Journal of the Air & Waste Management Association (1995)最新文献

{"title":"Supply chain circularity and public perception in synthetic hair manufacturing: A case study.","authors":"Odunayo Lawal, Oluwatoyin Deborah Adesanya, Oluwafemi Awolesi","doi":"10.1080/10962247.2026.2639372","DOIUrl":"10.1080/10962247.2026.2639372","url":null,"abstract":"<p><p>This study examines how supply-chain circularity (SCC) translates into firm performance in Nigeria's synthetic-hair industry by testing a mediated pathway from SCC to resource-utilization efficiency (RUE) and onward to operational efficiency (OE). Motivated by the need to move beyond advocacy toward mechanism-focused evidence in developing-country contexts, we implemented a quantitative design comprising a structured questionnaire administered to industry personnel in Lagos (managers, supervisors, and production staff; <i>N</i> = 138) and a complementary public-perception survey of consumers (<i>N</i> = 382). Using Partial Least Squares Structural Equation Modeling (PLS-SEM) for the firm-side data and descriptive analysis for the consumer data, the results indicate that SCC does not exert a significant direct effect on OE; instead, SCC significantly enhances RUE, which in turn strongly improves OE, thereby validating a mediated SCC→RUE→OE mechanism consistent with the Natural Resource-Based View. Moreover, consumer evidence suggests that sustainability is salient, yet purchase decisions hinge on credible quality assurances, price fairness, hygiene and trust, alongside openness to disposal guidance. Collectively, these findings position resource-utilization efficiency as the transmission channel through which circular capabilities convert environmental intent into operational advantage. They also underscore that such operational gains are most likely to be realized in the market when firms pair efficiency improvements with visible quality signals and clear end-of-life instructions.<i>Implications</i>: The study shows that circular practices improve operations indirectly by improving resource-use efficiency, not through a direct operational effect (SCC → RUE → OE). Managers should therefore focus on strengthening resource-efficiency routines, translate those gains into market value through visible quality assurance and disciplined pricing, provide clear end-of-life guidance, and rely on supportive policies that incentivize waste reduction and better input management.</p>","PeriodicalId":520693,"journal":{"name":"Journal of the Air & Waste Management Association (1995)","volume":" ","pages":"536-547"},"PeriodicalIF":2.2,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148045409","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysis and updates to the IMPROVE Equation for estimating light extinction.","authors":"Bonne Ford, Anthony J Prenni, William Malm, Scott A Copeland, Bret A Schichtel, Jenny Hand","doi":"10.1080/10962247.2026.2651554","DOIUrl":"10.1080/10962247.2026.2651554","url":null,"abstract":"<p><p>The Clean Air Act Amendments of 1977 included protections for visibility in Class I areas, such as national parks and wilderness areas. Visibility degradation (haze) is determined from speciated aerosol mass concentrations measured by the Interagency Monitoring of Protected Visual Environments (IMPROVE) network. Mass concentrations are converted into reconstructed light extinction values using an algorithm that considers the mass extinction efficiencies (MSEs) and water uptake of different major aerosol species. This algorithm is evaluated against measured light scattering (<i>b</i>_<i>sp</i>) using nephelometers that are co-located at several IMPROVE sites. Evaluating the performance of the algorithm is critical because of its use in tracking visibility trends for the U.S. Environmental Protection Agency's (EPA's) Regional Haze Rule (RHR). Previous evaluations (2001-2016) demonstrated that the current IMPROVE reconstructed light extinction equation (Second IMPROVE Equation) suggested in the RHR guidance results in spatial and temporal biases in visibility trends, leading to greater uncertainty in reaching national visibility goals. Extending the evaluation through 2024 suggests that using the current algorithm continues to introduce biases in visibility trends, primarily due to the parameterized dependence of MSEs on mass concentrations in the equation. We recommend a revised algorithm (Third IMPROVE Equation) that removes this MSE-mass dependence and updates aerosol composition assumptions to be consistent with the most recent science. The equation is more appropriate for representing long-term trends in regulatory visibility metrics across the IMPROVE network.