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Dataset for concurrent echosounder and ADCP measurements at a tidal energy candidate site in Australia

机译：澳大利亚潮汐能候选站点的并发echosounder和ADCP测量的数据集

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Interaction uncertainties between tidal energy devices and marine animals have the potential to impede the tidal energy industry as it moves closer towards commercial-scale array installations. Developing standardised environmental impact assessment (EIA) practices would allow for potential impact concerns to the marine environment to be identified and mitigated early during project development. In an effort to help formulate a standardised EIA framework that addresses knowledge gaps in fish-current interactions at tidal energy candidate sites, Scherelis et al. [1] presented a case study for investigating changes in fish aggregations in response to changing environmental conditions including tidal currents at a tidal energy candidate site in Australia prior to turbine installation. Here, we present the dataset utilised for this study titled “Investigating biophysical linkages at tidal energy candidate sites: a case study for combining environmental assessment and resource characterisation” [1]. The dataset includes tidal current information from an Acoustic Doppler Current Profiler (ADCP), volume backscattering measurements from a four-frequency biological echosounder (Acoustic Zooplankton and Fish Profiler – AZFP) as an indicator for fish biomass, and fish aggregation metrics calculated from volume backscatter in post-processing. ADCP and AZFP were installed on a bottom-mounted mooring and engaged in a concurrent sampling plan for ∼2.5 months from December 2018 to February 2019. The mooring was deployed in the Banks Strait, a tidal energy candidate site located in the northeast of Tasmania, Australia, at a location favourable for tidal turbine installations considering current speed, depth, substrate, sediment type and proximity to shore. The ADCP dataset includes current velocity and direction measurements at 1 m vertical and 1-min time intervals. The raw AZFP dataset includes volume backscattering strength collected in 4-s time intervals with a vertical resolution of 0.072 m in raw, and 0.1 m in pre-processed form. Several post-processing steps were implemented to mitigate changes in background noise due to current speed and wind stress, and to isolate acoustic fish returns from remaining scattering sources. Once isolated, volume backscatter containing fish targets underwent post-processing to determine fish aggregation metrics including density, abundance, centre of mass, dispersion,% water column occupied, evenness, and index for aggregation. Each aggregation metric was then binned by minute matched with corresponding environmental conditions for current speed, shear, temperature, diel stage, and tidal stage. Raw and processed datasets for the AZFP and ADCP are provided. Post-processed data includes the derived fish aggregation metrics along with corresponding environmental conditions. The described datasets are freely available on the Australian Ocean Data Network (AODN).
机译：潮汐能量设备和海洋动物之间的相互作用不确定性有可能妨碍潮汐能源，因为它移动更接近商业规模阵列安装。制定标准化的环境影响评估（EIA）实践将允许在项目开发期间提前确定和减轻海洋环境的潜在影响问题。努力帮助制定标准化的环境影响框架框架，解决潮汐能候选地点的渔网电流相互作用中的知识差距，Scherelis等。 [1]介绍了在涡轮机安装之前响应在澳大利亚潮气能量候选地点的变化包括潮汐电流的变化环境条件的情况下调查鱼类聚集的变化的案例研究。在这里，我们提出了用于该研究的数据集标题为“调查潮汐能候选地点的生物物理联系：用于组合环境评估和资源特征的案例研究[1]。该数据集包括来自声电流分析器（ADCP）的潮流信息，从四频生物学过度（声学Zooplankton和Fish Profiler - Azfp）中的音量反向散射测量作为鱼生物量的指示，以及从体积反向散射计算的鱼聚集度量在后处理。 ADCP和AZFP安装在底部安装的系泊上，并从2018年12月到2019年12月开始进行〜2.5个月的并发取样计划。系泊是在塔斯马尼亚东北部的潮汐能候选地部署了银行海峡。澳大利亚，在考虑当前速度，深度，基板，沉积物类型和岸边的潮汐涡轮机安装的位置。 ADCP数据集包括当前速度和方向测量以1M垂直和1分钟的时间间隔。 RAW AZFP数据集包括以4-STITE间隔收集的音量反向散射强度，垂直分辨率为0.072米，预处理形式为0.1米。实施了几个后处理步骤以减轻由于当前速度和风力应力引起的背景噪声的变化，并将声学鱼与剩余散射源隔离。一旦被隔离，容量反向散射含有鱼靶的后处理后处理以确定鱼聚集度量，包括密度，丰度，质心，分散，占用的水柱，均匀度和聚集指数。然后将每个聚集度量通过与电流，剪切，温度，Diel阶段和潮汐阶段相应的环境条件匹配。提供了AZFP和ADCP的原始和处理数据集。后处理数据包括衍生的鱼聚集度量以及相应的环境条件。所描述的数据集可在澳大利亚海洋数据网络（AODN）上免费提供。

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