Metabolic uncoupler, 3,3′,4′,5-tetrachlorosalicylanilide addition for sludge reduction and fouling control in a gravity-driven membrane bioreactor

• Effects of metabolic uncoupler TCS on the performances of GDMBR were evaluated. • Sludge EPS reduced and transformed into dissolved SMP when TCS was added. • Appropriate TCS increased the permeability and reduced cake layer fouling. • High dosage aggravated fouling due to compact cake layer with low bio-activity. The gravity-driven membrane bioreactor (MBR)system is promising for decentralized sewage treatment because of its low energy consumption and maintenance requirements. However, the growing sludge not only increases membrane fouling, but also augments operational complexities (sludge discharge). We added the metabolic uncoupler 3,3′,4′,5-tetrachlorosalicylanilide (TCS) to the system to deal with the mentioned issues. Based on the results, TCS addition effectively decreased sludge ATP and sludge yield (reduced by 50%). Extracellular polymeric substances (EPS; proteins and polysaccharides) decreased with the addition of TCS and were transformed into dissolved soluble microbial products (SMPs) in the bulk solution, leading to the break of sludge flocs into small fragments. Permeability was increased by more than two times, reaching 60–70 L/m²/h bar when 10–30 mg/L TCS were added, because of the reduced suspended sludge and the formation of a thin cake layer with low EPS levels. Resistance analyses confirmed that appropriate dosages of TCS primarily decreased the cake layer and hydraulically reversible resistances. Permeability decreased at high dosage (50 mg/L) due to the release of excess sludge fragments and SMP into the supernatant, with a thin but more compact fouling layer with low bioactivity developing on the membrane surface, causing higher cake layer and pore blocking resistances. Our study provides a fundamental understanding of how a metabolic uncoupler affects the sludge and bio-fouling layers at different dosages, with practical relevance for in situ sludge reduction and membrane fouling alleviation in MBR systems.     

High heterogeneity of bacterioplankton community shaped by spatially structured environmental factors in West Lake,a typical urban lake in eastern China

Environmental Science and Pollution Research - Elucidating the bacterioplankton spatial distribution patterns and its determinants is a central topic in ecological research. However, research on...     

Does regional energy consumption disparities assist to control environmental degradation in OBOR: an entropy approach

China launched the One Belt & One Road (OBOR) initiative to minimize the energy resource shortage. The China’s nearby countries are rich in energy resources especially Middle East and North Africa (MENA) and Asian countries which make them ideal locations to cooperate with China in terms of energy resources, as 42.8% of world energy consumption belongs to OBOR countries. The present study elaborates the spatial distribution pattern of energy consumption disparities and its impact on environment. To do this, an entropy approach is utilized to compute the energy consumption inequalities in OBOR and its regions. The spatial and Pareto analysis show that MENA, East, and Southeast Asian economies have the highest degree of energy consumption inequalities, while European and Central Asian economies show the lowest energy consumption inequalities in OBOR region. The long-run estimates indicate that energy consumption inequalities enhance the CO₂ emission in OBOR and its region except South and Southeast Asia. Financial development also has a significantly positive impact on CO₂ emission in all models for OBOR and its regions except East Asia. Based on findings, the spatial distribution analysis is applicable to maintain balance in regional energy consumption inequality within OBOR and its regions.

     

3种喹诺酮类抗生素在骆马湖饮用水源地沉积物上的吸附特征

为探究喹诺酮类抗生素(QNs)在饮用水源地的吸附特征,2019年6月于江苏骆马湖饮用水源地采集沉积物样品,用5种动力学方程拟合沉积物对诺氟沙星(NOR)、环丙沙星(CIP)和氧氟沙星(OFL)的吸附动力学过程,并用Langmuir和Freundlich模型拟合以上3种QNs的吸附热力学过程,分析了pH、水土比和不同Na~+、Ca~(2+)、Mg~(2+)、Al~(3+)浓度对吸附过程的影响。结果表明:骆马湖沉积物对3种QNs的吸附在8h达到平衡,准二级动力学方程和Langmuir模型能更好地描述3种QNs的吸附动力学和热力学过程。酸性条件下,3种QNs的吸附效果更好,且在pH=5时平衡吸附量最大。平衡吸附量随着水土比的上升而下降。Na~+对吸附的抑制作用不明显,Ca~(2+)和Mg~(2+)的抑制作用较强,而Al~(3+)对吸附表现为促进作用。应在枯水期和南水北调时期加强对骆马湖饮用水源地(尤其是东北部)QNs污染的关注。     

