ORCID Profile
0000-0002-0090-147X
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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.
Water treatment processes | Maritime engineering | Manufacturing Engineering | Manufacturing Processes and Technologies (excl. Textiles) | Metals and Alloy Materials | Biological control | Nonlinear Optics and Spectroscopy | Ship and platform structures (incl. maritime hydrodynamics)
Metals (e.g. Composites, Coatings, Bonding) | Expanding Knowledge in the Physical Sciences | Expanding Knowledge in Engineering |
Publisher: Elsevier BV
Date: 03-2021
Publisher: Wiley
Date: 03-12-2019
DOI: 10.1002/PRS.12114
Publisher: Elsevier BV
Date: 11-2015
Publisher: Elsevier BV
Date: 04-2021
Publisher: Elsevier BV
Date: 11-2019
Publisher: Elsevier BV
Date: 03-2015
Publisher: Elsevier BV
Date: 05-1994
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2020
Publisher: Wiley
Date: 05-12-2019
DOI: 10.1002/PRS.12118
Publisher: Elsevier BV
Date: 08-2018
Publisher: Elsevier BV
Date: 09-2017
Publisher: Elsevier
Date: 2018
Publisher: Elsevier
Date: 2020
Publisher: The Society of Naval Architects and Marine Engineers
Date: 2016
Publisher: IEEE
Date: 12-2018
Publisher: Elsevier BV
Date: 09-2015
Publisher: Elsevier BV
Date: 02-2020
Publisher: Elsevier BV
Date: 10-2021
Publisher: Elsevier BV
Date: 09-2018
Publisher: Copernicus GmbH
Date: 26-05-2020
DOI: 10.5194/HESS-24-2687-2020
Abstract: Abstract. Rain gauges are unevenly spaced around the world with extremely low gauge density over developing countries. For instance, in some regions in Africa the gauge density is often less than one station per 10 000 km2. The availability of rainfall data provided by gauges is also not always guaranteed in near real time or with a timeliness suited for agricultural and water resource management applications, as gauges are also subject to malfunctions and regulations imposed by national authorities. A potential alternative is satellite-based rainfall estimates, yet comparisons with in situ data suggest they are often not optimal. In this study, we developed a short-latency (i.e. 2–3 d) rainfall product derived from the combination of the Integrated Multi-Satellite Retrievals for GPM (Global Precipitation Measurement) Early Run (IMERG-ER) with multiple-satellite soil-moisture-based rainfall products derived from ASCAT (Advanced Scatterometer), SMOS (Soil Moisture and Ocean Salinity) and SMAP (Soil Moisture Active and Passive) L3 (Level 3) satellite soil moisture (SM) retrievals. We tested the performance of this product over four regions characterized by high-quality ground-based rainfall datasets (India, the conterminous United States, Australia and Europe) and over data-scarce regions in Africa and South America by using triple-collocation (TC) analysis. We found that the integration of satellite SM observations with in situ rainfall observations is very beneficial with improvements of IMERG-ER up to 20 % and 40 % in terms of correlation and error, respectively, and a generalized enhancement in terms of categorical scores with the integrated product often outperforming reanalysis and ground-based long-latency datasets. We also found a relevant overestimation of the rainfall variability of GPM-based products (up to twice the reference value), which was significantly reduced after the integration with satellite soil-moisture-based rainfall estimates. Given the importance of a reliable and readily available rainfall product for water resource management and agricultural applications over data-scarce regions, the developed product can provide a valuable and unique source of rainfall information for these regions.
