Edoardo Bertone

ORCID: 0000-0002-9980-5268
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About
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Research Areas
  • Water resources management and optimization
  • Water Quality and Pollution Assessment
  • Water-Energy-Food Nexus Studies
  • Hydrological Forecasting Using AI
  • Water Quality Monitoring and Analysis
  • Marine and coastal ecosystems
  • Water Quality Monitoring Technologies
  • Water Systems and Optimization
  • Flood Risk Assessment and Management
  • Hydrology and Watershed Management Studies
  • Aquatic Ecosystems and Phytoplankton Dynamics
  • Groundwater flow and contamination studies
  • Building Energy and Comfort Optimization
  • Groundwater and Isotope Geochemistry
  • Smart Grid Energy Management
  • Fecal contamination and water quality
  • Complex Systems and Decision Making
  • Wastewater Treatment and Reuse
  • Water Treatment and Disinfection
  • Reservoir Engineering and Simulation Methods
  • Energy Efficiency and Management
  • Fish Ecology and Management Studies
  • Sustainability and Climate Change Governance
  • Sustainable Building Design and Assessment
  • Groundwater and Watershed Analysis

Griffith University
2016-2025

Commonwealth Scientific and Industrial Research Organisation
2024

Curtin University
2024

Swinburne University of Technology
2017

Seqwater
2015

This paper systematically reviewed system dynamics applications in water resource management with respect to spatial factors, research aims, modelling sub-systems and model calibration validation methods. Decision-making context, consideration of climate change, scenarios or measures were also examined. Results showed that the critical conceptual development phases are often neglected only 40% articles developing causal loop diagrams, three studies identifying archetypes. Most publications...

10.1016/j.cesys.2021.100031 article EN cc-by-nc-nd Cleaner Environmental Systems 2021-04-02

Abstract Achieving the Sustainable Development Goals (SDGs) is contingent on managing complex interactions that create synergies and trade‐offs between different goals. It is, therefore, important to improve our understanding of them, their underlying causal drivers, future behaviors, policy implications. Prominent methods interaction analysis focus modeling or data‐driven statistical correlation are often insufficient for giving an integrated view drivers complexity. These also usually too...

10.1029/2022ef002873 article EN Earth s Future 2022-08-31

Optical sensors for fluorescence of chlorophyll a (f-Chl a) and phycocyanin (f-PC) are increasingly used as proxy biomass algae cyanobacteria, respectively. They provide measurements at high-frequency modest cost. These require site-specific calibration due to range interferences. Light intensity affects the yield cyanobacteria through light harvesting regulation mechanisms, but is often neglected potential source error in-situ f-Chl f-PC measurements. We hypothesised that diel variations...

10.1016/j.watres.2021.117133 article EN cc-by Water Research 2021-04-09

ABSTRACT The health and resilience of the Great Barrier Reef ecosystems are affected by complex dynamics interconnected processes. A systems thinking approach can aid to comprehensively understand past, current future system behaviour, thereby informing effective decision‐making. qualitative conceptual model was developed based on theory critical literature reviews, giving consideration non‐linear feedbacks that determine structure behaviour system. indicates feedback is governed...

10.1002/sres.3145 article EN Systems Research and Behavioral Science 2025-02-19

The recent deployment of fluorescent dissolved organic matter (fDOM) probes in dam catchments and drinking water treatment plants (DWTP) for quality monitoring purposes has resulted the production a large amount data that requires scientific evaluation. This study introduces comprehensive, transferable methodological framework scientists professionals to model fluorescence site-specific quenching on fDOM probe readings caused by temperature, suspended particles, inner filter effect (IFE)...

10.3390/w10091146 article EN Water 2018-08-27

Tarago Reservoir, Victoria, Australia. This study investigates the influence of rainfall, river inflow and wind on temperature stratification Reservoir by incorporating atmospheric bathymetric conditions using a three-dimensional hydrodynamic model. In this study, (3D) model was developed applied to Reservoir. The allowed 3D visualization thermal structure, seasonal longitudinal differences in could be quantified Schmidt stability index. simulation results revealed structure among riverine,...

10.1016/j.ejrh.2020.100699 article EN cc-by-nc-nd Journal of Hydrology Regional Studies 2020-05-31
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