PCBs in sediments of the Great Lakes--distribution and trends, homolog and chlorine patterns, and in situ degradation

A region-wide data analysis on polychlorinated biphenyls (PCBs) in the sediment of the Great Lakes reveals a total accumulation of approximately 300 ± 50 tonnes, representing a >30% reduction from the 1980s. Evidence of in situ degradation of sediment PCB was found, with estimated t_1/2 of 11 and 17 years, at two open water locations in Lake Ontario. The relative abundance of heavy homologs as well as para-chlorines decreases with increasing depth, while the opposite is true for medium and light homologs and ortho-chlorines. In Lake Michigan, the vertical pattern features enrichment of heavier congeners and reduction of ortho-chlorines in deeper sediment layers, opposite to the trend in Lake Ontario. PCBs decrease log-linearly with increasing latitude and longitude. Air deposition of PCBs to lake sediment decreases at about 0.077 ng cm⁻² yr⁻¹ per degree latitude (N) for the geographic region extending from the Great Lakes to within the Arctic Circle.     

Impacts of a strong cold front on concentrations of HONO,HCHO, O3, and NO2 in the heavy traffic urban area of Beijing

Much rain and strong winds caused by a cold front occurred in Beijing during the period of Sep. 27 to Oct. 4, 2004 and led to sharp drops in maximum and mean concentrations of HONO, HCHO, O₃, and NO₂, i.e., the maximum concentrations were reduced by 5.9, 21.3, 45.6, and 44.4 ppb, respectively, and the mean concentrations were decreased by 4.0, 5.5, 30.3, and 32.3 ppb, respectively. For daily HO_x production rates HONO photolysis was the largest contributor and over 90% contributions were from photolysis of HONO and HCHO. Large number and area percentages of soot aggregate from PM10, and high correlations between concentrations of PM10 and chemical formation of HONO suggested that heterogeneous reactions of NO₂ on surfaces of soot aggregate could be a key source of HONO in the heavy traffic areas of Beijing during the night and should be considered in air quality simulations for such areas.     

生物制剂对MBR中无纺布膜组件过滤性能的影响

研究了生物制剂对浸渍式膜生物反应器(submerged membrane bioreactor,SMBR)中聚丙烯无纺布(non-wov-en fabric,NWF)膜组件过滤性能的影响。结果表明,能减少膜组件表面附着污泥胞外聚合物(extra-cellular polymeric sub-stances,EPS)的含量及污泥的沉积,减缓膜通量的衰减速率和膜污染,无纺布膜组件的过滤性能得到明显改善,表现出一定的耐污染性。生物制剂能改善污泥的沉降性能,有效防止污泥膨胀;对MBR的COD去除率基本没有影响,但略微增大了处理水的浊度。     

试压堵塞器在降低井控安全风险中的应用

文章结合大港油田井下作业现场特点,通过研究井控装置FZ18-35防喷器在试压过程中存在的"原试压堵塞器不适合350型采油树井口四通"的具体问题,改进研制适合FZ18-35防喷器与350型采油树井口四通配套的ST18-35试压堵塞器来解决井控装置的现场试压问题,确保现场井控装置的完好,有效降低井控风险以及井喷事故污染环境的风险。     

Effect of silver nanoparticles in crop plants Phaseolus radiatus and Sorghum bicolor: media effect on phytotoxicity

Understanding some adverse effects of nanoparticles in edible crop plants is a matter of importance because nanoparticles are often released into soil environments. We investigated the phytotoxicity of silver nanoparticles (AgNPs) on the important crop plants, Phaseolus radiatus and Sorghum bicolor. The silver nanoparticles were selected for this study because of their OECD designation as a priority nanomaterial. The toxicity and bioavailability of AgNPs in the crop plant species P. radiatus and S. bicolor were evaluated in both agar and soil media. The seedling growth of test species was adversely affected by exposure to AgNPs. We found evidence of nanoparticle uptake by plants using electron microscopic studies. In the agar tests, P. radiatus and S. bicolor showed a concentration dependent-growth inhibition effect. Measurements of the growth rate of P. radiatus were not affected in the soil studies by impediment within the concentrations tested herein. Bioavailability of nanoparticles was reduced in the soil, and the dissolved silver ion effect also differed in the soil as compared to the agar. The properties of nanoparticles have been shown to change in soil, so this phenomenon has been attributed to the reduced toxicity of AgNPs to plants in soil medium. The application of nanoparticles in soil is a matter of great importance to elucidate the terrestrial toxicity of nanoparticles.     