<i>Implications</i>: IMPROVE data are central to the EPA's Regional Haze Rule (RHR) for tracking visibility trends in Class I areas. The current light-extinction equation (Second IMPROVE Equation) improved fits with early 2000s measurement data but introduced long-term biases. We present a revised equation, based on the First IMPROVE Equation, that improves consistency with measured light scattering and long-term trends. Implementing the revision would minimally affect RHR tracking metrics. This work provides timely input to ongoing EPA evaluations of RHR metrics and implementation guidance.</p>","PeriodicalId":520693,"journal":{"name":"Journal of the Air & Waste Management Association (1995)","volume":" ","pages":"573-592"},"PeriodicalIF":2.2,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147795464","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Polonium-210 levels in placental maternal-fetal barrier: A pilot study conducted in the city of Sao Paulo, Brazil.","authors":"Carolina L Zilli Vieira, Nathália Villa Dos Santos, Paulo Saldiva, Stefania I Papatheodorou, Mariana Veras, Barbara Mazzilli, Mitiko Saiki, Rossana Francisco, Maria Rita Bortolotto, Mara Hoshida, Victor Yuji, Petros Koutrakis","doi":"10.1080/10962247.2026.2694480","DOIUrl":"https://doi.org/10.1080/10962247.2026.2694480","url":null,"abstract":"<p><p>The accumulation of detectable amounts of radon progeny in the maternal-fetal placental barrier may be a risk factor for fetal development and lifelong disabilities. In this preliminary study, we analyzed the levels of alpha-emitting radon progeny Polonium-210 (²¹⁰Po) (in Becquerel/kg) in the maternal-fetal placental barrier from placentas in Sao Paulo, SP, Brazil. Overall, there were higher levels of ²¹⁰Po at the maternal portion of the placenta 1.45 (0.34) Bq/kg when compared to the fetal placental portion [1.08 (0.35) Bq/kg]. The presence of ²¹⁰Po in the maternal-fetal placenta may indicate a potential risk of adverse pregnancy and fetal outcomes, including impaired placenta growth and fetus development potentially leading to lifelong disabilities. Future studies are warranted to identify the natural and anthropogenic sources of ²¹⁰Po in urban areas and ²¹⁰Po-related adverse pregnancy health outcomes.<i>Implications:</i> Our findings suggest that the presence of environmental ²¹⁰Po in maternal and fetal placenta tissues may indicate a potential hazard risk of adverse pregnancy outcomes and fetal health. Future studies with a larger number of pregnant women should be able to identify more accurately the biological mechanisms of the exposures to natural and anthropogenic sources of ²¹⁰Po, and help generate public health policies to mitigate it.</p>","PeriodicalId":520693,"journal":{"name":"Journal of the Air & Waste Management Association (1995)","volume":" ","pages":""},"PeriodicalIF":2.2,"publicationDate":"2026-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148321564","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Methane emissions from sewer covers: A case study of Calgary's wastewater collection system.","authors":"Joseph Samuel, Chris H Hugenholtz","doi":"10.1080/10962247.2026.2624095","DOIUrl":"10.1080/10962247.2026.2624095","url":null,"abstract":"<p><p>Sewer covers present an interface for biogenic methane (CH₄) gas produced in the wastewater collection and transportation system to escape to the atmosphere. However, the contribution of these emissions to municipal CH₄ footprints is not well understood. In this study, direct methane emission measurements were made at 118 sewer covers in Calgary, Alberta, Canada to quantify and characterize the emissions from the city's wastewater collection network. Emission rates ranged from 0.00 to 0.241 g CH₄ h^-1. The annual cumulative wastewater collection emissions are estimated to be 3.92 t CH₄ (3.38 to 4.47 t CH₄, 95% confidence interval). This is 1.40% of all wastewater treatment-related emissions in Calgary, based on a gridded inventory and 0.005% of Calgary's total CH₄ footprint, according to a city-scale satellite estimate. Sewer covers measured near locations in the wastewater network that are known to be more favorable environments for CH₄ production (<i>n</i> = 27) were found more likely to emit CH₄ and had statistically higher emission rates compared to the sewer covers that were not (<i>n</i> = 91). Overall, this study indicates that wastewater collection emissions are small for Calgary relative to other biogenic and thermogenic sources in the city; however, this result might not be indicative of the municipal emission patterns from other cities.