Journal of the Air & Waste Management Association最新文献

{"title":"Characterization of municipal solid waste in Kuwait: Sector-specific composition analysis and implications.","authors":"Esra Aleisa, Rawa Al-Jarallah","doi":"10.1080/10962247.2024.2378102","DOIUrl":"10.1080/10962247.2024.2378102","url":null,"abstract":"<p><p>Municipal solid waste (MSW) characterization plays a pivotal role in devising effective waste management strategies conducive to fostering a circular economy. This study presents composition analysis across twenty-four subcategories sourced from residential, commercial, and industrial sectors in Kuwait. The study is conducted in accordance with the Standard Test Method for Determination of the Composition of Unprocessed Municipal Solid Waste (ASTM D5231). The results indicate that organic waste comprises 45.3%, followed by paper waste (19.9%) and plastics (19.8%). The remaining waste comprises glass waste (3.5%), diapers (2.7%), textiles (2.6%) and other waste. Paper waste (19.9%) consists mainly of mixed paper (12.1%), cardboard (3.7%), newspaper (3.3%), printer printouts (0.6%) and other office paper (0.2%). Plastic waste (19.8%) consists mainly of film (11.2%), PET (3.1%), HDPE (1.1%) and other mixed plastics (4.4%). Residential and mixed areas have the highest proportion of organic waste. Commercial areas produce the highest proportion of wastepaper (22.4%) and textiles (3.7%). Industrial areas produce the highest proportion of plastic waste (29.1%), most of which is film (17.3%). The study also provides an overview of the MSW management system in the country, an overview over the legislative framework, and forecasts of future waste generation rates with comparison to historical baselines.<i>Implications</i>: The precise and up-to-date characterization of municipal solid waste is imperative for scholarly journal submissions, as it establishes a foundational understanding of waste composition, aiding researchers and policymakers in the development of effective waste management strategies, resource recovery initiatives, and sustainable solutions to address the evolving challenges in waste management systems.This study provides detailed composition analysis for twenty-four municipal solid waste (MSW) subcategories collected across different sources: residential, commercial, industrial, and mixed areas. Time series forecasting is applied to predict MSW generation based on historical data obtained through the local municipality over the past decade. Factorial analysis is applied to investigate changes across source areas, and a hypothesis test is used to compare the current MSW composition against previous baselines. The results demonstrated significant variation across most waste categories. The plastic waste proportion has increased by 48.5% compared to 2013 data, despite awareness campaigns. Paper waste has also increased in proportion from 6.8% to 16.2%; this increase is associated with the mixed paper subcategory, which is mostly used for packaging. The composition data provided in this study are necessary for long-term monitoring, strategy assessment, and legislation associated with waste reduction and remediation.</p>","PeriodicalId":49171,"journal":{"name":"Journal of the Air & Waste Management Association","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141591866","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":"Air quality assessment of poultry and swine houses in Chonburi Province.","authors":"Rotruedee Chotigawin, Tistaya Semangoen, Nattida Chailerd, Tanikan Sangnim, Paradee Asa, Taddao Pahasup-Anan, Kampanart Huanbutta","doi":"10.1080/10962247.2024.2376578","DOIUrl":"10.1080/10962247.2024.2376578","url":null,"abstract":"<p><p>The increased consumption of animal products has led to a proliferation of animal husbandry operations, particularly in agricultural countries. Animal husbandry facilities or livestock farming directly impact the physical, chemical, and biological aspects of the environment, giving rise to various issues such as odors, contamination of water and air sources with pathogens, and potential contamination of meat products originating from these facilities. This research aims to assess the impacts on the physical (temperature, relative humidity and air velocity), chemical (carbon dioxide, total volatile organic compounds and particulate matter), and biological air quality assessment (amount and type of bioaerosols) aspects resulting from pig and poultry farming. The findings will serve as valuable data for managing and addressing these aforementioned issues. It was found that both in poultry and swine houses generated total suspended particles (TSP) and PM10 (Particulate Matter with a diameter of 10 µm or less). Analysis of poultry house exhaust revealed elevated concentrations of TSP and PM10 exceeding established health benchmarks. Chickens tend to produce a higher concentration of VOCs (2.07 ± 0.57 ppm) compared to swine (0.82 ± 0.53 ppm). <i>Staphylococcus epidermidis</i> was predominant bacteria in both swine and poultry houses while <i>Cladosporium sp</i> was the most prevalent fungi in poultry houses. These results in this study are very useful for developing targeted mitigation strategies, products, devices to address specific pollutants produced by each type of livestock, reducing overall environmental impact and improving air quality within and around animal husbandry facilities.