利用玻纤袋除尘器处理立窑烟气

介绍了机立窑利用玻纤袋除尘器处理立窑烟气进行清洁生产工作机理、效果,以及脱硫原理及监测效果,并提出了几点使用中应注意的问题.     

湖北省生态环境与健康素养水平调查及对策研究

根据2019年7月国务院印发和出台的《国务院关于实施健康中国行动的意见》(国发〔2019〕13号)和《健康中国行动(2019—2030年)》提出的相应考核指标,在基本理念、基本知识和基本技能3个生态环境与健康素养一级分类指标中,当调查对象得分之和大于或等于卷面分数的70％,则认为其具备该分类生态环境与健康素养.居民整体...     

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.     

城市景观水污染现状及处理技术

城市景观水体由于水质恶化而渐渐影响附近居民的正常生活,要从根本上保证水质需采取一定的水源保护和水处理措施。在景观水处理中,适用于景观水处理的工艺有很多,但工程实施中需要对其进行选择、优化、组合。随着社会不断发展和人们生活质量要求不断提高,景观水处理也必将成为继生活用水处理、工业用水处理后的又一给水处理新领域。     

内置转盘式膜-生物反应器处理污水的工艺条件研究

对内置转盘式膜-生物反应器(SRMBR)处理污水工艺进行了研究.进水COD 160～368 mg/L时,出水COD在运行1d后降低到20 mg/L以下,去除率大于90%;转盘式膜组件的转速在0～25 r/min范围内,平衡膜通量随转速增大而快速增加,继续增大转速则平衡膜通量的增加变得不显著;在一定范围(0～1min)内延长停抽时间有助于缓解膜污染;SRMBR在较低的气水比(15∶1)下运行,也可达到较高的平衡膜通量.研究表明,SRMBR在最佳组合操作条件(转速为25r/min,抽/停为9min/1min,气水比为15∶1,抽吸压力为25kPa)下运行,其平衡膜通量高达53.75L/(m²·h).     

聚合氯化铝-腐殖酸(PACl-HA)絮体的物理与分形特征研究

采用低温急速冷冻-真空干燥技术制备了PACl-HA絮体的粉末样品,研究了这些样品的物理与分形特征.结果表明,PACl-HA絮体具有无定形结构,主要组成元素为C、O、Al,所含特征官能团保留了絮体组成原料的一些特征;絮体的BET比表面积为130～161 m²·g^-1,BJH累积吸附孔体积为0.38～0.52 cm³·g^-1,BJH脱附平均孔径为7.7～9.6nm,PSD峰值对应孔径8.4～11.2nm.PACl-HA絮体具有自相似性的粗糙表面,呈现多尺度分形特征;图象法和N₂吸附/脱附等温线法确定的表面分形维数Ds分别为2.03～2.26、2.24～2.37,前者的分形尺度大约处于23～390nm之间,主要属于絮体外表面尺度,而后者的分形特征尺度区间的下限大约为0.2nm,属于孔表面尺度;另外,对同一絮体,N₂吸附法和脱附法确定的孔表面分形维数不同.热力学模型计算出的D_s远大于3,与Sahouli等的研究不符.     

Alteration of dominant cyanobacteria in different bloom periods caused by abiotic factors and species interactions

Freshwater cyanobacterial blooms have drawn public attention because they threaten the safety of water resources and human health worldwide. Heavy cyanobacterial blooms outbreak in Lake Taihu in summer annually and vanish in other months. To find out the factors impacting the cyanobacterial blooms, the present study measured the physicochemical parameters of water and investigated the composition of microbial community using the 16S rRNA gene and internal transcribed spacer amplicon sequencing in the months with or without bloom. The most interesting finding is that two major cyanobacteria, Planktothrix and Microcystis, dramatically alternated during a cyanobacterial bloom in 2016, which is less mentioned in previous studies. When the temperature of the water began increasing in July, Planktothrix appeared first and showed as a superior competitor for M. aeruginosa in NO₃^?-rich conditions. Microcystis became the dominant genus when the water temperature increased further in August. Laboratory experiments confirmed the influence of temperature and the total dissolved nitrogen (TDN) form on the growth of Planktothrix and Microcystis in a co-culture system. Besides, species interactions between cyanobacteria and non-cyanobacterial microorganisms, especially the prokaryotes, also played a key role in the alteration of Planktothrix and Microcystis. The present study exhibited the alteration of two dominant cyanobacteria in the different bloom periods caused by the temperature, TDN forms as well as the species interactions. These results helped the better understanding of cyanobacterial blooms and the factors which contribute to them.     

太湖流域典型城镇水环境芳香胺类污染特征

利用固相萃取-气相色谱/串联质谱法(SPE-GC-MS/MS),对太湖流域上游城镇常州武南地区的地表水体和典型排放源中的4种芳香胺类污染物(AAs)进行连续2年监测,综合分析了2018～2019年间AAs的污染及浓度特征.结果表明,武南地区河网中目标AAs的总浓度范围为相似文献   

基于聚类方法下的柴油车排放颗粒物无机元素谱分析

近年来在大气污染的防治工作中,柴油车污染防治的重要性日渐凸显.本文通过测试和文献检索等方法收集了97组与柴油车排放颗粒物无机元素排放有关的数据,采用k-means均值聚类分析的方法对数据进行分类并对分类结果进行分析,得出柴油车无机元素排放占颗粒物比例的大致区间为:Si(0—4.62%)、Al(0—1.53%)、Ca(0—4.09%)、Na(0—2.61%)、Mg(0—2.68%)、K(0—0.85%)、Fe(0—3.4%)、Zn(0—0.54%)、Cu(0—1.49%)、Ni(0—0.06%),且所得无机元素的排放区间的置信水平均大于94%.同时得到的柴油车排放颗粒物无机元素分析结果,可以为后续柴油车排放颗粒物无机元素数据分析以及相关污染治理提供参考,进而促进我国大气环境质量的改善、更好地保障人们身体健康.