Prediction of effluent concentration in a wastewater treatment plant using machine learning models

Of growing amount of food waste, the integrated food waste and waste water treatment was regarded as one of the efficient modeling method. However, the load of food waste to the conventional waste treatment process might lead to the high concentration of total nitrogen(T-N) impact on the effluent water quality. The objective of this study is to establish two machine learning models—artificial neural networks(ANNs) and support vector machines(SVMs), in order to predict 1-day interval T-N concentration of effluent from a wastewater treatment plant in Ulsan, Korea. Daily water quality data and meteorological data were used and the performance of both models was evaluated in terms of the coefficient of determination(R~2), Nash–Sutcliff efficiency(NSE), relative efficiency criteria(d rel). Additionally, Latin-Hypercube one-factor-at-a-time(LH-OAT) and a pattern search algorithm were applied to sensitivity analysis and model parameter optimization, respectively. Results showed that both models could be effectively applied to the 1-day interval prediction of T-N concentration of effluent. SVM model showed a higher prediction accuracy in the training stage and similar result in the validation stage.However, the sensitivity analysis demonstrated that the ANN model was a superior model for 1-day interval T-N concentration prediction in terms of the cause-and-effect relationship between T-N concentration and modeling input values to integrated food waste and waste water treatment. This study suggested the efficient and robust nonlinear time-series modeling method for an early prediction of the water quality of integrated food waste and waste water treatment process.     

Pollution levels and characteristics of phthalate esters in indoor air in hospitals

The concentrations of phthalate esters(PAEs) in Chinese hospitals were investigated by simultaneously determining concentrations of gas- and particle-phase PAEs. PAEs were detected in two third-class first-grade hospitals, two second-class first-grade hospitals, and a community health service center. Hospital drugstores had the highest concentration(24.19 μg/m3), which was 1.54 times that of newly decorated houses. The second highest concentration was found in the transfusion rooms, averaging 21.89 μg/m3; this was followed by the concentrations of PAEs in the nurse's workstations, the wards, and the doctor's offices, with mean concentrations of 20.66, 20.0, and 16.92 μg/m3, respectively. The lowest concentrations were found in the hallways(16.30 μg/m3). Of the six different kinds of PAEs found, major pollutants included diethyl phthalates, dibutyl phthalates, butylbenzyl phthalates and di(2-ethylhexyl) phthalates, comprising more than 80% of all PAEs present.Meanwhile, a comparison between different wards showed that PAE concentrations in the maternity wards were 1.63 times higher than in the main wards. Based on known health hazards, our results suggest that the PAEs seriously influence the health of the pregnant women and babies; therefore, it is of great importance to take the phthalate concentrations in hospitals into consideration. In addition, hospital indoor air was more seriously contaminated than the air of newly decorated houses.     

Antibiotics along an alpine river and in the receiving lake with a catchment dominated by grazing husbandry

The livestock breeding industries face overuse of antibiotics, which has been intensively studied in recent years. However, the occurrence and fate of antibiotics as well as their potential threats to the aquatic environments in alpine and arid regions remain unclear. This study investigated the relationship of the occurrence and concentrations of antibiotics between the Kaidu River and Bosten Lake in a typical alpine basin in China. Hot spots with antibiotic pollution source were explored. The antibiotic concentrations in river water and suspended sediment (SPS) were 2.20-99.4 ng/L and 1.03-176 ng/g. The dominant antibiotics were tetracyclines, sulphacetamide, and ofloxacin in river water and sulfonamides, clarithromycin, roxithromycin, and ofloxacin in SPS. The apparent differences in pollution sources and landscapes in different reaches led to the obvious spatial patterns of antibiotics in the Kaidu River. Higher partition coefficient of antibiotic between SPS and water phases for sulfonamides than tetracyclines was because that tetracyclines strongly responded to clay contents while sulfonamides significantly responded to organic carbon contents in SPS. There were significant differences in detected antibiotic categories between the river and the lake. Fluoroquinolones (especially ciprofloxacin and enrofloxacin) were detected in the lake while sulphacetamide was only detected in the river. Therefore, the surrounding husbandry and aquaculture around the Bosten Lake was an important antibiotic pollution source in addition to inputs from the Kaidu River. This research suggested that alpine lakes could be an important sink of antibiotics in alpine dry regions, and thus impose greater threats to the aquatic ecosystem.     