<i>Implications</i>: This research highlights how the growing demand for meat is affecting the environment, especially in farming areas. By studying the effects of pig and poultry farming on things like air and water quality, the study shows the challenges these farms pose, like bad smells and pollution. They found that both types of farms release a lot of tiny particles and smelly chemicals into the air, but there are differences between them. Understanding these findings can help us develop ways to reduce the pollution from these farms and make the air cleaner for everyone.</p>","PeriodicalId":49171,"journal":{"name":"Journal of the Air & Waste Management Association","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141555799","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":"Unveiling underutilized public data on Canadian industrial pollutant transfers and disposals.","authors":"Alicia Berthiaume","doi":"10.1080/10962247.2024.2377327","DOIUrl":"10.1080/10962247.2024.2377327","url":null,"abstract":"<p><p>Over 50 nations worldwide have Pollutant Release and Transfer Registers (PRTRs), including Canada's National Pollutant Release Inventory (NPRI), which comprise large public datasets of chemical releases to air, water, and land and also transfers to various on and off-site waste management practices. These inventories aim to support a myriad of audiences in pollution-related decision-making. While the Organisation for Economic Cooperation and Development (OECD) framed a role for PRTRs as indicators for Sustainable Development Goal (SDG) 12 - the sound management of chemicals and wastes, research to date has focused only on air and water releases, omitting vast PRTR data on pollutant transfers to waste management. For Canada's NPRI, 30 years of waste management transfers data on 250+ chemicals has been collected but rarely used in environmental research. Here we show how this overlooked NPRI data may be used to inform snapshots and trends in progress towards SDG 12 using the OECD's framework. Results show that over 28 million (M) tonnes (t) of NPRI pollutants have been transferred from industrial facilities to various waste management practices from 2006 to 2021, of which ~10M t were transferred off-site for waste management operations both within and outside Canada. Time trends show pollutant transfer quantities are increasing, driven by on-site disposals to tailings and waste rock management (of mainly phosphorous, manganese and other metals) and underground injection (of mainly hydrogen sulphide). New route maps reveal that interprovincial and international pollutant transfers are common, and that chain of custody analyses is a burgeoning opportunity but hampered by data limitations. The findings create a state of the knowledge launching point for mainstreaming the use of this overlooked data from both Canada's NPRI and PRTRs around the world, to better track both national and international progress towards sound management of chemicals in waste and SDG 12.<i>Implications</i>: Pollutant transfers and disposals data has not previously been widely used in environmental research. This paper shows how it can be, in the context of SDG 12. Doing so can inspire uptake by researchers and a range of other public users, both strengthening the justification for collecting this data, and bolstering public participation in environmental decision-making from a local to global scale. Doing so also provides the foundation for more in-depth analysis on the domestic and international transboundary movement of Canadian industrial pollutants in waste in the lens of SDG 12 - a topic that was beyond scope here but addressed elsewhere.