<i>Implications</i>: This research is one of only a handful of urban case studies that has quantified CH₄ emissions from sewer covers using a direct measurement method. The findings of this study indicate that sampling strategy and upscale modelling of sewer cover emissions depend on knowledge of city-specific wastewater infrastructure, which is useful for guiding future work in this limited field.</p>","PeriodicalId":520693,"journal":{"name":"Journal of the Air & Waste Management Association (1995)","volume":" ","pages":"463-471"},"PeriodicalIF":2.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146095382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Introduction to the 2026 Critical Review: Data fusion in air pollution exposure assessment: Methods, applications, and future directions.","authors":"Susan S G Wierman, Richard A Wayland, Chih C Chao","doi":"10.1080/10962247.2026.2660606","DOIUrl":"https://doi.org/10.1080/10962247.2026.2660606","url":null,"abstract":"","PeriodicalId":520693,"journal":{"name":"Journal of the Air & Waste Management Association (1995)","volume":"76 6","pages":"420-422"},"PeriodicalIF":2.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147978484","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"<i>JA&WMA</i>: A discerning publishing venue for impactful environmental research.","authors":"Jeffrey L Collett","doi":"10.1080/10962247.2026.2663704","DOIUrl":"https://doi.org/10.1080/10962247.2026.2663704","url":null,"abstract":"","PeriodicalId":520693,"journal":{"name":"Journal of the Air & Waste Management Association (1995)","volume":"76 6","pages":"419"},"PeriodicalIF":2.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147978510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Polluted air and fading memory: Effects of air pollution on Alzheimer's disease and vascular dementia.","authors":"Jae Il Cho, Kyungsun Kim","doi":"10.1080/10962247.2026.2639371","DOIUrl":"10.1080/10962247.2026.2639371","url":null,"abstract":"<p><p>Air pollution is widely recognized as a major public health concern, and emerging evidence suggests an association with dementia. Establishing a causal relationship, however, is difficult. Economic cycles affect both dementia prevalence and pollution levels: during economic booms, financial resources for treatment rise, but so do air pollution and work-related stress. In South Korea, air quality has generally improved, even as Alzheimer's cases have increased with population aging, indicating a time-series relationship that biases regression results. Air pollution and vascular dementia also temporarily declined during COVID-19, reflecting omitted variable bias. To address these endogeneity concerns, we use wind speed and direction as instruments for air pollution in South Korea. Our estimates show that higher concentrations of PM₁₀, PM_2.5, and NO₂ significantly increase dementia cases, with instrumental variable results substantially larger than ordinary least squares, underscoring the importance of correcting for bias. These findings carry important policy implications. Because air pollution is a negative externality, its health consequences-including dementia-extend beyond individual responsibility and represent broader social costs. Reducing pollution could therefore not only improve health outcomes but also ease the considerable economic burden of dementia care. As air pollution disproportionately affects vulnerable groups-individuals with dementia who are unable to sustain employment or income-targeted social support is also essential to address their combined medical and financial challenges.<i>Implications</i>: We underscore the importance of addressing endogeneity issues when evaluating the relationship between air pollution and dementia. Conventional approaches may produce biased estimates due to spurious time-series-correlations and omitted variables. By using wind speed and direction as instruments, we identify LATE-based causal effects of air pollution on the number of dementia patients. Our findings suggest important policy implications: reducing air pollution can lower the substantial social and economic costs associated with dementia. Improved administrative data linking clinical records with environmental exposures would support effective monitoring and policy evaluation. Furthermore, international cooperation is needed to address transboundary nature of air pollution.</p>","PeriodicalId":520693,"journal":{"name":"Journal of the Air & Waste Management Association (1995)","volume":" ","pages":"496-512"},"PeriodicalIF":2.