Integrated Environmental Assessment and Management最新文献

{"title":"Sensitivity Analysis of Human Health Surface Water Quality Criteria: A Case Study Using Perfluorooctane Sulfonic Acid.","authors":"Betsy Ruffle, Gemma Kirkwood, Kelly Vosnakis, Craig W Davis, Paul Koster Van Groos, Anita Thapalia","doi":"10.1093/inteam/vjaf097","DOIUrl":"https://doi.org/10.1093/inteam/vjaf097","url":null,"abstract":"<p><p>Human health surface water quality criteria (SWQC) for perfluorooctane sulfonic acid (PFOS) vary by up to five orders of magnitude between jurisdictions. The current study undertakes a probabilistic analysis to calculate a range of PFOS SWQC and rank input parameters based on their influence on criteria derivation. Probability distributions were used for exposure parameters (e.g., fish consumption rate, body weight, bioaccumulation factors), as well as the noncancer toxicity factor, which itself ranges over three orders of magnitude. Three distributions of the PFOS reference dose were evaluated: one based on animal data, one based on human data, and one based on both animal and human data. Using the three reference dose distributions, the 10th percentile SWQC range from 0.1 ng/L to 3 ng/L. Using the distribution based on human toxicity data only, approximately two thirds of the distribution of SWQC falls below typical analytical detection limits (around 1 ng/L). The sensitivity analysis identified fish consumption rate and PFOS toxicity factor as the most influential parameters, followed by bioaccumulation factors and relative source contribution. The application of probabilistic risk assessment as used in this study provides a useful tool for calculating a range of possible SWQC and understanding the relative importance of input parameters. The method of sensitivity analysis can be adapted to any chemical and target population.</p>","PeriodicalId":13557,"journal":{"name":"Integrated Environmental Assessment and Management","volume":" ","pages":""},"PeriodicalIF":8.4,"publicationDate":"2025-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144775330","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Challenges and opportunities for the environmental risk assessment of chemicals in soils: a recap and follow-up of a setac webinar.","authors":"Pia Kotschik, Mathieu Renaud, Juliska Princz, Ingrid Rijk, Ulrich Menke, Bonnie Brooks, Silvia Pieper, Cornelis A M van Gestel, Diana Vieira, Vera Silva, David Russell, Tiago Natal- da-Luz, Claudia Lima, Paola Grenni","doi":"10.1093/inteam/vjaf102","DOIUrl":"https://doi.org/10.1093/inteam/vjaf102","url":null,"abstract":"<p><p>Soil sustainability is unquestionable but is under various threats, one of which includes chemical pollution. Under the vision of reaching healthy soils by 2050, the SETAC Webinar \"Assessing Risks in Soil: Challenges and Opportunities\" was held to understand the current state of soil health in Europe and, identify gaps in the environmental risk assessment (ERA) framework for chemicals entering soils. In reflection of the webinar and soil protection, strategies to describe the current state of soils, including knowledge on existing chemical pollution in soils and soil biodiversity metrics are discussed. With respect to soil pollution by chemicals, the current ERA framework was analysed to identify gaps and needs to protect in-soil biodiversity exposed to chemicals. Here, the importance of soil monitoring and cyclical feedback mechanisms for ERA is highlighted as well as the need to shift the current ERA framework towards a holistic approach that considers long-term impacts on in-soil organisms and soil biodiversity under realistic conditions. Two methods (terrestrial model ecosystems and trait-based approaches) are reviewed as potential suitable tools for the detection of community level effects within the ERA of chemicals entering soils. Finally, the need for cooperation and engagement between member states and stakeholders is tabled.</p>","PeriodicalId":13557,"journal":{"name":"Integrated Environmental Assessment and Management","volume":" ","pages":""},"PeriodicalIF":8.4,"publicationDate":"2025-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144775329","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Probabilistic Risk Assessment Approaches Better Protect Susceptible Populations.","authors":"Jayme Coyle, Bradley Barnhart, Raymond Harbison, Kan Shao, A Wallace Hayes, Giffe Johnson","doi":"10.1093/inteam/vjaf101","DOIUrl":"https://doi.org/10.1093/inteam/vjaf101","url":null,"abstract":"<p><p>Across all of its program areas, the United States Environmental Protection Agency conducts risk assessments to evaluate the potential adverse effects of environmental hazards on ecological and human health. Traditionally, these assessments rely on deterministic methods that use point estimates for key parameters and incorporate uncertainty factors and precautionary assumptions to account for uncertainties in data and variability in environmental conditions, exposure pathways, and population characteristics. However, these approaches are unnecessarily conservative for the general population yet fail to transparently account for the vulnerabilities of susceptible populations. Probabilistic risk assessment (PRA) offers a more refined approach that utilizes distributional data to better characterize uncertainty and response. By leveraging empirical data and probabilistic modeling, PRA allows for a more transparent, precise quantification of risk that ensures targeted protection for susceptible populations. This article examines how PRA enhances each phase of risk assessment-hazard identification, dose-response assessment, exposure assessment, and risk characterization-to produce a more scientifically robust assessment of risk for susceptible populations, including both human and ecological receptors. We review the literature and discuss practical applications of PRA in regulatory contexts to illustrate its advantages over deterministic approaches. Finally, we discuss key implementation challenges and propose future research directions to advance risk assessment methodologies and improve policy decision-making.