废啤酒酵母吸附去除水溶液中活性红4

用废啤酒酵母作生物吸附剂吸附水溶液中活性红4(RR4),并对吸附性能进行了评价。通过电位滴定和FTIR分析表明废啤酒酵母上主要存在磺酸基、羧基及氨基等官能团。对溶液pH值、RR4浓度和吸附时间等因素对吸附的影响进行了研究,结果表明:废啤酒酵母对RR4的吸附速率快,320min即可达到吸附平衡;酸性条件利于吸附,碱性条件下则会发生解吸附,pH=11条件下解吸附率高于86%;等温吸附数据符合Langmuir模式,pH=2条件下废啤酒酵母对RR4的最大吸附量为103.36mg/g。     

贵州省红枫湖饮用水源地微囊藻毒素含量与水体中氮、磷含量等的相关性

2008年6~9月对贵州省红枫湖饮用水源地A、B、C采样点及取水口采样,研究了水体中微囊藻毒素即总藻毒素(total microcystin RR和total microcystin LR,TMC-RR、TMC-LR),胞外藻毒素(extracellular microcystin RR和extracellular microcystin LR,EMC-RR、EMC-LR)和胞内藻毒素(intracellular microcystin RR和intracellular microcystin LR,IMC-RR、IMC-LR)含量及相关的TN、TP、NH4-N、NO2-N、COD、Ch1a、pH等理化指标的变化情况,讨论了理化指标与藻毒素含量之间的相互关系。结果表明藻毒素在时间及空间上分布不均,无明显规律性。藻类高发期间藻毒素以胞内毒素为主要存在形式,去除藻毒素保障饮用水安全最重要的是去除饮用水源水中的藻类。相关性分析表明藻毒素含量与pH、NO2-N、Ch1a具有统计学意义上的相关性,综合回归分析的结果,pH是影响藻毒素的重要因子,因此贵州省喀斯特弱碱性特殊水环境与藻毒素产生的环境条件值得各方面高度关注。     

载2,4-DCP粉末活性炭微波再生的影响因素

2,4-DCP(2,4-二氯苯酚)是一种具有代表性的氯酚类化合物,在我国和欧美等国的饮用水水质标准中,氯酚类化合物都被列为优先控制污染物。实验以2,4-DCP溶液作为给水中难降解有机物的模拟水样,使用粉末活性炭(PAC)对其吸附至饱和后进行微波辐照再生,探讨了影响活性炭再生效果的诸多因素。以N2为载气的正交实验结果表明:在微波功率为800 W,再生时间为3 min,载气流量为0.6 L/min的控制条件下可得到最佳的再生效果;另选CO2为载气对活性炭再生进行比照实验,结果表明CO2载气的再生效果略优于N2,具有活化作用。     

Selective removal of 2,4-dichlorophenoxyacetic acid from water by molecularly-imprinted amino-functionalized silica gel sorbent

A molecularly-imprinted amino-functionalized sorbent for selective removal of 2,4-dichlorophenoxyacetic acid(2,4-D) was prepared by a surface imprinting technique in combination with a sol-gel process.The 2,4-D-imprinted amino-functionalized silica sorbent was characterized by FT-IR,nitrogen adsorption and static adsorption experiments.The selectivity of the sorbent was investigated by a batch competitive binding experiment using an aqueous 2,4-D and 2,4-dichlorophenol(2,4-DCP) mixture or using an aqueous 2...     

洱海流域农田土壤氮素的矿化及其影响因素

采用好氧间歇淋洗培养法,对洱海流域内的农田、菜地土壤样品培养2周,研究土壤氮的矿化及其影响因素.结果表明,表层土壤2周氮矿化量平均为65.54mg/kg.不同农田利用方式下,表层土壤氮矿化量的平均值为露地菜田粮田大蒜田.土壤氮素矿化以硝态氮为主,且随着土壤深度的增加而降低.土壤氮矿化同全氮、有机质含量呈明显的正相关关系,与pH值呈负相关;氮矿化与无机氮含量、C/N之间无显著关系.全氮、有机质和pH值是影响该流域农田土壤矿化的主要因子.     

四川盆地紫色丘陵区不同种植模式下氮流失特征

氮素流失是农业面源污染的重要来源.为了解四川盆地紫色丘陵区不同种植模式下氮的流失特征,以四川盆地紫色丘陵区4种典型耕作模式紫云英-水稻(M1)、空地-大豆-空地(M2)、空地-生姜(M3)、空地-玉米+红薯(M4)等为研究对象,研究了4种模式从2008年12月到2009年8月共8次有效降雨中氮通过地表径流和渗透水的流失特征.研究期间,4种模式下氮流失量随着降雨量的增加而增加,总氮流失量表现为:M3((30.388±2.86)kg·hm-2)M4((17.118±1.677)kg·hm-2)M2((10.987±1.108)kg·hm-2)M1((6.090±1.051)kg·hm-2).相对于其它模式,M4模式下地表径流量和渗透水量在研究期间均最大,但M3模式下氮通过地表径流和渗透水的流失量最大.另外,非生长季节4个模式下氮流失量相对较低且各模式间差别较小,生长季节4个模式间可溶性氮和总氮通过地表径流和渗透水流失量均表现为M3M4M2M1.4种种植模式下氮通过地表径流和渗透水的流失形态均以硝态氮为主.渗透水中铵态氮和可溶性总氮占总氮的比例高于地表径流.这些结果为该区区域合理选择耕作模式、优化耕作方式、加强管理以控制区域农业面源污染提供了一定的基础数据.     