Publisher: Elsevier BV
Date: 12-2018
Publisher: Elsevier BV
Date: 11-2017
DOI: 10.1016/J.BIORTECH.2017.08.026
Abstract: The present study explores low-cost cathode development possibility using radial oxygen loss (ROL) of Canna indica plants and intermittent aeration (IA) for wastewater treatment and electricity generation in constructed wetland-microbial fuel cell (CW-MFC) system. Two CW-MFC microcosms were developed. Amongst them, one microcosm was planted with Canna indica plants for evaluating the ROL dependent cathode reaction (CW-MFC dependent on ROL) and another microcosm was equipped with intermittent aeration for evaluating the intermittent aeration dependent cathode reaction (CW-MFC with additional IA). The CW-MFC with additional IA has achieved 78.71% and 53.23%, and CW-MFC dependent on ROL has achieved 72.17% and 46.77% COD removal from synthetic wastewater containing glucose loads of 0.7gL
Publisher: Elsevier BV
Date: 03-2017
Publisher: Elsevier BV
Date: 11-2019
Publisher: Elsevier
Date: 2022
Publisher: Elsevier BV
Date: 06-2017
Publisher: Elsevier BV
Date: 2018
Publisher: Faculty of Navigation
Date: 2020
Publisher: Elsevier BV
Date: 07-2018
Publisher: Copernicus GmbH
Date: 14-08-2019
Publisher: Elsevier BV
Date: 07-2018
Publisher: Elsevier BV
Date: 12-2021
Publisher: Elsevier BV
Date: 06-2018
DOI: 10.1016/J.ENVPOL.2017.11.008
Abstract: This study investigated particle and gaseous emission factors from a large cargo vessel for her whole voyage including at berth, manoeuvring and cruising. Quantification of these factors assists in minimising the uncertainty in the current methods of exhaust gas emission factor estimation. Engine performance and emissions from the main marine engine were measured on-board while the ship was manoeuvring and cruising at sea. Emissions of an auxiliary engine working at 55% of maximum continuous rating (MCR) were measured when the ship was at actual harbour stopovers. Gaseous and particle emission factors in this study are presented in g kWh
Publisher: Elsevier BV
Date: 08-2019
Publisher: Elsevier BV
Date: 03-2015
Publisher: IOP Publishing
Date: 07-2017
Publisher: Elsevier BV
Date: 04-2019
Publisher: Elsevier BV
Date: 06-2017
Publisher: Wiley
Date: 04-2022
DOI: 10.1002/PRS.12361
Abstract: Daily operations onboard ships are very challenging due to man–machine interactions. To improve daily operational safety and to prevent losses due to machinery breakdown, effective risk management techniques need to be developed, considering various operational and environmental factors affecting the seafarers' performance. The current study explains the comparison between simulation and conventional classroom training to enhance safety in maritime operations in compromised environments. The contribution of this study lies in introducing the concept of social fidelity in simulator‐based training. This study bridges the gap between computer technology and collaborative learning activities in simulator‐based training. The result obtained through the simulation improves marine engineers' training and enhances the reliability of marine engines. This paper concludes by proposing a set of recommendations for the future design of simulator‐based training for marine engineers.
Publisher: Elsevier BV
Date: 09-2020
Publisher: Elsevier BV
Date: 05-2016
Publisher: Elsevier BV
Date: 09-2020
Publisher: Wiley
Date: 06-05-2016
DOI: 10.1002/PRS.11829
Publisher: Elsevier BV
Date: 06-2023
Publisher: Elsevier BV
Date: 05-2018
Publisher: Elsevier BV
Date: 2020
DOI: 10.1016/J.SCITOTENV.2019.134248
Abstract: This study provides a new approach of electrode dependent anaerobic ammonium oxidation (electroanammox) in microbial fuel cell (MFC) integrated hybrid constructed wetlands (CWs). The study was carried out in three CWs, each with a horizontal flow (HF) followed by a vertical upflow (VUF). Two of the CWs were integrated with MFC, one was operated in closed circuit (CL) mode and the other in open circuit (OP) mode to determine the influence of electron transfer through an external electrical circuit. The initial nitrogen and carbon concentration were 40 mg/l and 880 mg/l respectively. The total nitrogen (TN), NH
Publisher: SAGE Publications
Date: 21-04-2016
Abstract: Spray modelling is one of the most useful techniques to characterize engine performance, efficiency and emissions. The size of droplets is one of the key variables that govern the efficiency of combustion of the liquid fuel. This study aims to develop an interactive tool using MATLAB codes that identifies the droplets and their sizes from the image taken with the long distance microscope in the spray chamber setup. In this developed method, firstly the background of the image was removed and then image processing techniques, dilation and erosion, were applied to the image file to refine the image files. Subsequently, circle detection method based on the Hough Transform algorithm with the function of imfindcircles was implemented. This function of the program allows the user to identify size droplets from the image files. A statistical study was conducted with the results automated from the MATLAB program using a different set of threshold values of black and white contrast. The results showed an optimal range for the threshold (black and white) values between 40 and 70. This optimal threshold range was established based on consideration of the correct and incorrect identification of the droplets. The results indicated that the program has the ability to identify the droplet providing size and numbers. The MATLAB program was developed using MATLAB compiler and can be used at different workstations.
