{"title":"AEESP President Letter September 2022","authors":"A. mackay","doi":"10.1089/ees.2022.0266","DOIUrl":"https://doi.org/10.1089/ees.2022.0266","url":null,"abstract":"","PeriodicalId":11777,"journal":{"name":"Environmental Engineering Science","volume":"16 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85875695","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":"Is It Time to Decenter Humans in Our Discussion of Sustainable Development?","authors":"D. B. Oerther","doi":"10.1089/ees.2022.0239","DOIUrl":"https://doi.org/10.1089/ees.2022.0239","url":null,"abstract":"","PeriodicalId":11777,"journal":{"name":"Environmental Engineering Science","volume":"24 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2022-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87442510","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}
Xulun Zhou, Haibo Li, Ang Wang, Jianing Bai, Yinghua Li, G. A. Gurmesa, Xueyan Wang, Xi Chen, Chenxi Zhang
{"title":"How Does Hydraulic Loading Rate Affect Fates of 15NH4+-N Tracer and Pollutants Removal in Subsurface Wastewater Infiltration System?","authors":"Xulun Zhou, Haibo Li, Ang Wang, Jianing Bai, Yinghua Li, G. A. Gurmesa, Xueyan Wang, Xi Chen, Chenxi Zhang","doi":"10.1089/ees.2021.0522","DOIUrl":"https://doi.org/10.1089/ees.2021.0522","url":null,"abstract":"","PeriodicalId":11777,"journal":{"name":"Environmental Engineering Science","volume":"87 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2022-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74486003","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}
Crisleine P. Draszewski, N. M. Silveira, M. Brondani, A. S. Cruz, K. Rezzadori, F. Mayer, Ederson R. Abaide, M. Mazutti, M. Tres, G. Zabot
{"title":"Use of Rice Husk Hydrolyzed by Subcritical Water to Obtain Silica from Agro-Industrial Waste","authors":"Crisleine P. Draszewski, N. M. Silveira, M. Brondani, A. S. Cruz, K. Rezzadori, F. Mayer, Ederson R. Abaide, M. Mazutti, M. Tres, G. Zabot","doi":"10.1089/ees.2021.0501","DOIUrl":"https://doi.org/10.1089/ees.2021.0501","url":null,"abstract":"","PeriodicalId":11777,"journal":{"name":"Environmental Engineering Science","volume":"44 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2022-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90658574","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}
The effectiveness of formic acid on partial nitrification in sequence batch reactor (SBR) is studied. In addition, the mechanism for achieving and maintaining stable partial nitrification by formic acid is also analyzed. The results of the long-term effect of formic acid on partial nitrification showed that when formic acid was not added, the effluent was primarily nitrate. After adding formic acid for 1 week, the partial nitrification operated stably, and the average ammonia conversion rate and nitrite accumulation rates were 99.25% and 89.41%, respectively, while the yield of nitrite was only 46.22%. After stopping formic acid dosing, the partial nitrification was maintained for ∼20 days, and during this period, the nitrite yield increased to 85.89%. The high-throughput analysis of the activated sludge samples showed that the ammonia oxidizing bacteria (AOB) Nitrosomonas and Sphingomonas only presented in the formic acid system. The denitrifiers Acidovorax, Bacillus, Comamonas, Flavobacterium, Lactococcus, Paracoccus, Terrimonas, and Thauera enriched when the formic acid was added. The long-term effect of formic acid on partial nitrification was consistent with the results of the molecular operating environment simulation analysis and the high-throughput sequencing analysis. Therefore, formic acid was considered to be responsible for the partial nitrification process in this study. By measuring the oxygen uptake rate, the activities of AOB and nitrite oxidizing bacteria (NOB) were analyzed, and the results indicated that formic acid dosing promoted AOB activity more than inhibiting NOB.
