新烟碱类农药呋虫胺对映体选择性研究进展

农业生产中,呋虫胺以外消旋体的形式销售和使用,在进入生态环境后出现对映体选择性降解、吸收、代谢、排泄等.不区分对映体间差异的传统风险评估给呋虫胺的合理使用与生态安全带来了诸多隐患.研究指出S-呋虫胺既是高毒体也是高活体,其生态毒性为R-呋虫胺的13.9~145.9倍,但R-呋虫胺也表现出较高的杀虫活性,且作物中优先降解,开发高比例的R体农药有利于维持杀虫活性的同时降低对非靶生物和生态环境的负效应.本文旨在综述呋虫胺对映体选择性生物活性、生态毒性及环境行为研究进展,为其科学难题的解决提供新思路,也为其科学有效管理提供理论依据.     

兼氧条件下厨余垃圾发酵液作碳源的反硝化性能

在兼氧条件下,利用厨余垃圾厌氧发酵液调节反硝化系统的碳氮比（COD/TN,C/N）,并考察了其脱氮性能.结果表明,不同C/N条件下,反应系统均未出现有机物的积累,但高C/N条件下的亚硝酸盐最大积累浓度和积累速率高于低C/N;随着进水C/N的增大,反应整体脱氮率和反硝化速率不断增大,当C/N为13时,反硝化速率达到了最大值,为9.79mg/（gVSS·h）,其脱氮率超过95%;相同C/N条件下,反硝化速率和最大亚硝酸盐积累浓度均与进水硝酸盐浓度成正比.此外,实验结果表明,兼氧条件下的反硝化过程虽不易出现COD残留,但去除单位氮所需的有机物更多,且整体反硝化速率以及亚硝酸盐还原速率均低于厌氧条件.     

Impact of meteorological condition changes on air quality and particulate chemical composition during the COVID-19 lockdown

Stringent quarantine measures during the Coronavirus Disease 2019 (COVID-19) lockdown period (January 23, 2020 to March 15, 2020) have resulted in a distinct decrease in anthropogenic source emissions in North China Plain compared to the paralleled period of 2019. Particularly, 22.7% decrease in NO₂ and 3.0% increase of O₃ was observed in Tianjin, nonlinear relationship between O₃ generation and NO₂ implied that synergetic control of NO_x and VOCs is needed. Deteriorating meteorological condition during the COVID-19 lockdown obscured the actual PM_2.5 reduction. Fireworks transport in 2020 Spring Festival (SF) triggered regional haze pollution. PM_2.5 during the COVID-19 lockdown only reduced by 5.6% in Tianjin. Here we used the dispersion coefficient to normalize the measured PM_2.5 (DN-PM_2.5), aiming to eliminate the adverse meteorological impact and roughly estimate the actual PM_2.5 reduction, which reduced by 17.7% during the COVID-19 lockdown. In terms of PM_2.5 chemical composition, significant NO₃^? increase was observed during the COVID-19 lockdown. However, as a tracer of atmospheric oxidation capacity, odd oxygen (O_x = NO₂ + O₃) was observed to reduce during the COVID-19 lockdown, whereas relative humidity (RH), specific humidity and aerosol liquid water content (ALWC) were observed with noticeable enhancement. Nitrogen oxidation rate (NOR) was observed to increase at higher specific humidity and ALWC, especially in the haze episode occurred during 2020SF, high air humidity and obvious nitrate generation was observed. Anomalously enhanced air humidity may response for the nitrate increase during the COVID-19 lockdown period.     

基于PMF模型解析典型化工园区VOCs污染来源应用研究

选取某小型化工园区为研究对象,在不同日期进行样品采集并使用气相色谱-质谱联用仪(GC-MS)定性定量分析,评估该区域VOCs污染水平及特征,同时研究P MF模型解析小尺度区域VOCs污染来源的可行性.结果表明,该研究区域VOCs浓度明显高于城市环境空气及其他化工园区,存在较重污染;该区域VOCs的主要成分为丙烯、苯、甲苯、萘、间-乙基甲苯、丙酮、丙烷、1,2,4-三甲苯、异丁烷等物质,各排放源污染特征显著,差异性明显;使用PMF模型对观测期间VOCs源解析,共获得4个因子,各因子与该区域不同排放源工艺及污染特征能够高度对应,并依此计算了各点位VOCs污染来源,结果与污染物扩散规律相符,PMF模型应用于小尺度污染物溯源分析具有可行性,能够很好地解析VOCs污染来源.     

