ORCID Profile
0000-0002-8489-7526
Current Organisations
Istituto di Astrofisica e Planetologia Spaziali
,
Griffith University Griffith Sciences
Does something not look right? The information on this page has been harvested from data sources that may not be up to date. We continue to work with information providers to improve coverage and quality. To report an issue, use the Feedback Form.
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)
Natural Hazards | Ocean Engineering | Physical Oceanography | Maritime Engineering
ANZSRC Socio-Economic Objective (SEO)
Climate Change Adaptation Measures | Marine Oceanic Processes (excl. climate related) | Natural Hazards in Coastal and Estuarine Environments |
Related Links
Publications
Prediction of pile group scour in waves using support vector machines and ANN
Publisher: IWA Publishing
Date: 09-11-2010
Abstract: Scour around pile groups is rather complicated and not yet fully understood due to the fact that it arises from the triple interaction of fluid–structure–seabed. In this study, two data mining approaches, i.e. Support Vector Machines (SVM) and Artificial Neural Networks (ANN), were applied to estimate the wave-induced scour depth around pile groups. To consider various arrangements of pile groups in the development of the models, datasets collected in the field and laboratory studies were used and arrangement parameters were considered in the models. Several non-dimensional controlling parameters, including the Keulegan–Carpenter number, pile Reynolds number, Shield's parameter, sediment number, gap to diameter ratio and number of piles were used as the inputs. Performances of the developed SVM and ANN models were compared with those of existing empirical methods. Results indicate that the data mining approaches used outperform empirical methods in terms of accuracy. They also indicate that SVM will provide a better estimation of scour depth than ANN (back-propagation/multi-layer perceptron). Sensitivity analysis was also carried out to investigate the relative importance of non-dimensional parameters. It was found that the Keulegan–Carpenter number and gap to diameter ratio have the greatest effect on the equilibrium scour depth around pile groups.
Closure to “Revisiting Longshore Sediment Transport Formulas” by Saeed Shaeri, Amir Etemad-Shahidi, and Rodger Tomlinson
Publisher: American Society of Civil Engineers (ASCE)
Date: 07-2021
Individual wave overtopping at coastal structures: A critical review and the existing challenges
Publisher: Elsevier BV
Date: 2021
Uncertainties in wave-driven longshore sediment transport projections presented by a dynamic CMIP6-based ensemble
Publisher: Frontiers Media SA
Date: 21-08-2023
DOI: 10.3389/FMARS.2023.1188136
Abstract: In this study four experiments were conducted to investigate uncertainty in future longshore sediment transport (LST) projections due to: working with continuous time series of CSIRO CMIP6-driven waves (experiment #1) or sliced time series of waves from CSIRO-CMIP6-Ws and CSIRO-CMIP5-Ws (experiment #2) different wave-model-parametrization pairs to generate wave projections (experiment #3) and the inclusion/exclusion of sea level rise (SLR) for wave transformation (experiment #4). For each experiment, a weighted ensemble consisting of offshore wave forcing conditions, a surrogate model for nearshore wave transformation and eight LST models was used. The results of experiment # 1 indicated that the annual LST rates obtained from a continuous time series of waves were influenced by climate variability acting on timescales of 20-30 years. Uncertainty decomposition clearly reveals that for near-future coastal planning, a large part of the uncertainty arises from model selection and natural variability of the system (e.g., on average, 4% scenario, 57% model, and 39% internal variability). For the far future, the total uncertainty consists of 25% scenario, 54% model and 21% internal variability. Experiment #2 indicates that CMIP6 driven wave climatology yield similar outcomes to CMIP5 driven wave climatology in that LST rates decrease along the study area’s coast by less than 10%. The results of experiment #3 indicate that intra- and inter-annual variability of LST rates are influenced by the parameterization schemes of the wave simulations. This can increase the range of uncertainty in the LST projections and at the same time can limit the robustness of the projections. The inclusion of SLR (experiment #4) in wave transformation, under SSP1-2.6 and SSP5-8.5 scenarios, yields only meagre changes in the LST projections, compared to the case no SLR. However, it is noted that future research on SLR influence should include potential changes in nearshore profile shapes.
Scour prediction in long contractions using ANFIS and SVM
Publisher: Elsevier BV
Date: 2016
Wave data assimilation using a hybrid approach in the Persian Gulf
Publisher: Springer Science and Business Media LLC
Date: 14-03-2012
Assessment of wave energy variation in the Persian Gulf
Publisher: Elsevier BV
Date: 09-2013
Anatomy of turbulence in thermally stratified lakes
Publisher: Wiley
Date: 07-2001
Salinity intrusion length: comparison of different approaches
Publisher: Thomas Telford Ltd.
Date: 03-2011
DOI: 10.1680/MAEN.2011.164.1.33
Abstract: Salinity is an important parameter influencing the water quality of estuaries. Prediction of salt intrusion length in estuaries is a challenge for managers as well as scientists in this field. Several numerical and empirical models have been developed for the prediction of salt intrusion length in recent decades. The aim of this study is to evaluate the performance of empirical models in the Arvand river estuary in south-west Iran. A laterally averaged, two-dimensional hydrodynamics–water quality model called CE-QUAL-W2 was used for numerical simulations. Salt intrusion lengths under different discharge and tidal conditions were first predicted by the validated numerical model, then the semi-empirical models were applied to the same hydrological/tidal conditions. From the comparison of the results, it was found that the model of Savenije, that properly considers the variation of bathymetry along the estuary, outperformed the others and could be used as a rapid assessment tool in the Arvand river estuary.
