Mengwei Li, Haidong Zhou, Mixuan Ye, Xinxuan Xu, Lidan Pang, Ziming Zhao, Yumei Xuan
The interactions of six typical antibiotics, including azithromycin, clarithromycin (CLR), ciprofloxacin, sulfathiazole, sulfamethoxazole, and tetracycline (TCY), with Microcystis aeruginosa were investigated, discussing the effects of antibiotics on algal growth in terms of mono- and co-antibiotics, and the removal of six antibiotics by the alga. The results showed that all the antibiotics showed “low-promoting and high-inhibiting” effects, except for sulfonamides, which showed a promotion trend on algal cell density and chlorophyll a. The tests of half effective concentrations (EC50s) of antibiotics against M. aeruginosa showed that the antibiotics of the same category had similar EC50s, and the toxicity effects of co-antibiotics were higher compared to mono-antibiotics. The toxic effects of antibiotics against M. aeruginosa were antagonistic in most binary co-antibiotics, and synergistic and simple additive effects in the ternary co-antibiotics. For removal tests of antibiotics by the alga, it could be seen that at the same concentration (10 µg L−1), M. aeruginosa showed the best removal of TCY with 22.8% and the lowest removal of CLR with only 5.8%. It was found that both antibiotics and M. aeruginosa had mutual influences; therefore, the interaction might be favorable to the permanent removal of antibiotics and reduce the impact on the aquatic ecological environment.
{"title":"Interactions between typical antibiotics and Microcystis aeruginosa in aquatic environment","authors":"Mengwei Li, Haidong Zhou, Mixuan Ye, Xinxuan Xu, Lidan Pang, Ziming Zhao, Yumei Xuan","doi":"10.1002/clen.202200298","DOIUrl":"https://doi.org/10.1002/clen.202200298","url":null,"abstract":"<p>The interactions of six typical antibiotics, including azithromycin, clarithromycin (CLR), ciprofloxacin, sulfathiazole, sulfamethoxazole, and tetracycline (TCY), with <i>Microcystis aeruginosa</i> were investigated, discussing the effects of antibiotics on algal growth in terms of mono- and co-antibiotics, and the removal of six antibiotics by the alga. The results showed that all the antibiotics showed “low-promoting and high-inhibiting” effects, except for sulfonamides, which showed a promotion trend on algal cell density and chlorophyll <i>a</i>. The tests of half effective concentrations (EC<sub>50</sub>s) of antibiotics against <i>M. aeruginosa</i> showed that the antibiotics of the same category had similar EC<sub>50</sub>s, and the toxicity effects of co-antibiotics were higher compared to mono-antibiotics. The toxic effects of antibiotics against <i>M. aeruginosa</i> were antagonistic in most binary co-antibiotics, and synergistic and simple additive effects in the ternary co-antibiotics. For removal tests of antibiotics by the alga, it could be seen that at the same concentration (10 µg L<sup>−1</sup>), <i>M. aeruginosa</i> showed the best removal of TCY with 22.8% and the lowest removal of CLR with only 5.8%. It was found that both antibiotics and <i>M. aeruginosa</i> had mutual influences; therefore, the interaction might be favorable to the permanent removal of antibiotics and reduce the impact on the aquatic ecological environment.</p>","PeriodicalId":10306,"journal":{"name":"Clean-soil Air Water","volume":"51 11","pages":""},"PeriodicalIF":1.7,"publicationDate":"2023-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"109167550","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}
As solid waste of coal-fired power plants, atmospheric environmental pollution is caused by fly ash during transportation. The purpose of this study was to improve the dust removal efficiency of fly ash fine particles by electrocoagulation and obtain reasonable operating parameters. The effects of particle concentration, gas velocity, AC frequency, and voltage on particle electrocoagulation efficiency were studied through the establishment of a discrete element soft sphere calculation model, and reasonable electrocoagulation operation parameters were obtained. The dust removal process was evaluated according to the particle number concentration, electrocoagulation efficiency, and particles microscopic characteristics due to the dust removal experiments of fly ash by electrocoagulation. The results demonstrated that increasing particle concentration, reducing gas velocity, and selecting reasonable AC frequency and voltage were effective to improve the real-time electrocoagulation efficiency and its stability. Under the suitable conditions: voltage of 3 kV, airflow velocity of 5 m s–1, particle concentration of 30 mg m–3 and AC frequency of 100 Hz, the electrocoagulation efficiency was higher than 40%. The electrocoagulation was effective to improve the dust removal efficiency of fly ash fine particles with a relative humidity of air below 70% and ambient temperatures above 20°C.