</p>","PeriodicalId":49171,"journal":{"name":"Journal of the Air & Waste Management Association","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141555800","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":"Elevated airborne radioactivity downwind of a colorado oil refinery.","authors":"Detlev Helmig, Justin Nobel, Dani Caputi, David Brown, Ryan W Daly, Lisa S Darby, Phillip T Doe, Olga Gonzalez, Gabriel Greenberg, Jacques Hueber, Kat Potter, Gunnar W Schade, Susan Simoncic, Michel Stahli, Wilma Subra","doi":"10.1080/10962247.2024.2393194","DOIUrl":"https://doi.org/10.1080/10962247.2024.2393194","url":null,"abstract":"<p><p>Airborne radioactivity from fossil fuel production systems is poorly characterized, but a recent study showed elevated ambient levels with proximity to oil and gas production wells. Here, we report year-long, high temporal resolution monitoring results of airborne alpha radioactivity from both radon gas and radon progeny attached to particulates immediately northeast of an oil refinery in Commerce City, Colorado, USA, in an environmental justice community of concern. Gas and particle-associated radioactivity contributed nearly evenly to the total alpha radioactivity. Total radioactivity levels of 30-40 Bq m^-3 were 2-3 times higher than background levels (~10-15 Bq m^-3) when winds were light and southwesterly, suggesting the refinery as the geographic origin. Furthermore, elevated airborne radioactivity tracked most closely with the light hydrocarbon and natural gas tracer ethane. Thus, the data imply natural gas as the radon emission carrier, possibly from flaring. However, this could not explain all our particle-associated radioactivity observations. Our findings are unique and suggest a need for further investigations of radon emissions from oil and gas infrastructure such as natural gas processing plants, compressor stations, petrochemical plants, and oil refineries that process oil and natural gas from unconventional production.<i>Implications Statement</i>: Regulatory agencies currently do not mandate or conduct monitoring of radioactivity releases and public exposure from petroleum industry air emissions. This study reports elevated radioactivity from radon gas and nonvolatile radon decay products attached to particulate matter, at about 2-3 times above background levels in proximity to Colorado's largest oil refinery. Observations were within an environmental justice community of concern that experiences well above-average exposure to many other harmful atmospheric pollutants, suggesting potential adverse health effects from this cumulative exposure. Our findings offer actionable insights for policymakers, industry stakeholders, and affected communities alike.</p>","PeriodicalId":49171,"journal":{"name":"Journal of the Air & Waste Management Association","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142074342","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 most important technologies and highlights for biogas production worldwide.","authors":"Brenda Clara Gomes Rodrigues, Bruna Sampaio de Mello, Luana Cardoso Grangeiro, Kelly Johana Dussan, Arnaldo Sarti","doi":"10.1080/10962247.2024.2393192","DOIUrl":"https://doi.org/10.1080/10962247.2024.2393192","url":null,"abstract":"<p><p>Bioenergy or green fuel has been considered the fuel of the future for being a type of renewable energy that contributes to the preservation of the environment as it helps to reduce greenhouse gas emissions. In this way, biogas offers a potential alternative to fossil fuels from anaerobic digestion (AD) bioprocess, which allows the action of several microorganisms in the transformation of substrates into biogas and secondary bioproducts. Over the years, researchers have discussed that low yields in AD are associated with different factors such as type of wastewater, reactor configuration, substrate concentration, temperature, organic loading rates, and biomass concentration inside of the reactor. In this way, to better conduct the AD, studies point to the reactor configuration as one of the factors in the determination of high biogas production for a long period. Understanding and knowing the type of reactor and how the parameters such as biomass accumulation and immobilization, pH, or temperature occur in the system would provide information and can help to improve the bioenergy production in different systems. Moreover, research opportunities about different technologies are essential for the anaerobic digestion of many substrates and the stability of interest production. Thus, this type of scientific study gives a broad overview of the principal systems used in the AD process and information about the circular economy in the production of biogas in the world. Important considerations are highlighted.