Evaluation of Different Wind Fields for Storm Surge Modeling in the Persian Gulf
Publisher: Coastal Education and Research Foundation
Date: 26-08-2016
Wave overtopping at berm breakwaters: Experimental study and development of prediction formula
Publisher: Elsevier BV
Date: 12-2017
DESIGN OF RUBBLE-MOUND BREAKWATER: INTRODUCING A FORMULA FOR THE PERMEABILITY
Publisher: Coastal Engineering Research Council
Date: 30-10-2014
Anatomy of turbulence in a narrow and weakly stratified estuary
Publisher: CSIRO Publishing
Date: 2002
DOI: 10.1071/MF01201
A multi-model ensemble to investigate uncertainty in the estimation of wave-driven longshore sediment transport patterns along a non-straight coastline
Publisher: Elsevier BV
Date: 04-2022
Inter- and intra-annual variability of potential power production from wave energy converters
Publisher: Elsevier BV
Date: 02-2019
Diapycnal Mixing in the Thermocline of Lakes: Estimations by Different Methods
Publisher: Springer Science and Business Media LLC
Date: 06-2006
Anatomy of turbulence in a narrow and strongly stratified estuary
Publisher: American Geophysical Union (AGU)
Date: 07-2002
DOI: 10.1029/2001JC000977
Prediction of mean wave overtopping at simple sloped breakwaters using kernel-based methods
Publisher: IWA Publishing
Date: 16-08-2021
Abstract: The accurate prediction of the mean wave overtopping rate at breakwaters is vital for a safe design. Hence, providing a robust tool as a preliminary estimator can be useful for practitioners. Recently, soft computing tools such as artificial neural networks (ANN) have been developed as alternatives to traditional overtopping formulae. The goal of this paper is to assess the capabilities of two kernel-based methods, namely Gaussian process regression (GPR) and support vector regression for the prediction of mean wave overtopping rate at sloped breakwaters. An extensive dataset taken from the EurOtop database, including rubble mound structures with permeable core, straight slopes, without berm, and crown wall, was employed to develop the models. Different combinations of the important dimensionless parameters representing structural features and wave conditions were tested based on the sensitivity analysis for developing the models. The obtained results were compared with those of the ANN model and the existing empirical formulae. The modified Taylor diagram was used to compare the models graphically. The results showed the superiority of kernel-based models, especially the GPR model over the ANN model and empirical formulae. In addition, the optimal input combination was introduced based on accuracy and the number of input parameters criteria. Finally, the physical consistencies of developed models were investigated, the results of which demonstrated the reliability of kernel-based models in terms of delivering physics of overtopping phenomenon.
THE COMPARISON OF EMPIRICAL FORMULAE FOR THE PREDICTION OF MEAN WAVE OVERTOPPING RATE AT ARMORED SLOPED STRUCTURES
Publisher: Coastal Engineering Research Council
Date: 28-12-2020
DOI: 10.9753/ICCE.V36V.STRUCTURES.22
Abstract: Armored sloped structures are generally used to provide the safety of their lee side, i. e. harbours and coastal regions against wave attacks and storm surge. Recently, due to the potential impact of climate change, increasing emphasis has been placed on their hydraulic performance (e.g. Pillai et al. 2019). Thus, accurate estimation of wave overtopping rate, as the hydraulic response of coastal structures, has an important role in design. Wave overtopping is a complex phenomenon and depends on structural geometry and wave characteristics. Hence, empirical formulae are generally used for estimation of mean overtopping rate. These formulae have been derived from laboratory measurements in which the dimensionless measured overtopping rates are correlated with the dimensionless structural and hydraulic parameters through physical arguments. The most well-known formulae for wave overtopping prediction can be found in the Coastal Engineering Manual (2012) and European Overtopping Manual (EurOtop, 2018). The CLASH database as one of the most comprehensive datasets, was initially provided by De Rouck and Geeraerts (2005). This data base was recently updated by including more test results (EurOtop, 2018). However, a detailed comparison of formulae proposed for the estimation of overtopping rates at rubble mound sloped structures is not reported. The present paper aims to evaluate the performance of existing empirical formulae namely EurOtop 2018 (hereafter ET18), Owen (1982), van der Meer and Janssen (1995) (hereafter VMJ) and Jafari and Etemad-Shahidi (2012) (hereafter JES) against EurOtop database (updated CLASH database). The analysis includes structures with different armor types (rock, concrete cubes etc.) with both impermeable and permeable cores, to evaluate the capability of used formulae under different conditions.Recorded Presentation from the vICCE (YouTube Link): youtu.be/0TL5zFCf6GU
On the toe stability of rubble mound structures
Publisher: Elsevier BV
Date: 03-2021
Classification of the Caspian Sea coastal waters based on trophic index and numerical analysis
Publisher: Springer Science and Business Media LLC
Date: 14-04-2009
DOI: 10.1007/S10661-009-0897-6
Abstract: In order to characterize the trophic state of the southern coastal waters of the Caspian Sea, trophic index (TRIX) as well as numerical analysis using cluster and discriminant analysis were employed in this study. Chemical and biological parameters (NO(3), NO(2), NH(4), PT, DO, and Chla) used in this study were collected seasonally from summer 1999 to spring 2000. A new trophic index developed by modification of TRIX indicated mesotrophic to eutrophic conditions for the Caspian Sea. Numerical analysis revealed three groups of the study area and it was found that the used methods are in good agreement. Both of them predicted poor to moderate conditions in the western part of the study area and the numerical classification predicted trophic conditions in the study area. However, TRIX was found to be a more accurate and suitable method. It performs more conservatively than the numerical classification and characterized lower classes of water quality for the stations in central and eastern parts of the study area.
Two-Phase Simulation of Wave-Induced Tunnel Scour beneath Marine Pipelines
Publisher: American Society of Civil Engineers (ASCE)
Date: 06-2012
Effect of Sea Level Rise on the Wave Overtopping Rate at Berm Breakwater
Publisher: American Society of Civil Engineers (ASCE)
Date: 09-2019
Estimation of current-induced pile groups scour using a rule-based method
Publisher: IWA Publishing
Date: 20-11-2012
Abstract: Scour phenomenon around piles could endanger the stability of the structures placed on them. Therefore, an accurate estimation of the scour depth around piles is very important for engineers. Due to the complexity of the interaction between the current, seabed and pile group prediction of the scour depth is a difficult task and the available empirical formulas have limited accuracy. Recently, soft computing methods such as artificial neural networks (ANN) and adaptive neuro-fuzzy inference system (ANFIS) have been used for the prediction of the scour depth. However, these methods do not give enough insight into the generated models and are not as easy to use as the empirical formulas. In this study, new formulas are given that are compact, accurate and physically sound. In comparison with the other soft computing methods, this approach is more transparent and robust. Comparison between the developed formulas and previous empirical formulas showed the superiority of the developed ones in terms of accuracy. In addition, the given formulas can be easily used by engineers to estimate the scour depth around pile groups. Moreover, in this study, design factors are given for different levels of acceptable risks, which can be useful for design purposes.