Publisher: Springer Science and Business Media LLC
Date: 03-03-2022
Publisher: Elsevier BV
Date: 08-2018
Publisher: Elsevier BV
Date: 11-2017
Publisher: Elsevier BV
Date: 02-2018
Publisher: Elsevier BV
Date: 09-2022
Publisher: Elsevier BV
Date: 05-2017
Publisher: Elsevier BV
Date: 06-2018
Publisher: Faculty of Navigation
Date: 2019
Publisher: Elsevier BV
Date: 09-2019
Publisher: Springer Science and Business Media LLC
Date: 02-2019
Publisher: Faculty of Navigation
Date: 2019
Publisher: Elsevier BV
Date: 2017
Publisher: Elsevier BV
Date: 12-2021
Publisher: Wiley
Date: 28-09-2016
DOI: 10.1002/PRS.11854
Publisher: Elsevier BV
Date: 05-2017
Publisher: Elsevier BV
Date: 06-2021
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Publisher: Royal Institution of Naval Architects
Date: 12-2018
DOI: 10.3940/RINA.IJME.2018.A4.500
Abstract: The objective of this study is to develop a shipping emission inventory model incorporating Machine Learning (ML) tools to estimate gaseous emissions. The tools enhance the emission inventories which currently rely on emission factors. The current inventories apply varied methodologies to estimate emissions with mixed accuracy. Comprehensive Bottom-up approach have the potential to provide very accurate results but require quality input. ML models have proven to be an accurate method of predicting responses for a set of data, with emission inventories an area unexplored with ML algorithms. Five ML models were applied to the emission data with the best-fit model judged based on comparing the real mean square errors and the R-values of each model. The primary gases studied are from a vessel measurement c aign in three modes of operation berthing, manoeuvring, and cruising. The manoeuvring phase was identified as key for model selection for which two models performed best.
Publisher: Elsevier BV
Date: 06-2018
Publisher: Elsevier BV
Date: 05-2021
Publisher: Elsevier BV
Date: 07-2018
Publisher: Elsevier BV
Date: 08-2020
Publisher: Elsevier BV
Date: 08-2023
Publisher: Elsevier BV
Date: 06-2023
Publisher: Elsevier BV
Date: 2017
Publisher: Wiley
Date: 20-01-2022
DOI: 10.1002/PRS.12337
Abstract: Commercial shipping is currently dominated by mega container vessels. The shipping industry has seen a 10‐fold increase in the size of containers over the last four decades. These vessels are propelled by large marine diesel engines, hereafter referred to as the main engine. The performance of the main engine is determined by its subsystems. An important part of the main engine is the turbocharging system, which contributes to its safety, efficiency, and reliability. In this study, the effectiveness and reliability of the turbocharging system are evaluated. The Australian Maritime College has a Kongsberg Engine Simulator that can produce a variety of malfunctions on a running engine's turbocharging system. Analyzing the results obtained from the simulator determines the efficiency of the turbochargers. The study will provide recommendations for improving the safety of the turbocharging system for better performance to be achieved by the turbochargers, leading to an improvement in the main engine's performance. Last, the reliability of the turbocharging system is evaluated quantitatively using a fault tree analysis and reliability block diagrams. This will enable an optimum maintenance strategy to be established to ensure the safe operation of the vessel.
Publisher: Elsevier BV
Date: 03-2018
Publisher: Elsevier BV
Date: 02-2020
Publisher: Elsevier BV
Date: 07-2016
Publisher: Elsevier BV
Date: 11-2019
Publisher: Informa UK Limited
Date: 03-12-0009
Publisher: Elsevier BV
Date: 09-2017
Publisher: Elsevier BV
Date: 10-2018
DOI: 10.1016/J.MARPOLBUL.2018.08.030
Abstract: There is significant risk associated with increased oil and gas exploration activities in the Arctic Ocean. This paper presents a probabilistic methodology for Ecological Risk Assessment (ERA) of accidental oil spills in this region. A fugacity approach is adopted to model the fate and transport of released oil, taking into account the uncertainty of input variables. This assists in predicting the 95th percentile Predicted Exposure Concentration (PEC
Publisher: Elsevier BV
Date: 2018
Publisher: Elsevier BV
Date: 11-2017
Publisher: Elsevier
Date: 2019
Publisher: Elsevier BV
Date: 02-2019
Publisher: Springer Science and Business Media LLC
Date: 09-11-2018
Publisher: Elsevier BV
Date: 02-2018
Publisher: Elsevier BV
Date: 04-2020
DOI: 10.1016/J.JHAZMAT.2019.121722
Abstract: A constructed wetland (CW) microcosm based on conductive graphite gravel was investigated for hexavalent chromium (Cr(VI)) treatment from synthetic wastewater. Its performance was evaluated and compared with a traditional gravel-based CW microcosm. The microcosms were operated at varying initial Cr(VI) concentrations (5-20 mg/L) and hydraulic retention times (HRT) (3-7.5 h). Near complete treatment (99.9 ± 0.06 %) was achieved in the graphite-based microcosm throughout the experiment. The performance was consistently high throughout with 42.9 % improvement in Cr (VI) treatment compared to a traditional gravel microcosm. Scanning electron microscopy with energy dispersive X-ray spectroscopy (SEM-EDX) analysis indicated that chromium was adsorbed to microbial biofilms. Moreover, microbial ersity profiling suggested that the microbial population in both microcosms differed in ersity and communities. The results suggest that the use of conductive materials in CW significantly enhances the treatment of Cr(VI) and more importantly, allows microbial activity even at high levels of Cr(VI) in the CW.