飞灰作为燃煤电厂的固体废物,在运输过程中会对大气环境造成污染。本研究的目的是提高电凝聚法对粉煤灰细颗粒的除尘效率,并获得合理的操作参数。通过建立离散元软球计算模型,研究了颗粒浓度、气体速度、交流频率和电压对颗粒电凝效率的影响,得到了合理的电凝操作参数。通过对粉煤灰电凝除尘实验,根据颗粒数浓度、电凝效率和颗粒微观特征对除尘过程进行了评价。结果表明,提高颗粒浓度,降低气体流速,选择合理的交流频率和电压,可以有效地提高实时电凝的效率和稳定性。在电压3 kV、气流速度5 m s–1、颗粒浓度30 mg m–3和交流频率100 Hz的适宜条件下,电凝效率高于40%。在空气相对湿度低于70%、环境温度高于20°C的情况下,电凝聚能有效提高粉煤灰细颗粒的除尘效率。
{"title":"Feasibility of improving dust removal efficiency of fly ash fine particles for coal-fired power plants","authors":"Haisheng Li, Jie Yao, Ziyin Xu, Hui Zhou, Yinghua Chen, Weigang Feng","doi":"10.1002/clen.202200293","DOIUrl":"https://doi.org/10.1002/clen.202200293","url":null,"abstract":"<p>As solid waste of coal-fired power plants, atmospheric environmental pollution is caused by fly ash during transportation. The purpose of this study was to improve the dust removal efficiency of fly ash fine particles by electrocoagulation and obtain reasonable operating parameters. The effects of particle concentration, gas velocity, AC frequency, and voltage on particle electrocoagulation efficiency were studied through the establishment of a discrete element soft sphere calculation model, and reasonable electrocoagulation operation parameters were obtained. The dust removal process was evaluated according to the particle number concentration, electrocoagulation efficiency, and particles microscopic characteristics due to the dust removal experiments of fly ash by electrocoagulation. The results demonstrated that increasing particle concentration, reducing gas velocity, and selecting reasonable AC frequency and voltage were effective to improve the real-time electrocoagulation efficiency and its stability. Under the suitable conditions: voltage of 3 kV, airflow velocity of 5 m s<sup>–1</sup>, particle concentration of 30 mg m<sup>–3</sup> and AC frequency of 100 Hz, the electrocoagulation efficiency was higher than 40%. The electrocoagulation was effective to improve the dust removal efficiency of fly ash fine particles with a relative humidity of air below 70% and ambient temperatures above 20°C.</p>","PeriodicalId":10306,"journal":{"name":"Clean-soil Air Water","volume":"51 10","pages":""},"PeriodicalIF":1.7,"publicationDate":"2023-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50149771","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}
Nikunj K. Mangukiya, Abhishek Kumar, Ashutosh Sharma
Abstract Estimates of the flood quantile for ungauged watersheds are crucial for water resources management but challenging due to the nonlinear complex hydrological system. For ungauged watersheds, estimating flood quantiles relies on various interdependent physiometeorological variables, many of which are not adequately considered in regional flood frequency analysis (RFFA). In this study, we utilized the random forest (RF) and support vector regression (SVR) algorithms, which can learn the nonlinear relationship between the physiometeorological variables and flood quantiles for RFFA. Thirteen physiometeorological variables that were not collectively employed before were used to estimate the 10‐year, 50‐year, and 100‐year return period flood quantiles (Q10, Q50, and Q100), respectively, for 39 watersheds spread across India. The RF and SVR models were trained on 29 (75%) watersheds to estimate individual flood quantiles and were subsequently tested on the remaining ten (25%) ungauged watersheds. The R 2 achieved by RF is 0.862, 0.813, and 0.845, and SVR is 0.807, 0.793, and 0.789 for Q10, Q50, and Q100, respectively. Overall, the results indicate that RF can effectively learn the nonlinear relationships, while SVR with a linear kernel requires further improvement to estimate reliable flood quantiles. The study demonstrates that machine learning algorithms, with appropriate physiometeorological input datasets, can be used to estimate flood quantiles even in the sparse data region.