Is economics of restoration helping with decision-making challenges? Insights guided by bibliometrics
Publisher: Elsevier BV
Date: 12-2021
Numerical modelling of the Gold Coast Seaway area hydrodynamics and littoral drift
Publisher: Elsevier BV
Date: 07-2016
Wave Overtopping At Vertical Structures: Comparison Of Different Formulas
Publisher: Coastal Engineering Research Council
Date: 28-12-2020
DOI: 10.9753/ICCE.V36V.STRUCTURES.5
Abstract: Wave overtopping is considered an important aspect when designing waterfront or sea-defense structures, making it a part of any design to predict the overtopping rate. Because overtopping is quite a complex phenomenon, most of the previous studies were focused on deriving empirical formulas using data collected from laboratory tests. This paper, in particular, deals with the estimation of overtopping at vertical structures and considers four of the existing methods to compare their performance using the European Overtopping Manual (i.e. EurOtop) database. Recorded Presentation from the vICCE (YouTube Link): youtu.be/iGwh_TZuc6M
Dynamics of lock-release crystalline gravity currents
Publisher: Informa UK Limited
Date: 02-10-2017
Predicting wave run-up on rubble-mound structures using M5 model tree
Publisher: Elsevier BV
Date: 2011
Accelerated numerical simulation to investigate morphology changes around small tidal inlets
Publisher: Informa UK Limited
Date: 14-08-2019
WAVE REFLECTION FROM BERM BREAKWATERS
Publisher: Coastal Engineering Research Council
Date: 28-12-2020
DOI: 10.9753/ICCE.V36V.STRUCTURES.7
Abstract: Wave reflection from berm breakwaters is an area less focused as these structures are generally considered to have relatively low reflection levels. However, the reflected waves may compromise the stability of the structure by inducing scour at the toe and may enhance harbour access risk (Zanuttigh et al., 2013). Hence, it is necessary that the reflection coefficients are predicted accurately. Several empirical formulas such as Postma (1989), Alikhani (2000), Zanuttigh and Van der Meer (2008) and Van der Meer and Sigurdarson (2016) have been suggested for the prediction of wave reflection, Kr. In this study, physical model tests were conducted to supplement the existing berm breakwater data sets in the CLASH database (Zanuttigh et al., 2016). The measured reflection coefficients were then compared with those of the existing formulas to evaluate their performance.Recorded Presentation from the vICCE (YouTube Link): youtu.be/WXIoa_ae-1Y
Climate change impact on wave energy in the Persian Gulf
Publisher: Springer Science and Business Media LLC
Date: 10-04-2015
Run-up on vertical piles due to regular waves: Small-scale model tests and prediction formulae
Publisher: Elsevier BV
Date: 12-2016
Wave overtopping at vertical and battered smooth impermeable structures
Publisher: Elsevier BV
Date: 06-2021
Application of decision tree techniques for the Prediction of Significant Wave Height
Publisher: IEEE
Date: 09-2007
A Genetic Algorithm-Based Fuzzy Inference System in Prediction of Wave Parameters
Publisher: Springer Berlin Heidelberg
Date: 2006
Modelling of bubble plume destratification using DYRESM
Publisher: IWA Publishing
Date: 02-2005
Experimental study of wave overtopping at rubble mound seawalls
Publisher: Elsevier BV
Date: 03-2022
Strategic evaluation tool for surface water quality management remedies in drinking water Catchments
Publisher: MDPI AG
Date: 27-09-2017
DOI: 10.3390/W9100738
Abstract: Drinking water catchments (DWC) are under pressure from point and nonpoint source pollution due to the growing human activities. This worldwide challenge is causing number of adverse effects, such as degradation in water quality, ecosystem health, and other economic and social pressures. Different evaluation tools have been developed to achieve sustainable and healthy drinking water catchments. However, a holistic and strategic framework is still required to adequately consider the uncertainty associated with feasible management remedies of surface water quality in drinking water catchments. A strategic framework was developed to adequately consider the uncertainty associated with management remedies for surface water quality in drinking water catchments. A Fuzzy Multiple Criteria Decision Analysis (FMCDA) approach was embedded into a strategic decision support framework to evaluate and rank water quality remediation options within a typical fixed budget constraint faced by bulk water providers. The evaluation framework consists of four core aspects namely, water quality, environmental, economic and social, and number of associated quantitative and qualitative criteria and sub-criteria. Final remediation strategy ranking was achieved through the application of the Euclidean Distance by the In-center of Centroids (EDIC).
Application of two numerical models for wave hindcasting in Lake Erie
Publisher: Elsevier BV
Date: 07-2007
Hydrodynamics of a small trained tidal inlet (Currumbin Creek, Australia)
Publisher: Copernicus GmbH
Date: 04-2014
Abstract: Abstract. Small tidal inlets are important features of coastal areas, in terms of provision of access from a back barrier water-body to the ocean as well as periodic circulation of fresh nutrients for the local ecology. Usually, dimensional and geometrical characteristics contribute significantly to morphological stability or instability of a particular inlet and necessitate an in idual investigation of any desired location. In other words, generalized usage of previous empirical and experimental research of a different position can hardly be used for other places. In this regard, one of the powerful tools to understand the physical processes of a particular region is to collect as much field data as possible. Such a dataset is used to further analyse and explore the governing processes and can also be used for building a numerical computer model for supplementary studies. In this research, the results of a comprehensive field measurement at Currumbin Creek, Queensland, Australia are presented. This study is part of broader research to investigate the long term evolution of the Currumbin entrance and its adjacent beaches. Currently, an annual dredging c aign is needed to reduce the risk of flooding due to excess rainfall inundations and to maintain water quality. The majority of data were collected over a three month period consistent with the time of the 2012 dredging operation. However, due to the loss of some instrumentation, data collection for some of the parameters was repeated till the middle of May 2013. All collected data included: (1) nearshore waves and tide (2) creek tidal variation (3) creek flow discharge and velocity (4) bathymetric survey of the creek (5) beach profile evolution survey and (6) sediment s ling. The measurement showed that the creek entrance is tidally dominated, with flood events having a major role in sediment transport into the creek. The nearshore stations' wave data illustrated the marginal effect of the beach curvature between updrift and downdrift stations. Thus, the historical dataset available from the updrift wave rider buoy will be selected to be used for future numerical modelling. Although changes of some beach profiles were comparatively insignificant, the dramatic changes of the profile lines nearby the inlet channel and also rapid bathymetric change of the flood shoal following the dredging completion are valuable information to better calibrate and interpret a local sediment modelling study for the next phase. Essentially, this evaluation needs to be considered for proposing any alternative maintenance activities.
Modelling of flow around hexagonal and textured cyiinaers
Publisher: Thomas Telford Ltd.
