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IMPROVING ENVIRONMENTAL IMPACT ASSESSMENTS USING LOCALISED FAUNA DATA

机译:使用本地化的动物区数据改善环境影响评估

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The Environmental Risk Management Capability -^sSonar (ERMC(S)) is the first operational software package that provides a comprehensive risk assessment of the potential impact of sonar usage on marine fauna. The estimates of fauna density used by the ERMC(S) software are derived from a global model of density as a function of habitat suitability. Whilst this approach provides a good basis for prediction of fauna densities, the accuracy of the model can be substantially improved by the inclusion of additional data collected in real-time at the location of the operation. Platforms often carry trained observers and/or acoustic detection equipment that can provide real-time observations of marine fauna. However, incorporating these observations into density predictions with statistical validity is not straightforward. This paper will discuss possible techniques that could be employed to incorporate such real-time information to accurately predict the location of marine fauna within the surroundings both prior to and during an operation. Additionally, this paper will discuss how this data can be used to refine the ERMC(S) risk assessment and to evaluate whether such an approach would provide a more flexible, reliable and case-specific product.
机译:环境风险管理能力 - ^ sSonar(ERMC(S))是第一操作软件包提供的声纳的使用对海洋动物的潜在影响进行全面的风险评估。动物密度由ERMC(S)软件所使用的估计是从密度的全局模型作为栖息地适宜的函数得到。虽然这种方法提供了一种用于动物密度的预测的良好基础,该模型的精度可基本上通过包含在操作位置的实时收集的附加数据的改善。平台经常携带训练有素的观察员和/或声学探测设备,可提供海洋动物的实时观测。然而,将这些观察与统计有效性密度的预测并不简单。本文将讨论可用于结合这种实时的信息来准确地预测之前和在操作过程中周围环境中的海洋动物的位置的可能技术。此外,本文将讨论这个数据如何被用于改进ERMC(S)的风险评估,并以评估这种做法是否会提供更灵活,可靠和具体案件的产品。

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