CCS - MV Bluefin 2017 V01 Towed Video

Project Overview: A range of solutions will be required to reach globally agreed emissions reductions targets for carbon dioxide (CO2). Carbon capture and storage (CCS) is part of the suite of technologies that will contribute to lowering atmospheric emissions of CO2 from Australia's energy system. There are a wide variety of technologies at various stages of technical and commercial readiness, with more development underway for cost effective CO2 capture and storage. Our research will provide new knowledge to inform cost-efficient measurement, monitoring and verification (MMV) of the environment of CCS projects in coastal waters.\n\n--o--\n[NOTE: this record is only for the video and image data]\n\nNineteen 750 m towed video transects were completed. Site locations were chosen to coincide with dive locations to be surveyed on the second voyage in April 2018. To ensure video transects intersected seabed features of interest (dunes), transects were oriented parallel to the shore line (NE to SE), perpendicular to the dunes. Data feeds included HD video, still images of the seafloor (5s intervals) and water quality information from an ecotriplet, CTD and LiCor instrument. Habitat characteristics were characterised using the video and “Tappity” underway classification system. \n\nThe system performed well with no issues except an occasional intermittent GPS feed and slight over exposure in the still images. Water visibility was variable and generally more turbid inshore where there were high densities of gelatinous matter in the water column near the seabad (

项目概述：为达成全球共识的二氧化碳（carbon dioxide, CO₂）减排目标，需配套一系列解决方案。碳捕集与封存（Carbon capture and storage, CCS）是助力降低澳大利亚能源系统向大气排放CO₂的技术组合之一。当前存在多种处于不同技术与商业化成熟度阶段的相关技术，且针对低成本高效的CO₂捕集与封存技术仍在推进更多研发工作。本研究将产出全新知识，为沿海水域CCS项目环境的低成本高效测量、监测与核查（measurement, monitoring and verification, MMV）提供决策支撑。

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[注：本记录仅涵盖视频与图像数据]

本次共完成19段长度为750米的拖曳视频样带（towed video transects）。样带选址与2018年4月第二次科考航次待勘测的潜水点位相匹配。为确保视频样带穿越目标海底地貌（沙丘），样带走向与海岸线平行（东北至东南），且垂直于沙丘分布方向。采集的数据包含高清视频（HD video）、海底静态图像（采集间隔为5秒），以及来自生态三联传感器（ecotriplet）、温盐深仪（CTD）和LiCor仪器的水质监测信息。研究人员通过视频数据与"Tappity"行进式分类系统对栖息地特征进行了表征。

该系统运行表现良好，未出现重大故障，仅偶发GPS信号间断以及静态图像轻微过曝的问题。水体能见度存在波动，近岸区域通常更为浑浊，此处水柱中靠近海底的凝胶状物质密度较高。