Grant: Collaborative Research and Development Grants
Wilfrid Laurier University
$84,656.00
Risk assessment of metals determined using remote sensing of dissolved organic carbon
FY 2019-20
Summary
Metals can pollute the environment as a result of mining, waste and other industrial activities. To manage this pollution, water managers require tools to estimate risk of different concentrations of metals in lakes and streams. It is well established that specific water chemistry of a lake can influence the toxic effects of metals; in particular, the presence of dissolved organic matter (DOM) can decrease the toxicity of copper, nickel, lead and zinc. This effect, can quantitatively be predicted using established biotic ligand models (BLMs). For this modelling DOM is represented by the measurable quantity of dissolved organic carbon (DOC; mg C/L). Many governments recommend use of BLM approaches for establishing site-specific water quality criteria, or for risk assessment, but many local jurisdictions lack the ability to consistently and accurately measure DOC. DOC is not a routinely measured water quality parameter. Remote sensing is an active research field that might be able to address this practical data gap and help risk assessors, and water managers, to quantitatively take DOC into account when establishing metal risks for surface waters. The basis for remote sensing of DOC is that dissolved organic matter has colour (referred to as CDOM). It has not yet been demonstrated that remote sensing can accurately convert measurements of CDOM to a prediction of DOC in freshwater environments. As a proof of principle, we propose to study remote, un-impacted, lakes in Quebec using both drone- and satellite-based remote sensing methods. The estimated CDOM will be converted to DOC and ultimately, via BLM modelling, to metals risk estimates. This risk estimate will be compared to actual measured effect concentrations in samples of these same site waters. The comparison will allow us to assess the feasibility, and practicality, of remote sensing as a tool for metals, including copper, zinc, lead and nickel, risk assessment for current and future mineral extraction or waste disposal activities.
Program
Collaborative Research and Development Grants
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
531233-2018
Name nom
Smith, Scott
Department département
Chemistry and Biochemistry
Organization id
35
Institution établissement
Wilfrid Laurier University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2019
Competition year année de concours
2018
Award amount
84656
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
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
702
Area of application group en
Transportation systems and services
Area of application group fr
Services et systèmes de transport
Area of application en
Water
Area of application fr
Maritime
Research subject code
4201
Research subject group en
Geochemistry and geochronology
Research subject group fr
Géochimie et géochronologie
Research subject en
Environmental geochemistry
Research subject fr
Géochimie environnementale
Installment
inst:1 - 2
Partie
1
Nb partie
2
Application title
Risk assessment of metals determined using remote sensing of dissolved organic carbon
Keyword
NSERC
Application summary
Metals can pollute the environment as a result of mining, waste and other industrial activities. To manage this pollution, water managers require tools to estimate risk of different concentrations of metals in lakes and streams. It is well established that specific water chemistry of a lake can influence the toxic effects of metals; in particular, the presence of dissolved organic matter (DOM) can decrease the toxicity of copper, nickel, lead and zinc. This effect, can quantitatively be predicted using established biotic ligand models (BLMs). For this modelling DOM is represented by the measurable quantity of dissolved organic carbon (DOC; mg C/L). Many governments recommend use of BLM approaches for establishing site-specific water quality criteria, or for risk assessment, but many local jurisdictions lack the ability to consistently and accurately measure DOC. DOC is not a routinely measured water quality parameter. Remote sensing is an active research field that might be able to address this practical data gap and help risk assessors, and water managers, to quantitatively take DOC into account when establishing metal risks for surface waters. The basis for remote sensing of DOC is that dissolved organic matter has colour (referred to as CDOM). It has not yet been demonstrated that remote sensing can accurately convert measurements of CDOM to a prediction of DOC in freshwater environments. As a proof of principle, we propose to study remote, un-impacted, lakes in Quebec using both drone- and satellite-based remote sensing methods. The estimated CDOM will be converted to DOC and ultimately, via BLM modelling, to metals risk estimates. This risk estimate will be compared to actual measured effect concentrations in samples of these same site waters. The comparison will allow us to assess the feasibility, and practicality, of remote sensing as a tool for metals, including copper, zinc, lead and nickel, risk assessment for current and future mineral extraction or waste disposal activities.