基于SBR反应器的ANAMMOX工艺的启动运行

采用SBR反应器,接种好氧硝化污泥,在142 d内于较高负荷下成功启动了厌氧氨氧化反应器.反应器总氮容积负荷(以N计)为0.43 kg/m3·d,总氮去除率最高达到93.3%,平均为80.5%;氨氮和亚硝酸盐氮的去除率最高达到93.9%和99.8%,平均去除率为81.2%和85.7%.在稳定运行阶段,氨氮去除量、亚硝酸盐氮去除量、硝酸盐氮生成量三者之间的比值为1:1.38:0.18.反应器启动过程中,出水、进水pH差值的变化趋势由负到正,然后稳定在一定范围内;且污泥性状有较大变化,污泥中微生物所占比率有所提高,整个反应器中适应厌氧氨氧化运行方式的菌种增殖较快.     

Recyclable Bacterial Cellulose Aerogel for Oil and Water Separation

Journal of Polymers and the Environment - Bacterial cellulose (BC) aerogel has great potential in treating oil spill and organic pollutant. However, its inherent hydrophilicity and poor...     

A fast antibiotic detection method for simplified pretreatment through spectra-based machine learning

• A spectral machine learning approach is proposed for predicting mixed antibiotic. • Pretreatment is far simpler than traditional detection methods. • Performance of the model is compared in different influencing factors. • Spectral machine learning is promising in the detection of complex substances. Antibiotics are widely used in medicine and animal husbandry. However, due to the resistance of antibiotics to degradation, large amounts of antibiotics enter the environment, posing a potential risk to the ecosystem and public health. Therefore, the detection of antibiotics in the environment is necessary. Nevertheless, conventional detection methods usually involve complex pretreatment techniques and expensive instrumentation, which impose considerable time and economic costs. In this paper, we proposed a method for the fast detection of mixed antibiotics based on simplified pretreatment using spectral machine learning. With the help of a modified spectrometer, a large number of characteristic images were generated to map antibiotic information. The relationship between characteristic images and antibiotic concentrations was established by machine learning model. The coefficient of determination and root mean squared error were used to evaluate the prediction performance of the machine learning model. The results show that a well-trained machine learning model can accurately predict multiple antibiotic concentrations simultaneously with almost no pretreatment. The results from this study have some referential value for promoting the development of environmental detection technologies and digital environmental management strategies.     

Screening and application of Chlorella strains on biosequestration of the power plant exhaust gas evolutions of biomass growth and accumulation of toxic agents

Environmental Science and Pollution Research - To use microalgae for the biosequestration of carbon dioxide (CO2) emitted from the coal-fired power plants, the screening of high CO2 tolerant...     

Exploring volatility of carbon price in European Union due to COVID-19 pandemic

Environmental Science and Pollution Research - The European Union (EU) Emissions Trading System is the most important means for the EU to achieve carbon neutrality, but it has been severely...     

Blockchain technology-based sustainable management research: the status quo and a general framework for future application

Environmental Science and Pollution Research - The problems of data leakage and unreliable information transfer in the management process make sustainability management an inevitable need for...     

Degradation of the typical herbicide atrazine by UV/persulfate: kinetics and mechanisms

Environmental Science and Pollution Research - Atrazine (ATZ), a widely used herbicide, had received a significant amount of attention due to its widespread detection in aquatic environments as...     

Diversity and biogenesis contribution of sulfate-reducing bacteria in arsenic-contaminated soils from realgar deposits

Environmental Science and Pollution Research - Microbial sulfate reduction, a vital mechanism for microorganisms living in anaerobic, sulfate-rich environments, is an essential aspect of the sulfur...     

Electrocatalytic degradation of sulfamethylthiadiazole by GAC@Ni/Fe three-dimensional particle electrode

Environmental Science and Pollution Research - In this work, GAC@Ni/Fe particle electrodes were prepared and employed for the degradation of sulfamethylthiadiazole (SMT) by three-dimensional...     

How does turions production of Potamogeton crispus L. respond to parental population biomass and living environment

Environmental Science and Pollution Research - Turions production is the dominant means of propagation in Potamogeton crispus L. To understand how parental population and their living environmental...