</p>","PeriodicalId":13557,"journal":{"name":"Integrated Environmental Assessment and Management","volume":" ","pages":""},"PeriodicalIF":8.4,"publicationDate":"2025-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144753259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advanced methods for soil and water remediation: Introduction to the RemTech Europe 2023 special Series.","authors":"Paola Grenni, Marco Falconi","doi":"10.1093/inteam/vjaf096","DOIUrl":"https://doi.org/10.1093/inteam/vjaf096","url":null,"abstract":"<p><p>Many soil and water ecosystems are in poor condition. Contamination, among the numerous anthropogenic pressures on soils, causes degradation that may completely limit provision of ecosystem services. Healthy soils and waters are fundamental to sustaining life on earth, so the development and application of sustainable and effective technologies for remediation of contaminated environments is a priority. Also important are robust contaminated site risk assessment and management processes, and the application of high-resolution techniques for pollutant characterization. In addition, the socio-economic burden of contamination presents another highly complex challenge that requires attention. This special series features selected works from REMTECH Europe 2023, including presentations regarding difficult to treat contaminants such as pesticides and perfluoroalkyl and polyfluoroalkyl substances (PFAS), and the application of tools for rapid assessment of methane emissions from contaminated soils (e.g. tunable diode laser adsorption spectroscopy mounted on drones). The Series also includes a range of advanced approaches for in situ site remediation and practical site management, together with a demonstration of how soil degradation can reduce economic land value. Overall, advanced techniques for in situ remediation together with practical management of contaminated sites were presented in a hybrid attendance event that included combined face to face and online engagement participation at RemTech Europe. This fundamental role of RemTech Europe in knowledge exchange and sharing is crucial for promoting suitable and effective methodologies for the assessment and remediation of contaminated sites.</p>","PeriodicalId":13557,"journal":{"name":"Integrated Environmental Assessment and Management","volume":" ","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144707394","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Beyond Deterministic Air Quality Modeling: A Probabilistic Screening Approach for Emission Inputs in AERMOD.","authors":"Zachery I Emerson, Tanvir R Khan","doi":"10.1093/inteam/vjaf098","DOIUrl":"https://doi.org/10.1093/inteam/vjaf098","url":null,"abstract":"<p><p>Traditional air dispersion modeling usually relies on deterministic frameworks that use multiple conservative assumptions as inputs. For example, atmospheric pollutant concentrations are often overestimated by using maximum emission rates for point sources, an approach recommended by regulatory agencies that may not reflect typical operating conditions, especially for sources with variable emissions. To better understand how emission variability affects modeled pollutant concentrations, this study presents a novel probabilistic modeling framework designed to estimate pollutant concentrations from industrial sources, with a focus on integrating variability in emission rates. The framework incorporates a Monte Carlo screening method combined with AERMOD to evaluate the atmospheric dispersion of emissions. This approach provides a more flexible and data-driven method for determining emission rates compared to traditional modeling methods. The utility of the method was demonstrated through an application to the pulp and paper industry that included modeling of nitrogen oxides (NOx) emissions from a virtual kraft pulp mill. A base AERMOD simulation, using maximum emission rates, predicted the highest concentration of ambient nitrogen dioxide (NO2), representing a worst-case scenario. In contrast, using emission rates derived from the Monte Carlo screening method, the estimated ambient NO2 concentrations were substantially lower. The method can be further enhanced by incorporating additional sources of variability and expanding its application to other pollutants.</p>","PeriodicalId":13557,"journal":{"name":"Integrated Environmental Assessment and Management","volume":" ","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144707395","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A global nectar and pollen pesticide residue database with a user interface tool for calculating residue per unit dose for different pesticide application methods.","authors":"Larry Brewer, William- Warren-Hicks, Silvia Hinarejos, Max Feken, Timothy Joseph, Bridget F O'Neill, Don Catanzaro, Timothy B Fredricks","doi":"10.1093/inteam/vjaf093","DOIUrl":"https://doi.org/10.1093/inteam/vjaf093","url":null,"abstract":"<p><p>Pollinating bee dietary risk assessment for pesticide registration requires knowledge of nectar and pollen pesticide residue concentrations following different pesticide application methods to crops. The magnitude and duration of bee dietary