Date: 09-2018
Abstract: The flow regime around a hexagonal polygon with low Reynolds numbers Re 200 is numerically investigated in two different orientations namely face- and corner oriented. The basic flow characteristics, including drag coefficient, lift coefficient, Strouhal number and critical Reynolds number of the hexagonal cylinders, are calculated by solving the Navier–Stokes and mass conservation (continuity) equations, using the Simple (semi-implicit method for pressure-linked equations) algorithm. Within the studied range of Re, the predicted lift coefficient and Strouhal number of the face-oriented hexagon were higher than those of the corner-oriented hexagon. In contrast, the predicted drag coefficient and critical Reynolds number of the corner-oriented hexagon were greater than those of the face-oriented one. Flow characteristics of a novel textured geometry are also studied using three-dimensional transient analysis. The Strouhal number St of the textured geometry was found to be in between the St of both the hexagonal cylinders, and its lift coefficient is lower than that of the hexagonal cylinders. The computational fluid dynamics results show that, within the studied Reynolds number range, the drag coefficient of the textured pipe is almost equal to that of the circular cylinder while its lift coefficient is substantially smaller than that of circular and face- and corner-oriented hexagon pipes.
Numerical modelling to assess maintenance strategy management options for a small tidal inlet
Publisher: Elsevier BV
Date: 03-2017
Assessment of CGCM 3.1 wind field in the Persian Gulf
Publisher: Coastal Education and Research Foundation
Date: 02-01-2013
DOI: 10.2112/SI65-043.1
Numerical investigation of boundary layer effects on vortex shedding frequency and forces acting upon marine pipeline
Publisher: Elsevier BV
Date: 10-2010
The stability of berm breakwaters, state of art and sensitivity analysis
Publisher: Elsevier BV
Date: 03-2022
Morphological evolution of the Nerang River Entrance ebb-tidal delta
Publisher: Coastal Education and Research Foundation
Date: 03-03-2016
DOI: 10.2112/SI75-48.1
Investigation of hydraulics transport time scales within the Arvand River estuary, Iran
Publisher: Wiley
Date: 15-11-2014
DOI: 10.1002/HYP.10095
Prediction of wave overtopping at vertical structures
Publisher: Elsevier BV
Date: 03-2016
Prediction of salinity intrusion in Danshuei estuarine system
Publisher: IWA Publishing
Date: 10-2008
DOI: 10.2166/NH.2008.107
Abstract: The main parameters that affect the flow conditions and intrusion of salt water in an estuary system are tides and the seasonal variation of water discharge. A laterally averaged two-dimensional numerical model called MIKE 11 XZ is used to simulate the hydrodynamics and salinity intrusion of Danshuei River estuarine system. This model can simulate hydrodynamics and water quality in estuaries, reservoirs and lakes. MIKE 11 XZ solves the Reynolds-averaged Navier–Stokes equations by using Abbott–Ionescu finite difference scheme in a non-dimensional vertical σ-coordinate. Vertical eddy diffusivity in the model can be determined by a constant value, a mixing length theory and a k or k−ɛ turbulence closure scheme with Richardson number correction. A series of comprehensive field data obtained from Danshuei estuarine system is used for evaluation, calibration and verification of the model. The friction coefficient was calibrated and verified using water surface elevation and velocity measurements, respectively. Then the vertical eddy diffusivity was calibrated and verified through comparison of salinity measurements in different layers of several stations. Reasonable agreement was obtained between the model results and the observed data using k−ɛ turbulence closure scheme. The model application was investigated with different discharges and the effect of discharge variation on salinity intrusion was determined. The results showed that the fresh water discharge is the main parameter that affects the salinity intrusion in this system. Finally, simple power equations are suggested to predict the salinity intrusion due to the fresh water discharge in different tributaries of the system.
Euler–Euler two-phase flow simulation of tunnel erosion beneath marine pipelines
Publisher: Elsevier BV
Date: 04-2011
Error distribution and correction of the predicted wave characteristics over the Persian Gulf
Publisher: Elsevier BV
Date: 2014
Wave height forecasting in Dayyer, the Persian Gulf
Publisher: Elsevier BV
Date: 2011
Vertical eddy diffusivity estimations in Swan river estuary
Publisher: Elsevier BV
Date: 05-2005
Wave overtopping at berm breakwaters: Review and sensitivity analysis of prediction models
Publisher: Elsevier BV
Date: 02-2017
Wave energy resource assessment along the Southeast coast of Australia on the basis of a 31-year hindcast
Publisher: Elsevier BV
Date: 12-2016
Modeling the combined impact of climate change and sea-level rise on general circulation and residence time in a semi-enclosed sea
Publisher: Elsevier BV
Date: 10-2020
Sustainability of wave energy resources in southern Caspian Sea
Publisher: Elsevier BV
Date: 02-2016
New formulae for prediction of wave overtopping at inclined structures with smooth impermeable surface
Publisher: Elsevier BV
Date: 07-2014
Modeling of salinity intrusion under different hydrological conditions in the Arvand River Estuary
Publisher: Canadian Science Publishing
Date: 12-2008
DOI: 10.1139/L08-087
Abstract: Arvand River Estuary is the most important inland water body of Iran and its discharge has been reduced in the last decades due to construction of several dams. Hence, a two-dimensional laterally averaged time dependent hydrodynamic and water quality model called CE-QUAL-W2 was applied to this estuary to assess the impacts of river discharge reduction. The model was first implemented with three different closure schemes for parameterization of vertical transport of mass and momentum. It was found that the W2N scheme performs better than the other schemes in predicting the vertical salinity structure. The model was then used for prediction of salinity intrusion in different hydrological conditions and a simple equation was obtained for estimation of the intrusion length as a function of upstream freshwater discharge.
Hindcasting of wave parameters using different soft computing methods
Publisher: Elsevier BV
Date: 02-2008
An alternative data driven approach for prediction of thermal discharge initial dilution using tee diffusers
Publisher: Springer Science and Business Media LLC
Date: 12-2009
DOI: 10.1007/BF03326114
Concessão de Crédito Rural: evidências empíricas do impacto na produção de soja no Centro-Oeste brasileiro
Publisher: EDUFU - Editora da Universidade Federal de Uberlandia
Date: 11-09-2020
DOI: 10.14393/REE-V35N2A2020-57245
Abstract: Este estudo examina o impacto do crédito rural sobre a produção de soja no Centro-Oeste brasileiro. As análises foram desenvolvidas a partir de informações da produção agrícola municipal e do volume de crédito rural destinado às atividades de custeio e de investimento, nos anos de 2009 e 2017, para os 467 municípios da região Centro-Oeste. O quociente locacional foi utilizado para verificar o nível de concentração relativa do mercado de crédito rural e da produção de soja. Os efeitos regionais e do crédito rural sobre a produção de soja foram estimados por meio de regressão econométrica. Os resultados apontam que a concessão de crédito rural possui efeitos positivos e significativos na produção de soja, sendo o resultado maior para o custeio em comparação com o investimento. Neste cenário, a política de crédito rural permanece como um instrumento essencial de estímulo governamental ao setor.
