Biofiltration and disinfection codetermine the bacterial antibiotic resistome in drinking water: A review and meta-analysis

• Published data was used to analyze the fate of ARGs in water treatment. • Biomass removal leads to the reduction in absolute abundance of ARGs. • Mechanism that filter biofilm maintain ARB/ARGs was summarized. • Potential BAR risks caused by biofiltration and chlorination were proposed. The bacterial antibiotic resistome (BAR) is one of the most serious contemporary medical challenges. The BAR problem in drinking water is receiving growing attention. In this study, we focused on the distribution, changes, and health risks of the BAR throughout the drinking water treatment system. We extracted the antibiotic resistance gene (ARG) data from recent publications and analyzed ARG profiles based on diversity, absolute abundance, and relative abundance. The absolute abundance of ARG was found to decrease with water treatment processes and was positively correlated with the abundance of 16S rRNA (r² = 0.963, p<0.001), indicating that the reduction of ARG concentration was accompanied by decreasing biomass. Among treatment processes, biofiltration and chlorination were discovered to play important roles in shaping the bacterial antibiotic resistome. Chlorination exhibited positive effects in controlling the diversity of ARG, while biofiltration, especially granular activated carbon filtration, increased the diversity of ARG. Both biofiltration and chlorination altered the structure of the resistome by affecting relative ARG abundance. In addition, we analyzed the mechanism behind the impact of biofiltration and chlorination on the bacterial antibiotic resistome. By intercepting influent ARG-carrying bacteria, biofilters can enrich various ARGs and maintain ARGs in biofilm. Chlorination further selects bacteria co-resistant to chlorine and antibiotics. Finally, we proposed the BAR health risks caused by biofiltration and chlorination in water treatment. To reduce potential BAR risk in drinking water, membrane filtration technology and water boiling are recommended at the point of use.     

Locally enhanced electric field treatment (LEEFT) for water disinfection

• Nanowire-assisted LEEFT is applied for water disinfection with low voltages. • LEEFT inactivates bacteria by disrupting cell membrane through electroporation. • Multiple electrodes and device configurations have been developed for LEEFT. • The LEEFT is low-cost, highly efficient, and produces no DBPs. • The LEEFT can potentially be applicable for water disinfection at all scales. Water disinfection is a critical step in water and wastewater treatment. The most widely used chlorination suffers from the formation of carcinogenic disinfection by-products (DBPs) while alternative methods (e.g., UV, O₃, and membrane filtration) are limited by microbial regrowth, no residual disinfectant, and high operation cost. Here, a nanowire-enabled disinfection method, locally enhanced electric field treatment (LEEFT), is introduced with advantages of no chemical addition, no DBP formation, low energy consumption, and efficient microbial inactivation. Attributed to the lightning rod effect, the electric field near the tip area of the nanowires on the electrode is significantly enhanced to inactivate microbes, even though a small external voltage (usually<5 V) is applied. In this review, after emphasizing the significance of water disinfection, the theory of the LEEFT is explained. Subsequently, the recent development of the LEEFT technology on electrode materials and device configurations are summarized. The disinfection performance is analyzed, with respect to the operating parameters, universality against different microorganisms, electrode durability, and energy consumption. The studies on the inactivation mechanisms during the LEEFT are also reviewed. Lastly, the challenges and future research of LEEFT disinfection are discussed.     

Evaluating provincial eco-efficiency in China: an improved network data envelopment analysis model with undesirable output

Environmental Science and Pollution Research - In this study, an improved matrix-type network data envelopment analysis (NDEA) model with undesirable output was developed to evaluate the...     

N2 fixation in urbanization area rivers: spatial-temporal variations and influencing factors

Environmental Science and Pollution Research - While nitrogen (N2) fixation is an important process in nitrogen (N) biogeochemical cycling, supplying a significant portion of the N in natural...     

