ORCID Profile
0000-0003-1405-7510
Current Organisation
University of Queensland
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Research Topics
In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Top 5 Research Topics
ANZSRC Field of Research (FoR)
Maritime Engineering | Ocean Engineering | Civil Engineering not elsewhere classified | Physical Oceanography | Marine and Estuarine Ecology (incl. Marine Ichthyology) | Natural Hazards | Civil Geotechnical Engineering | Infrastructure Engineering and Asset Management | Environmental Technologies | Structural Engineering | Environmental Engineering Design | Environmental Engineering Modelling | Civil Engineering |
ANZSRC Socio-Economic Objective (SEO)
Natural Hazards in Coastal and Estuarine Environments | Environmentally Sustainable Construction not elsewhere classified | Tourism Infrastructure Development | Coastal and Estuarine Land Management | Climate Change Adaptation Measures | Land and water management | Fisheries - Aquaculture not elsewhere classified | Civil | Marine Oceanic Processes (excl. climate related) | Estuarine and lagoon areas | Coastal and Estuarine Water Management
Related Links
Publications
Laboratory investigation of the Bruun Rule and beach response to sea level rise
Publisher: Elsevier BV
Date: 06-2018
Water residence time controls the feedback between seagrass, sediment and light: Implications for restoration
Publisher: Elsevier BV
Date: 07-2018
The impact of various methods of wave transfers from deep water to nearshore when determining extreme beach erosion
Publisher: Elsevier BV
Date: 04-2013
Communicating physics-based wave model predictions of coral reefs using Bayesian belief networks
Publisher: Elsevier BV
Date: 10-2018
Identifying Hydro-Geomorphological Conditions for State Shifts from Bare Tidal Flats to Vegetated Tidal Marshes
Publisher: MDPI AG
Date: 18-07-2020
DOI: 10.3390/RS12142316
Abstract: High-lying vegetated marshes and low-lying bare mudflats have been suggested to be two stable states in intertidal ecosystems. Being able to identify the conditions enabling the shifts between these two stable states is of great importance for ecosystem management in general and the restoration of tidal marsh ecosystems in particular. However, the number of studies investigating the conditions for state shifts from bare mudflats to vegetated marshes remains relatively low. We developed a GIS approach to identify the locations of expected shifts from bare intertidal flats to vegetated marshes along a large estuary (Western Scheldt estuary, SW Netherlands), by analyzing the interactions between spatial patterns of vegetation biomass, elevation, tidal currents, and wind waves. We analyzed false-color aerial images for locating marshes, LIDAR-based digital elevation models, and spatial model simulations of tidal currents and wind waves at the whole estuary scale (~326 km²). Our results demonstrate that: (1) Bimodality in vegetation biomass and intertidal elevation co-occur (2) the tidal currents and wind waves change abruptly at the transitions between the low-elevation bare state and high-elevation vegetated state. These findings suggest that biogeomorphic feedback between vegetation growth, currents, waves, and sediment dynamics causes the state shifts from bare mudflats to vegetated marshes. Our findings are translated into a GIS approach (logistic regression) to identify the locations of shifts from bare to vegetated states during the studied period based on spatial patterns of elevation, current, and wave orbital velocities. This GIS approach can provide a scientific basis for the management and restoration of tidal marshes.