Speciation characterization and coagulation of poly-silica-ferric-chloride：The role of hydrolyzed Fe（Ⅲ） and silica interaction

The highly e cient inorganic polymer flocculants (IPFs) of the ferric-silica system is a new and promising coagulant. Interactions between ferric species and silica play a large part in the coagulation of suspensions. These e ects are quite distinct from those associated with polymeric or colloid silica. However, although these species are key to coagulation e ciency, they have not been comprehensively discussed. A new type of coagulant, poly-silica-ferric-chloride (PFSC), was synthesized by co-polymerization and characterized by time complexation spectroscopy and photon correlation spectroscopy. Compared with traditional ferric salt, the results indicated that PFSC had a higher molecular weight, lesser positive charge, lower Feb and higher Fec. The higher the Si/Fe ratio, the higher the silica and lower the silicac found. The PFSC with appropriate polysilica acid not only obtained better coagulation/flocculation e ciency in turbidity removal, enhanced the flocculation index (FI) and provided less residual ferric, it also lowered water treatment costs compared to traditional ferric salt. Results showed that PFSC could remove colloid particles in water by charge neutralization and sweeping, adsorption bridging mechanism.     

时延神经网络对宝兴树蛙异质种群鸣叫的聚类分析

对瓦屋山宝兴树蛙3个不同海拔分布(A:山下;B:山腰;C:山上)的异质种群鸣叫的时频参数进行分析,发现三地鸣叫各参数互相重叠,无明显界线.常规统计分析不能使三地的鸣叫聚类为各自的组.使用时延神经网络对三地宝兴树蛙鸣叫的时频参数进行有指导聚类,发现三种群鸣叫有地区性差异,并表现出由个体交流引起的山腰种群群体特征的不显著.推测差异可能是因为长期地理隔离所导致.基于神经网络的分析结果,对各种群间的个体交流情况进行了初步估计.图6表1参20     

Photoelectrochemical technology for solar fuel generation,from single photoelectrodes to unassisted cells: a review

Environmental Chemistry Letters - Photoelectrochemical solar fuel generation requires a highly integrated technology for converting solar energy into chemical fuels. Dihydrogen (H2) and...     

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.     

Functional flax fiber with UV-induced switchable wettability for multipurpose oil-water separation

● A PAA-ZnO-HDTMS flax fiber with UV-induced switchable wettability was developed. ● The property of flax fiber could be switched from hydrophobicity to hydrophilicity. ● The mechanism of the acquired UV-induced switchable wettability was discussed. ● The developed flax fiber was successfully used for multipurpose oil-water separation. The large number of oily wastewater discharges and oil spills are bringing about severe threats to environment and human health. Corresponding to this challenge, a functional PAA-ZnO-HDTMS flax fiber with UV-induced switchable wettability was developed for efficient oil-water separation in this study. The developed flax fiber was obtained through PAA grafted polymerization and then ZnO-HDTMS nanocomposite immobilization. The as-prepared PAA-ZnO-HDTMS flax fiber was hydrophobic initially and could be switched to hydrophilic through UV irradiation. Its hydrophobicity could be easily recovered through being stored in dark environment for several days. To optimize the performance of the PAA-ZnO-HDTMS flax fiber, the effects of ZnO and HDTMS concentrations on its switchable wettability were investigated. The optimized PAA-ZnO-HDTMS flax fiber had a large water contact angle (~130°) in air and an extremely small oil contact angle (~0°) underwater initially. After UV treatment, the water contact angle was decreased to 30°, while the underwater oil contact angle was increased to more than 150°. Based on this UV-induced switchable wettability, the developed PAA-ZnO-HDTMS flax fiber was applied to remove oil from immiscible oil-water mixtures and oil-in-water emulsion with great reusability for multiple cycles. Thus, the developed flax fiber could be further fabricated into oil barrier or oil sorbent for oil-water separation, which could be an environmentally-friendly alternative in oil spill response and oily wastewater treatment.     

Co-pyrolysis of oil sludge with hydrogen-rich plastics in a vertical stirring reactor: Kinetic analysis,emissions, and products

● Collaborative treatment of plastics and OS was established to improve oil quality. ● PE addition successfully improved OS pyrolysis process by deploying H/C_eff ratio. ● Higher H/C_eff ratio promoted cracking to obtain more gas and light oil fractions. ● The degradation of PE and OS was promoted each other under their temperature range. Pyrolysis is an effective method to treat oily sludge (OS) due to its balance between oil recovery and nonhazardous disposal. However, tank bottom OS contains a high content of heavy fractions, which creates obstacles for pyrolysis due to the high activation energy. The incomplete cracking of macromolecules and secondary polymerization decreases the oil quality and causes coking during the operation process. This study introduced polyethylene (PE) into OS to deploy the H/C_eff ratio of feedstocks for pyrolysis. A strong interaction between OS and PE during copyrolysis could be observed from the TG/DTG curves. PE tightly participated in OS degradation, while OS also promoted PE degradation at high temperature. Apparent pits were generated in solid residues from copyrolysis, which was attributed to the uniform and violent gas release. In addition to HCN, other nitrogenous and sulphurous pollutants were inhibited. Accordingly, more gas products were attained after PE addition with more value-added compositions of alkanes and alkenes. Although the oil yield decreased after PE addition, the oil products from copyrolysis possessed higher heating values and higher contents of light fractions with short chains as well as paraffins. Consequently, copyrolysis of OS and PE significantly improved the pyrolysis process and resulted in high oil quality.