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A generic environmental risk assessment framework for deep-sea tailings placement
Jenny L Stauber1, Merrin S Adams2, Graeme E Batley2
1CSIRO Land and Water, Lucas Heights, NSW, Australia; La Trobe University, Albury-Wodonga, NSW, Australia.
The Science of the Total Environment
|July 15, 2022
Summary
Deep-sea tailings placement (DSTP) poses significant risks to deep-sea ecosystems, primarily through smothering benthic life. A new framework identifies high-risk pathways, emphasizing the need for robust monitoring of DSTP operations.
Area of Science:
- Marine Ecology
- Environmental Science
- Risk Assessment
Background:
- Deep-sea tailings placement (DSTP) involves discharging mine tailings into the ocean.
- This process can impact pelagic and benthic organisms across various marine zones.
- Existing risk assessment methods may not fully capture DSTP's complex ecological effects.
Purpose of the Study:
- To develop and apply a novel stressor-driven environmental risk assessment (ERA) framework for DSTP.
- To identify and rank the risks associated with DSTP to marine ecosystems.
- To provide recommendations for monitoring DSTP operations.
Main Methods:
- Developed a conceptual model of DSTP exposure pathways and receptors.
- Utilized causal pathways and causal networks for eight pelagic and benthic impact zones.
- Scored causal pathway links based on likelihood and consequence to determine risk rankings.
- Applied the framework to the Batu Hijau copper mine DSTP operation as a case study.
Main Results:
- Identified 11 very high risk and 18 high risk causal pathways, primarily in benthic zones.
- Smothering of benthic biota was identified as a major risk, extending beyond predicted deposition zones.
- Recovery of affected communities is slow and may result in altered ecosystem structures.
Conclusions:
- The developed ERA framework effectively identifies significant risks associated with DSTP.
- DSTP poses substantial threats to benthic ecosystems, necessitating careful management and monitoring.
- Georeferenced causal networks are valuable tools for conducting ERAs in DSTP contexts.