陈垃圾反应床＋芦苇人工湿地处理垃圾渗滤液

研究了陈垃圾反应床与芦苇人工湿地串联对垃圾渗滤液中污染物的去除效果, 并探讨了湿地中芦苇生长和对渗滤液中总氮的吸收能力。结果表明： 在进水负荷为0.1 m³/（m²·d）的条件下,经过3个月的运行,陈垃圾反应床与芦苇人工湿地对陈年渗滤液中COD、氨氮、总氮及总磷的最大去除率分别达到90.3%、95.0%、79.3%和99.8%。通过对人工湿地中芦苇的分析表明,芦苇在6—8月份生长迅速,地上部分生物量与其氮含量增加较快,最大值均出现在8月底,植株总含氮量可以达到28.5 g/m²。此时收割芦苇可从湿地中最大限度除氮。如能增加芦苇种植密度,陈垃圾床与芦苇湿地串联处理渗滤液污染物以及深度去氮是可行的。     

Effects of reed straw, zeolite, and superphosphate amendments on ammonia and greenhouse gas emissions from stored duck manure

Stored poultry manure can be a significant source of ammonia (NH) and greenhouse gases (GHGs), including nitrous oxide (NO), methane (CH), and carbon dioxide (CO) emissions. Amendments can be used to modify physiochemical properties of manure, thus having the potential to reduce gas emissions. Here, we lab-tested the single and combined effects of addition of reed straw, zeolite, and superphosphate on gas emissions from stored duck manure. We showed that, over a period of 46 d, cumulative NH emissions were reduced by 61 to 70% with superphosphate additions, whereas cumulative NO emissions were increased by up to 23% compared with the control treatment. Reed straw addition reduced cumulative NH, NO, and CH emissions relative to the control by 12, 27, and 47%, respectively, and zeolite addition reduced cumulative NH and NO emissions by 36 and 20%, respectively. Total GHG emissions (as CO-equivalents) were reduced by up to 27% with the additions of reed straw and/or zeolite. Our results indicate that reed straw or zeolite can be recommended as amendments to reduce GHG emissions from duck manure; however, superphosphate is more effective in reducing NH emissions.     

夏季局地环流对京津冀区域大气污染影响

为研究局地环流对京津冀大气污染分布特征的影响,利用京津冀区域大气污染监测网7个站点的大气污染物浓度观测资料,结合WRF数值模式对气象场的模拟结果,对区域夏季局地环流对大气污染浓度水平和空间分布特征进行了研究。结果表明,2010年6月局地环流发生时,京津冀大气中PM10的平均浓度可高达156.4μg/m3,而在强天气系统过境时仅为89.1μg/m3。京津冀受区域局地环流控制时,大气中可吸入颗粒物比强天气系统过境时高75%;海-陆风回流携带的高浓度污染物,导致海滨区域夜间大气中PM10平均浓度从46.2μg/m3上升到64.7μg/m3;山地-平原风导致京津冀大气本底区域河北兴隆臭氧浓度峰值较北京城区滞后3 h。京津冀近年来强天气过程比例逐渐下降,目前仅占月20%,而以山地-平原风和海-陆风叠加的局地环流气象条件占比增加,造成京津冀区域大气污染易聚难散。     

基于BP和RBF神经网络的外加碳源量模型研究

碳源作为反硝化过程的电子供体,是影响生物脱氮过程的重要因素,低碳氮比污水需外加碳源以保证反硝化反应的顺利进行。为了优化控制碳源投加量,对实验室搭建的CAST工艺污水处理装置的进水条件和外加碳源量的非线性关系分别进行了基于BP和RBF神经网络的模型研究,并对外加碳源量进行了预测。结果表明,两种网络模型均能有效预测外加碳源量,RBF神经网络模型在训练速度和逼近能力方面优于BP神经网络模型,但在预测性能方面BP神经网络模型则有更高的预测精度。