Revisiting Longshore Sediment Transport Formulas
Publisher: American Society of Civil Engineers (ASCE)
Date: 07-2020
Corrigendum to “Wave overtopping at vertical and battered smooth impermeable structures” [Coast. Eng. 166 (2021) 103889] (Coastal Engineering (2021) 166, (S0378383921000491), (10.1016/j.coastaleng.2021.103889))
Publisher: Elsevier BV
Date: 09-2022
Breaking-Down and Parameterising Wave Energy Converter Costs Using the CapEx and Similitude Methods
Publisher: MDPI AG
Date: 09-02-2021
DOI: 10.3390/EN14040902
Abstract: Wave energy converters (WECs) can play a significant role in the transition towards a more renewable-based energy mix as stable and unlimited energy resources. Financial analysis of these projects requires WECs cost and WEC capital expenditure (CapEx) information. However, (i) cost information is often limited due to confidentiality and (ii) the wave energy field lacks flexible methods for cost breakdown and parameterisation, whereas they are needed for rapid and optimised WEC configuration and worldwide site pairing. This study takes advantage of the information provided by Wavepiston to compare different costing methods. The work assesses the Froude-Law-similarities-based “Similitude method” for cost-scaling and introduces the more flexible and generic “CapEx method” ided into three steps: (1) distinguishing WEC’s elements from the wave energy farm (WEF)’s (2) defining the parameters characterising the WECs, WEFs, and site locations and (3) estimating elements that affect WEC and WEF elements’ cost and translate them into factors using the parameters defined in step (2). After validation from Wavepiston manual estimations, the CapEx method showed that the factors could represent up to 30% of the cost. The Similitude method provided slight cost-overestimations compared to the CapEx method for low WEC up-scaling, increasing exponentially with the scaling.
Wave load formulae for prediction of wave-induced forces on a slender pile within pile groups
Publisher: Elsevier BV
Date: 08-2015
A new method for the prediction of wave runup on vertical piles
Publisher: Elsevier BV
Date: 04-2015
Classification and Regression Trees Approach for Predicting Current-Induced Scour Depth Under Pipelines
Publisher: ASME International
Date: 28-11-2013
DOI: 10.1115/1.4025654
Abstract: Reliable prediction of scour depth is important in engineering analysis concerned with pipeline stability. The aim of this study is to develop an accurate formula for prediction of the current-induced scour depth under pipelines. Previous experimental data are collected and used as a database by which to study the effect of different parameters on the scour depth. Decision tree and nonlinear regression approaches are used to develop engineering design formulae for estimation of the current induced scour depth in both live bed and clear water conditions. It is demonstrated that the proposed formulas are more accurate than previous ones in predicting the scour depth in all conditions. Probabilistic formulas are also presented for different levels of risk, aimed at safe and economic design of submerged pipelines.
Estimation of scour depth around circular piers: applications of model tree
Publisher: IWA Publishing
Date: 31-10-2014
Abstract: Scour around bridge piers is one of the main causes of bridge failures and is of great importance for hydraulic engineers and scientists. Prediction of the scour depth around piers is complicated, and accurate results are rarely achieved by the existing models. Recently, data mining approaches such as artificial neural networks and fuzzy inference systems have been applied successfully to predict scour depth around hydraulic structures. In this study, an alternative robust data mining approach was used for the predictions of the scour depth around piers, and the results were compared with those of three empirical approaches. Performances of developed models were tested by experimental data sets collected in laboratory experiments and field measurements, together with existing empirical approaches. Statistical measures indicate that the proposed M5′ model provides a better prediction of scour depth than the empirical approaches.
Numerical Investigation of Gap to Diameter Ratio Effects on Flow Pattern and Drag Force Around Offshore Pipeline
Publisher: ASMEDC
Date: 2008
Abstract: Offshore pipelines are exposed to hydrodynamic forces due to the current actions. The forces (drag and lift) have an unsteady nature and oscillate around their average values because of the occurrence of vortex shedding behind the pipeline. Vortex shedding leads to the Vortex-Induced-Vibration (VIV) which is an important source of fatigue damage of pipeline in free spanning sections. Time-averaged drag force can be calculated using drag equation which has a hydrodynamic coefficient. However it does not take the VIV effects into account. To do so and to consider the unsteady nature of the force, the flow pattern and vortex shedding phenomenon around a pipeline should be simulated accurately. The main objective of this study is to simulate the flow field around an offshore pipeline placed on the plane bed. This study investigates the gap ratio effects on the flow pattern and drag force exerted on the pipeline as well. The flow field was simulated by the two dimensional Reynolds-Averaged Navier-Stokes (RANS) equations with a k-ε turbulence closure model. Results indicate that the k-ε turbulence closure can simulate the vortex shedding behind a pipeline and the oscillation of drag force successfully. By considering different values of gap to diameter ratio, it is found that the drag coefficient is increased gradually as the gap ratio rises up and the increase rate reduces as gap ratio increases.
