J Derek Sain, Paul Wiegand, Brad Barnhart, Camille Flinders
{"title":"用概率方法改进土地应用生物固体的风险评估。","authors":"J Derek Sain, Paul Wiegand, Brad Barnhart, Camille Flinders","doi":"10.1093/inteam/vjaf049","DOIUrl":null,"url":null,"abstract":"<p><p>Land application of municipal and industrial wastewater biosolids for use as a fertilizer or soil conditioner is a common practice in the United States. Regulations are in place to reduce pathogens, minimize disease vectors, and limit concentrations of nutrients and some metals, but extensive assessment of the risk of biosolids-associated chemicals to human health and environmental systems is uncommon. Recently, the United States Environmental Protection Agency developed the Biosolids Tool (BST) to facilitate more comprehensive chemical risk assessment of land-applied biosolids based on a deterministic approach that utilizes conservative model inputs without regard for the variability and uncertainty inherent in environmental exposures. Management decisions based on probabilistic risk assessment (PRA), in which variability and uncertainty are quantified and risk is linked to specific population segments, may provide a more accurate understanding of risk. We examined the sediment risk assessment literature and explored the application of probabilistic model inputs within the BST to better understand how deterministic (DRA) and probabilistic (PRA) risk assessment methods compare for characterizing risk. The BST model results for noncancer and cancer risk outcomes associated with total ingestion of aluminum and benzo(a)pyrene in biosolids applied to pastureland for an adult and child indicated that PRA provides a more nuanced understanding of risk than the traditionally used deterministic approach. Receptor-specific risk patterns, model sensitivity, and risk drivers are discussed. Findings underscore the need for incorporating probabilistic methods into regulatory frameworks to improve the accuracy and reliability of risk assessments for biosolids land application.</p>","PeriodicalId":13557,"journal":{"name":"Integrated Environmental Assessment and Management","volume":" ","pages":""},"PeriodicalIF":3.0000,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Improving Risk Assessment of Land-Applied Biosolids with Probabilistic Approaches.\",\"authors\":\"J Derek Sain, Paul Wiegand, Brad Barnhart, Camille Flinders\",\"doi\":\"10.1093/inteam/vjaf049\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Land application of municipal and industrial wastewater biosolids for use as a fertilizer or soil conditioner is a common practice in the United States. Regulations are in place to reduce pathogens, minimize disease vectors, and limit concentrations of nutrients and some metals, but extensive assessment of the risk of biosolids-associated chemicals to human health and environmental systems is uncommon. Recently, the United States Environmental Protection Agency developed the Biosolids Tool (BST) to facilitate more comprehensive chemical risk assessment of land-applied biosolids based on a deterministic approach that utilizes conservative model inputs without regard for the variability and uncertainty inherent in environmental exposures. Management decisions based on probabilistic risk assessment (PRA), in which variability and uncertainty are quantified and risk is linked to specific population segments, may provide a more accurate understanding of risk. We examined the sediment risk assessment literature and explored the application of probabilistic model inputs within the BST to better understand how deterministic (DRA) and probabilistic (PRA) risk assessment methods compare for characterizing risk. The BST model results for noncancer and cancer risk outcomes associated with total ingestion of aluminum and benzo(a)pyrene in biosolids applied to pastureland for an adult and child indicated that PRA provides a more nuanced understanding of risk than the traditionally used deterministic approach. Receptor-specific risk patterns, model sensitivity, and risk drivers are discussed. Findings underscore the need for incorporating probabilistic methods into regulatory frameworks to improve the accuracy and reliability of risk assessments for biosolids land application.</p>\",\"PeriodicalId\":13557,\"journal\":{\"name\":\"Integrated Environmental Assessment and Management\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2025-04-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Integrated Environmental Assessment and Management\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://doi.org/10.1093/inteam/vjaf049\",\"RegionNum\":4,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Integrated Environmental Assessment and Management","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1093/inteam/vjaf049","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Improving Risk Assessment of Land-Applied Biosolids with Probabilistic Approaches.
Land application of municipal and industrial wastewater biosolids for use as a fertilizer or soil conditioner is a common practice in the United States. Regulations are in place to reduce pathogens, minimize disease vectors, and limit concentrations of nutrients and some metals, but extensive assessment of the risk of biosolids-associated chemicals to human health and environmental systems is uncommon. Recently, the United States Environmental Protection Agency developed the Biosolids Tool (BST) to facilitate more comprehensive chemical risk assessment of land-applied biosolids based on a deterministic approach that utilizes conservative model inputs without regard for the variability and uncertainty inherent in environmental exposures. Management decisions based on probabilistic risk assessment (PRA), in which variability and uncertainty are quantified and risk is linked to specific population segments, may provide a more accurate understanding of risk. We examined the sediment risk assessment literature and explored the application of probabilistic model inputs within the BST to better understand how deterministic (DRA) and probabilistic (PRA) risk assessment methods compare for characterizing risk. The BST model results for noncancer and cancer risk outcomes associated with total ingestion of aluminum and benzo(a)pyrene in biosolids applied to pastureland for an adult and child indicated that PRA provides a more nuanced understanding of risk than the traditionally used deterministic approach. Receptor-specific risk patterns, model sensitivity, and risk drivers are discussed. Findings underscore the need for incorporating probabilistic methods into regulatory frameworks to improve the accuracy and reliability of risk assessments for biosolids land application.
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.