长三角空气质量区域预报准确性评估方法研究

根据长三角空气质量区域预报工作的实际需要,对分区文字预报和落区图预报两种方式分别制定了不同的空气质量指数级别预报准确性评估方法。分区文字预报根据设定的预报准确性判定方法计算预报评分,落区图预报按区域内预报准确城市占比进行准确率统计。分区文字预报结果显示,2017年长三角区域的预报准确天数占比为62.2%,预报评分为70.2,区域预报评估效果良好。落区图预报评估结果显示,预报级别偏差具有地域性差异,安徽北部、江苏北部和江西中北部预报等级偏高,长三角中南部沿海城市预报等级偏低。该套评估方法可为区域空气质量预报偏差成因分析提供依据,为区域预报工作的改进提供定量参考。     

基于环境容量的县域农用地土壤重金属风险概率预警研究

《土壤污染防治法》的正式出台,标志着我国土壤污染防治工作由"现状治理"转向"风险预防",为此开展区域土壤重金属风险预警研究具有一定的理论与现实意义。以太湖沿岸某产粮县为研究对象,以2015年为基准年,运用重金属输入-输出通量模型和土壤环境负载容量法对研究区耕地土壤中的As、Hg、Cr、Cd、Pb 5种重金属15年(2030年)与35年(2050年)后的风险概率进行预警研究。研究结果表明:大气干湿沉降成为除As以外其他4种土壤重金属的主要来源,畜禽粪便、化肥投入与灌溉水也会在一定程度上影响土壤重金属输入;此外,研究区耕层土壤中As、Cr、Pb 3种重金属整体情况较为良好,Hg、Cd污染风险概率较高,主要分布在研究区中部的O镇、P镇。通过GIS技术与区域物质流通量模型的结合能够很好地对不同区域以及不同重金属污染类型的区域进行风险预警,这可以为土壤污染差别化管控策略的制定提供重要思路。     

考虑黏结性退化的锈蚀PC梁抗弯承载力计算方法∗

钢绞线锈蚀降低了其与混凝土间的黏结性,导致钢绞线与其周围混凝土间的变形不协调,影响预应力混凝土梁的抗弯性能。采用快速锈蚀试验得到了不同锈蚀程度的16个有箍筋和无箍筋拉拔试件,通过拉拔试验得到了试件开始滑移及破坏时的拉拔力;回归了黏结折减系数与锈蚀率之间的关系式,并将其融入到预应力混凝土梁的抗弯承载力分析模型中,提出了考虑黏结性退化的锈蚀预应力混凝土梁抗弯承载力计算方法。试验结果表明：有箍筋试件的黏结强度大于无箍筋试件;随着钢绞线锈蚀水平的增大,箍筋对黏结强度退化的约束作用逐渐减小;黏结折减系数随锈蚀率的增加呈指数函数规律递减。将理论值与本文及已有文献中锈蚀预应力混凝土梁抗弯性能试验结果进行了比较,计算结果表明本方法预测精度较高,最大误差在6%以内,验证了本抗弯承载力计算方法的适用性,可为服役预应力混凝土桥梁抗弯承载力评估提供参考。     

基于ZIF-L的微固相萃取技术测定地表水中痕量典型多环芳烃

制备类沸石咪唑酯骨架ZIF-L材料,将其用作微固相萃取吸附剂,处理水中萘、苊、苊烯、芴、菲、蒽、荧蒽、芘等8种痕量典型多环芳烃,再用HPLC测定。试验表明,ZIF-L对上述多环芳烃的萃取效率明显高于商品化萃取材料C 18和多壁碳纳米管。方法在0.100μg/L^200μg/L范围内线性良好,方法检出限为0.02μg/L^0.03μg/L,标准溶液5次测定结果的RSD为4.7%~9.5%,实际水样加标回收率为84.5%~115%。将该方法用于北太湖5个点位水样的测定,测定值为未检出~3.40μg/L。     

面向实时人群动力学分析的深度基本图网络

当前行人疏散实验中基本图计算方法通常是通过对每个行人进行跟踪实现的.但这种跟踪方法难以实现实时人群动力学分析.针对这一问题,提出了深度基本图网络.实验提出的网络框架由两个模块组成,即多尺度递归卷积神经网络(MSR-Net)和光流模块,分别对行人密度和行人速度进行估计.具体来讲,MSR-Net学习了输入图像与行人密度图之...     

Diopside-based glass-ceramics from MSW fly ash and bottom ash

By utilising MSW fly ash from the Shanghai Yuqiao municipal solid waste (MSW) incineration plant as the main raw material, diopside-based glass-ceramics were successfully synthesized in the laboratory by combining SiO(2), MgO and Al(2)O(3) or bottom ash as conditioner of the chemical compositions and TiO(2) as the nucleation agent. The optimum procedure for the glass-ceramics is as follows: melting at 1500 degrees C for 30 min, nucleating at 730 degrees C for 90 min, and crystallization at 880 degrees C for 10h. It has been shown that the diopside-based glass-ceramics made from MSW fly ash have a strong fixing capacity for heavy metals such as lead (Pb), chromium (Cr), cadmium (Cd) etc.