衡山PM_（2.5）中痕量金属元素的分析

建立了微波消解-电感耦合等离子体质谱法同时测定PM2.5中12种痕量金属元素的方法。对不同消解体系进行了讨论,确定采用HNO3＋H2O2消解体系。方法检出限在0.01～6.4 ng/m3之间,精密度为0.5%～8.9%,加标回收率在69.2%～92.6%之间。应用该方法测定了衡山PM2.5中痕量金属元素的含量,讨论了痕量元素的浓度分布特征,对各元素进行了相关性分析,并应用富集因子法对来源进行了分析。     

Comparison of the Performance of Statistical Models in Forecasting Monthly Total Dissolved Solids in the Rio Grande1

Abudu, S., J.P. King, Z. Sheng, 2011. Comparison of the Performance of Statistical Models in Forecasting Monthly Total Dissolved Solids in the Rio Grande. Journal of the American Water Resources Association (JAWRA) 48(1): 10‐23. DOI: 10.1111/j.1752‐1688.2011.00587.x Abstract: This paper presents the application of autoregressive integrated moving average (ARIMA), transfer function‐noise (TFN), and artificial neural networks (ANNs) modeling approaches in forecasting monthly total dissolved solids (TDS) of water in the Rio Grande at El Paso, Texas. Predictability analysis was performed between the precipitation, temperature, streamflow rates at the site, releases from upstream reservoirs, and monthly TDS using cross‐correlation statistical tests. The chi‐square test results indicated that the average monthly temperature and precipitation did not show significant predictability on monthly TDS series. The performances of one‐ to three‐month‐ahead model forecasts for the testing period of 1984‐1994 showed that the TFN model that incorporated the streamflow rates at the site and Caballo Reservoir release improved monthly TDS forecasts slightly better than the ARIMA models. Except for one‐month‐ahead forecasts, the ANN models using the streamflow rates at the site as inputs resulted in no significant improvements over the TFN models at two‐month‐ahead and three‐month‐ahead forecasts. For three‐month‐ahead forecasts, the simple ARIMA showed similar performance compared to all other models. The results of this study suggested that simple deseasonalized ARIMA models could be used in one‐ to three‐month‐ahead TDS forecasting at the study site with a simple, explicit model structure and similar model performance as the TFN and ANN models for better water management in the Basin.     

Evaluation of effects of exposure time on aquatic toxicity with zooplanktons using a reduced life expectancy model

Traditionally in toxicological studies time is not studied as quantifiable variable but as a fixed endpoint. The Reduced Life Expectancy (RLE) model which relates exposure time and exposure concentration with lethal toxic effects was tested previously using fish data. In this current paper the effects of exposure time on aquatic toxicity with zooplanktons and various toxicants were evaluated using the RLE model based on ambient exposure concentration. The model was evaluated by plotting ln LT₅₀ against LC₅₀ using toxicity data with zooplanktons from the literature for metal, metalloid and organic compounds. Most of the experimental data sets can be satisfactorily correlated by use of the RLE model, but deviations occurred for some data sets. Those data sets were satisfactorily fitted by a two stage RLE model. This model was based on two phases: one in the peripheral system and other in the central system. Both the single and two stage RLE model support the hypothesis that toxicity is time dependent and decreases in a systematic way with increasing exposure time. A calculated normal life expectancy (NLT) can be obtained from the single stage model and is in accord with reported NLT but those obtained from the two stage RLE model are in excellent agreement.     

超声波促进城市生活污泥缺氧/好氧消化的研究

本研究将超声波预处理引入城市生活污泥缺氧/好氧消化工艺中,自主设计了容积为30 L的生活污泥超声波-缺氧/好氧消化中试系统并用以实验研究。超声波预处理的参数为超声频率28 kHz,声能密度0.15 W/mL,超声时间10 min,超声间隔12 h,污泥超声比例30%。结果表明,引入超声预处理后,缩短了污泥的稳定时间,提高了污泥的消化效率。污泥消化10 d就已经达到了稳定标准,比未引入超声预处理时缩短了12 d,而MLVSS最大去除率提高了11%,达到了55.10%。超声波的引入,对污泥缺氧/好氧消化系统中污泥上清液溶解性COD（SCOD）的变化趋势影响比较明显,而对上清液的pH、氨氮和TP的变化趋势没有明显影响。     

SRT对MBR污泥性质的影响

以浸没式膜-生物反应器(SMBR)处理模拟赖氨酸废水为研究体系,考察SRT在10、20和40 d条件下,SMBR中的胞外聚合物(EPS)组分和含量、污泥沉降性能和污泥相对疏水性等污泥性质的变化及其对膜污染的影响。结果表明,随着SRT的延长,混合液中EPS总量呈递减趋势,TBEPS中蛋白质与多糖的比值呈上升趋势,污泥的沉降性能变差,相对疏水性增强;膜通量下降速率变大,膜污染加重。污泥性质与膜污染的相关性表明,膜污染与蛋白质和多糖的比值、污泥沉降性能和相对疏水性呈正相关关系,而与EPS呈负相关关系。     

