处理海洋垃圾的风险框架

IF 2.7 3区 化学 Q2 CHEMISTRY, ANALYTICAL
B. D. Hardesty and C. Wilcox
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引用次数: 22

摘要

从系统的角度理解塑料污染需要一种概念化环境中的来源、分布和动态的方法;确定或量化对野生动物、人类和其他资产的影响;识别和评估潜在的管理反应。我们知识中的不确定性以及令人满意地解决它们的困难可能是具有挑战性的,因为大规模的实验是困难或不可能的,因此我们仅限于使用大量的观测数据。为了推进这一领域的研究,我们建议应用一个概念框架,使我们能够将组件分解成更小的部分,这些部分可以整合不确定性,并将感兴趣的变量与感兴趣的结果联系起来。我们确定了风险框架固有的四个具体问题:前三个问题侧重于风险分析,第四个问题侧重于风险管理或缓解。我们提出了数据丰富和数据贫乏的例子,并讨论了整合系统视角的价值,将资源和驱动因素与动态和分布联系起来,以影响和管理响应。我们还建议对塑料污染问题进行风险分析,因为我们承认并接受不确定性,注意到预防原则及其在风险管理中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A risk framework for tackling marine debris

A risk framework for tackling marine debris

Understanding plastic pollution from a systems perspective requires a way of conceptualizing sources, distribution and dynamics in the environment; identifying or quantifying impacts on wildlife, humans and other assets; and identifying and evaluating potential management responses. The uncertainties in our knowledge and the difficulty in resolving them satisfactorily can be challenging, given that we are confined to working with largely observational data because experiments at scale are difficult or impossible. To advance this area of research, we suggest applying a conceptual framework that allows us to break the components into smaller parts that can integrate uncertainty and connect variables of interest to outcomes of interest. We identify four specific questions inherent to a risk framework: the first three focus on risk analysis, and the fourth on risk management or mitigation. We present examples that are both data rich and data poor and discuss the value of integrating a systems perspective, connecting sources and drivers to dynamics and distribution to impacts and management responses. We also propose applying risk analysis to the plastics pollution issue as we acknowledge and embrace uncertainty, noting the precautionary principle and its application to risk management.

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来源期刊
Analytical Methods
Analytical Methods CHEMISTRY, ANALYTICAL-FOOD SCIENCE & TECHNOLOGY
CiteScore
5.10
自引率
3.20%
发文量
569
审稿时长
1.8 months
期刊介绍: Early applied demonstrations of new analytical methods with clear societal impact
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