Integrated Biological Risk and Cost Model Analysis Supports a Geopolitical Shift in Ballast Water Management.

aquatic invasion ballast water management cluster analysis cost-effectiveness analysis network analysis risk assessment

Journal

Environmental science & technology
ISSN: 1520-5851
Titre abrégé: Environ Sci Technol
Pays: United States
ID NLM: 0213155

Informations de publication

Date de publication:
05 10 2021
Historique:
pubmed: 15 9 2021
medline: 16 10 2021
entrez: 14 9 2021
Statut: ppublish

Résumé

This work evaluates efficacies of plausible ballast water management strategies and standards by integrating a global species spread risk assessment with a policy cost-effectiveness analysis. Specifically, we consider species spread risks and costs of port- and vessel-based strategies under both current organism concentration standards and stricter standards proposed by California. For each scenario, we estimate species spread risks and patterns using a higher-order analysis of a global ship-borne species spread model and estimate fleet costs for vessel- and barge-based ballast water treatment systems for each standard. We find that stricter standards may reduce species spread risk by a factor of 17 globally and would greatly simplify the complex network of ship-borne species spread. The current policy of IMO standards is most cost-effectively achieved through ship-based treatment, and that any additional risk reduction will be most cost-effectively achieved by port-based (or barge-based) technologies, particularly if these are strategically implemented at the top ports within the largest clusters. Barge-based ballast water management would require a shift in governance, and we suggest that this next level of policymaking could be feasible for special areas designated by the IMO, by State or multistate authorities, or by voluntary port applications.

Identifiants

pubmed: 34520184
doi: 10.1021/acs.est.1c04009
doi:

Substances chimiques

Water 059QF0KO0R

Types de publication

Journal Article Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

12791-12800

Auteurs

Zhaojun Wang (Z)

University of Delaware, 305 Robinson Hall, Newark, Delaware 19711, United States.

Mandana Saebi (M)

University of Notre Dame, 384 Nieuwland, Notre Dame, Indiana 46556, United States.

James J Corbett (JJ)

University of Delaware, 305 Robinson Hall, Newark, Delaware 19711, United States.

Erin K Grey (EK)

Universiyt of Maine, 172 Hitchner Hall, Orono, Maine 04469, United States.

Salvatore R Curasi (SR)

Department of Biological Sciences, University of Notre Dame, 100 Galvin Life Sciences, Notre Dame, Indiana 46556, United States.

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Classifications MeSH