EARLY HEARING DETECTION AND INTERVENTION VIRTUAL CONFERENCE
MARCH 2-5, 2021
(Virtually the same conference, without elevators, airplane tickets, or hotel room keys)
5/22/2018 | 11:30 AM - 11:45 AM | HYDRODYNAMIC MODELLING WITH BIG DATA IN SUPPORT OF DAM RENEWAL DECISION-MAKING | 310 A
HYDRODYNAMIC MODELLING WITH BIG DATA IN SUPPORT OF DAM RENEWAL DECISION-MAKING
The Mactaquac Generating Station (MGS), a 672 MW run-of-the-river hydroelectric facility on the main-stem of the Saint John River, New Brunswick, Canada has been in operation since 1968 with a predicted end-of-life of 2030. In 2013, the Canadian Rivers Institute began the Mactaquac Aquatic Ecosystem Study (MAES), a planned, whole-river multidisciplinary ecosystem study and manipulation of the MGS, in support of a decision-making process regarding the future of the aging facility. Future options under consideration ranged from in-situ restoration to full removal and river restoration. This dam renewal will be the largest ever undertaken.
Prediction of the potential transport and fate (or long-term retention) of post-inundation sediment and its impact on the river ecosystem, along with changes in flow patterns, were crucial aspects for decision-makers. Four-years of extensive surveys, coupled with historical information, provided multiple sources of big data that were fed into the hydrodynamic model Delft3d including: bathymetry, flood-plain topography, water level, 3D flow direction and velocity, sediment quality and quantity, water quality, and limnology. The resulting output was used in decision-making and in supporting focused models of fish habitat and environmental flows.
- Modeling
- Sediment
- Interdisciplinary
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Presenters/Authors
Gordon Yamazaki
(), University of New Brunswick, gordom.yamazaki@unb.ca;
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Katy Haralampides
(), University of New Brunswick, katy@unb.ca;
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Mouhamed Ndong
(), University of New Brunswick, mndong@unb.ca;
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Allen Curry
(), University of New Brunswick, racurry@unb.ca;
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