Flow interaction with dynamic vegetation patches: Implications for biogeomorphic evolution of a tidal landscape
Publisher: American Geophysical Union (AGU)
Date: 16-02-2011
DOI: 10.1029/2010JF001788
Discussion of “Modelling significant wave height distributions with quantile functions for estimation of extreme wave heights” [Ocean Eng. 54 (2012) 119–131]
Publisher: Elsevier BV
Date: 09-2013
Mobilisation thresholds for coral rubble and consequences for windows of reef recovery
Publisher: Copernicus GmbH
Date: 24-10-2023
Seagrass losses since mid‐20th century fuelled CO2 emissions from soil carbon stocks
Publisher: Wiley
Date: 07-07-2020
DOI: 10.1111/GCB.15204
Probabilistic modelling of extreme storms along the Dutch coast
Publisher: Elsevier BV
Date: 04-2014
Wave modelling as a proxy for seagrass ecological modelling: Comparing fetch and process-based predictions for a bay and reef lagoon
Publisher: Elsevier BV
Date: 02-2015
Determining the Shoreline Retreat Rate of Australia Using Discrete and Hybrid Bayesian Networks
Publisher: American Geophysical Union (AGU)
Date: 06-2021
DOI: 10.1029/2021JF006112
Abstract: Evaluating shoreline retreat rate (SRR) on different spatial‐temporal scales is critical for effective coastal management. Large‐scale evaluations typically rely on data‐driven methods such as Discrete Bayesian networks (BNs). However, these BNs require discretization of continuous variables which can lead to information loss. Here, we propose a new method, the Hybrid BN to incorporate continuous variables without discretization. Both Discrete and Hybrid BNs were developed and compared to evaluate large‐scale (continental scale) SRR in Australia, using Digital Earth Australia data set. These BNs used forcing parameters (e.g., waves, tide, sediment sink/source, and sea level rise [SLR]) and geomorphic settings (e.g., geomorphology, backshore profile, and surfzone slope) to predict SRR. Validation of the BNs showed that Hybrid BNs, which provide a more realistic assessment of the range of SRR, outperform in predicting continuous variables, when compared with Discrete BNs. However, Discrete and Hybrid BNs provide consistent qualitative findings for the SRR of Australia. Among forcing parameters, the sediment sink/source was found to be the most informative variable to indicate the shoreline retreat, followed by tide, SLR rate, and wave processes. In the scenario of an increased SLR rate, tropical tidal flats were predicted as the most at risk coasts in Australia. We found that BNs can reflect the impact of different factors on coastal evolution, and predict future shoreline change by exploring historical data. The performance of these models can be further improved when more data sets become available.
Interdependency of tropical marine ecosystems in response to climate change
Publisher: Springer Science and Business Media LLC
Date: 22-06-2014
DOI: 10.1038/NCLIMATE2274
Hydrodynamic forcing on salt-marsh development: Distinguishing the relative importance of waves and tidal flows
Publisher: Elsevier BV
Date: 09-2010
Coastal retreat and improved water quality mitigate losses of seagrass from sea level rise
Publisher: Wiley
Date: 14-05-2013
DOI: 10.1111/GCB.12218
Abstract: The distribution and abundance of seagrass ecosystems could change significantly over the coming century due to sea level rise (SLR). Coastal managers require mechanistic understanding of the processes affecting seagrass response to SLR to maximize their conservation and associated provision of ecosystem services. In Moreton Bay, Queensland, Australia, vast seagrass meadows supporting populations of sea turtles and dugongs are juxtaposed with the multiple stressors associated with a large and rapidly expanding human population. Here, the interactive effects of predicted SLR, changes in water clarity, and land use on future distributions of seagrass in Moreton Bay were quantified. A habitat distribution model of present day seagrass in relation to benthic irradiance and wave height was developed which correctly classified habitats in 83% of cases. Spatial predictions of seagrass and presence derived from the model and bathymetric data were used to initiate a SLR inundation model. Bathymetry was iteratively modified based on SLR and sedimentary accretion in seagrass to simulate potential seagrass habitat at 10 year time steps until 2100. The area of seagrass habitat was predicted to decline by 17% by 2100 under a scenario of SLR of 1.1 m. A scenario including the removal of impervious surfaces, such as roads and houses, from newly inundated regions, demonstrated that managed retreat of the shoreline could potentially reduce the overall decline in seagrass habitat to just 5%. The predicted reduction in area of seagrass habitat could be offset by an improvement in water clarity of 30%. Greater improvements in water clarity would be necessary for larger magnitudes of SLR. Management to improve water quality will provide present and future benefits to seagrasses under climate change and should be a priority for managers seeking to compensate for the effects of global change on these valuable habitats.