{"title":"Machine learning‐based regional flood frequency analysis of Indian watersheds","authors":"Nikunj K. Mangukiya, Abhishek Kumar, Ashutosh Sharma","doi":"10.1002/clen.202300120","DOIUrl":"https://doi.org/10.1002/clen.202300120","url":null,"abstract":"Abstract Estimates of the flood quantile for ungauged watersheds are crucial for water resources management but challenging due to the nonlinear complex hydrological system. For ungauged watersheds, estimating flood quantiles relies on various interdependent physiometeorological variables, many of which are not adequately considered in regional flood frequency analysis (RFFA). In this study, we utilized the random forest (RF) and support vector regression (SVR) algorithms, which can learn the nonlinear relationship between the physiometeorological variables and flood quantiles for RFFA. Thirteen physiometeorological variables that were not collectively employed before were used to estimate the 10‐year, 50‐year, and 100‐year return period flood quantiles (Q10, Q50, and Q100), respectively, for 39 watersheds spread across India. The RF and SVR models were trained on 29 (75%) watersheds to estimate individual flood quantiles and were subsequently tested on the remaining ten (25%) ungauged watersheds. The R 2 achieved by RF is 0.862, 0.813, and 0.845, and SVR is 0.807, 0.793, and 0.789 for Q10, Q50, and Q100, respectively. Overall, the results indicate that RF can effectively learn the nonlinear relationships, while SVR with a linear kernel requires further improvement to estimate reliable flood quantiles. The study demonstrates that machine learning algorithms, with appropriate physiometeorological input datasets, can be used to estimate flood quantiles even in the sparse data region.","PeriodicalId":10306,"journal":{"name":"Clean-soil Air Water","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136071914","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 use of Internet of Things (IoT) in industries is not new; however, the amalgamation of IoT and Biotechnology is still less explored. IoT in wastewater treatment comes with a full suite including cloud and its corresponding ecosystem. The available cloud-based systems are advantageous, but costly and tightly coupled to their own cloud infrastructure. Opportunities are limited for the creation of a hybrid/multiple cloud model as it's difficult to integrate with the legacy system(s) and/or customized systems. The current investigation focuses on designing architechture of an open source IoT platform on an effluent treatment plant (ETP) protoype of textile industry. The designed prototype includes physical (adsorption) and biological (Rotating Biological Contactor, RBC, immobilized with white rot fungus) processes. IoT has been used for automated data monitoring of pH and ultrasound (for effluent flow from one tank to another, with respect to the water level, for processing). The process operated under an optimized pH (6.53±0.15) with reduction of representative wastewater quality parameters, biological & chemical oxygen demand, total dissolved solids, total suspended solids and optical density by 78.9, 52.15, 91.6, 20.3 and 88.8%, respectively. The findings demonstrated the reliability of the designed system and the analytics on treatment facilities.
