Pub Date : 2025-09-01Epub Date: 2025-08-25DOI: 10.1177/15579018251359733
Nicholas Herkert, Bekir Zahit Demiray, Ibrahim Demir, Andres Martinez, Keri C Hornbuckle
Polyurethane foam equipped passive air samplers (PUF-PAS) are a valuable tool for monitoring atmospheric semi-volatile organic pollutants but are often complicated due to the need for an accurate sampling rate ( ). Here we describe the development and implementation of a web based interface that allows for a user-friendly way of determining and visualizing accurate modelled values. The web interface provides access to the previously published model without the need for proprietary software (MATLAB) or coding experience. The precalculated avoids unnecessary computation time, providing the user with fast results and visualizations of the sampler behavior during deployment. Supported by NASA's MERRA meteorological data at both 2 m and 10 m heights above ground level (AGL), users can determine for any location on the globe. Users can select prepopulated compounds (e.g., polychlorinated biphenyls) or manually enter compounds, enter sample information individually or upload them batch wise, run the model, and export data to a CSV to further integrate with the data analysis workflow. Additionally, an implementation of the same model is available in R, along with scripts to process meteorological data.
{"title":"Web-based Data Analytics Framework for Polyurethane Foam Passive Air Sampling Rate and Effective Volume.","authors":"Nicholas Herkert, Bekir Zahit Demiray, Ibrahim Demir, Andres Martinez, Keri C Hornbuckle","doi":"10.1177/15579018251359733","DOIUrl":"10.1177/15579018251359733","url":null,"abstract":"<p><p>Polyurethane foam equipped passive air samplers (PUF-PAS) are a valuable tool for monitoring atmospheric semi-volatile organic pollutants but are often complicated due to the need for an accurate sampling rate ( <math><msub><mi>R</mi> <mi>s</mi></msub> </math> ). Here we describe the development and implementation of a web based <math><msub><mi>R</mi> <mi>s</mi></msub> </math> interface that allows for a user-friendly way of determining and visualizing accurate modelled <math><msub><mi>R</mi> <mi>s</mi></msub> </math> values. The web interface provides access to the previously published model without the need for proprietary software (MATLAB) or coding experience. The precalculated <math><msub><mi>R</mi> <mi>s</mi></msub> </math> avoids unnecessary computation time, providing the user with fast results and visualizations of the sampler behavior during deployment. Supported by NASA's MERRA meteorological data at both 2 m and 10 m heights above ground level (AGL), users can determine <math><msub><mi>R</mi> <mi>s</mi></msub> </math> for any location on the globe. Users can select prepopulated compounds (e.g., polychlorinated biphenyls) or manually enter compounds, enter sample information individually or upload them batch wise, run the model, and export data to a CSV to further integrate with the data analysis workflow. Additionally, an implementation of the same model is available in R, along with scripts to process meteorological data.</p>","PeriodicalId":11777,"journal":{"name":"Environmental Engineering Science","volume":"42 9","pages":"370-380"},"PeriodicalIF":1.8,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12599848/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145494954","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}
Joseph Wood, Timothy Chamberlain, Abderrahmane Touati, Denise Aslett, Ahmed Abdel-Hady, Mariela Monge, Worth Calfee, Anne Mikelonis, Erin Silvestri, Shannon Serre, Chelsea Hintz
In the event of a wide-area release of Bacillus anthracis spores, soils and other outdoor materials will likely become contaminated with the biological agent. Soils may also become contaminated with B. anthracis when livestock or wildlife succumb to anthrax disease. This study was conducted to assess the in situ remediation of soil using steam vapor to inactivate a B. anthracis spore surrogate (Bacillus atrophaeus) inoculated into soil samples. Tests were conducted using small columns (~0.04 m3 of soil) filled with either loam, clay, or a sandy soil. Following steam treatment, the B. atrophaeus spores were recovered from the test and positive control soil samples via liquid extraction and this liquid was subsequently dilution plated to quantify viable spores in terms of colony-forming units. Decontamination efficacy was assessed as a function of soil type, soil depth, soil moisture, soil temperature, and steam exposure time. Results showed that spore inactivation improved with increasing steam exposure time and diminished with depth. The clay soil generally exhibited the highest soil temperatures and correspondingly showed the highest inactivation of spores. Adding moisture to the soil prior to the steam treatment increased heat transfer within the soil column, and sealing the columns to mitigate steam leakage increased spore inactivation. The results showed that a steam mass of 40-50 kg applied per square meter of soil surface was sufficient to inactivate bacterial spores to depths between 7 and 10 cm. With bacterial spores on the soil column surface, a contact time of 15 min with the steam vapor at 99°C was sufficient for complete inactivation. These findings provide a foundation for estimating costs and time requirements for applying steam to the soil surface, and further confirmatory testing at field-scale is suggested.