高分子稳定剂改良河道岸坡表层砂土水稳定性试验研究∗

针对河道岸坡表层砂土水稳定性问题,采用高分子稳定剂对砂土进行改良,结合浸泡崩解测试法和浸泡剪切测试法对改良砂土的水稳定性进行一系列的试验研究,并对砂土改良前后的水稳定性进行对比分析,并结合微观扫描电镜对改良机理进行分析。研究结果表明：稳定剂可以提高河道岸坡表层砂土的水稳定性。改良砂土随着稳定剂含量和密度的增大,崩解后的散开面积减少,当稳定剂含量达到0.3%时,试样呈现稳定状态。改良砂土试样在200 kPa轴向应力下的剪应力峰值整体上随稳定剂含量和密度的增加而增加。改良砂土的水稳定系数K随着稳定剂含量和砂土密度的增加而增大;当稳定剂含量大于3%时,改良砂土的稳定系数K均达到90以上。高分子稳定剂作为一种土体改良材料,与水混合后加入到砂土中,可填充砂土颗粒间的孔隙,包裹和连接砂土颗粒,形成一个整体的网状膜结构,提高砂土的水稳定性能。研究结果可为河道岸坡有效治理提供一定的参考。     

环境空气质量自动监测站的管理与维护

随着工业化、城镇化的深入推进,二氧化硫、氮氧化物、烟粉尘和挥发性有机物等各类污染物排放到环境中,致使中国大气受到严重污染,给人体的健康、动植物的生长、发育和繁殖等带来负面的影响。为实时监测环境空气质量,建立环境空气质量自动监测站逐渐成为大气污染防治的主要手段。文中以环境空气质量自动监测站为研究对象,提出环境空气质量自动监测站管理与维护面临的问题,探讨相应的解决措施,以期为环境空气质量自动监测站的管理与维护提供参考依据。     

浅谈如何开展环境监测类设施公众开放日活动

随着城市工业化的快速发展,突发性环境污染事故逐渐增多,因此,环境公众开放日活动显得尤为重要。本文结合实际情况,探讨如何开展监测类公众开放日活动。     

碳汇造林项目促进了当地经济发展吗?--基于四川县域面板数据的PSM-DID实证研究

林业是重要的碳汇资源,在减缓全球气候变化、改善自然生态环境、促进经济可持续发展等方面有着至关重要的作用。作为林业碳汇的重要实现形式,碳汇造林项目兼具生态保护、促进经济发展与贫困减缓等重要功能,其实施成效究竟如何需要进一步验证。为此,本文从理论上分析了碳汇造林项目对县域经济发展的影响机理,利用2000—2016年四川47个县域的面板数据,采用PSM-DID模型估计了碳汇造林项目对县域经济发展的平均效应和动态效应,并对其影响机理进行了验证。结果显示:①碳汇造林项目的实施显著地促进了地区实际GDP和人均实际GDP的增长,这一结论在进行稳健性检验后依然成立;②囿于项目周期较长,此促进作用在短期内尚不能立竿见影,具有明显的滞后效应,且实施的时间越长,对当地经济发展的促进作用越大;③碳汇造林项目主要通过优化当地产业结构、提高居民储蓄率、提升地区政府财政收支水平等途径促进当地经济发展。因此,为更好地发挥碳汇造林项目对县域经济发展的促进作用,应继续拓展碳汇造林项目的覆盖区域,加大专项投资力度,引导碳汇造林项目向生态脆弱的深度贫困地区倾斜;在更加注重碳汇造林项目的长期效应的同时,应建立完善项目运行的长效稳定机制,防范潜在的自然与市场风险,保障项目对地区经济发展的长期驱动力;加快改善地区的融资环境,鼓励居民和企业将储蓄和融资能力有效转化为投资能力,充分依托碳汇造林项目促进当地经济可持续发展。     

γ-Al2O3微孔膜制备及其处理电镀废水的研究

膜分离技术在电镀废水处理领域有着良好的应用前景。以异丙醇铝为主要原料,经酸解、除醇、干燥和烧结过程制备陶瓷膜。采用8 nm粒径溶胶多次真空覆涂-焙烧法,在1℃/m in的焙烧条件下制备了非对称氧化铝微孔膜。测试了陶瓷膜的纯水通量、膜截留性能、膜流动电位,结果表明:经过4次的浸涂成膜,纯水通量为3.55×103L/(MPa.h.m2),达到超滤膜的要求;通过截留率计算膜片平均孔径为28 nm;流动电位为-20 mV。将制得的陶瓷膜用于电镀废水处理,COD去除率为85%,在透过液中Cu、Cr、N i浓度分别为0.0663、0.0051和0.0763 mg/L,回用废水可满足电镀前处理的使用要求。     

基于FHWA的兰州市道路交通噪声预测模型的建立

结合美国道路交通噪声污染预测模型(FHWA)和国内学者在该方面的大量研究成果,选择兰州市主、次干道共计52条、142个监测点的建模采样数据,并应用统计学原理分析了影响道路交通噪声的各个因子与道路交通噪声的相关性,最终得出了符合兰州市道路交通特征的噪声污染统计预测模型.随后通过兰州市15个监测点的预测与实测对比验证后发现二者具有较高的一致性,此模型可应用在兰州市道路交通噪声污染的预测评价中.