纳米生态基对水产养殖污水的处理效果

采用三因子四水平的正交设计,实验研究了纳米生态基在不同温度、溶解氧和水力停留时间下对水产养殖污水的处理效果,确定了纳米生态基处理养殖污水的最佳条件。结果表明,含氨氮和亚硝氮浓度较高的模拟养殖污水用纳米生态基挂膜,所需时间约为22 d。纳米生态基对氨氮的去除效果明显,平均去除率达到93.5%。对氨氮去除率的影响程度,水力停留时间>温度>溶解氧。当温度为30℃,DO为5.43 mg/L,HRT为0.33 h时,纳米生态基对氨氮的处理能力最佳,去除率达到94.6%。纳米生态基对亚硝氮的平均去除率为69.3%。对亚硝氮去除率的影响程度,水力停留时间>溶解氧>温度。当温度为21℃,DO为6.40 mg/L,HRT为0.33 h时,纳米生态基对亚硝氮的处理能力最佳,去除率为71.5%。纳米生态基处理养殖污水的最佳条件:温度为30℃,DO为6.40 mg/L,HRT为0.33 h。     

不同填料载体生物膜对微囊藻毒素的去除效果

利用自行设计的生物膜培养装置,通过对4种不同填料载体进行连续曝气循环培养生物膜,对湖水中的溶解态微囊藻毒素(MCs)的去除作用进行了研究。结果表明,填料载体上生物膜从形成到稳定大约需要3周;生物膜形成后对MCs的去除效率由高到低的顺序是:颗粒活性炭柱>多密孔球型滤料柱>塑料悬浮填料柱>陶瓷滤球柱。在实验水质条件下,当水力停留时间(HRT)=5 h,进水MCs浓度为21.5～47.25μg/L时,颗粒活性炭、多密孔球型滤料柱对MCs的去除率最高可达100%,塑料悬浮填料柱对MC-LR和MC-RR的去除率分别为70%和88%。当HRT=2.5 h时,塑料悬浮填料柱对MC-RR的去除率为MC-LR的2倍。生物膜对MCs的降解效果随温度(5～20℃)和溶解氧的升高而增加。塑料悬浮填料作为合适的生物膜挂膜填料载体对水源水的生物预处理具有良好的应用前景。     

电絮凝处理油田生化出水

为了减轻对后续处理中超滤膜的污染,采用电絮凝法处理油田生化出水,降低油田生化出水中的有机物含量。研究了电流强度、曝气时间和pH值对水中总有机碳（TOC）和浊度除去效果的影响以及pH值随曝气时间的变化趋势,通过红外光谱对絮凝处理前后水中总溶解固体进行了分析,优化了电絮凝的工艺条件。研究表明,当水流速度控制在50 mL/s,电流强度为2 A,500 mL絮凝出水的曝气时间为30 min时,整套絮凝工艺对TOC的去除率为48%,浊度去除率为42.9%,COD去除率为44%。     

稀硫酸预处理对稻草厌氧消化的影响

以稻草为对象,研究了热稀硫酸预处理后对厌氧消化过程中的COD、pH、挥发性脂肪酸(VFA)、产气量及产气速率的影响。结果表明,以1.0%、1.5%和2.0%稀硫酸溶液预处理后,稻草厌氧消化系统总产气量分别提高了34%、125%和66%,甲烷产量分别提高了61.5%、215.1%和113.9%,挥发性固体(VS)去除率分别提高了15.5%、22.4%和17.6%,COD去除率分别提高了47.1%、57.4%和53.9%。浓度1.5%稀硫酸预处理对稻草厌氧消化效果最佳。     

甲苯在两相厌氧系统中降解及其抑制作用

运用两相厌氧工艺处理含甲苯废水,甲苯浓度的提升对两相厌氧系统的高效性和稳定性影响较小。在提升进水中甲苯浓度的初期,即甲苯浓度≤20 mg/L时,产酸相COD去除率及酸化度下降,驯化一段时间后可恢复正常。当浓度高于150 mg/L时,甲苯将对产甲烷相微生物产生抑制作用,系统COD去除率开始下降。但进水甲苯浓度提高至200mg/L,两相厌氧系统对甲苯的去除率仍可达99%以上。在高浓度甲苯影响下,出水中高分子量物质增多,推测高浓度甲苯刺激微生物代谢分泌大分子物质。