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Influence of influent on anaerobic ammonium oxidation in an Expanded Granular Sludge Bed-Biological Aerated

Daijun ZHANG, Cui BAI, Ting TANG, Qing YANG

Frontiers of Environmental Science & Engineering 2011, Volume 5, Issue 2,   Pages 291-297 doi: 10.1007/s11783-010-0270-6

Abstract: oxygen demand (COD) of 300–1200 mg·L and of 30–120 mg·L at the outer recycle ratio of 200%, the influenceof influent on ANAMMOX in the integrated system was investigated in this paper.caused an increase in denitrification and methanogenesis but a decrease in ANAMMOX; however, when an influentHigher influent concentration favored ANAMMOX when the COD concentration of influent was fixed.methanogenesis could be dynamically maintained in the sludge of EGSB reactor for a certain range of influent

Keywords： Expanded Granular Sludge Bed-Biological Aerated Filter (EGSB-BAF) integrated system     the influence ofinfluent     anaerobic ammonium oxidation (ANAMMOX)     shortcut nitrification-denitrification     methano-genesis    

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Short-term prediction of the influent quantity time series of wastewater treatment plant based on a chaos

LI Xiaodong, ZENG Guangming, HUANG Guohe, LI Jianbing, JIANG Ru

Frontiers of Environmental Science & Engineering 2007, Volume 1, Issue 3,   Pages 334-338 doi: 10.1007/s11783-007-0057-6

Abstract: By predicting influent quantity, a wastewater treatment plant (WWTP) can be well controlled.The nonlinear dynamic characteristic of WWTP influent quantity time series was analyzed, with the assumptionBased on this, a short-term forecasting chaos neural network model of WWTP influent quantity was built

Keywords： nonlinear     reconstruction     WWTP influent     characteristic     Reasonable forecasting    

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Characteristic and correlation analysis of influent and energy consumption of wastewater treatment plants

Luxi Zou, Huaibo Li, Shuo Wang, Kaikai Zheng, Yan Wang, Guocheng Du, Ji Li

Frontiers of Environmental Science & Engineering 2019, Volume 13, Issue 6, doi: 10.1007/s11783-019-1167-7

Abstract: Poor biodegradability and insufficient carbon source are discovered from influent.Influent indices presented positively normal distribution or skewed distribution.Energy consumption increases with the increase in influent volume and COD reduction.The influent BOD5/COD was 0.4%–0.6%, only 39.2% SS/BOD5 exceeded the standard by 36.3%, the average BOD5/TN was 3.82, and the probability of influent BOD5/TP>20 was 82.8%.

Keywords： Taihu Basin     Wastewater treatment plant     Influent characteristics     Energy consumption evaluation     Specific    

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Evaluation of the k-nearest neighbor method for forecasting the influent characteristics of wastewater

Minsoo KIM,Yejin KIM,Hyosoo KIM,Wenhua PIAO,Changwon KIM

Frontiers of Environmental Science & Engineering 2016, Volume 10, Issue 2,   Pages 299-310 doi: 10.1007/s11783-015-0825-7

Abstract: The k-nearest neighbor (k-NN) method was evaluated to predict the influent flow rate and four water qualitiesThe influent flow rate was accurately predicted within one standard deviation of measured values.Influent water qualities were well predicted with the mean absolute percentage error (MAPE) under bothOverall, the k-NN method was verified to be useful for predicting WWTP influent characteristics.

Keywords： influent wastewater     prediction     data-driven model     k-nearest neighbor method (k-NN)    

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Short-term prediction of influent flow rate and ammonia concentration in municipal wastewater treatment

Shuai MA, Siyu ZENG, Xin DONG, Jining CHEN, Gustaf OLSSON

Frontiers of Environmental Science & Engineering 2014, Volume 8, Issue 1,   Pages 128-136 doi: 10.1007/s11783-013-0598-9

Abstract: The prediction of the influent load is of great importance for the improvement of the control systemanalysis method is presented in this paper in order to estimate and predict the periodicity of the influentConsidering the influence of the rainfalls, a linear fitting model is derived to estimate the relationshipprediction accuracy is not distinct with increasing of the prediction time scales; 3) the periodicity influence

Keywords： influent load prediction     wavelet de-noising     power spectrum density     autoregressive model     time-frequency    

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Process evaluation of an alternating aerobic-anoxic process applied in a sequencing batch reactor for nitrogen removal

ZENG Wei, PENG Yongzhen, WANG Shuying

Frontiers of Environmental Science & Engineering 2007, Volume 1, Issue 1,   Pages 28-32 doi: 10.1007/s11783-007-0005-5

