2022
DOI: 10.1016/j.csr.2022.104802
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Modeling the effects of aerial temperature and exposure period on intertidal mudflat profiles

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Cited by 2 publications
(4 citation statements)
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“…The complexity of determining bed stability is illustrated by a comparison between imposed τcr and measured soil shear strength (Figure 4b), which only could partly be explained with a linear fit ( p = 0.06, r 2 = 0.37). This complexity stems from the spatial and temporal variability in surface sediment stability (Nguyen et al, 2022). Moreover, soil shear strength measurements in the field are not only taken at a specific point in time, they are also highly variable depending on the exact location in relation to the presence of e.g., trees, bed runnels and ponding water.…”
Section: Discussionmentioning
confidence: 99%
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“…The complexity of determining bed stability is illustrated by a comparison between imposed τcr and measured soil shear strength (Figure 4b), which only could partly be explained with a linear fit ( p = 0.06, r 2 = 0.37). This complexity stems from the spatial and temporal variability in surface sediment stability (Nguyen et al, 2022). Moreover, soil shear strength measurements in the field are not only taken at a specific point in time, they are also highly variable depending on the exact location in relation to the presence of e.g., trees, bed runnels and ponding water.…”
Section: Discussionmentioning
confidence: 99%
“…This approach has been adopted in recent numerical modelling studies in vegetated intertidal environments (e.g., Willemsen, Smits, et al, 2022;Xie et al, 2020Xie et al, , 2022. The present study included variability in the sediment bed stability of the intertidal flat due to aerial exposure (e.g., drying and/or biofilm presence) following Nguyen et al (2020), who found that longer periods of aerial exposure lead to sustained increases in sediment bed stability (Fagherazzi et al, 2017;Nguyen et al, 2022). The present study also included the effects of mangrove trees on tides, waves and sediment dynamics.…”
Section: Model Setupmentioning
confidence: 99%
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