Southern Ontario Water Consortium July 12, 2013 mp4

Southern Ontario Water Consortium July 12, 2013 mp4


I’m Brenda Lucas, I’m Operations
Manager for the Southern Ontario Water Consortium. And we’re out here today on Alder Creek with the monitoring team from
the University of Waterloo that’s part of the SOWC Watershed … They’re doing some stream monitoring on-site. The Southern Ontario Water Consortium is a partnership with eight universities and
we’re working together to build a platform that’s a suite of facilities for
doing water demonstration testing and development
Water Technologies across Southern Ontario. The Grand River is a large river in
Southern Ontario that’s facing growth pressures and urbanization
pressures like many rivers around the world, so the more we can understand how to supply clean drinking water, how
to manage our waste water in ways that doesn’t impact that watershed, the more we can start to develop both
watershed management techniques that will help the environment as well as create the opportunity for new innovations in
developing new products and technologies and services that will help us do that. We all live in watershed I’m
environments. Within those watersheds we we have homes, we have urban centres, we have
agricultural development — all them competing in using water in
different ways. As we move on into the future and the
stress on the watersheds grow, what we desperately need is
information to be able to predict how to maintain and manage these watersheds in
sustainable ways of the future. The data streams that we’re talking
about that will come from these fully instrumented watersheds provide us an
insight that will allow us to develop strategies and
municipalities and cities to be able to put plans together to be
able to maintain watersheds for the future. And that’s really the core goal of what we’re trying to achieve here. We’re seeing
that the re-occurrence of extreme hemispheric events —
heavy rainfalls, large melt events are occurring more
frequently. The data sets that we’re looking at
will help us decide and determine and predict whether the
area is more or less sensitive to flooding in a real-time environment merging soil data with climatic data to surface runoff
data together simultaneously give us much more insight into the possibility of flooding occurring and
being able to respond to an advance to protect downstream assets. So looking
at dense datasets and large datasets coming from multiple sensors are often interpreted as individual
data streams and what the the ability of the IBM data platform does is provide us with the
way I’ve merging those datasets together in a way that we’ve never been able to
do before. So it’s truly unprecedented in terms of our ability to merge the data and superimposing at
the emerging analytical tools that are available are going to help us and lots of
stakeholders make decisions that they weren’t able to make before with insight that’s now invaluable for
future management of watersheds.

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