<i>Implication of Statement</i>: The review paper provides information about the scenario of biogas in the world state-of-art and the biogas production from AD. Afterwards, an extensive analysis of different and principal types of reactors applied to the AD process, aimed at presenting an overview of the advantages and disadvantages of each configuration intending to gain new insights to improve traditional reactors or propose novel ones. This article enables us to have a perspective about the different technologies available and about new alternatives from an operational point of view for bioenergy from AD, not only in bench studies or pilot scale studies but also at an industrial level. Thus, this type of scientific study gives a broad overview of the principal systems used in the AD process and information about the circular economy in the production of biogas in the world.</p>","PeriodicalId":49171,"journal":{"name":"Journal of the Air & Waste Management Association","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142057048","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":"Evaluation of WRF-Chem air quality forecasts during the AEROMMA and STAQS 2023 field campaigns.","authors":"Juanito Jerrold Mariano Acdan, R Bradley Pierce, Shi Kuang, Todd McKinney, Darby Stevenson, Michael J Newchurch, Gabriele Pfister, Siqi Ma, Daniel Tong","doi":"10.1080/10962247.2024.2380333","DOIUrl":"10.1080/10962247.2024.2380333","url":null,"abstract":"<p><p>A real-time air quality forecasting system was developed using the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem) to provide support for flight planning activities during the NOAA Atmospheric Emissions and Reactions Observed from Megacities to Marine Areas (AEROMMA) and NASA Synergistic TEMPO Air Quality Science (STAQS) 2023 field campaigns. The forecasting system operated on two separate domains centered on Chicago, IL, and New York City, NY, and provided 72-hour predictions of atmospheric composition, aerosols, and clouds. This study evaluates the Chicago-centered forecasting system's 1-, 2-, and 3-day ozone (O₃) forecast skill for Chiwaukee Prairie, WI, a rural area downwind of Chicago that often experiences high levels of O₃ pollution. Comparisons to vertical O₃ profiles collected by a Tropospheric Ozone Lidar Network (TOLNet) instrument revealed that forecast skill decreases as forecast lead time increases. When compared to surface measurements, the forecasting system tended to underestimate O₃ concentrations on high O₃ days and overestimate on low O₃ days at Chiwaukee Prairie regardless of forecast lead time. Using July 25, 2023, as a case study, analyses show that the forecasts underestimated peak O₃ levels at Chiwaukee Prairie during this regionwide bad air quality day. Wind speed and direction data indicates that this underestimation can partially be attributed to lake breeze simulation errors. Surface fine particulate matter (PM_2.5) measurements, Geostationary Operational Environmental Satellite-16 (GOES-16) aerosol optical depth (AOD) data, and back trajectories from the NOAA Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model show that transported Canadian wildfire smoke impacted the Lake Michigan region on this day. Errors in the forecasted chemical composition and transport of the smoke plumes also contributed to underpredictions of O₃ levels at Chiwaukee Prairie on July 25, 2023. The results of this work help identify improvements that can be made for future iterations of the WRF-Chem forecasting system.<i>Implications</i>: Air quality forecasting is an important tool that can be used to inform the public about upcoming high pollution days so that individuals may plan accordingly to limit their exposure to health-damaging air pollutants. Forecasting also helps scientists make decisions about where to make observations during air quality field campaigns. A variety of observational datasets were used to evaluate the accuracy of an air quality forecasting system that was developed for NOAA and NASA field campaigns that occurred in the summer of 2023. These evaluations inform areas of improvement for future development of this air quality forecasting system.</p>","PeriodicalId":49171,"journal":{"name":"Journal of the Air & Waste Management Association","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141621300","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 multi-criteria approach to test and evaluate the efficiency of two composting systems under two different climates.","authors":"Majed Ibrahim Al-Sari', A K Haritash","doi":"10.1080/10962247.2024.2365707","DOIUrl":"10.1080/10962247.2024.2365707","url":null,"abstract":"<p><p>The selection of the appropriate composting system, climate conditions, and duration of the composting process are important parameters for municipal solid waste composting. Therefore, this research aimed to design, test, and evaluate two different static composting systems under two different climate regions, Palestine and India, following a multi-criteria approach. A forced-aeration composting system was designed for use