{"title":"Strategy for Rapid and Stable Operation of Nitritation Using Formic Acid As a Selective Inhibitor","authors":"Na Li, Suhan Yu, He Wang, Lanxin Liu, Guode Li","doi":"10.1089/ees.2021.0570","DOIUrl":"https://doi.org/10.1089/ees.2021.0570","url":null,"abstract":"The effectiveness of formic acid on partial nitrification in sequence batch reactor (SBR) is studied. In addition, the mechanism for achieving and maintaining stable partial nitrification by formic acid is also analyzed. The results of the long-term effect of formic acid on partial nitrification showed that when formic acid was not added, the effluent was primarily nitrate. After adding formic acid for 1 week, the partial nitrification operated stably, and the average ammonia conversion rate and nitrite accumulation rates were 99.25% and 89.41%, respectively, while the yield of nitrite was only 46.22%. After stopping formic acid dosing, the partial nitrification was maintained for ∼20 days, and during this period, the nitrite yield increased to 85.89%. The high-throughput analysis of the activated sludge samples showed that the ammonia oxidizing bacteria (AOB) <i>Nitrosomonas</i> and <i>Sphingomonas</i> only presented in the formic acid system. The denitrifiers <i>Acidovorax</i>, <i>Bacillus</i>, <i>Comamonas</i>, <i>Flavobacterium</i>, <i>Lactococcus</i>, <i>Paracoccus</i>, <i>Terrimonas</i>, and <i>Thauera</i> enriched when the formic acid was added. The long-term effect of formic acid on partial nitrification was consistent with the results of the molecular operating environment simulation analysis and the high-throughput sequencing analysis. Therefore, formic acid was considered to be responsible for the partial nitrification process in this study. By measuring the oxygen uptake rate, the activities of AOB and nitrite oxidizing bacteria (NOB) were analyzed, and the results indicated that formic acid dosing promoted AOB activity more than inhibiting NOB.","PeriodicalId":11777,"journal":{"name":"Environmental Engineering Science","volume":"6 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2022-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138529336","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}
Measurements of atmospheric ammonia (NH3) concentrations were made at 28 sites on a landscape scale in Bretagne (north-western France) using passive diffusion ALPHA (adapted low-cost passive high adsorption) samplers. The measured ambient concentrations of NH3 vary typically between 2.03 and 105.17 NH3 μg/m3 within a few 100 m (∼700 m) from the emission sources. The interpretation of measurements was supported by simulations with the AERMOD model using a horizontal fine spatial resolution of 25 × 25 m2. Simulations were based on estimates of the NH3 emission calculated separately from livestock grazing, livestock housing, waste storage, land spreading, and mineral fertilizers in the area during the four seasons of 2008. Our findings show that AERMOD performance is acceptable for this experimental study with intensive livestock farming. However, the model still overestimates the observed NH3 concentrations over most of the area, which is well marked for cold seasons and low wind speeds; this overestimation could be more attributed to an overestimation of NH3 emissions in the model, source placements, passive sampler placements, and depletion/deposition processes, rather than roughness length and source height estimates.
{"title":"Measuring and Modeling Atmospheric Ammonia from Agricultural Sources at a Landscape Scale","authors":"Otmane Souhar, Yannick Fauvel, Chris Flechard","doi":"10.1089/ees.2021.0371","DOIUrl":"https://doi.org/10.1089/ees.2021.0371","url":null,"abstract":"Measurements of atmospheric ammonia (NH<sub>3</sub>) concentrations were made at 28 sites on a landscape scale in Bretagne (north-western France) using passive diffusion ALPHA (adapted low-cost passive high adsorption) samplers. The measured ambient concentrations of NH<sub>3</sub> vary typically between 2.03 and 105.17 NH<sub>3</sub> μg/m<sup>3</sup> within a few 100 m (∼700 m) from the emission sources. The interpretation of measurements was supported by simulations with the AERMOD model using a horizontal fine spatial resolution of 25 × 25 m<sup>2</sup>. Simulations were based on estimates of the NH<sub>3</sub> emission calculated separately from livestock grazing, livestock housing, waste storage, land spreading, and mineral fertilizers in the area during the four seasons of 2008. Our findings show that AERMOD performance is acceptable for this experimental study with intensive livestock farming. However, the model still overestimates the observed NH<sub>3</sub> concentrations over most of the area, which is well marked for cold seasons and low wind speeds; this overestimation could be more attributed to an overestimation of NH<sub>3</sub> emissions in the model, source placements, passive sampler placements, and depletion/deposition processes, rather than roughness length and source height estimates.","PeriodicalId":11777,"journal":{"name":"Environmental Engineering Science","volume":"28 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2022-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138529302","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":"Identifying Metal Resistance Genes in Staphylococcus Species Isolated from Wastewater and Streams Receiving Treated Effluent","authors":"A. Amirsoleimani, G. Brion, P. François","doi":"10.1089/ees.2021.0358","DOIUrl":"https://doi.org/10.1089/ees.2021.0358","url":null,"abstract":"","PeriodicalId":11777,"journal":{"name":"Environmental Engineering Science","volume":"27 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2022-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82301267","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}
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