Monitoring the watershed in real-time
Online resource provides detailed data on water quality and hydrologic conditions
Online resource provides detailed data on water quality and hydrologic conditionsBy Victoria Van Cappellen Faculty of Science
Earth and Environmental Sciences Professor Dave Rudolph and his group within the Southern Ontario Water Consortium (SOWC) have successfully launched their smart watershed data integration platform to monitor the hydrologic conditions and water quality within a region of Ontario’s Grand River watershed and to facilitate new innovations in watershed management.
The project, in collaboration with IBM Canada, is currently streaming real-time data online from a distributed network of weather stations and surface and subsurface hydrologic sensor arrays, which collect and transmit data through wireless telemetry to a central recording location. Additional sensors will be added to the website in the coming months.
The network not only records data, but uses information from the sensors to provide automatic alerts whenever sampling frequency needs to increase during intense, short-lived environmental events like storms.
The pilot project has been installed across an 80-square-kilometre subcatchment of the Grand River watershed, the largest inland river system in southern Ontario. The Grand River watershed covers 25 per cent of the Canadian land area draining into Lake Erie. The diverse land uses within the watershed — urban, agricultural, and forested — make it an ideal testing ground for a variety of stakeholders.
Water scientists are realizing that groundwater and surface water are integrated, finite resources where physical and chemical changes in one reservoir may directly lead to changes in the other.
Unfortunately, rivers and lakes in heavily developed areas, like southern Ontario, are challenged to assimilate the cumulative inputs from wastewater treatment plants and watershed runoff.
“We can no longer depend on our water resources to solve our problems for us,” said Rudolph, also a member of the Water Institute. “Our hydrological system has lost the resilience to handle whatever we throw at it.”
Urban planners need better data to safeguard our drinking water supplies and quantify the effects of intense population growth on vital ecosystems.
In addition to monitoring climatic and surface water dynamics, the watershed monitoring infrastructure and data platform also track a wide range of parameters, including soil moisture and surface water temperature along with water quality indicators such as dissolved oxygen, pH nitrate and salinity.
Traditional watershed research has been limited by the amount of data that could be collected and analyzed. Once data from the smart watershed sensors has been transmitted to the central computer, water scientists can manage and merge data sets together and analyze the unprecedented volume of data.
“In most cases, we have the models needed to make water-related predictions, but what we often lack are the data to appropriately inform these models,” said Rudolph.
The ability to connect to the computational power of IBM software is major benefit. And the flexibility to be able to deploy the monitoring infrastructure according to a project need, combined with access to real-time data, opens up unique opportunities for working with academic and private sector partners.
The smart watershed project joins an elite, international group of projects that are revolutionizing how we monitor our water resources in the face of climate change.
The Netherlands’ Digital Delta is another ground-breaking project in collaboration with IBM that uses Big Data to transform flood control and management across the Dutch water system.
The Southern Ontario Water Consortium is a multi-institutional consortium led by University of Waterloo that supports capacity for the development and testing of water innovations. Rudolph leads the SOWC Watershed Node, one of six research or demonstration areas within the SOWC.