pesticide exposures vary according to crop attractiveness to bees, physio-chemical properties, plant characteristics, application rate, method, and timing, and soil characteristics. Regulatory authorities rely on model-generated default estimates of pollinator exposure when measured food item pesticide residue data are unavailable for pesticide active ingredients. In North America, default pesticide residue estimates for pollen and nectar are imbedded in the United States Environmental Protection Agency's BeeREX model and, depending on the application method, are derived from various model approaches and data sources. Pursuing comprehensive bee-relevant data, we compiled and analyzed pesticide residue data from nectar and pollen samples collected during numerous field studies previously submitted to the United States Environmental Protection Agency, California Department of Pesticide Regulation, Canada Pesticide Regulatory Agency, and the European Food Safety Authority by pesticide product registrants. The information was compiled into a database that is accessible through an interactive Excel® user interface termed NPRUDv1. The interactive file that makes up NPRUDv1 allows the user to generate statistical estimates of pesticide residue per unit dose (RUD) values in nectar and pollen matrices for different application methods. The values can be used to calculate nectar and pollen estimated environmental concentrations (EECs) in models to assess dietary pollinator risk. The use of this database and the NPRUDv1 tool will strengthen the dietary exposure component of pollinator pesticide risk assessments by utilizing a database of field-measured pollen and nectar residue concentrations that represent pesticide use patterns in different crops. This publication describes the procedures followed to establish a globally comprehensive nectar and pollen residue database, demonstrates the use of NPRUDv1 and demonstrates its applicability to lower tier pollinator pesticide risk assessment.</p>","PeriodicalId":13557,"journal":{"name":"Integrated Environmental Assessment and Management","volume":" ","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144698362","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Leaching Calculator: A Tool for Predicting Leachability within the Framework of the New Mobility related Hazard Classes PMT and vPvM.","authors":"Judith Klein, Dimitrios Skodras","doi":"10.1093/inteam/vjaf094","DOIUrl":"https://doi.org/10.1093/inteam/vjaf094","url":null,"abstract":"<p><p>In this study, we propose a new metric for substance mobility in extension to the already implemented use of the log Koc as a sorption constant to the organic carbon content of soils. The new metric is based on the leachability of a compound in soil, ie the fraction thereof that is predicted to be transported to shallow groundwater. Apart from including climate and soil properties of European regions, the degradation half-life in soil is used in addition to the log Koc as an important parameter. This improves the applicability of the mobility concept for substances used under European environmental conditions due to the important role of degradation on a substance's potential to pass drinking water barriers such as soil or sediment. To factor in these additional parameters, the meta-model Leaching Calculator was developed. It is based on FOCUS PELMO as the underlying model to calculate the leachability of substances. FOCUS PELMO is a mechanistic leaching model that may provide a more comprehensive understanding of a chemical's movements in the environment. While calculations with FOCUS PELMO require many substance parameters and well defined pedo-climatic scenarios, the Leaching calculator only uses the log Koc and the half-life in soil as input parameters, and subsequently calculates the leachability based on a set of PELMO computations. Mobility assessments are then derived from proposed leachability thresholds.</p>","PeriodicalId":13557,"journal":{"name":"Integrated Environmental Assessment and Management","volume":" ","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144698363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Why are PFOS Ecological Surface Water Quality Criteria So Different Between Countries? A Review of Differences in Regulatory Guidance.","authors":"Belinda Goldsworthy, Bryant Gagliardi, Betsy Ruffle, Christine Archer, Craig W Davis, Paul Koster Van Groos, Anita Thapalia","doi":"10.1093/inteam/vjaf089","DOIUrl":"https://doi.org/10.1093/inteam/vjaf089","url":null,"abstract":"<p><p>Ecological surface water quality criteria (SWQC) for perfluorooctane sulfonic acid (PFOS) vary several orders of magnitude between jurisdictions. Such differences can undermine confidence in the SWQC and their scientific basis. The current study undertakes a sensitivity analysis to investigate the factors that drive the differences observed in the PFOS SWQC published by the United States of America (USA), Australia and Canada. Each jurisdiction follows a broadly similar three-step procedure when deriving SWQC: 1) selecting reliable ecotoxicological data from the literature (Variable 1, Study Selection); 2) extracting a suite of values that are protective of individual aquatic taxa (Variable 2, Data Reduction); and 3) deriving a final singular value that is protective of aquatic ecosystems (Variable 3, SWQC Derivation). We found substantial differences between the studies deemed reliable in each jurisdiction (Variable 1). Applying each jurisdiction's data reduction and SWQC derivation procedures (Variables 2 and 3) to the other jurisdictions' datasets showed generally comparable outcomes, except for Australia. Aspects of Australia's data reduction and SWQC derivation approach were unique and resulted in materially lower (ie, greater than an order of magnitude difference) SWQC values. We suggest clarification of the scientific rationale behind the decision-making for difference-driving steps and greater alignment between jurisdictions, based on sound scientific reasoning, to increase regulatory consistency and transparency and decrease overall uncertainty in promulgated SWQC.