Long-term prediction of longshore sediment transport in the context of climate change
Publisher: Coastal Engineering Research Council
Date: 31-12-2020
DOI: 10.9753/ICCE.V36V.PAPERS.15
Abstract: Due to climate change impacts on atmospheric circulation, global and regional wave climate in many coastal regions around the world might change. Any changes in wave parameters could result in significant changes in wave energy flux, the patterns of coastal sediment transport, and coastal evolution. Although some studies have tried to address the potential impacts of climate change on longshore sediment transport (LST) patterns, they did not sufficiently consider the uncertainties arising from different sources in the projections. In this study, the uncertainty associated with the choice of model used for the estimation of LST is examined. The models were applied to a short stretch of coastline located in Northern Gold Coast, Australia, where a huge volume of sediment is transported along the coast annually. The ensemble of results shows that the future mean annual and monthly LST rate might decrease by about 11 percent, compared to the baseline period. The results also show that uncertainty associated with LST estimation is significant. Hence, it is proposed that this uncertainty, in addition to that from other sources, should be considered to quantify the contribution of each source in total uncertainty. In this way, a probabilistic-based framework can be developed to provide more meaningful output applicable to long-term coastal planningRecorded Presentation from the vICCE (YouTube Link): youtu.be/3CGU9RcGYjE
MODELLING THE MORPHOLOGICAL RESPONSE OF AN EBB TIDAL DELTA TO STORM WAVE FORCING
Publisher: Coastal Engineering Research Council
Date: 30-10-2014
Comparison between M5′ model tree and neural networks for prediction of significant wave height in Lake Superior
Publisher: Elsevier BV
Date: 11-2009
Estimation of Transverse Mixing Coefficient in Straight and Meandering Streams
Publisher: Springer Science and Business Media LLC
Date: 22-05-2017
Reply to: A Discussion on “Hindcasting of wave parameters using different soft computing methods” [Appl. Ocean Res. (2008), doi:10.1016/j.apor.2008.03.002]
Publisher: Elsevier BV
Date: 04-2008
Evaluation of ECMWF wind data for wave hindcast in Chabahar zone
Publisher: Coastal Education and Research Foundation
Date: 02-01-2013
DOI: 10.2112/SI65-065.1
Field Measurement for Investigating the Dynamics of Currumbin Creek Tidal Inlet Entrance
Publisher: Coastal Education and Research Foundation
Date: 03-01-2013
DOI: 10.2112/SI65-205.1
Effects of sea level rise on the salinity of Bahmanshir estuary
Publisher: Springer Science and Business Media LLC
Date: 17-02-2015
A review of wave energy estimates for nearshore shelf waters off Australia
Publisher: Elsevier BV
Date: 09-2014
An alternative approach for the prediction of significant wave heights based on classification and regression trees
Publisher: Elsevier BV
Date: 07-2008
Prediction of scour at abutments using piecewise regression
Publisher: Thomas Telford Ltd.
Date: 02-2014
Abstract: Scour is one of the main causes of bridge failure and scour depth prediction is thus a very important issue. Although many studies have been carried out to develop formulas for the prediction of scour depth at abutments, the existing formulas do not yield accurate results, mainly due to the complexity of the scour phenomena around abutments. This paper reports on a study of abutment scour using piecewise multiple linear regression analysis. First, scour depth data were collected from the literature and the existing formulas were evaluated and compared. To develop new formulas, the conventional governing parameters were selected as the independent variables. The piecewise multiple linear regression technique was applied to investigate the relationship between dimensionless scour depth and the governing dimensionless parameters in several subdomains. Errors of the proposed formula and previous models were also compared. Compared with existing formulas, the error measures in the proposed method show a significant improvement in prediction accuracy.
On the estimation of transport timescales – case study: the Dez reservoir
Publisher: IWA Publishing
Date: 29-04-2010
Abstract: The purpose of this study is to demonstrate an application of a hydroinformatics methodology for analysis of transport timescales in a large reservoir. Therefore, a laterally averaged two-dimensional numerical model was used to estimate the transit time, flushing times and combination of these two timescales by modeling about 230 scenarios in the Dez reservoir. The model was calibrated using temperature profiles and then executed for a period of two years (2002–2004). A possible characterization of the flushing time as e-folding time was investigated and the results revealed that the e-folding time, which is simpler to estimate, can be used in place of the flushing time in the Dez reservoir. The effects of the location of the outlet on each of these timescales were also investigated. Results indicated that the mean residence and flushing times have their smallest value when the outlet is set in the middle of the Dez dam. The mean flushing times were also less sensitive to thermal structures of the Dez reservoir than the transit times. Finally, the temporal patterns of these timescales were elucidated. It was found that no single transport timescale can be used for all conditions.
Wave energy and hot spots in Anzali port
Publisher: Elsevier BV
Date: 09-2014
Distribution of individual wave overtopping volumes at rubble mound seawalls
Publisher: Elsevier BV
Date: 10-2022
First Detection of X-Ray Polarization from the Accreting Neutron Star 4U 1820−303
Publisher: American Astronomical Society
Date: 08-2023
Abstract: This paper reports the first detection of polarization in the X-rays for atoll-source 4U 1820−303, obtained with the Imaging X-ray Polarimetry Explorer (IXPE) at 99.999% confidence level (CL). Simultaneous polarimetric measurements were also performed in the radio with the Australia Telescope Compact Array. The IXPE observations of 4U 1820−303 were coordinated with Swift X-ray Telescope, Neutron Star Interior Composition Explorer, and Nuclear Spectroscopic Telescope Array aiming to obtain an accurate X-ray spectral model covering a broad energy interval. The source shows a significant polarization above 4 keV, with a polarization degree of 2.0% ± 0.5% and a polarization angle of −55° ± 7° in the 4–7 keV energy range, and a polarization degree of 10% ± 2% and a polarization angle of −67° ± 7° in the 7–8 keV energy bin. This polarization also shows a clear energy trend with polarization degree increasing with energy and a hint for a position-angle change of ≃90° at 96% CL around 4 keV. The spectro-polarimetric fit indicates that the accretion disk is polarized orthogonally to the hard spectral component, which is presumably produced in the boundary/spreading layer. We do not detect linear polarization from the radio counterpart, with a 3 σ upper limit of 50% at 7.25 GHz.
Wave energy forecasting using artificial neural networks in the Caspian Sea
Publisher: Thomas Telford Ltd.
Date: 03-2014
Abstract: Providing energy without unfavourable impact on the environment is an important issue that is considered by societies. This paper focuses on forecasting the wave energy over horizons of 1–12 h, in the southern part of the Caspian Sea. For this purpose, an artificial neural network was used to obtain the wave energy flux using two different methods. First, the components of wave energy flux, including the significant wave height and peak wave period were predicted separately and the wave energy flux was calculated by combining them and second, the wave energy flux was forecast directly. The results showed that the prediction of components separately yielded more accurate results. It was found that the longer the forecasting time horizon, the less accurate was the prediction. This is because in large time horizons, the previous wave characteristics have little influence on the wave energy flux. The forecast wave energy flux in both methods correlated well with observed data in short horizons.
