An Open-source Shiny Tool for the Derivation of Human Health Water Quality Criteria using Probabilistic Risk Assessment.

IF 3 4区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES
Jayme Coyle, Bradley Barnhart, Giffe Johnson
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引用次数: 0

Abstract

Under Section 304(a) of the Clean Water Act, EPA is mandated to develop national recommended human health water quality criteria (HHWQC) which represent the concentration of specific chemicals, biologicals, and physical conditions in ambient water not expected to adversely affect human health. To date, EPA has set HHWQC using the deterministic approach for key exposure parameters for criteria development. However, these methods do not account for variability or uncertainty, and may substantially misestimate risk for the general population. Probabilistic approaches address these issues, but they have been hampered by several factors, including time and resource complexity, technical expertise requirements, lack of amenable open-source software, and lack of certainty regarding EPA approval. Here, we describe a new R Shiny tool, Surface Water Probabilistic Risk Online, developed for deriving HHWQC using either deterministic or probabilistic approaches to derive HHWQC for 105 chemicals for multiple risk management scenarios simultaneously. For the probabilistic approach, alternate distributions of body weight, fish consumption rate, and daily water intake can be parameterized using the tool's custom distribution module. The results of the tool can be aggregated and downloaded for record-keeping, reporting, and further analysis purposes. Given the flexibility and simplicity of the tool, development of probabilistic-based HHWQC may become more accessible for States' upcoming criteria reviews.

使用概率风险评估的人类健康水质标准衍生的开源闪亮工具。
根据《清洁水法》第304(a)条,环境保护局被授权制定国家推荐的人类健康水质标准(HHWQC),该标准代表了环境水中特定化学物质、生物制剂的浓度,以及预计不会对人类健康产生不利影响的物理条件。迄今为止,EPA已经使用确定性方法设置了HHWQC,用于制定标准的关键暴露参数。然而,这些方法没有考虑到可变性或不确定性,并且可能在很大程度上错误估计了一般人群的风险。概率方法解决了这些问题,但它们受到几个因素的阻碍,包括时间和资源复杂性,技术专长要求,缺乏可适应的开源软件,以及缺乏EPA批准的确定性。在这里,我们描述了一个新的R Shiny工具,地表水概率风险在线,开发用于使用确定性或概率方法推导HHWQC,同时为多种风险管理方案推导105种化学品的HHWQC。对于概率方法,可以使用该工具的自定义分布模块参数化体重、鱼类消耗率和每日饮水量的交替分布。工具的结果可以被聚合和下载,用于记录保存、报告和进一步的分析目的。鉴于该工具的灵活性和简单性,基于概率的HHWQC的开发可能更容易用于各国即将进行的标准审查。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Integrated Environmental Assessment and Management
Integrated Environmental Assessment and Management ENVIRONMENTAL SCIENCESTOXICOLOGY&nbs-TOXICOLOGY
CiteScore
5.90
自引率
6.50%
发文量
156
期刊介绍: Integrated Environmental Assessment and Management (IEAM) publishes the science underpinning environmental decision making and problem solving. Papers submitted to IEAM must link science and technical innovations to vexing regional or global environmental issues in one or more of the following core areas: Science-informed regulation, policy, and decision making Health and ecological risk and impact assessment Restoration and management of damaged ecosystems Sustaining ecosystems Managing large-scale environmental change Papers published in these broad fields of study are connected by an array of interdisciplinary engineering, management, and scientific themes, which collectively reflect the interconnectedness of the scientific, social, and environmental challenges facing our modern global society: Methods for environmental quality assessment; forecasting across a number of ecosystem uses and challenges (systems-based, cost-benefit, ecosystem services, etc.); measuring or predicting ecosystem change and adaptation Approaches that connect policy and management tools; harmonize national and international environmental regulation; merge human well-being with ecological management; develop and sustain the function of ecosystems; conceptualize, model and apply concepts of spatial and regional sustainability Assessment and management frameworks that incorporate conservation, life cycle, restoration, and sustainability; considerations for climate-induced adaptation, change and consequences, and vulnerability Environmental management applications using risk-based approaches; considerations for protecting and fostering biodiversity, as well as enhancement or protection of ecosystem services and resiliency.
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