</p>","PeriodicalId":13557,"journal":{"name":"Integrated Environmental Assessment and Management","volume":" ","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144698364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Environmental Risk Assessment for Contaminants of Emerging Concern in the Belgian Part of the North Sea.","authors":"Qiyun Zhang, Simon Hansul, Moeris Samuel, Lynn Vanhaecke, Kristof Demeestere, Karel De Schamphelaere","doi":"10.1093/inteam/vjaf092","DOIUrl":"https://doi.org/10.1093/inteam/vjaf092","url":null,"abstract":"<p><p>Belgian coastal waters are influenced by densely populated cities, industrial activities, and marine shipping, and they are therefore subject to chemical contamination. In the NewSTHEPS project (2012-2019), more than 150 contaminants of emerging concern (CECs) were detected in the Belgian Part of the North Sea, including hormones, personal care products (PCPs), pesticides, non-hormone pharmaceuticals, phenols, and phthalates. In this study, we developed and used an automated algorithm to calculate the marine screening level predicted no-effect concentration (PNECscreen) of substances, and to identify the organisms and organism groups most sensitive to these chemicals, based on ecotoxicological data from the ECOTOX Knowledgebase. By combining these PNECscreen values, existing Environmental Quality Standards (EQS) from the European Union (EU) Water Framework Directive (WFD), as well as predicted no-effect concentrations (PNECs) from other sources, with environmental concentrations of substances measured in the NewSTHEPS project, we assessed the risk of different classes of CECs at four sampling stations. The distribution of risks was comparable between open sea and harbor sampling locations, and also between samples collected with grab sampling and passive sampling. In total, 33 substances, including 11 hormones (natural and synthetic ones), two personal care products (PCPs), four pesticides, eight non-hormone pharmaceuticals, two phenols, and six phthalates, were found to be associated with potential environmental risks (median risk quotient > 1), with fish most frequently being the most sensitive organisms. The majority (23/33, ie > 80%) of these substances, particularly hormones and phthalates, have not been included in the EU WFD EQS directive's Priority List or associated Watch Lists. While the risks associated with pharmaceuticals were primarily driven by individual substances, hormones, phthalates, and pesticides with endocrine disrupting and/or neurotoxic potentials, were estimated to contribute to a 'something from nothing' effect, where mixture risk arises even when all individual components are present at concentrations below their effect thresholds.</p>","PeriodicalId":13557,"journal":{"name":"Integrated Environmental Assessment and Management","volume":" ","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144690093","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Potential for contaminant biotransport by migratory fish prior to dam removal and selective fish passage in a Great Lakes tributary.","authors":"Brandon S Gerig, Ross Gay, Reid Swanson, Gord Paterson","doi":"10.1093/inteam/vjaf087","DOIUrl":"https://doi.org/10.1093/inteam/vjaf087","url":null,"abstract":"<p><p>Dam removals and fish passage can enhance aquatic connectivity but may also promote upstream transport of legacy contaminants by migratory fish. This study assessed the potential for contaminant biotransport in Michigan's Boardman River following the planned removal of the Union Street Dam and installation of FishPass, a selective fish passage facility. We quantified polychlorinated biphenyls (PCBs), mercury (Hg), and organochlorine pesticides in carcass and egg samples from migratory species including Chinook and coho salmon, migratory rainbow trout, common white and longnose sucker, lake trout, walleye, and sea lamprey. Chinook salmon exhibited the highest PCB concentrations in both carcasses and eggs, exceeding those of rainbow trout and native suckers. Similarly, Chinook salmon were predicted to deposit up to 2,200 mg of PCBs upstream under a high run size scenario-over 80 and 100 times greater than rainbow trout and native suckers. While suckers had lower individual contaminant burdens, their relatively large run sizes contributed moderately to potential contaminant biotransport compared to rainbow trout indicating an interaction between abundance and spawner contaminant burden. Stream-resident brook and brown trout in reaches open to migratory fish had higher PCBs and lower Hg concentrations than in closed reaches, likely reflecting dietary exposure to eggs and growth dilution. These results demonstrate that the potential for contaminant biotransport varies widely among migratory species and highlights the need for managers to consider both contaminant burden and run size when making fish passage decisions to balance ecological restoration with contaminant exposure risk.</p>","PeriodicalId":13557,"journal":{"name":"Integrated Environmental Assessment and Management","volume":" ","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144617409","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}