A hybrid genetic algorithm–adaptive network-based fuzzy inference system in prediction of wave parameters
Publisher: Elsevier BV
Date: 12-2009
An alternative approach for investigation of the wave-induced scour around pipelines
Publisher: IWA Publishing
Date: 09-2009
Abstract: Scour around submarine pipelines remains a largely complex and not yet fully understood problem. In this study, wave-induced scour around submarine pipelines was investigated. Since various physical processes occur during the development of a scour hole, the effects of each process were considered by employing several nondimensional parameters. To find the effective parameters on equilibrium scour depth, the correlation between independent parameters (e.g. Keulegan–Carpenter number) and dependent parameter (nondimensional scour depth) were determined using different experimental data. Then, an Artificial Neural Network (ANNs) approach was used to develop a more accurate model for prediction of wave-induced scour depth around submarine pipelines. ANN models with different input parameters including gap to diameter ratio, Keulegan–Carpenter number, pipe Reynolds number, Shields number, sediment Reynolds number and boundary layer Reynolds number were trained and evaluated to find the best predictor model. To develop the ANN models, both holdout and tenfold cross-validation methods were used. In addition, an existing empirical method was examined. Results show that the empirical method has a significant error in the prediction of scour depth for the cases with an initial gap between pipe and seabed. It is also indicated that the ANN models outperform the empirical method in terms of prediction capability.
On the Stability of Rubble Mound Structures under Oblique Wave Attack
Publisher: MDPI AG
Date: 21-06-2023
DOI: 10.3390/JMSE11071261
Abstract: Slope stability formulae for rubble mound structures are usually developed for head-on conditions. Often, the effects of oblique waves are neglected, mainly because it is assumed that for oblique wave attack, the reduction in damage compared to perpendicular wave attack is insignificant. When the incident waves are oblique, the required armour size can be reduced compared to the perpendicular wave attack case. Therefore, it is important to consider the wave obliquity influence on slope stability formulae as a reduction factor. One of the most recent formulae for estimating the stability of rock-armoured slopes, referred to as Etemad-Shahidi et al. (2020), was proposed for perpendicular wave attack. The aim of this study is to develop a suitable wave obliquity reduction factor for the above-mentioned stability formula. To achieve this, first, laboratory experiment datasets from existing reliable studies were selected and analysed. Then, previously suggested reduction factors were evaluated and a suitable reduction factor for the mentioned stability formula were suggested. The suggested reduction factor includes the effect of wave obliquity and directional spreading explicitly. It is shown that the stability prediction is improved by using the wave obliquity reduction factor.
A distributed wind downscaling technique for wave climate modeling under future scenarios
Publisher: Elsevier BV
Date: 2020
Evaluation of regular wave scour around a circular pile using data mining approaches
Publisher: Elsevier BV
Date: 02-2010
Temporal-spatial variation of wave energy and nearshore hotspots in the Gulf of Oman based on locally generated wind waves
Publisher: Elsevier BV
Date: 08-2016
Individual-based modelling of cyanobacteria blooms: Physical and physiological processes
Publisher: Elsevier BV
Date: 10-2021
Inclusion of additional energy dissipation due to plunging breakers in parametric type wave models
Publisher: Elsevier BV
Date: 12-2013
Modeling of Hydrodynamics and Cohesive Sediment Processes in an Estuarine System: Study Case in Danshui River
Publisher: Springer Science and Business Media LLC
Date: 02-09-2009
A decision-making process for wave energy converter and location pairing
Publisher: Elsevier BV
Date: 09-2021
A Weibull Distribution Based Technique for Downscaling of Climatic Wind Field
Publisher: Springer Science and Business Media LLC
Date: 12-02-2019
Derivation of a New Model for Prediction of Wave Overtopping at Rubble Mound Structures
Publisher: American Society of Civil Engineers (ASCE)
Date: 2012
Predicting Longitudinal Dispersion Coefficient in Natural Streams Using M5′ Model Tree
Publisher: American Society of Civil Engineers (ASCE)
Date: 06-2012
Wave energy potential along the northern coasts of the Gulf of Oman, Iran
Publisher: Elsevier BV
Date: 04-2012
Design of rubble-mound breakwaters using M5 ′ machine learning method
Publisher: Elsevier BV
Date: 07-2009
Corrigendum to “On the stability of rock armored rubble mound structures” [Coast. Eng. 158 (2020) 103655]
Publisher: Elsevier BV
Date: 08-2022
Application of fuzzy inference system in the prediction of wave parameters
Publisher: Elsevier BV
Date: 10-2005
Effects of climate change on the thermal regime of a reservoir
Publisher: Thomas Telford Ltd.
Date: 11-2014
Abstract: Thermal stratification is strongly associated with hydrodynamics, and plays an important role in the dynamics of water quality and the ecosystem of stratified water bodies. Changes in the climate or hydrological conditions can alter thermal regimes. This study aims to investigate the effects of climate change on the thermal structure of a reservoir. To quantify these effects, a hydrodynamic and water quality model was applied to the Latian dam reservoir in Iran. The outputs of the Canadian global climate model version 3 for B 1 , A 1 B and A 2 scenarios were used to obtain future (year 2100) air temperature trends. Results from these scenarios were compared with those of base conditions to investigate the effects of climate change. The maximum surface water temperature increase was about 2°C for the S2 scenario, which was the scenario with the highest air temperature increase (5·7°C). The increase in water temperature indicated some important effects on thermal stratification for ex le, thermal gradient across the metalimnion was increased. It was also inferred that the Latian dam was severely sensitive to inflow variations as well as temperature changes.
Predicting scour depth around non-uniformly spaced pile groups
Publisher: The University of Queensland
Date: 2014
DOI: 10.14264/UQL.2014.38
Prediction of wave-induced scour depth under submarine pipelines using machine learning approach
Publisher: Elsevier BV
Date: 02-2011
Wave modeling and extreme value analysis off the northern coast of the Persian Gulf
Publisher: Elsevier BV
Date: 02-0191
An empirical model for salinity intrusion in alluvial estuaries
Publisher: Springer Science and Business Media LLC
Date: 10-07-2011
Spatial changes of beach profiles for a small tidal inlet (Currumbin Creek, Australia)
Publisher: The University of Queensland
Date: 2014
DOI: 10.14264/UQL.2014.36
On the stability of rock armored rubble mound structures
Publisher: Elsevier BV
Date: 06-2020
Wave run-up on bermed coastal structures
Publisher: Elsevier BV
Date: 05-2019
How Does the Driver’s Perception Reaction Time Affect the Performances of Crash Surrogate Measures?