in Palestine, and a naturally aerated one was used in India. Three experiments were conducted, two of them in Palestine and one in India. The operational parameters were controlled and monitored during the composting process, while the physio-chemical and biological parameters were tested to evaluate the compost end quality. The results showed that both systems provide good efficiency toward formation of final compost (39-43 days in Palestine, and 31 days in India), and the average materials' volume reduction was almost 60%. The physio-chemical analysis showed that most of the parameters comply with the threshold limits specified by the Palestinian Standards Institution (PSI) and Indian Fertilizer Control Order (FCO) except for minor deviations. Both systems provided a high fertility index (4.3, 4.7, and 4.8), and a high clean index (4.6, 5.0, and 4.7). However, the results of the biological parameters showed that all the experiments met PSI, but none of them met FCO, suggesting that the outer edges of the composting system didn't heat enough to inactivate pathogenic microbes, therefore, developing the system by adding turning option could overcome this shortcoming. It was concluded that the forced aeration system is suitable for Palestine, while the natural aeration system is suitable for India.<i>Implications</i>: Municipal solid waste management is facing technical and financial challenges worldwide due to the increasing generation of solid waste following the population growth. The current improper management of this waste stream through landfilling is adding pressure on the environment as a result of methane emissions and landfill leachate. Therefore, composting of the organic fraction through selection of an appropriate composting system can solve many waste management problems and contribute to environmental sustainability. This research focuses on design, test and evaluate two composting systems in two regions with different climatic conditions, Palestine and India as both are facing waste management problems. The outcome of this research optimized the composting process which can be replicated and scaled up in other countries worldwide with similar climatic conditions.</p>","PeriodicalId":49171,"journal":{"name":"Journal of the Air & Waste Management Association","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141318726","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":"First-time calculation of the spatial distribution of concentration and air quality index over South Africa using TROPOMI data.","authors":"Lerato Shikwambana, Mahlatse Kganyago, Nkanyiso Mbatha, Paidamwoyo Mhangara","doi":"10.1080/10962247.2024.2369751","DOIUrl":"10.1080/10962247.2024.2369751","url":null,"abstract":"<p><p>The release of toxic gases into the atmosphere may reach concentrations that can cause undesirable health, economic, or aesthetic effects. It is therefore important to monitor the amounts of pollutants injected into the atmosphere from various sources. Most countries have a ground network with multiple measuring sites and instruments, that can measure the air quality index (AQI). However, the main challenge with the networks is the low spatial coverage. In this work, satellite data is used to calculate for the first time the spatial distribution of AQI and pollutant concentration over South Africa. The TROPOspheric Monitoring Instrument (TROPOMI) onboard Sentinel-5P data is used to calculate AQI from carbon monoxide (CO), nitrogen dioxide (NO₂), ozone (O₃), and sulfur dioxide (SO₂) gases. The results that the month of June has the worst air quality distribution throughout the country, while March has the best air quality distribution. Overall, the results clearly show that TROPOMI has the capability to measure air quality at a country and city level.<i>Implications</i>: In this work, satellite data is used to calculate for the first time the spatial distribution of the air quality index (AQI) and pollutant concentration over South Africa. The TROPOspheric Monitoring Instrument (TROPOMI) onboard Sentinel-5P data is used to calculate AQI from carbon monoxide (CO), nitrogen dioxide (NO₂), ozone (O3), and sulfur dioxide (SO₂) gases. Currently, South Africa has a ground network of instruments that measure AQ, however, the network does not cover the whole country. In this work, we show that the use of TROPOMI can compliment the current network and provide data for the areas not covered.