Abstract: Under sufficient influent alkalinity, the AAA process did not have an advantage over one aerobicanoxicUnder deficient influent alkalinity, when compared to OAA, the AAA process improved treatment efficiencyIf the lack of alkalinity in the influent was less than 1/3 of that needed, there is no need for externalalkalinity addition and treatment efficiency was the same as that under sufficient influent alkalinityEven if the lack of alkalinity in the influent was more than 1/3 of that needed, the AAA process was

Keywords： bicarbonate alkalinity     sufficient influent     influent alkalinity     detection     alkalinity production    

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Nitrate removal to its fate in wetland mesocosm filled with sponge iron: Impact of influent COD/N ratio

Zhihao Si, Xinshan Song, Xin Cao, Yuhui Wang, Yifei Wang, Yufeng Zhao, Xiaoyan Ge, Awet Arefe Tesfahunegn

Frontiers of Environmental Science & Engineering 2020, Volume 14, Issue 1, doi: 10.1007/s11783-019-1183-7

Abstract: An increase of the influent COD/N ratio resulted in lower chemical denitrification and higher bio-denitrification

Keywords： Sponge iron     Wetland mesocosm     Electronic donor     Denitrification     COD/N ratio    

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Identifying spreading influence nodes for social networks

Frontiers of Engineering Management   Pages 520-549 doi: 10.1007/s42524-022-0190-8

Abstract: The identification of spreading influence nodes in social networks, which studies how to detect importantThe identification algorithms of spreading influence nodes can be used to evaluate the spreading influenceThis review summarizes the recent progress about the identification algorithms of spreading influenceand performance evaluation metrics, and outline future challenges of the identification of spreading influence

Keywords： complex network     network science     spreading influence     machine learning    

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Heterogeneous influence of individuals’ behavior on mask efficacy in gathering environments

Frontiers of Engineering Management   Pages 550-562 doi: 10.1007/s42524-022-0193-5

Abstract: Wearing masks is an easy way to operate and popular measure for preventing epidemics. Although masks can slow down the spread of viruses, their efficacy in gathering environments involving heterogeneous person-to-person contacts remains unknown. Therefore, we aim to investigate the epidemic prevention effect of masks in different real-life gathering environments. This study uses four real interpersonal contact datasets to construct four empirical networks to represent four gathering environments. The transmission of COVID-19 is simulated using the Monte Carlo simulation method. The heterogeneity of individuals can cause mask efficacy in a specific gathering environment to be different from the baseline efficacy in general society. Furthermore, the heterogeneity of gathering environments causes the epidemic prevention effect of masks to differ. Wearing masks can greatly reduce the probability of clustered epidemics and the infection scale in primary schools, high schools, and hospitals. However, the use of masks alone in primary schools and hospitals cannot control outbreaks. In high schools with social distancing between classes and in workplaces where the interpersonal contact is relatively sparse, masks can meet the need for prevention. Given the heterogeneity of individual behavior, if individuals who are more active in terms of interpersonal contact are prioritized for mask-wearing, the epidemic prevention effect of masks can be improved. Finally, asymptomatic infection has varying effects on the prevention effect of masks in different environments. The effect can be weakened or eliminated by increasing the usage rate of masks in high schools and workplaces. However, the effect on primary schools and hospitals cannot be weakened. This study contributes to the accurate evaluation of mask efficacy in various gathering environments to provide scientific guidance for epidemic prevention.

Keywords： COVID-19     masks     behavioral heterogeneity     asymptomatic infection    

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Social Influence Analysis: Models, Methods, and Evaluation Review

Kan Li, Lin Zhang, Heyan Huang

Engineering 2018, Volume 4, Issue 1,   Pages 40-46 doi: 10.1016/j.eng.2018.02.004

Abstract:

Social influence analysis (SIA) is a vast research field that has attracted research interest in manyMicroscopic models consider human interactions and the structure of the influence process, whereas macroscopicWe analyze social influence methods including influence maximization, influence minimization, flow ofinfluence, and individual influence.In social influence evaluation, influence evaluation metrics are introduced and social influence evaluation

Keywords： Social influence analysis     Online social networks     Social influence analysis models     Influence evaluation    

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Conversion of polyethylene to gasoline: Influence of porosity and acidity of zeolites

Frontiers in Energy   Pages 763-774 doi: 10.1007/s11708-023-0897-1

Abstract: Herein a series of microporous and mesoporous zeolites were used to study the influence of porosity and

Keywords： plastics conversion     polyethylene     zeolites     acidity     porosity    

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Distribution, characteristics and daily fluctuations of microplastics throughout wastewater treatment plants with mixed domestic–industrial influents in Wuxi City, China

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 1,   Pages 6-6 doi: 10.1007/s11783-021-1440-4

Abstract:

• MPs were analyzed throughout three WWTPs with mixed domestic–industrial influents.