Publisher: Public Library of Science (PLoS)
Date: 23-09-2015
Impacts of atmospheric stilling and climate warming on cyanobacterial blooms: An individual-based modelling approach
Publisher: Elsevier BV
Date: 08-2022
DOI: 10.1016/J.WATRES.2022.118814
Abstract: Harmful algal blooms of the freshwater cyanobacteria genus Microcystis are a global problem and are expected to intensify with climate change. In studies of climate change impacts on Microcystis blooms, atmospheric stilling has not been considered. Stilling is expected to occur in some regions of the world with climate warming, and it will affect lake stratification regimes. We tested if stilling could affect water column Microcystis distributions using a novel in idual-based model (IBM). Using the IBM coupled to a three-dimensional hydrodynamic model, we assessed responses of colonial Microcystis biomass to wind speed decrease and air temperature increase projected under a future climate. The IBM altered Microcystis colony size using relationships with turbulence from the literature, and included light, temperature, and nutrient effects on Microcystis growth using input data from a shallow urban lake. The model results show that dynamic variations in colony size are critical for accurate prediction of cyanobacterial bloom development and decay. Colony size (mean and variability) increased more than six-fold for a 20% decrease in wind speed compared with a 2 °C increase in air temperature. Our results suggest that atmospheric stilling needs to be included in projections of changes in the frequency, distribution and magnitude of blooms of buoyant, colony-forming cyanobacteria under climate change.
The Polarized Cosmic Hand: IXPE Observations of PSR B1509−58/MSH 15−52
Publisher: American Astronomical Society
Date: 23-10-2023
Site Selection of Combined Offshore Wind and Wave Energy Farms: A Systematic Review
Publisher: MDPI AG
Date: 20-02-2023
DOI: 10.3390/EN16042074
Abstract: Growing energy demand worldwide and onshore limitations have increased interest in offshore renewable energy exploitation. A combination of offshore renewable energy resources such as wind and wave energy can produce stable power output at a lower cost compared to a single energy source. Consequently, identifying the best locations for constructing combined offshore renewable energy farms is crucial. This paper investigates the technical, economic, social, and environmental aspects of Combined Offshore Wind and Wave Energy Farm (COWWEF) site selection. Past literature was evaluated using a systematic review method to synthesize, criticize, and categorize study regions, dataset characteristics, constraints, evaluation criteria, and methods used for the site selection procedure. The results showed that most studied regions belong to European countries, and numerical model outputs were mainly used in the literature as met-ocean data due to the limited coverage and low spatiotemporal resolution of buoy and satellite observations. Environmental and marine usage are the main constraints in the site selection process. Among all constraints, shipping lanes, marine protected areas, and military exercise areas were predominately considered to be excluded from the potential sites for COWWEF development. The technical viability and economic feasibility of project deployment are emphasized in the literature. Resource assessment and distance to infrastructures were mostly evaluated among techno-economic criteria. Wind and wave energy power are the most important criteria for evaluating feasibility, followed by water depth, indicators of variability and correlation of the energy resources, and distance to the nearest port. Multi-Criteria Decision-Making (MCDM) methods and resource-based analysis were the most-used evaluation frameworks. Resource-based studies mainly used met-ocean datasets to determine site technical and operational performance (i.e., resource availability, variability, and correlation), while MCDM methods were applied when a broader set of criteria were evaluated. Based on the conducted review, it was found that the literature lacks evaluation of seabed conditions (seabed type and slope) and consideration of uncertainty involved in the COWWEF site selection process. In addition, the market analysis and evaluation of environmental impacts of COWWEF development, as well as impacts of climate change on combined exploitation of offshore wind and wave energy, have rarely been investigated and need to be considered in future studies. Finally, by providing a comprehensive repository of synthesized and categorized information and research gaps, this study represents a road map for decision-makers to determine the most suitable locations for COWWEF developments.
Uncertainties in the Projected Patterns of Wave-Driven Longshore Sediment Transport Along a Non-straight Coastline
Publisher: Frontiers Media SA
Date: 28-02-2022
DOI: 10.3389/FMARS.2022.832193
Abstract: This study quantifies the uncertainties in the projected changes in potential longshore sediment transport (LST) rates along a non-straight coastline. Four main sources of uncertainty, including the choice of emission scenarios, Global Circulation Model-driven offshore wave datasets (GCM-Ws), LST models, and their non-linear interactions were addressed through two ensemble modelling frameworks. The first ensemble consisted of the offshore wave forcing conditions without any bias correction (i.e., wave parameters extracted from eight datasets of GCM-Ws for baseline period 1979–2005, and future period 2081–2100 under two emission scenarios), a hybrid wave transformation method, and eight LST models (i.e., four bulk formulae, four process-based models). The differentiating factor of the second ensemble was the application of bias correction to the GCM-Ws, using a hindcast dataset as the reference. All ensemble members were weighted according to their performance to reproduce the reference LST patterns for the baseline period. Additionally, the total uncertainty of the LST projections was decomposed into the main sources and their interactions using the ANOVA method. Finally, the robustness of the LST projections was checked. Comparison of the projected changes in LST rates obtained from two ensembles indicated that the bias correction could relatively reduce the ranges of the uncertainty in the LST projections. On the annual scale, the contribution of emission scenarios, GCM-Ws, LST models and non-linear interactions to the total uncertainty was about 10–20, 35–50, 5–15, and 30–35%, respectively. Overall, the weighted means of the ensembles reported a decrease in net annual mean LST rates (less than 10% under RCP 4.5, a 10–20% under RCP 8.5). However, no robust projected changes in LST rates on annual and seasonal scales were found, questioning any ultimate decision being made using the means of the projected changes.
Model tree approach for prediction of pile groups scour due to waves
Publisher: Elsevier BV
Date: 09-2011
Stability of rubble-mound breakwater using H50 wave height parameter
Publisher: Elsevier BV
Date: 2012
On the mean overtopping rate of rubble mound structures
Publisher: Elsevier BV
Date: 10-2022
Hydrosedimentological modelling of a small, trained tidal inlet system, Currumbin Creek, Southeast Queensland, Australia
Publisher: Coastal Education and Research Foundation
Date: 03-2018
Developing an optimum hotspot identifier for wave energy extracting in the northern Persian Gulf
Publisher: Elsevier BV
Date: 12-2017
Related Organisations
Related Funding Activities
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE170100090
Start Date: 05-2017
End Date: 05-2018
Amount: $600,000.00
Funder: Australian Research Council
View Funded Activity