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147446736","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Data fusion in air pollution exposure assessment: Methods, applications, and future directions.","authors":"Yang Liu, Howard H Chang, Joshua S Fu","doi":"10.1080/10962247.2026.2660605","DOIUrl":"10.1080/10962247.2026.2660605","url":null,"abstract":"<p><p>Over the past two decades, major advances in observational techniques and modeling capabilities have enabled the development of air pollution data fusion methods that integrate information from regulatory monitoring networks, low-cost sensors, satellite remote sensing, and chemical transport models (CTMs). These approaches combine measurements from regulatory monitoring networks with complementary data sources, including satellite remote sensing, chemical transport models, low-cost sensor networks, and ancillary geospatial predictors, to overcome the spatial limitations of individual datasets. This review synthesizes the evolution of air pollution data fusion methodologies and their applications in exposure assessment and environmental health research. After reviewing the fusion framework and commonly used data sources, we describe five major methodological families that have emerged in the literature: data assimilation, deterministic regression methods, Bayesian statistical models, machine learning techniques, and hybrid or ensemble frameworks that combine multiple modeling strategies. Subsequent sections discuss how these methodological developments have been implemented in practice using an in-depth discussion of representative studies in each of the methodological families and important downstream applications. While fused products should be interpreted with appropriate attention to uncertainty, they provide valuable tools for exposure assessment, air quality analysis, and regulatory planning, particularly in regions where monitoring infrastructure remains sparse. Continued methodological innovation and integration of emerging observation platforms are expected to further enhance the accuracy and applicability of fused air pollution datasets.<i>Implications</i>: Data fusion is now an integral component of air pollution exposure assessment, enabling spatially and temporally resolved concentration estimates that enhance epidemiologic research, policy evaluation, and environmental justice assessments. By integrating ground observations, satellite data, and model simulations, these approaches improve exposure characterization beyond the limitations of individual data sources. Ongoing advances in model transparency, interpretability, and uncertainty characterization will be essential to increase the reliability and applicability of fused products. When applied appropriately, data fusion can support more robust, evidence-based decision-making and contribute to improved public health protection.</p>","PeriodicalId":520693,"journal":{"name":"Journal of the Air & Waste Management Association (1995)","volume":"76 6","pages":"423-462"},"PeriodicalIF":2.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147978550","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Estimation of greenhouse gas emissions in a solid waste management complex.","authors":"Juliene Maria da Silva Amancio, Ana Paula Martinazzo, Kelly Alonso Costa, Welington Kiffer de Freitas","doi":"10.1080/10962247.2026.2635085","DOIUrl":"10.1080/10962247.2026.2635085","url":null,"abstract":"<p><p>The overexploitation of natural resources and increasing dependence on these sources have caused an increase in solid waste generation, aggravating environmental impacts and contributing significantly to climate change through enhanced greenhouse gas (GHG) emissions. This scenario highlights the urgent need for circular economy strategies focused on reducing carbon emissions and mitigating environmental impacts. Continuous monitoring is crucial to evaluate current conditions and guide effective measures in the transition toward a sustainable waste management model. This study quantifies the total potential methane (CH₄) emissions and analyzes the variation in CH₄ production over time within a solid waste treatment and disposal facility. Emissions were estimated using three methodologies: the standard Intergovernmental Panel on Climate Change (IPCC) approach, the LandGEM® model (V3.02) provided by the U.S. Environmental Protection Agency (EPA), and the triangular gas production model. The results indicate peak emissions of approximately 72,82 and 2,30E-3 Gg for the IPCC and triangular models, respectively, while the LandGEM® model predicted a substantially higher peak of 8,31 Gg, suggesting emissions could persist for up to 124 years post-closure. In this study, the results are not directly comparable, as the estimates are strongly dependent on the assumptions and parameters adopted, reinforcing the inherent limitations of the available models when applied to realities different from those for which they were originally developed. Therefore, they should be interpreted as extreme envelopes of behavior intended to support the planning of strategies aimed at mitigating environmental impacts.