| Title | Enhancing flood and drought forecasting tools in the South Nation River Watershed |
| Download | Download (whole publication) |
| |
| Licence | Please note the adoption of the Open Government Licence - Canada
supersedes any previous licences. |
| Author | Melaney, M; Frey, S |
| Source | Regional-scale groundwater geoscience in southern Ontario: an Ontario Geological Survey, Geological Survey of Canada, and Conservation Ontario geoscientists open house; by Russell, H A J ; Ford, D; Priebe, E H; Holysh, S; Geological Survey of Canada, Open File 8363,
2018 p. 26, https://doi.org/10.4095/306552  Open
Access |
| Year | 2018 |
| Publisher | Natural Resources Canada |
| Meeting | Regional-Scale Groundwater Geoscience in Southern Ontario: Open House; Guelph; CA; February 28 - March 1, 2018 |
| Document | open file |
| Lang. | English |
| Media | on-line; digital |
| Related | This publication is contained in Regional-scale groundwater
geoscience in southern Ontario: an Ontario Geological Survey, Geological Survey of Canada, and Conservation Ontario geoscientists open house |
| File format | pdf |
| Province | Ontario |
| NTS | 31B/12; 31B/13; 31B/14; 31G/02; 31G/03; 31G/04; 31G/05; 31G/06; 31G/07; 31G/10; 31G/11 |
| Area | Ottawa; South Nation River |
| Lat/Long WENS | -76.0000 -74.5000 45.7500 44.6167 |
| Subjects | hydrogeology; environmental geology; surficial geology/geomorphology; Nature and Environment; surface waters; rivers; watersheds; resource management; regional planning; climate; floods; computer
simulations; hydrologic environment; modelling; meteorology; precipitation; soils; soil moisture; runoff; South Nation River Watershed; Climate change; Drought; mitigation; Mitigation; Forecasting |
| Program | Groundwater Geoscience Aquifer Assessment & support to mapping |
| Released | 2018 02 16 |
| Abstract | With climate change, managing the variability in changing watershed conditions, from floods to droughts, is a challenge. Having the necessary information, in a timely manner, is critical for proper
planning and implementing mitigating measures.
South Nation Conservation's (SNC) recent project with IBM and Aquanty, the development of a data-assimilation and hydrological simulation platform, aims to improve short term (1 - 14 d) forecasting of
flooding and droughts. The project will construct a real-time hydrologic model for South Nation Watershed. This fully integrated 3-dimensional groundwater - surface water model is dynamically coupled to state-of-the-art high resolution (4000 m)
short-term weather forecasts (provided by IBM's Weather Company) and real-time field sensors throughout the Watershed.
The model will enhance SNC's Flood Forecasting and Warning and Low Water Response programs with more accurate forecasts;
utilizing over 200 local weather data points (compared to the previous 3 Environment Canada stations) to capture the diversity of weather patterns across the Watershed. The new real-time sensors to collect precipitation (rain and snow) and soil
moisture will allow the model to better predict how forecasted weather events will impact watershed conditions. For example, is a significant rainfall event more likely to runoff into nearby watercourses or soak into the ground.
Beyond its direct
application to the South Nation Watershed, this project will provide a proof-of-concept demonstration of how the latest in weather forecasting and hydrologic modelling technologies can support water resources management under increasingly variable
climate/weather conditions. It is anticipated that this project will provide far-reaching benefit to SNC, local producers, municipalities, and rural landowners throughout the region
This project was made possible with funding support from
Agriculture and Agri-Food Canada. |
| Summary | (Plain Language Summary, not published)
Proceedings for a workshop in Guelph Ontario as part of the program S&T exchange. Abstracts have been contributed by Ontario Geological Survey, Ministry
of Environment and Climate Change, Conservation Authorities, Universities, private sector, and Unites States Geological Survey. |
| GEOSCAN ID | 306552 |
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