节能型虹吸式滗水器的设计与应用

详细介绍了虹吸式滗水器的构成、特点及工作原理,结合理论和实践经验给出了虹吸式滗水器的设计、计算方法及关键设计参数,提出了常规使用方法,整套设备的设计全面而简单明了。     

电石渣-石膏湿法烟气脱硫废水处理工艺研究

电石渣-石膏湿法脱硫废水与石灰石-石膏湿法脱硫废水存在差异,主要体现在悬浮物与COD较难去除,采用在中和池添加助凝剂与曝气池添加氧化剂的方法,可在沿用石灰石法脱硫废水处理工艺设计的前提下达到对电石渣法脱硫废水的良好处理效果。     

基于高铁酸钾同步氧化-絮凝技术在污水处理中的研究进展

Fe(Ⅵ)具有较高的氧化还原电位,Fe(OH)3具有良好的絮凝效果,废水处理中高铁酸钾发挥同步氧化和絮凝作用。介绍高铁酸钾处理各种难降解废水的机理,同时分析高铁酸钾投加量、pH、反应温度、反应时间等因素对各种废水去除效果的影响。并提出基于高铁酸钾同步氧化絮凝技术处理污水的局限性和未来的发展方向。     

Effects of typical algae species (Aphanizomenon flosaquae and Microcystis aeruginosa) on photoreduction of Hg2+ in water body

Photoreduction characteristics of divalent inorganic mercury(Hg~(2+)) in the presence of specific algae species are still not well known. Laboratory experiments were conducted in the present study to identify the effects of different concentrations of living/dead algae species, including Aphanizomenon flosaquae(AF) and Microcystis aeruginosa(MA), on the photoreduction rate of Hg~(2+)under various light conditions. The experimental results showed that percentage reduction of Hg~(2+)was significantly influenced by radiation wavelengths, and dramatically decreased with the presence of algae. The highest percentage reduction of Hg~(2+)was induced by UV-A, followed by UV-B, visible light and dark for both living and dead AF, and the order was dark UV-A UV-B visible light for both living and dead MA. There were two aspects, i.e., energy and attenuation rate of light radiation and excrementitious generated from algae metabolisms, were involved in the processes of Hg~(2+)photoreduction with the presence of algae under different light conditions. The percentage reduction of Hg~(2+)decreased from 15% to 11% when living and dead AF concentrations increased by 10 times(from 106 to 105 cells/mL), and decreased from 11% to ～ 9% in the case of living and dead MA increased. Algae can adsorb Hg~(2+)and decrease the concentration of free Hg~(2+), thus inhibiting Hg~(2+)photoreduction, especially under the conditions with high concentrations of algae. No significant differences were found in percentage reduction of Hg~(2+)between living and dead treatments of algae species.The results are of great importance for understanding the role of algae in Hg~(2+)photoreduction.     

改善北京市大气环境质量中居民支付意愿的影响因素分析

本文旨在用统计的方法 ,分析影响北京市居民为改善大气环境质量而付费的支付意愿的主要社会经济因素。分析结果表明 ,对被调查者支付意愿影响最显著的因素是家庭收入 ,其次是年龄、家庭人口数和教育水平。其中 ,收入和教育水平对支付意愿的影响为正 ,年龄和家庭人口数的影响为负。对调查范围内八个行政区被调查者的支付意愿均值比较显示 ,这八个区居民的支付意愿没有显著性差异。本文的结论是 ,提高收入水平和环境意识水平 ,是提高公众为改善环境质量而付费的支付意愿的有效途径     

润滑油基础油在储运过程中可能产生的危害和对策

分析了润滑油基础油在储运过程中,油品质量可能产生的不良变化和对周围环境造成的危害.针对这些危害提出了解决的对策.     

抗生素与三唑类杀菌剂混合物对羊角月牙藻的长期毒性相互作用研究

地表水中抗生素与农药的混合暴露及其潜在生态与健康风险受到广泛关注。然而,目前关于抗生素与农药混合毒性研究大多仅考虑急性毒性,缺乏其长期毒性相互作用的研究。以较为广泛使用的2种抗生素土霉素(OXY)、环丙沙星(CIP)和1种三唑类杀菌剂农药戊唑醇(TCZ)及其二元混合物为研究对象,以生态系统中初级生产者绿藻(羊角月牙藻)为受试生物,研究目标混合物在暴露时间为96、120、144和168 h的长期毒性相互作用。结果表明,单一物质及其混合物随暴露时间延长而毒性增大;同一暴露时间点的单一污染物毒性大小顺序为OXYTCZCIP;混合物毒性相互作用与浓度、混合物组分和暴露时间三者密切相关;混合体系的拮抗作用均出现在高浓度区域,而中、低浓度区域呈协同作用或加和作用; OXY-CIP与CIPTCZ混合体系的协同作用随着暴露时间延长而协同作用逐渐增大。研究结果对水环境中抗生素与农药复合污染生态风险评估具有重要的现实意义。