Fatty acids and algal lipids as precursors of chlorination by-products

Six common algal fatty acids (FAs) with different numbers of double bonds, lipophilic fractions and proteins extracted from the diatom Navicula pelliculosa and algal cells were chlorinated to evaluate their potential in generating disinfection by-products (DBPs). The result showed that the more double bonds in the FAs, the higher the amounts of chloroform and dichloroacetic acid (DCAA) produced, but such a pattern was not observed for trichloroacetic acid (TCAA). Based on the previously reported composition of fatty acids in algal lipids, the DBP generation potentials of algal lipids were calculated. These predicted values were much lower than those measured in the chlorinated algal lipophilic fraction, suggesting unknown lipophilic fraction(s) served as potent DBPs precursors. Another calculation attempted to predict DBP production in algal cells based on algal lipid and protein composition, given quantified measured DBP production per unit algal lipid and proteins. The analysis showed that the observed DBP production was similar to that predicted (< 35% difference), suggesting that algal biochemical compositions may serve as a bioindicator for preliminary estimation of chloroform, DCAA and TCAA formation upon chlorinating algae.     

Ultrafine particle emission characteristics of diesel engine by on-board and test bench measurement

This study investigated the emission characteristics of ultrafine particles based on test bench and on-board measurements. The bench test results showed the ultrafine particle number concentration of the diesel engine to be in the range of (0.56-8.35) × 10⁸ cm^-3. The on-board measurement results illustrated that the ultrafine particles were strongly correlated with changes in real-world driving cycles. The particle number concentration was down to 2.0 × 10⁶ cm^-3 and 2.7 × 10⁷ cm^-3 under decelerating and idling operations and as high as 5.0 × 10⁸ cm^-3 under accelerating operation. It was also indicated that the particle number measured by the two methods increased with the growth of engine load at each engine speed in both cases. The particle number presented a "U" shaped distribution with changing speed at high engine load conditions, which implies that the particle number will reach its lowest level at medium engine speeds. The particle sizes of both measurements showed single mode distributions. The peak of particle size was located at about 50-80 nm in the accumulation mode particle range. Nucleation mode particles will significantly increase at low engine load operations like idling and decelerating caused by the high concentration of unburned organic compounds.     

Identification of rice cultivars with low brown rice mixed cadmium and lead contents and their interactions with the micronutrients iron, zinc, nickel and manganese

Paddy fields in mining areas are usually co-contaminated by a cocktail of mixed toxic heavy metals (e.g., Cd and Pb in Pb/Zn mines). However, previous studies on rice cultivars screened for effective metal exclusion have mostly focused on individual metals, and have been conducted under pot-trial or hydroponic solution conditions. This study identified rice cultivars with both low Cd and Pb accumulation under Cd-and Pb-contaminated field conditions, and the interactions of the toxic elements Cd and Pb with the micronutrient elements Fe, Zn, Mn and Ni were also studied. Among 32 rice cultivars tested, there were significant differences in Cd (0.06-0.59 mg/kg) and Pb (0.25-3.15 mg/kg) levels in their brown rice, and similar results were also found for the micronutrient elements. Significant decreases in concentrations of Fe and Mn were detected with increasing Cd concentrations and a significant elevation in Fe, Mn and Ni with increasing Pb concentrations. A similar result was also shown by Cd and Ni. Three cultivars were identified with a combination of low brown rice Cd and Pb, high micronutrient and grain yield (Wufengyou 2168, Tianyou 196 and Guinongzhan). Present results suggest that it is possible to breed rice cultivars with low mixed toxic element (Cd, Pb) and high micronutrient contents along with high grain yields, thus ensuring food safety and quality.     