Organism traits determine the strength of scale-dependent bio-geomorphic feedbacks: A flume study on three intertidal plant species
Publisher: Elsevier BV
Date: 2013
Assessment of runup predictions by empirical models on non-truncated beaches on the south-east Australian coast
Publisher: Elsevier BV
Date: 2017
A Framework for Modelling Shoreline Response to Clustered Storm Events: A Case Study from Southeast Australia
Publisher: Coastal Education and Research Foundation
Date: 03-03-2016
DOI: 10.2112/SI75-240.1
Comparison of the influence of patch-scale and meadow-scale characteristics on flow within seagrass meadows: a flume study
Publisher: Inter-Research Science Center
Date: 03-12-2014
DOI: 10.3354/MEPS10873
An evaluation of methods available for quantifying extreme beach erosion
Publisher: Springer Science and Business Media LLC
Date: 03-09-2014
Mobilisation thresholds for coral rubble and consequences for windows of reef recovery
Publisher: Copernicus GmbH
Date: 16-02-2023
DOI: 10.5194/BG-2023-2
Abstract: Abstract. The proportional cover of rubble on reefs is predicted to increase as disturbances increase in intensity and frequency. Unstable rubble can kill coral recruits and impair binding processes that consolidate rubble into a stable substrate for coral recruitment. A clearer understanding of the mechanisms of inhibited coral recovery on rubble requires characterisation of the hydrodynamic conditions that trigger rubble mobilisation. Here, we investigated rubble mobilisation under regular wave conditions in a wave flume and irregular wave conditions in-situ on a coral reef in the Mal es. We examined how changes in near-bed wave orbital velocity influenced the likelihood of rubble motion (e.g., rocking) and transport (by walking, sliding or flipping). Rubble mobilisation was considered as a function of rubble length, branchiness (branched vs. unbranched), and underlying substrate (rubble vs. sand). Rubble was more likely to be transported if ieces were small (4–8 cm) and had no branches, and rubble travelled slightly greater distances (~2 cm) per day on substrates composed of sand than rubble. The effect of near-bed wave orbital velocity on rubble mobilisation was comparable between flume and reef observations. Rubble had a 50 % and 90 % chance of transport when near-bed wave orbital velocities reached 0.30 m/s and 0.43 m/s, respectively, in the wave flume, and 0.34 m/s and 0.55 m/s, respectively, on the reef. Importantly, the probability of rubble transport per day declined over 3-day deployments in the field, suggesting rubble had settled into more hydrodynamically-stable positions or snagged on the first day of deployment. We expect that settled or snagged rubble may have been mobilised more commonly in locations with higher energy and more variable wave environments. Our results show that rubble beds comprised of small rubble pieces and/or pieces with fewer branches are likely to be more unstable. Such rubble beds are likely to have shorter windows of recovery (stability) between mobilisation events, and thus be good candidates for rubble stabilisation interventions to enhance coral recruitment and binding.
Prioritizing localized management actions for seagrass conservation and restoration using a species distribution model
Publisher: Wiley
Date: 07-07-2015
DOI: 10.1002/AQC.2573
Assessing flood hazard changes using climate model forcing
Publisher: Copernicus GmbH
Date: 05-04-2022
Abstract: Abstract. A modelling framework for using regional climate projections to assess flooding hazard has been developed and applied to the Gwydir River (catchment 26,600 km2 and floodplain 8,100 km2), NSW, Australia. The model framework uses NSW and ACT Regional Climate Modelling version 1.5 projections combined with computationally efficient hydrologic and hydraulic models. While requiring model management and high-performance computing resources, the modelling framework successfully processed 18 regional climate projections into flood projections. Specifically, a six-member set of climate model combinations simulating a historical period (1950–2006) and a future period (2006–2100) under two global emission pathways (RCP4.5 and RP8.5) were used to predict flood depth and speed. In total, 1,470 continuous years were simulated at hourly time step. These flood (depth and speed) projections were analysed to assess the flood hazard changes under future climate scenarios by estimating changes in the annual probability of occurrence of a range of flood hazard classes. The six-member ensemble indicates flood hazard in the Gwydir Valley will decrease in the short, medium and long term. There are also cases within the ensemble which includes increases in all non-safe flood hazard classification while decreasing the safe flood hazard classification.