{"title":"Designing and implementation of internet of things (IoT) on physico-biological treatment of wastewater","authors":"Sujata Das, Avijit Deb Sarkar, Shalini Singh","doi":"10.1002/clen.202300248","DOIUrl":"10.1002/clen.202300248","url":null,"abstract":"<p>The use of Internet of Things (IoT) in industries is not new; however, the amalgamation of IoT and Biotechnology is still less explored. IoT in wastewater treatment comes with a full suite including cloud and its corresponding ecosystem. The available cloud-based systems are advantageous, but costly and tightly coupled to their own cloud infrastructure. Opportunities are limited for the creation of a hybrid/multiple cloud model as it's difficult to integrate with the legacy system(s) and/or customized systems. The current investigation focuses on designing architechture of an open source IoT platform on an effluent treatment plant (ETP) protoype of textile industry. The designed prototype includes physical (adsorption) and biological (Rotating Biological Contactor, RBC, immobilized with white rot fungus) processes. IoT has been used for automated data monitoring of pH and ultrasound (for effluent flow from one tank to another, with respect to the water level, for processing). The process operated under an optimized pH (6.53±0.15) with reduction of representative wastewater quality parameters, biological & chemical oxygen demand, total dissolved solids, total suspended solids and optical density by 78.9, 52.15, 91.6, 20.3 and 88.8%, respectively. The findings demonstrated the reliability of the designed system and the analytics on treatment facilities.</p>","PeriodicalId":10306,"journal":{"name":"Clean-soil Air Water","volume":"51 11","pages":""},"PeriodicalIF":1.7,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80248632","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}
Soil remediation with minimum amendments is a good strategy for tailings disposal. Carbonate-rich gold-copper mine tailings occurring alongside the Yangzi River, China, were employed as the objective in this study. They showed the characteristics of fine particles and alkaline pH with high density and low nutrition. The amendments including bacterial fertilizer (BF), polymer, peat, straw, and compound fertilizer (CF) were used for soilless remediation on the tailings. Soil quality index (SQI) involved in tailing properties and growth characteristics of ryegrass was used to optimize the combination of amendments. The results showed that the optimum amendment combination was 0.2% BF + 0.6% CF + 0.2% polymer + 10% peat and 2% straw. Tailing nutrients such as soil organic matter (5.56%), available nitrogen (93.6 mg kg−1), available phosphorus (51.7 mg kg−1), available potassium (711 mg kg−1), and ryegrass exhibited the highest germination rate and biomass level under the optimal improvement conditions. Additional environmental assessments revealed that soilless treatment of the tailings helped to convert Cu, Zn, and As into residual forms. These findings show a good strategy for tailings soil improvement and provide a promising perspective of the soilless remediation for fine carbonate-rich metal tailings.
{"title":"Soilless remediation of the fine carbonate-rich gold-copper mine tailings","authors":"Ling Xia, Yujing Bi, Xu Cui, Xu Liu, Keqiang Zhou, Shaoxian Song, Jiang Zhu, Hongqiang Li, Yong Hu","doi":"10.1002/clen.202200337","DOIUrl":"https://doi.org/10.1002/clen.202200337","url":null,"abstract":"<p>Soil remediation with minimum amendments is a good strategy for tailings disposal. Carbonate-rich gold-copper mine tailings occurring alongside the Yangzi River, China, were employed as the objective in this study. They showed the characteristics of fine particles and alkaline pH with high density and low nutrition. The amendments including bacterial fertilizer (BF), polymer, peat, straw, and compound fertilizer (CF) were used for soilless remediation on the tailings. Soil quality index (SQI) involved in tailing properties and growth characteristics of ryegrass was used to optimize the combination of amendments. The results showed that the optimum amendment combination was 0.2% BF + 0.6% CF + 0.2% polymer + 10% peat and 2% straw. Tailing nutrients such as soil organic matter (5.56%), available nitrogen (93.6 mg kg<sup>−1</sup>), available phosphorus (51.7 mg kg<sup>−1</sup>), available potassium (711 mg kg<sup>−1</sup>), and ryegrass exhibited the highest germination rate and biomass level under the optimal improvement conditions. Additional environmental assessments revealed that soilless treatment of the tailings helped to convert Cu, Zn, and As into residual forms. These findings show a good strategy for tailings soil improvement and provide a promising perspective of the soilless remediation for fine carbonate-rich metal tailings.