Catalytic performance of Fe3O4-CoO/Al2O3 catalyst in ozonation of 2-(2,4-dichlorophenoxy)propionic acid, nitrobenzene and oxalic acid in water

Fe3O4-CoO/Al2O3 catalyst was prepared by incipient wetness impregnation using Fe(NO3) 3·9H2O and Co(NO3) 2·6H2O as the precursors,and its catalytic performance was investigated in ozonation of 2-(2,4-dichlorophenoxy) propionic acid(2,4-DP) ,nitrobenzene and oxalic acid.The experimental results indicated that Fe3O4-CoO/Al2O3 catalyst enabled an interesting improvement of ozonation eciency during the degradation of each organic pollutant,and the Fe3O4-CoO/Al2O3 catalytic ozonation system followed a radical-type mechanism.The kinetics of ozonation alone and Fe3O4-CoO/Al2O3 catalytic ozonation of three organic pollutants in aqueous solution were discussed under the mere consideration of direct ozone reaction and OH radical reaction to well investigate its performance.In the catalytic ozonation of 2,4-DP,the apparent reaction rate constants(k) were determined to be 1.456×10-2 min-1 for ozonation alone and 4.740×10-2 min-1 for O3/Fe3O4-CoO/Al2O3.And O3/Fe3O4-CoO/Al2O3 had a larger Rct(6.614×10-9) calculated by the relative method than O3 did(1.800×10-9) ,showing O3/Fe3O4-CoO/Al2O3 generated more hydroxyl radical.Similar results were also obtained in the catalytic ozonation of nitrobenzene and oxalic acid.The above results demonstrated that the catalytic performance of Fe3O4-CoO/Al2O3 in ozonation of studied organic substance was universal to a certain degree.     

Cover crop effects on nitrous oxide emission from a manure-treated Mollisol

Agriculture contributes 40–60% of the total annual N₂O emissions to the atmosphere. Development of management practices to reduce these emissions would have a significant impact on greenhouse gas levels. Non-leguminous cover crops are efficient scavengers of residual soil NO₃, thereby reducing leaching losses. However, the effect of a grass cover crop on N₂O emissions from soil receiving liquid swine manure has not been evaluated. This study investigated: (i) the temporal patterns of N₂O emissions following addition of swine manure slurry in a laboratory setting under fluctuating soil moisture regimes; (ii) assessed the potential of a rye (Secale cereale L.) cover crop to decrease N₂O emissions under these conditions; and (iii) quantified field N₂O emissions in response to either spring applied urea ammonium nitrate (UAN) or different rates of fall-applied liquid swine manure, in the presence or absence of a rye/oat winter cover crop. Laboratory experiments investigating cover crop effects N₂O emissions were performed in a controlled environment chamber programmed for a 14 h light period, 18 °C day temperature, and 15 °C night temperature. Treatments with or without a living rye cover crop were treated with either: (i) no manure; (ii) a phosphorus-based manure application rate (low manure): or (iii) a nitrogen-based manure application rate (high manure). We observed a significant reduction in N₂O emissions in the presence of the rye cover crop. Field experiments were performed on a fine-loamy soil in Central Iowa from October 12, 2005 to October 2, 2006. We observed no significant effect of the cover crop on cumulative N₂O emissions in the field. The primary factor influencing N₂O emission was N application rate, regardless of form or timing. The response of N₂O emission to N additions was non-linear, with progressively more N₂O emitted with increasing N application. These results indicate that while cover crops have the potential to reduce N₂O emissions, N application rate may be the overriding factor.     

基于不同土壤数据单元法的DNDC模型对太湖地区水稻土CH4排放模拟研究

利用农业土壤痕量气体排放模型DNDC(DeNitrification-DeComposition),以整个太湖地区37个县234万hm2水稻土为例,分析了3种不同土壤数据单元法对CH4排放模拟的影响.其中,1∶5万图斑单元法土壤属性来自1∶5万土壤数据库,图斑为最小模拟单元;1∶5万"县级"单元法土壤属性也取自1∶5万土壤数据库,"县"为最小模拟单元;1∶1 400万"县级"单元法土壤属性取自国内同类研究使用最多的1∶1 400万土壤图和《中国土种志》,"县"为最小模拟单元.结果表明,虽然1∶5万图斑单元法大多数县的CH4排放量都在1∶5万"县级"单元法最大与最小值范围之间,但整个地区总排放量(以C计,下同)相差达到1 680 Gg;而1∶1 400万"县级"单元法CH4排放量与1∶5万图斑单元法相比,尽管整个地区总排放量只相差180 Gg,但各"县级"单元之间的估算差异却很大,这一方面说明了土壤数据的详细程度是保证地球生物化学模型模拟精度的重要因子,另一方面也说明在区域CH4排放量估算模拟中使用更详细的土壤资料是非常必要的.     

黄海鳀鱼中痕量金属浓度与体长的关系

测定了在黄海采集的各种体长的鳀鱼(Engraulis japonicus)中6种痕量金属(Zn、Cu、Fe、Al、Mn和Sr)和3种主要元素(C、N和P)的浓度.除Zn浓度在4～5倍内变动外,其余5种痕量金属浓度的变动范围均接近或超过一个数量级;并且,这6种金属均显示出了浓度随体长增长而下降的趋势.对于3种主要元素,N和P的含量也与体长存在负相关关系,而C却显示出了强烈的正相关关系.聚类分析表明,Zn和Cu在鳀鱼内的浓度变化较为接近,可能验证了这两种金属与生物体内新陈代谢活动较为密切的性质;而其余4种金属的浓度变化规律更为接近,可能反映了陆源输入的影响.