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Michael Di Matteo
Michael Di Matteo
Environmental Engineer, Water Technology Pty Ltd
Потвърден имейл адрес: watertech.com.au - Начална страница
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Controlling rainwater storage as a system: An opportunity to reduce urban flood peaks for rare, long duration storms
M Di Matteo, R Liang, HR Maier, MA Thyer, AR Simpson, GC Dandy, ...
Environmental modelling & software 111, 34-41, 2019
662019
Many-objective portfolio optimization approach for stormwater management project selection encouraging decision maker buy-in
M Di Matteo, HR Maier, GC Dandy
Environmental modelling & software 111, 340-355, 2019
522019
Multiobjective optimization of distributed stormwater harvesting systems
M Di Matteo, GC Dandy, HR Maier
Journal of Water Resources Planning and Management 143 (6), 04017010, 2017
442017
Optimising the design and real-time operation of systems of distributed stormwater storages to reduce urban flooding at the catchment scale
R Liang, MA Thyer, HR Maier, GC Dandy, M Di Matteo
Journal of Hydrology 602, 126787, 2021
332021
Real-time, smart rainwater storage systems: potential solution to mitigate urban flooding
R Liang, M Di Matteo, HR Maier, MA Thyer
Water 11 (12), 2428, 2019
332019
A multi-stakeholder portfolio optimization framework applied to stormwater best management practice (BMP) selection
M Di Matteo, GC Dandy, HR Maier
Environmental modelling & software 97, 16-31, 2017
272017
Optimization of WSUD systems: Selection, sizing, and layout
GC Dandy, M Di Matteo, HR Maier
Approaches to Water Sensitive Urban Design, 303-328, 2019
52019
Multiobjective Planning and Design of Distributed Stormwater Harvesting and Treatment Systems through Optimization and Visual Analytics
M Di Matteo
12016
Including varying degrees of stakeholder input in the optimisation of integrated water management planning and design
HR Maier, M Di Matteo, GC Dandy
2022
Potential benefits of real-time control to reduce urban flooding using distributed smart stormwater storage systems
R Liang, M Thyer, H Maier, M Di Matteo, G Dandy
EGU General Assembly Conference Abstracts, EGU21-8158, 2021
2021
Evaluating the benefits of smart stormwater systems: summary of research outcomes
MA Thyer, HR Maier, M Di Matteo
The University of Adelaide, 2019
2019
‘Multi-objective optimization of distributed stormwater harvesting systems’ FORTRAN code, model, optimization algorithm used, and results.
M Di Matteo, GC Dandy, HR Maier
OPTIMISING MULTI-CRITERIA ASSESSMENT TO ACHIEVE EQUITABLE STAKEHOLDER OUTCOMES IN WSUD SCHEMES
M Di Matteo, GC Dandy, HR Maier
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