{"title":"Decontamination of Soil Contaminated at the Surface with <i>Bacillus anthracis</i> (Anthrax) Surrogate Spores Using Steam Vapor.","authors":"Joseph Wood, Timothy Chamberlain, Abderrahmane Touati, Denise Aslett, Ahmed Abdel-Hady, Mariela Monge, Worth Calfee, Anne Mikelonis, Erin Silvestri, Shannon Serre, Chelsea Hintz","doi":"10.1089/ees.2024.0195","DOIUrl":"10.1089/ees.2024.0195","url":null,"abstract":"<p><p>In the event of a wide-area release of <i>Bacillus anthracis</i> spores, soils and other outdoor materials will likely become contaminated with the biological agent. Soils may also become contaminated with <i>B. anthracis</i> when livestock or wildlife succumb to anthrax disease. This study was conducted to assess the <i>in situ</i> remediation of soil using steam vapor to inactivate a <i>B. anthracis</i> spore surrogate (<i>Bacillus atrophaeus</i>) inoculated into soil samples. Tests were conducted using small columns (~0.04 m<sup>3</sup> of soil) filled with either loam, clay, or a sandy soil. Following steam treatment, the <i>B. atrophaeus</i> spores were recovered from the test and positive control soil samples via liquid extraction and this liquid was subsequently dilution plated to quantify viable spores in terms of colony-forming units. Decontamination efficacy was assessed as a function of soil type, soil depth, soil moisture, soil temperature, and steam exposure time. Results showed that spore inactivation improved with increasing steam exposure time and diminished with depth. The clay soil generally exhibited the highest soil temperatures and correspondingly showed the highest inactivation of spores. Adding moisture to the soil prior to the steam treatment increased heat transfer within the soil column, and sealing the columns to mitigate steam leakage increased spore inactivation. The results showed that a steam mass of 40-50 kg applied per square meter of soil surface was sufficient to inactivate bacterial spores to depths between 7 and 10 cm. With bacterial spores on the soil column surface, a contact time of 15 min with the steam vapor at 99°C was sufficient for complete inactivation. These findings provide a foundation for estimating costs and time requirements for applying steam to the soil surface, and further confirmatory testing at field-scale is suggested.</p>","PeriodicalId":11777,"journal":{"name":"Environmental Engineering Science","volume":"42 ","pages":""},"PeriodicalIF":1.8,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11980802/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143998295","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}
Haozhi Sun, Yan Feng, Jinwei Huang, Honglan Li, Hao Chen, Ning Suo, Yanzhen Yu
{"title":"Controlling Dissolved Oxygen in Electrochemical Anammox Systems through Sodium Sulfite with Nitrogen Stripping","authors":"Haozhi Sun, Yan Feng, Jinwei Huang, Honglan Li, Hao Chen, Ning Suo, Yanzhen Yu","doi":"10.1089/ees.2023.0055","DOIUrl":"https://doi.org/10.1089/ees.2023.0055","url":null,"abstract":"","PeriodicalId":11777,"journal":{"name":"Environmental Engineering Science","volume":"7 2","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139439154","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}
N. Fahrenfeld, Lee Blaney, Kelly D. Good, Lu Liu, R. Tehrani, T. Selvaratnam
{"title":"Lessons Learned from a Cross-Institutional Environmental Engineering and Science Faculty-to-Faculty Mentoring Program","authors":"N. Fahrenfeld, Lee Blaney, Kelly D. Good, Lu Liu, R. Tehrani, T. Selvaratnam","doi":"10.1089/ees.2023.0234","DOIUrl":"https://doi.org/10.1089/ees.2023.0234","url":null,"abstract":"","PeriodicalId":11777,"journal":{"name":"Environmental Engineering Science","volume":"9 5","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139439087","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":"Landuse/Landcover Change Analysis Using Medium Resolution Images and Machine Learning Algorithms in the Cotton Landscape of Multan and Bahawalpur Districts, Pakistan","authors":"Mirza Wajid Ali Safi, Asad Imran, Masood Arshad, Masood Akhtar, Mohsin Ramzan, Muhammad Asif, Usama Maqsood, Usman Akram, Zoia Arshad Awan","doi":"10.1089/ees.2023.0159","DOIUrl":"https://doi.org/10.1089/ees.2023.0159","url":null,"abstract":"","PeriodicalId":11777,"journal":{"name":"Environmental Engineering Science","volume":"49 5","pages":""},"PeriodicalIF":1.8,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138981862","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":"Electrochemical Treatment of Reactive Orange 16 Dye Pollutant Using Microbial Fuel Cell as Renewable Power Source","authors":"Imran Ahmad, D. Basu","doi":"10.1089/ees.2023.0136","DOIUrl":"https://doi.org/10.1089/ees.2023.0136","url":null,"abstract":"","PeriodicalId":11777,"journal":{"name":"Environmental Engineering Science","volume":"81 5","pages":""},"PeriodicalIF":1.8,"publicationDate":"2023-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138586836","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}
Pub Date : 2023-12-01DOI: 10.1089/ees.2023.29005.cfp
Maryam Salehi, Lauren N. Pincus, Baolin Deng
{"title":"Call for Special Issue Papers: Microplastics: Sources, Fate, and Remediations","authors":"Maryam Salehi, Lauren N. Pincus, Baolin Deng","doi":"10.1089/ees.2023.29005.cfp","DOIUrl":"https://doi.org/10.1089/ees.2023.29005.cfp","url":null,"abstract":"","PeriodicalId":11777,"journal":{"name":"Environmental Engineering Science","volume":"262 ","pages":""},"PeriodicalIF":1.8,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139022162","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}
扫码关注我们
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号