Transient dynamics of storm surges and other forced long waves
Publisher: Elsevier BV
Date: 06-2008
Atoll lagoon flushing forced by waves
Publisher: Elsevier BV
Date: 06-2006
Shear stress and sediment transport calculations for sheet flow under waves
Publisher: Elsevier BV
Date: 2003
Observations of wave pump efficiency
Publisher: Elsevier BV
Date: 2008
Moving from deterministic towards probabilistic coastal hazard and risk assessment: Development of a modelling framework and application to Narrabeen Beach, New South Wales, Australia
Publisher: Elsevier BV
Date: 02-2015
Data and analysis report: Manihiki and Rakahanga, Northern Cook Islands - for February and October/November 2004 research trips
Publisher: The University of Queensland, Department of Civil Engineering
Date: 09-2005
DOI: 10.14264/7737
Short-term mudflat dynamics drive long-term cyclic salt marsh dynamics
Publisher: Wiley
Date: 03-08-2016
DOI: 10.1002/LNO.10374
Reconciling Development and Conservation under Coastal Squeeze from Rising Sea Level
Publisher: Wiley
Date: 17-12-2015
DOI: 10.1111/CONL.12213
Statistical simulation of wave climate and extreme beach erosion
Publisher: Elsevier BV
Date: 05-2008
Probabilistic estimation of coastal dune erosion and recession by statistical simulation of storm events
Publisher: Elsevier BV
Date: 08-2014
Tropical cyclone wind field asymmetry—Development and evaluation of a new parametric model
Publisher: American Geophysical Union (AGU)
Date: 2017
DOI: 10.1002/2016JC012237
An empirical exploration of metacognitive assessment activities in a third-year civil engineering hydraulics course
Publisher: Informa UK Limited
Date: 14-11-2014
Numerical solutions of the sediment conservation law; a review and improved formulation for coastal morphological modelling
Publisher: Elsevier BV
Date: 05-2006
Surf Zone States and Energy Dissipation Regimes — A Similarity Model
Publisher: Informa UK Limited
Date: 03-2013
Probabilistic estimation of storm erosion using analytical, semi-empirical, and process based storm erosion models
Publisher: Elsevier BV
Date: 12-2013
Momentum transfer under laboratory wind waves
Publisher: Elsevier BV
Date: 03-2017
Quantifying the storm erosion hazard for coastal planning
Publisher: Elsevier BV
Date: 2009
Impact of sea-level rise and coral mortality on the wave dynamics and wave forces on barrier reefs
Publisher: Elsevier BV
Date: 06-2014
DOI: 10.1016/J.MARPOLBUL.2014.03.058
Abstract: A one-dimensional wave model was used to investigate the reef top wave dynamics across a large suite of idealized reef-lagoon profiles, representing barrier coral reef systems under different sea-level rise (SLR) scenarios. The modeling shows that the impacts of SLR vary spatially and are strongly influenced by the bathymetry of the reef and coral type. A complex response occurs for the wave orbital velocity and forces on corals, such that the changes in the wave dynamics vary reef by reef. Different wave loading regimes on massive and branching corals also leads to contrasting impacts from SLR. For many reef bathymetries, wave orbital velocities increase with SLR and cyclonic wave forces are reduced for certain coral species. These changes may be beneficial to coral health and colony resilience and imply that predicting SLR impacts on coral reefs requires careful consideration of the reef bathymetry and the mix of coral species.
Threshold concepts as a focus for metalearning activity: application of a research-developed mechanism in undergraduate engineering
Publisher: Informa UK Limited
Date: 03-03-2015
Measurement and modelling of the influence of grain size and pressure gradient on swash uprush sediment transport
Publisher: Elsevier BV
Date: 2014
Identifying threshold concepts: case study of an open catchment hydraulics course
Publisher: Informa UK Limited
Date: 15-10-2013
Introducing ‘Concept Question’ writing assignments into upper-level engineering courses
Publisher: Informa UK Limited
Date: 16-07-2021
Statistical modelling of the barrier height fronting a coastal lagoon and the impact of sea-level rise
Publisher: Elsevier BV
Date: 05-2013
Probabilistic modeling of wave climate and predicting dune erosion
Publisher: Coastal Education and Research Foundation
Date: 02-01-2013
DOI: 10.2112/SI65-129.1
Assessing Storm Erosion Hazards
Publisher: Wiley
Date: 08-04-0001
Improving storm surge estimates: Increased downwards transfer of horizontal momentum by wind-driven waves
Publisher: Elsevier BV
Date: 02-2012
Assessing flood hazard changes using climate model forcing
Publisher: Copernicus GmbH
Date: 08-2022
DOI: 10.5194/NHESS-22-2459-2022
Abstract: Abstract. A modelling framework for using regional climate projections to assess flooding hazard has been developed and applied to the Gwydir River (catchment 26 600 km2 and floodplain 8100 km2), NSW, Australia. The model framework uses NSW and ACT Regional Climate Modelling version 1.5 projections combined with computationally efficient hydrologic and hydraulic models. Although it required model management and high-performance computing resources, the modelling framework successfully processed 18 regional climate projections into flood projections. Specifically, a six-member set of climate model combinations simulating a historical period (1951–2005) and a future period (2006–2100) under two global emission pathways (RCP4.5 and RP8.5) were used to predict flood depth and speed. In total, 1470 continuous years were simulated at hourly time steps. These flood (depth and speed) projections were analysed to assess the flood hazard changes under future climate scenarios by estimating changes in the annual probability of occurrence of a range of flood hazard classes. The six-member ensemble indicates that the flood hazard in the Gwydir Valley will decrease in the short, medium and long term. There are also cases within the ensemble, which includes increases in all non-safe flood hazard classifications while decreasing the safe flood hazard classification.