Keywords： Microplastic     Wastewater treatment plant     Mixed domestic-industrial influent     Characteristic     Daily fluctuation    

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Theoretical insights into influence of additives on sulfamethoxazole crystal growth kinetics and mechanisms

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 10,   Pages 1503-1515 doi: 10.1007/s11705-022-2294-4

Abstract: In this work, the influence of the initial chemical potential gradient, stirring speed, and polymer typeTo investigate the influence of different conditions on the thermodynamic driving force of SMX crystal

Keywords： insoluble drugs     polymer     inhibition crystallization     crystal growth kinetics     DFT calculations    

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Anaerobic treatment of wastewater containing methanol in up-flow anaerobic sludge bed (UASB) reactor

LIN Yishan, HE Yanling, MENG Zhuo, YANG Shucheng

Frontiers of Environmental Science & Engineering 2008, Volume 2, Issue 2,   Pages 241-246 doi: 10.1007/s11783-008-0040-x

Abstract: chemical oxygen demand (COD), acetic acid and pH of the effluent were monitored at different loadings and influentThe results showed that the anaerobic reactor could be operated steadily at as low as 119 mg/L of influent

Keywords： homogeneous     spherical     influent alkalinity     process     anaerobic treatment    

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Transport of antibiotic resistance plasmids in porous media and the influence of surfactants

Peipei Chen, Chaoqi Chen, Xiqing Li

Frontiers of Environmental Science & Engineering 2018, Volume 12, Issue 2, doi: 10.1007/s11783-017-0986-7

Abstract: The influence of surfactants, a major group of constituents in soil solutions, was examined using an

Keywords： Indigenous plasmid     Transport     Porous media     Surfactants    

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Title Author Date Type Operation

Influence of influent on anaerobic ammonium oxidation in an Expanded Granular Sludge Bed-Biological Aerated

Daijun ZHANG, Cui BAI, Ting TANG, Qing YANG

Journal Article

Short-term prediction of the influent quantity time series of wastewater treatment plant based on a chaos

LI Xiaodong, ZENG Guangming, HUANG Guohe, LI Jianbing, JIANG Ru

Journal Article

Characteristic and correlation analysis of influent and energy consumption of wastewater treatment plants

Luxi Zou, Huaibo Li, Shuo Wang, Kaikai Zheng, Yan Wang, Guocheng Du, Ji Li

Journal Article

Evaluation of the k-nearest neighbor method for forecasting the influent characteristics of wastewater

Minsoo KIM,Yejin KIM,Hyosoo KIM,Wenhua PIAO,Changwon KIM

Journal Article

Short-term prediction of influent flow rate and ammonia concentration in municipal wastewater treatment

Shuai MA, Siyu ZENG, Xin DONG, Jining CHEN, Gustaf OLSSON

Journal Article

Process evaluation of an alternating aerobic-anoxic process applied in a sequencing batch reactor for nitrogen removal

ZENG Wei, PENG Yongzhen, WANG Shuying

Journal Article

Nitrate removal to its fate in wetland mesocosm filled with sponge iron: Impact of influent COD/N ratio

Zhihao Si, Xinshan Song, Xin Cao, Yuhui Wang, Yifei Wang, Yufeng Zhao, Xiaoyan Ge, Awet Arefe Tesfahunegn

Journal Article

Identifying spreading influence nodes for social networks

Journal Article

Heterogeneous influence of individuals’ behavior on mask efficacy in gathering environments

Journal Article

Social Influence Analysis: Models, Methods, and Evaluation

Kan Li, Lin Zhang, Heyan Huang

Journal Article

Conversion of polyethylene to gasoline: Influence of porosity and acidity of zeolites

Journal Article

Distribution, characteristics and daily fluctuations of microplastics throughout wastewater treatment plants with mixed domestic–industrial influents in Wuxi City, China

Journal Article

Theoretical insights into influence of additives on sulfamethoxazole crystal growth kinetics and mechanisms

Journal Article

Anaerobic treatment of wastewater containing methanol in up-flow anaerobic sludge bed (UASB) reactor

LIN Yishan, HE Yanling, MENG Zhuo, YANG Shucheng

Journal Article

Transport of antibiotic resistance plasmids in porous media and the influence of surfactants

Peipei Chen, Chaoqi Chen, Xiqing Li

Journal Article