回流对陈垃圾生物反应器处理老年渗滤液污染物影响

为了研究回流对陈垃圾反应器处理老年渗滤液污染物的影响,构建了回流的陈垃圾生物反应器,试验了不同温度、负荷和回流比条件下反应器对污染物的去除效果。结果表明,在较低水力负荷12.8~25.5 L/(d.m2)的情况下,陈垃圾反应器对NH3-N、BOD5和COD等污染物的去除率分别达到90%、95%和70%以上。在不同温度下提高水力负荷,回流会抑制氨氮和COD的去除,但可显著提高TN的去除率,表明回流可作为提高老年渗滤液TN去除率的途径之一。利用氮同位素示踪技术发现反应器中有Anammox脱氮途径存在。但是可利用碳源的缺乏仍是提高老年渗滤液脱氮效率的限制因子。     

基于循环特性的镍氢和锂离子电池环境影响机制分析

为了了解镍氢电池和锂离子电池在生产、使用、废弃或回收过程中的环境影响,建立了一种简单快速的二次电池环境影响机制分析方法。通过生命周期评价(LCA)方法,采用Eco-indicator99体系,综合考虑电池循环容量衰减和循环次数的影响,建立了二次电池环境影响机制分析模型,并运用此模型对两种实验用二次电池(镍氢电池和锂离子电池)的环境影响机制进行了研究。结果表明:1)在所选取的两种二次电池当中,锂离子(Li-ion)电池的环境影响明显比镍氢(Ni-MH)电池的低;2)随着循环次数的增加Li-ion电池环境影响衰减比Ni-MH电池的明显,即随着使用循环次数的增加,Li-ion电池对环境的影响会降低到更多。综合来说,所选取的Li-ion电池比Ni-MH电池更具环境可持续性。文中所提出的环境影响机制分析模型同样可以应用于其他二次电池,以期为环境友好型二次电池的开发提供帮助。     

基于传声器阵列的声源定位技术的应用

基于传声器阵列的声源定位技术中的两个主要方法,STSF和Beamforming声源定位技术两者的实现方法不同。通过对STSF和Beamforming声源定位技术的推导,给出了两种测量技术适用的频率范围和空间范围,从理论上对其应用范围的差异进行了说明,并提出在实际测量中如何选择合适的声源定位方法。结合两种测量技术的特点,提出声源定位技术下一阶段研究的重点。     

污水生化处理耗氧量计算与应用

根据各类型好氧工艺运行的特点,结合多年设计经验,给出详细计算公式和参数选择范围,说明每个参数含义。     

Fenton氧化对污泥脱水性能和溶解性物质作用效果的研究

研究了Fenton氧化技术在改善污泥脱水性能方面的效果,以污泥比阻和毛细吸水时间来表征污泥的脱水性能,探讨了体系的pH和反应时间对污泥脱水性能的影响以及Fenton氧化对污泥溶解性物质(SCOD+多聚糖+蛋白质)含量的影响研究表明,Fenton氧化能够明显改善污泥的脱水性能。在体系的pH=3时,反应1h后,Fenton氧化处理后污泥的CST从处理前的130.9s减少到19.7s,降幅85%;污泥SRF从处理前的3.58×108 s2/g降低到1.05×107 s2/g,降幅97%。同体系处理污泥SCOD、上清液中多聚糖和蛋白质的含量分别增加了3.7倍、2.6倍和1.5倍。     

城市再生水景观利用水华识别和预警方法探讨

城市再生水景观回用的主要问题是水体富营养化导致水华的暴发。为了抑制藻类的大规模生长,需要提前采取预防措施,以便将有可能爆发水华的藻类及时杀死或除去。目前,人们已经对景观水体中常见藻类的生长规律做了深入的研究,发现水体中藻数量(藻密度)的多少与水体的pH值和DO值的变化有密切而相对稳定的关系。通过在线实时监控pH值和DO值,找到△pH、△DO与藻类生长之间的关系,并结合pH、DO、温度、正磷酸盐和总氮等指标,实现实时识别和预测水华爆发的目的。     

节能型虹吸式滗水器的设计与应用

详细介绍了虹吸式滗水器的构成、特点及工作原理,结合理论和实践经验给出了虹吸式滗水器的设计、计算方法及关键设计参数,提出了常规使用方法,整套设备的设计全面而简单明了。