Impact of sea-level rise on cross-shore sediment transport on fetch-limited barrier reef island beaches under modal and cyclonic conditions
Publisher: Elsevier BV
Date: 08-2015
DOI: 10.1016/J.MARPOLBUL.2015.06.017
Abstract: A one-dimensional wave model is combined with an analytical sediment transport model to investigate the likely influence of sea-level rise on net cross-shore sediment transport on fetch-limited barrier reef and lagoon island beaches. The modelling considers if changes in the nearshore wave height and wave period in the lagoon induced by different water levels over the reef flat are likely to lead to net offshore or onshore movement of sediment. The results indicate that the effects of SLR on net sediment movement are highly variable and controlled by the bathymetry of the reef and lagoon. A significant range of reef-lagoon bathymetry, and notably shallow and narrow reefs, appears to lead hydrodynamic conditions and beaches that are likely to be stable or even accrete under SLR. Loss of reef structural complexity, particularly on the reef flat, increases the chance of sediment transport away from beaches and offshore.
Resilience of branching and massive corals to wave loading under sea level rise – A coupled computational fluid dynamics-structural analysis
Publisher: Elsevier BV
Date: 09-2014
DOI: 10.1016/J.MARPOLBUL.2014.07.038
Abstract: Measurements of coral structural strength are coupled with a fluid dynamics-structural analysis to investigate the resilience of coral to wave loading under sea level rise and a typical Great Barrier Reef lagoon wave climate. The measured structural properties were used to determine the wave conditions and flow velocities that lead to structural failure. Hydrodynamic modelling was subsequently used to investigate the type of the bathymetry where coral is most vulnerable to breakage under cyclonic wave conditions, and how sea level rise (SLR) changes this vulnerability. Massive corals are determined not to be vulnerable to wave induced structural damage, whereas branching corals are susceptible at wave induced orbital velocities exceeding 0.5m/s. Model results from a large suite of idealised bathymetry suggest that SLR of 1m or a loss of skeleton strength of order 25% significantly increases the area of reef flat where branching corals are exposed to damaging wave induced flows.
Downward transfer of momentum by wind-driven waves
Publisher: Elsevier BV
Date: 12-2011
Improved treatment of non-stationary conditions and uncertainties in probabilistic models of storm wave climate
Publisher: Elsevier BV
Date: 09-2017
Transient wave behaviour over an underwater sliding hump from experiments and analytical and numerical modelling
Publisher: Springer Science and Business Media LLC
Date: 19-08-2011
An argument for probabilistic coastal hazard assessment: Retrospective examination of practice in New South Wales, Australia
Publisher: Elsevier BV
Date: 07-2014
Estimating coastal recession due to sea level rise: beyond the Bruun rule
Publisher: Springer Science and Business Media LLC
Date: 10-06-2011
Supplementary material to Mobilisation thresholds for coral rubble and consequences for windows of reef recovery
Publisher: Copernicus GmbH
Date: 16-02-2023
Feedback between sediment and light for seagrass: Where is it important?
Publisher: Wiley
Date: 24-06-2016
DOI: 10.1002/LNO.10319
Coral reef habitat mapping: A combination of object-based image analysis and ecological modelling
Publisher: Elsevier BV
Date: 04-2018
Coastal Field Research Facility: The Spit, Gold Coast, Australia
Publisher: The University of Queensland, School of Civil Engineering
Date: 25-05-2009
DOI: 10.14264/177909
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