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深海尾矿放置的通用环境风险评估框架。

A generic environmental risk assessment framework for deep-sea tailings placement.

机构信息

CSIRO Land and Water, Lucas Heights, NSW, Australia; La Trobe University, Albury-Wodonga, NSW, Australia.

CSIRO Land and Water, Lucas Heights, NSW, Australia.

出版信息

Sci Total Environ. 2022 Nov 1;845:157311. doi: 10.1016/j.scitotenv.2022.157311. Epub 2022 Jul 13.

DOI:10.1016/j.scitotenv.2022.157311
PMID:35839877
Abstract

Deep-sea tailings placement (DSTP) involves the oceanic discharge of tailings at depth (usually >100 m), with the intent of ultimate deposition of tailings solids on the deep-sea bed (>1000 m), well below the euphotic zone. DSTP discharges consist of a slurry of mine tailings solids (finely crushed rock) and residual process liquor containing low concentrations of metals, metalloids, flotation agents and flocculants. This slurry can potentially affect both pelagic and benthic biota inhabiting coastal waters, the continental slope and the deep-sea bed. Building on a conceptual model of DSTP exposure pathways and receptors, we developed a stressor-driven environmental risk assessment (ERA) framework using causal pathways/causal networks for each of eight pelagic and benthic impact zones. For the risk characterisation, each link in each causal pathway in each zone was scored using four levels of likelihood (not possible, possible, likely and certain) and two levels of consequence (not material, material) to give final risk rankings of low, potential, high or very high risk. Of the 246 individual causal pathways scored, 11 and 18 pathways were considered to be of very high risk and high risk respectively. These were confined to the benthic zones in the mixing zone (continental slope) and the primary and secondary deposition zones. The new risk framework was then tested using a case study of the Batu Hijau copper mine in Indonesia, the largest DSTP operation globally. The major risk of DSTP is smothering of benthic biota, even outside the predicted deposition zones. Timescales for recovery are slow and may lead to different communities than those that existed prior to tailings deposition. We make several recommendations for monitoring programs for existing, proposed and legacy DSTP operations and illustrate how georeferenced causal networks are valuable tools for ERA in DSTP.

摘要

深海尾矿处置(DSTP)涉及在深海(通常>100 米)排放尾矿,目的是将尾矿固体最终沉积在深海床(>1000 米)上,远低于透光带。DSTP 排放物由矿尾固体(细粉碎的岩石)和含有低浓度金属、类金属、浮选剂和絮凝剂的残余工艺液的浆体组成。这种浆体可能会影响沿海水域、大陆坡和深海床的浮游生物和底栖生物。在 DSTP 暴露途径和受体的概念模型基础上,我们为每个 8 个浮游生物和底栖生物影响区开发了一个基于胁迫驱动的环境风险评估(ERA)框架,使用因果途径/因果网络。对于风险特征描述,每个区域的每个因果途径中的每个环节都使用可能性的四个等级(不可能、可能、可能和确定)和后果的两个等级(不重要、重要)进行评分,以给出低、潜在、高或非常高风险的最终风险排名。在所评分的 246 个单独因果途径中,有 11 个和 18 个途径被认为具有非常高风险和高风险。这些途径仅限于混合区(大陆坡)和主要和次要沉积区的底栖区。然后,使用印度尼西亚 Batu Hijau 铜矿的案例研究对新的风险框架进行了测试,该铜矿是全球最大的 DSTP 作业。DSTP 的主要风险是底栖生物窒息,即使在预测的沉积区之外也是如此。恢复的时间尺度较慢,可能导致与尾矿沉积前存在的群落不同。我们对现有、拟议和遗留 DSTP 作业的监测方案提出了一些建议,并说明了地理参考因果网络如何成为 DSTP 中 ERA 的有用工具。

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