cunningham et al, 2011).…”

Section: Monte Carlo Simulationsmentioning

confidence: 99%

“…OSL measurements followed a single-aliquot regenerativedose protocol (Murray and Wintle, 2000), modified for single-grains from young samples following Ballarini et al (2007), and equivalent to the multi-grain protocol used to date the same quartz (Cunningham et al, 2011). The details are given in Table 1.…”

Section: Osl Measurementsmentioning

confidence: 99%

“…Nathan et al (2003) investigated the influence of macrobodies within artificial sediment, and showed the benefit of Monte Carlo techniques when combined with experimental methods. Monte Carlo methods have also proven useful in determining the mean dose rate, regardless of scatter between grains (Grine et al, 2007;Cunningham et al, 2011). Kalchgruber et al (2003) and Nathan et al (2003) also performed experimental measurements of dose rate heterogeneity, using grains of Al 2 O 3 :C to record the dose in natural or artificial sediment over a period of time.…”

Section: Introductionmentioning

confidence: 99%

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Experimental and computational simulation of beta-dose heterogeneity in sediment

Cunningham

DeVries

Schaart

2012

Radiation Measurements

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. (2012). Experimental and computational simulation of beta-dose heterogeneity in sediment. Radiation Measurements,, 1060-1067. Experimental and computational simulation of beta-dose heterogeneity in sediment AbstractInterpreting the spread in equivalent-dose estimates is an important aspect of optically stimulated luminescence (OSL) dating. Ideally, prior to age estimation, an assessment should be made of the likely spread in equivalent dose due to dose-rate heterogeneity in the sediment. Such a procedure would greatly increase the validity of OSL ages, particularly for sediments susceptible to partial bleaching, and for sediments with coarse or poorly sorted grain-size distributions. In this paper we take a step towards a general model of doserate heterogeneity by simulating the 40K-derived beta dose to quartz. We present an experimental simulation of the 40K beta dose, and compare the results with a Monte Carlo simulation of the same experiment. The experiment uses artificially produced 24Na to simulate the 40K beta dose to quartz, allowing a large, heterogeneous dose to be administered in a short period of time. The Monte Carlo simulation correctly predicts the shape of the equivalent-dose distribution, but underestimates the spread in dose received by different grains. The experimental set-up provides a new avenue of research into beta-dose heterogeneity. AbstractInterpreting the spread in equivalent-dose estimates is an important aspect of optically stimulated luminescence (OSL) dating. Ideally, prior to age estimation, an assessment should be made of the likely spread in equivalent dose due to dose-rate heterogeneity in the sediment. Such a procedure would greatly increase the validity of OSL ages, particularly for sediments susceptible to partial bleaching, and for sediments with coarse or poorly sorted grain-size distributions. In this paper we take a step towards a general model of dose-rate heterogeneity by simulating the 40 K-derived beta dose to quartz. We present an experimental simulation of the 40 K beta dose, and compare the results with a Monte Carlo simulation of the same experiment. The experiment uses artificially produced 24 Na to simulate the 40 K beta dose to quartz, allowing a large, heterogeneous dose to be administered in a short period of time. The Monte Carlo simulation correctly predicts the shape of the equivalent-dose distribution, but underestimates the spread in dose received by different grains. The experimental set-up provides a new avenue of research into beta-dose heterogeneity.

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“…The layers consisted of sand, shells and bricks. Details of the layers and the associated reconstruction were provided by Cunningham et al (2011). Luminescence dating placed the storm-surge layers at the end of the 18th century (Cunningham et al, 2009).…”

Section: Available Data 1775 Stormmentioning

confidence: 99%

Using 18th century storm-surge data from the Dutch Coast to improve the confidence in flood-risk estimates

Baart

Bakker

Dongeren

et al. 2011

Nat. Hazards Earth Syst. Sci.

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Abstract. For the design of cost-effective coastal defence a precise estimate is needed of the 1 /10 000 per year storm surge. A more precise estimate requires more observations. Therefore, the three greatest storm surges that hit the northern part of the Holland Coast in the 18th century are reconstructed. The reconstructions are based on paintings, drawings, written records and shell deposits that have recently appeared. The storm-surge levels of these storms have been estimated using numerical modelling of the coastal processes. Here we show how these reconstructions can be used in combination with extreme value statistics to give a more confident estimate of low probability events.

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Extracting storm-surge data from coastal dunes for improved assessment of flood risk

Cited by 56 publications

References 22 publications

Realizing the potential of fluvial archives using robust OSL chronologies

Realizing the potential of fluvial archives using robust OSL chronologies

Experimental and computational simulation of beta-dose heterogeneity in sediment

Using 18th century storm-surge data from the Dutch Coast to improve the confidence in flood-risk estimates

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