</p>","PeriodicalId":49171,"journal":{"name":"Journal of the Air & Waste Management Association","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141437700","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":"Measuring short-chain per- and polyfluoroalkyl substances in Central New Jersey air using chemical ionization mass spectrometry.","authors":"James M Mattila, John H Offenberg","doi":"10.1080/10962247.2024.2366491","DOIUrl":"10.1080/10962247.2024.2366491","url":null,"abstract":"<p><p>Real-time measurements of short-chain (C < 8) per- and polyfluoroalkyl substances (PFAS) were performed in Central New Jersey air using chemical ionization mass spectrometry (CIMS). The CIMS was calibrated for C₂-C₆ perfluorinated carboxylic acids, and 4:2 and 6:2 fluorotelomer alcohols. Of these, only trifluoroacetic acid (TFA) was detected in ambient air above instrumental detection limits. However, instrumental sensitivities (and thus ambient mixing ratios) were estimated for other detected PFAS including C₃H₂F₆O and C₆HF₁₁O₃. TFA mixing ratios reached up to 0.7 parts-per-trillion by volume (pptv). Estimated C₃H₂F₆O and C₆HF₁₁O₃ mixing ratios reached the single pptv level. These latter two formulas are consistent with hexafluoroisopropanol (HFIP) and hexafluoropropylene oxide dimer acid (HFPO-DA), respectively, though they may potentially represent multiple isomers. Diel profiles of detected PFAS along with local meteorological data can provide information on potential local sources of these compounds. However, only limited discussion of potential sources was provided here given the sparse detection of these compounds above instrument detection limits. These results demonstrate the potential of online CIMS instrumentation for measuring certain PFAS in ambient outdoor air in real time at or below the pptv level. This technique also has potential for fenceline monitoring and other near-source applications.<i>Implications</i>: Online chemical ionization mass spectrometry (CIMS) has potential for fast, real-time measurements of certain airborne per- and polyfluoroalkyl substances (PFAS). Three short-chain (C < 8) PFAS were detected by CIMS in Central New Jersey ambient air near or above the parts-per-trillion by volume (pptv) level. This technique also has potential for fenceline monitoring and other near-source applications for airborne PFAS.</p>","PeriodicalId":49171,"journal":{"name":"Journal of the Air & Waste Management Association","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11412083/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141437701","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"MSW-Net: A hierarchical stacking model for automated municipal solid waste classification.","authors":"Vaishnavi Jayaraman, Arun Raj Lakshminarayanan","doi":"10.1080/10962247.2024.2370958","DOIUrl":"10.1080/10962247.2024.2370958","url":null,"abstract":"<p><p>Efficient solid waste management is crucial for urban health and welfare in the midst of fast industrialization and urbanization. In this changing environment, government authorities have a significant role in addressing and reducing the effects of solid waste. While waste separation at the source simplifies processes, manual sorting is a consequence of ignorance in numerous regions, which endangers the health of waste pickers. This study addresses the challenges by introducing the MSW-Net model, a hierarchical stacking model designed for the automated classification of municipal solid waste (MSW). Customized Convolutional Neural Network (custom CNN) and Bayesian-Optimized MobileNet models serve as the base models, with Gradient Boosting employed as the meta-classifier. The MSW-Net model, as proposed, exhibits exceptional performance, attaining 99%, 95%, and 96.43% accuracy rates over training, validation, and testing, respectively. Additionally, the model achieves precision, recall, and F1 scores of 96.42%, 96.43%, and 96.42% during the testing phase. Therefore, the proposed MSW-Net model performs better than the other existing models in sorting the waste. This could also aid the municipal authorities in classifying the waste with minimal human intervention.<i>Implications</i>: The MSW-Net model, featuring a hierarchical stacking approach with custom CNN and Bayesian-Optimized MobileNet base models, and Gradient Boosting as the meta-classifier, achieves remarkable accuracy in automated municipal solid waste classification. With performance metrics of 99% accuracy in training, 95% in validation, and 96.43% in testing, alongside precision, recall, and F1 scores around 96.42%, the MSW-Net model significantly outperforms existing models. This advancement promises to aid municipal authorities in efficient waste management, reducing reliance on manual sorting and thereby improving the health and safety of waste pickers.</p>","PeriodicalId":49171,"journal":{"name":"Journal of the Air & Waste Management Association","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141433209","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}