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MODELING AS A SCIENTIFIC TOOL IN NRDA FOR OIL AND CHEMICAL SPILLS

机译:在NRDA中作为石油和化学泄漏的科学工具建模

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摘要

In natural resource damage assessments, as well as in analyses of response alternatives, modeling is a useful and effective scientific tool in assessing injury and risk. Often field data documenting spill impacts are incomplete, such that injuries are underestimated or impossible to assess. In order to quantify impacts using field observations, comprehensive sampling of affected biota is needed in both exposed and unaffected areas. Because marine organisms are so patchy in their distribution, large numbers of stations and samples within stations are needed to accurately map abundance. Such extensive sampling of all (or even selected) species affected is often not feasible, given the rapidity at which the evidence disappears (by scavenging of killed organisms and by migration of animals into the impacted area). What is feasible and cost-effective, is to estimate impacts using existing scientific knowledge of the fates and toxicity of oil components, along with as much site-specific data as is available or feasible to collect. Oil and chemical fates and effects models integrate this information into a form that may be calibrated to and/or verified with field data, such that injuries are quantified with a combined field-based and modeling approach.
机译:在自然资源损害评估以及应对方案分析中,建模是评估伤害和风险的有用且有效的科学工具。通常,记录溢出影响的现场数据是不完整的,因此伤害被低估或无法评估。为了使用实地观察量化影响,需要在受灾地区和未受灾地区全面采样受灾生物群。由于海洋生物分布不均,因此需要大量站点和站点内的样本才能准确地绘制丰度图。鉴于证据消失的速度很快(通过清除被杀死的生物并通过将动物迁移到受影响地区),对所有(甚至选定的)受影响物种进行如此大规模的采样通常是不可行的。可行和具有成本效益的是,利用对油成分的命运和毒性的现有科学知识,以及可收集或可行的尽可能多的特定地点数据,来估算影响。石油和化学的命运与影响模型会将这些信息整合为一种形式,可以根据现场数据进行校准和/或验证,从而可以结合使用基于现场和建模的方法对伤害进行量化。

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