Publisher: Elsevier BV
Date: 07-2016
Publisher: ASME International
Date: 09-06-2017
DOI: 10.1115/1.4036832
Abstract: Modeling depth of long-term pitting corrosion is of interest for engineers in predicting the structural longevity of ocean infrastructures. Conventional models demonstrate poor quality in predicting the long-term pitting corrosion depth. Recently developed phenomenological models provide a strong understanding of the pitting process however, they have limited engineering applications. In this study, a novel probabilistic model is developed for predicting the long-term pitting corrosion depth of steel structures in marine environment using Bayesian network (BN). The proposed BN model combines an understanding of corrosion phenomenological model and empirical model calibrated using real-world data. A case study, which exemplifies the application of methodology to predict the pit depth of structural steel in long-term marine environment, is presented. The result shows that the proposed methodology succeeds in predicting the time-dependent, long-term anaerobic pitting corrosion depth of structural steel in different environmental and operational conditions.
Publisher: Elsevier BV
Date: 2020
Publisher: Begell House
Date: 2018
Publisher: Elsevier BV
Date: 08-2018
Publisher: Elsevier BV
Date: 08-2021
Publisher: Elsevier BV
Date: 08-2020
Publisher: Faculty of Navigation
Date: 2023
Publisher: Copernicus GmbH
Date: 14-08-2019
Abstract: Abstract. Rain gauges are unevenly spaced around the world with extremely low gauge density over developing countries. For instance, in some regions in Africa the gauge density is often less than one station per 10 000 km2. The availability of rainfall data provided by gauges is also not always guaranteed in near real time or with a timeliness suited for agricultural and water resource management applications as gauges are also subject to malfunctions and regulations imposed by national authorities. A potential alternative are satellite-based rainfall estimates, yet comparisons with in-situ data suggest they're often not optimal. In this study, we developed a short-latency (i.e., 2–3 days) rainfall product derived from the combination of the Integrated Multi-Satellite Retrievals for GPM early run (IMERG-ER) with multiple satellite soil moisture-based rainfall products derived from ASCAT, SMOS and SMAP L3 satellite soil moisture (SM) retrievals. We tested the performance of this product over four regions characterized by high quality ground-based rainfall datasets (India, Conterminous United States, Australia and Europe) and over data scarce regions in Africa and South America by using Triple Collocation analysis (TC). We found the integration of satellite SM observations with in-situ rainfall observations is very beneficial with improvements of IMERG-ER up to 20 % and 40 % in terms of correlation and error, respectively, and a generalized enhancement in terms of categorical scores with the integrated product often outperforming reanalysis and ground-based long latency datasets. Given the importance of a reliable and readily available rainfall product for water resource management and agricultural applications over data scarce regions, the developed product can provide a valuable and unique source of rainfall information for these regions.
Publisher: Elsevier BV
Date: 2023
No related organisations have been discovered for Vikram Garaniya.
Start Date: 2016
End Date: 2016
Funder: Tasmanian Community Fund
View Funded ActivityStart Date: 06-2023
End Date: 06-2028
Amount: $4,930,205.00
Funder: Australian Research Council
View Funded ActivityStart Date: 08-2022
End Date: 07-2023
Amount: $320,000.00
Funder: Australian Research Council
View Funded Activity