</p>","PeriodicalId":10306,"journal":{"name":"Clean-soil Air Water","volume":"51 10","pages":""},"PeriodicalIF":1.7,"publicationDate":"2023-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50139778","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}
Davronbek Bekchanov, Mukhtarjan Mukhamediev, Gulbakhor Babojonova, Peter Lieberzeit, Xintai Su
In this study, an anion exchange material obtained by chemically modifying granulated polyvinyl chloride with urea was examined. To study the structural morphology of the anion exchanger, polymer PVC-based anion exchange resin second type (PPE-2), we applied different characterization techniques including X-ray diffraction (XRD), Fourier-transform infrared (FTIR), scanning electron microscopy (SEM), and water vapor adsorption analysis. Moreover, PPE-2 was used to remove hexavalent chromium ions from aqueous media. A pseudo-second order model was used to describe sorption kinetics as well as the adsorption mechanism. The Langmuir isotherm and the pseudo-second order kinetic model led to the most consistent results in describing ion removal from solution. In the case of hexavalent chromium ions, the maximum adsorption capacity was 148.4 mg g−1. The Dubinin-Radushkevich (D-R) free energy of adsorption (ED) was >16 kJ mol−1, which indicates chemical interaction between the ion exchange material and Cr(VI) ions. The Gibbs energy ΔG, enthalpy ΔH, and entropy ΔS changes during binding showed that the sorption process is spontaneous and involves chemical sorption through endothermic ion exchange reactions. In addition, the results demonstrate that the anion exchanger (PPE-2) very efficiently removed hexavalent chromium ions from industrial wastewater.
{"title":"Anion exchange material based on polyvinylchloride and urea for the removal of chromium(vi) ions from aqueous solutions","authors":"Davronbek Bekchanov, Mukhtarjan Mukhamediev, Gulbakhor Babojonova, Peter Lieberzeit, Xintai Su","doi":"10.1002/clen.202200411","DOIUrl":"https://doi.org/10.1002/clen.202200411","url":null,"abstract":"<p>In this study, an anion exchange material obtained by chemically modifying granulated polyvinyl chloride with urea was examined. To study the structural morphology of the anion exchanger, polymer PVC-based anion exchange resin second type (PPE-2), we applied different characterization techniques including X-ray diffraction (XRD), Fourier-transform infrared (FTIR), scanning electron microscopy (SEM), and water vapor adsorption analysis. Moreover, PPE-2 was used to remove hexavalent chromium ions from aqueous media. A pseudo-second order model was used to describe sorption kinetics as well as the adsorption mechanism. The Langmuir isotherm and the pseudo-second order kinetic model led to the most consistent results in describing ion removal from solution. In the case of hexavalent chromium ions, the maximum adsorption capacity was 148.4 mg g<sup>−1</sup>. The Dubinin-Radushkevich (D-R) free energy of adsorption (<i>E</i><sub>D</sub>) was >16 kJ mol<sup>−1</sup>, which indicates chemical interaction between the ion exchange material and Cr(VI) ions. The Gibbs energy Δ<i>G</i>, enthalpy Δ<i>H</i>, and entropy Δ<i>S</i> changes during binding showed that the sorption process is spontaneous and involves chemical sorption through endothermic ion exchange reactions. In addition, the results demonstrate that the anion exchanger (PPE-2) very efficiently removed hexavalent chromium ions from industrial wastewater.</p>","PeriodicalId":10306,"journal":{"name":"Clean-soil Air Water","volume":"51 10","pages":""},"PeriodicalIF":1.7,"publicationDate":"2023-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50136339","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 cover image is based on the Research Article Nitrate removal from groundwater by microscale zero-valent iron and activated carbon: A nonpumping reactive wells experiment by Seiyed Mossa Hosseini et al., https://doi.org/10.1002/clen.202300019