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Grant: Alliance Grants

University of Waterloo

$226,500.00

CLAWAVE - Chemical load assessments for watersheds: automation and visualization experience

FY 2022-23

Summary
Clean water supports healthy ecosystems, communities, and economies. However, in many regions of the world, including in our country, water quality is increasingly under pressure. Numerous long-term drinking water advisories remain in effect on First Nations' reserves, algal blooms are fouling our lakes, and Canadian cities are coping with more frequent floods that mobilize peak loadings of pollutants. Intensifying forest fires, changes in rainfall and snowfall, and permafrost thawing are further amplifying risks to both aquatic life and human water uses. The multifaceted challenges facing water quality call for adaptive management strategies supported by open access data that are readily transformed into actionable knowledge. The proposed CLAWAVE project will produce a user-friendly toolkit that automates the discovery, extraction, consolidation, treatment, transformation, analysis, and visualization of water quality parameters, water flows, and chemical loads in watersheds. CLAWAVE's advanced computational and visualization capabilities will be illustrated by applying them to (1) predict the watershed nutrient loads driving algal blooms in Lake Winnipeg, (2) assess the risks to water quality of northern rivers and lakes associated with permafrost thawing, and (3) estimate the changing discharge of dissolved organic carbon to the Arctic Ocean by Canadian rivers. CLAWAVE's web-based applications will support the design of long-term strategies to manage the adverse effects of water quality deterioration in Canada. CLAWAVE's storytelling and visualization capabilities will make water quality data visible and interpretable to all Canadians and, hence, enhance public participation in water quality monitoring and governance. Overall, CLAWAVE will strengthen Canada's global water research leadership.
Program
Alliance Grants
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
576742-2022
Name nom
Van Cappellen, Philippe PSJ
Department département
Earth & Environmental Sciences
Organization id
33
Institution établissement
University of Waterloo
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2022
Competition year année de concours
2022
Award amount
226500
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
403
Area of application group en
Environment
Area of application group fr
Environnement
Area of application en
Inland waters
Area of application fr
Eaux intérieures
Research subject code
4500
Research subject group en
Hydrology
Research subject group fr
Hydrologie
Research subject en
Hydrology
Research subject fr
Hydrologie
Installment
inst:1
Partie
1
Nb partie
1
Application title
CLAWAVE - Chemical load assessments for watersheds: automation and visualization experience
Application summary
Clean water supports healthy ecosystems, communities, and economies. However, in many regions of the world, including in our country, water quality is increasingly under pressure. Numerous long-term drinking water advisories remain in effect on First Nations' reserves, algal blooms are fouling our lakes, and Canadian cities are coping with more frequent floods that mobilize peak loadings of pollutants. Intensifying forest fires, changes in rainfall and snowfall, and permafrost thawing are further amplifying risks to both aquatic life and human water uses. The multifaceted challenges facing water quality call for adaptive management strategies supported by open access data that are readily transformed into actionable knowledge. The proposed CLAWAVE project will produce a user-friendly toolkit that automates the discovery, extraction, consolidation, treatment, transformation, analysis, and visualization of water quality parameters, water flows, and chemical loads in watersheds. CLAWAVE's advanced computational and visualization capabilities will be illustrated by applying them to (1) predict the watershed nutrient loads driving algal blooms in Lake Winnipeg, (2) assess the risks to water quality of northern rivers and lakes associated with permafrost thawing, and (3) estimate the changing discharge of dissolved organic carbon to the Arctic Ocean by Canadian rivers. CLAWAVE's web-based applications will support the design of long-term strategies to manage the adverse effects of water quality deterioration in Canada. CLAWAVE's storytelling and visualization capabilities will make water quality data visible and interpretable to all Canadians and, hence, enhance public participation in water quality monitoring and governance. Overall, CLAWAVE will strengthen Canada's global water research leadership.