<i>Implications</i>: The results presented in this study contribute significantly to the improvement of environmental management strategies in urban solid waste management complexes. The estimation of greenhouse gas (GHG) emissions allows the identification of critical points of methane and carbon dioxide release, supporting the adoption of more efficient control and mitigation technologies. In addition, the data obtained can be used by public managers and policymakers to develop action plans aimed at reducing emissions in the waste sector, aligning with the climate commitments assumed by Brazil under the Paris Agreement and promoting the transition to more sustainable circular economy practices.</p>","PeriodicalId":520693,"journal":{"name":"Journal of the Air & Waste Management Association (1995)","volume":" ","pages":"484-495"},"PeriodicalIF":2.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147611677","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A framework for interpreting air pollution sensor data: Bridging gaps in monitoring, analysis and community action.","authors":"Dorothy Lsoto, Richard Sserunjogi, Gabriel Okello, Yile Chen, Jonathan Alan Patz, James J Schauer","doi":"10.1080/10962247.2026.2635079","DOIUrl":"10.1080/10962247.2026.2635079","url":null,"abstract":"<p><p>Compared to high-grade reference monitors, low-cost sensors are small in size with minimal power consumption. This has partly led to their proliferation, especially within low- and middle-income countries-amidst accuracy and precision concerns. The dynamic nature of air pollution, coming from multiple sources and fluctuating over time and space, further complicates accuracy issues. This then makes air pollution of a given area unique based on context. To address this challenge, this paper lays out a stepwise approach that makes air quality measurement interpretation more accessible, thereby increasing community action in air quality awareness. Using an urban network of 11 low-cost PM_2.5 sensors (LCS) and a Beta Attenuation Monitor (BAM) located across diverse land use types in Kampala, Uganda. Hourly and daily average PM_2.5 concentrations from both LCS and a BAM were compared against each other over a 13-month period from January 2022 to January 2023. Monitoring sites were classified into emission zones based on surrounding emission sources, guided by the AIRQO land-use descriptors for sensor locations. Site classification of either low or high-emission reflected local emission intensity rather than residential status alone. Low-emission sites were primarily low-density, upscale residential areas characterized by greater green space, paved roads, and limited nearby traffic or commercial activity. High-emission locations had substantial nearby emission sources, including commercial centers, business hubs, proximity to highways or major roads, and high-density residential areas with mixed land use. Sensors followed a similar pattern with the BAM for both the hourly and 24-hr measurements at lower concentrations, but dispersed at the higher values. A stronger linear relationship from the 24 hr data across all sites exists. Slopes are lower in urban areas (~0.60-1.05) compared to peri-urban areas (~1.10-1.23). Findings suggest the need for a transparent framework that makes air quality data more accessible for community action.<i>Implications</i>: This work shows the promise of low-cost sensors in air quality measurements, especially within resource-constrained communities, where a stronger linear relationship from the 24 hr data across all sites exists when compared to the BAM. It also demonstrates the importance of considering the different land use in air quality measurement interpretation, which strengthens the need to make air quality readings more accessible and digestible to the general public. Clearly conveying air quality information can empower communities and decision-makers on pollution control innovation.</p>","PeriodicalId":520693,"journal":{"name":"Journal of the Air & Waste Management Association (1995)","volume":" ","pages":"472-483"},"PeriodicalIF":2.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147314501","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}