上泉拱坝稳定分析及加固设计

上泉水库坝体为浆砌石连拱坝,现被定为病险水库,通过对拱坝结构强度、支墩抗滑稳定的计算分析,采用右坝肩基础、支墩防渗处理、坝体加固处理等措施进行除险加固,并对大坝稳定进行了验算。     

臭氧氧化预处理难降解农药废水的研究

采用臭氧氧化技术预处理脲类农药生产废水,调节废水pH至弱碱,在此基础上考察废水臭氧氧化预处理的影响因素,得出最佳预处理条件：COD为200 mg/L,初始pH为11.3,臭氧投加量为14.2 mg/L。连续预处理180 min后,可生化性从0.12提高到0.58,说明该项技术可大大提高脲类农药废水的可生化性。     

药剂抑制铜绿微囊藻生长的试验研究

研究用从芦苇中提取的2-甲基乙酰乙酸乙酯和大麦秸浸出液两种化感物质以及十六烷基溴化铵和异噻唑啉酮等四种药剂对不同生长期的铜绿微囊藻进行了对比抑制试验,结果显示在铜绿微囊藻生长的迟缓期投加试验药剂效果比在对数期投加效果都好,在迟缓期投加四种药剂,都有很好的抑藻效果;在铜绿微囊藻生长的对数期投加化感物质,虽然有一定的抑藻率,但效果较差,而在藻对数期投加10mg/L以下的CTAB和异噻唑啉酮能达到很好的水华抑制效果。同时发现,化感物质在某些浓度时还对铜绿微囊藻有刺激生长的作用。     

厌氧氨氧化在生物转盘系统中的实现

厌氧生物转盘系统中接种来自ASBR的厌氧污泥,在温度40～41℃、pH值为8.25～8.50和HRT为1.3d条件下连续运行142d,先后经历了以出水氨氮浓度略高于进水氨氮浓度为特征的污泥适应阶段、以氨氮小幅度去除为特征的厌氧氨氧化菌活性表现阶段及以氨氨和亚硝酸盐氮成比例并大幅度去除为特征的厌氧氨氧化菌活性提高阶段后,成功培养了厌氧氨氧化菌种,启动了反应.在进水氨氮和亚硝酸盐氮负荷均为0.051 kg·m-3·d-1情况下,对二者的去除率分别达到了98.15%和99.56%.污泥的颜色也发生了由黑色→黄白色→棕红色→棕褐色等一系列的变化,通过显微镜镜检发现污泥中细菌主要是革兰氏阴性菌,有短杆状和球状,扫描电镜镜检发现颗粒污泥表面有球状菌的聚集体.     

Release characteristics and control of hydrogen sulfide during thermal drying of municipal wastewater sludge

Journal of Material Cycles and Waste Management - Hydrogen sulfide (H2S) is the most predominant malodorous gas released during the thermal drying of municipal wastewater sludge. Experiment using a...     

Recycling of biogenic hydroxyapatite (HAP) for cleaning of lead from wastewater: performance and mechanism

Environmental Science and Pollution Research - In China, the utilization and recycling of chicken waste have become a significant environmental issue. In this study, we investigate the efficacy of...     

Visualization and analysis of mapping knowledge domain of oxidation studies of sulfide ores

Environmental Science and Pollution Research - The oxidation of sulfide ores is a common phenomenon. To better understand the current development and status of oxidation studies of sulfide ores...     

Occurrence and change of estrogenic activity in the process of drinking water treatment and distribution

From 2010 to 2012, the Yangtze River and Hanjiang River (Wuhan section) were monitored for estrogenic activities during various water level periods. Using a recombinant yeast estrogen screen (YES) assay, 54 water samples were evaluated over the course of nine sampling campaigns. The mean 17β-estradiol equivalent (EEQ) value of raw water from the Yangtze River was 0–5.20 ng/L; and the EEQ level from the Hanjiang River was 0–3.22 ng/L. In Wuhan, drinking water treatment plants (DWTPs) using conventional treatments reduced estrogenic activities by more than 89 %. In general, water samples collected during the level period showed weaker estrogenic activities compared to those collected during the dry period. The samples collected in 2010 showed the strongest estrogenic activities of the 3-year period. The lack of correlations between estrogenic activities and selected common water quality parameters showed that estrogenic activity cannot be tied to common water quality parameters.     

Emissions of parent, nitrated, and oxygenated polycyclic aromatic hydrocarbons from indoor corn straw burning in normal and controlled combustion conditions

Emission factors （EFs） of parent polycyclic aromatic hydrocarbons （pPAHs）, nitrated PAHs （nPAHs）, and oxygenated PAHs （oPAHs） were measured for indoor corn straw burned in a brick cooking stove under different burning conditions. The EFs of total 28 pPAHs, 6 nPAHs and 4 oPAHs were （7.9 ±3.4）, （6.5 ±1.6）×10^-3, and （6.1 ±1.4）×10^-1mg/kg, respectively. Fuel charge size had insignificant influence on the pollutant emissions. Measured EFs increased significantly in a fast burning due to the oxygen deficient atmosphere formed in the stove chamber. In both restricted and enhanced air supply conditions, the EFs of pPAHs, nPAHs and oPAHs were significantly higher than those measured in normal burning conditions. Though EFs varied among different burning conditions, the composition profiles and calculated isomer ratios were similar, without significant differences. The results from the stepwise regression model showed that fuel burning rate, air supply amount, and modified combustion efficiency were the three most significant influencing factors, explaining 72%-85% of the total variations.