Environmental risk assessment in a contaminated estuary: An integrated weight of evidence approach as a decision support tool. (1st July 2017)
- Record Type:
- Journal Article
- Title:
- Environmental risk assessment in a contaminated estuary: An integrated weight of evidence approach as a decision support tool. (1st July 2017)
- Main Title:
- Environmental risk assessment in a contaminated estuary: An integrated weight of evidence approach as a decision support tool
- Authors:
- Caeiro, S.
Vaz-Fernandes, P.
Martinho, A.P.
Costa, P.M.
Silva, M.J.
Lavinha, J.
Matias-Dias, C.
Machado, A.
Castanheira, I.
Costa, M.H. - Abstract:
- Abstract: Environmental risk assessment of complex ecosystems such as estuaries is a challenge, where innovative and integrated approaches are needed. The present work aimed at developing an innovative integrative methodology to evaluate in an impacted estuary (the Sado, in Portugal, was taken as case study), the adverse effects onto both ecosystem and human health. For the purpose, new standardized lines of evidence based on multiple quantitative data were integrated into a weight of evidence according to a best expert judgment approach. The best professional judgment for a weight of evidence approach in the present study was based on the following lines of evidence: i) human contamination pathways; ii) human health effects: chronic disease; iii) human health effects: reproductive health; iv) human health effects: health care; v) human exposure through consumption of local agriculture produce; vi) exposure to contaminated of water wells and agriculture soils; vii) contamination of the estuarine sedimentary environment (metal and organic contaminants); viii) effects on benthic organisms with commercial value; and ix) genotoxic potential of sediments. Each line of evidence was then ordinally ranked by levels of ecological or human health risk, according to a tabular decision matrix and expert judgment. Fifteen experts scored two fishing areas of the Sado estuary and a control estuarine area, in a scale of increasing environmental risk and management actions to be taken. TheAbstract: Environmental risk assessment of complex ecosystems such as estuaries is a challenge, where innovative and integrated approaches are needed. The present work aimed at developing an innovative integrative methodology to evaluate in an impacted estuary (the Sado, in Portugal, was taken as case study), the adverse effects onto both ecosystem and human health. For the purpose, new standardized lines of evidence based on multiple quantitative data were integrated into a weight of evidence according to a best expert judgment approach. The best professional judgment for a weight of evidence approach in the present study was based on the following lines of evidence: i) human contamination pathways; ii) human health effects: chronic disease; iii) human health effects: reproductive health; iv) human health effects: health care; v) human exposure through consumption of local agriculture produce; vi) exposure to contaminated of water wells and agriculture soils; vii) contamination of the estuarine sedimentary environment (metal and organic contaminants); viii) effects on benthic organisms with commercial value; and ix) genotoxic potential of sediments. Each line of evidence was then ordinally ranked by levels of ecological or human health risk, according to a tabular decision matrix and expert judgment. Fifteen experts scored two fishing areas of the Sado estuary and a control estuarine area, in a scale of increasing environmental risk and management actions to be taken. The integrated assessment allowed concluding that the estuary should not be regarded as impacted by a specific toxicant, such as metals and organic compounds hitherto measured, but by the cumulative risk of a complex mixture of contaminants. The proven adverse effects on species with commercial value may be used to witness the environmental quality of the estuarine ecosystem. This method argues in favor of expert judgment and qualitative assessment as a decision support tool to the integrative management of estuaries. Namely it allows communicating environmental risk and proposing mitigation measures to local authorities and population under a holistic perspective as an alternative to narrow single line of evidence approaches, which is mandatory to understand cause and effect relationships in complex areas like estuaries. Highlights: A weight of evidence approach was used based on 9 lines of evidence and best professional judgment. An integrated environmental risk assessment was proposed combining ecological and human health risk. Expert judgment is helpful as a decision support tool for integrative management of estuaries. Sado Estuary in Portugal was used as case study. … (more)
- Is Part Of:
- Ocean & coastal management. Volume 143(2017)
- Journal:
- Ocean & coastal management
- Issue:
- Volume 143(2017)
- Issue Display:
- Volume 143, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 143
- Issue:
- 2017
- Issue Sort Value:
- 2017-0143-2017-0000
- Page Start:
- 51
- Page End:
- 62
- Publication Date:
- 2017-07-01
- Subjects:
- Environmental risk assessment -- Integrative management -- Human and ecosystem health -- Combined pollutants -- Weight of evidence -- Expert judgment -- Sado estuary
Marine resources -- Management -- Periodicals
Coastal zone management -- Periodicals
Coastal ecology -- Periodicals
Ressources marines -- Périodiques
Littoral -- Aménagement -- Périodiques
Écologie littorale -- Périodiques
Coastal ecology
Coastal zone management
Marine resources -- Management
Periodicals
Electronic journals
551.46 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09645691 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ocecoaman.2016.09.026 ↗
- Languages:
- English
- ISSNs:
- 0964-5691
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6231.271920
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 2218.xml