废水自动采样器存在偏差原因分析及解决方法

简述了废水自动采样器应用现状。根据废水自动采样器性能指标要求,分析了自动采样器在验收和使用过程中应当重视的几个因素。并通过系列的比对、调查,对机器采样和手工采样可能引起监测结果有所偏差的几个方面进行了探讨,提出了解决这些偏差的一些方法和建议。     

A New All Season Passive Sampling System for Monitoring Ozone in Air

A new all season passive sampling system for monitoring O₃ in the atmosphere has been developed in the laboratory and validated in the field. The unique features for this system include a newly designed passive sampler and a rain shelter, which allow the passive sampler to be installed in the field facing downwards. An equation associated with meteorological parameters is used to calculate the passive sampling rates. This system has been extensively tested in the lab (temperature from –18 to 20°C, relative humidity from 13 to 81%, and wind speed from 0.5 to 150 cm/s) and validated in the field in climates of all seasons. The accuracy of the ozone concentrations in the atmosphere obtained with the use of the new passive sampling system was higher than 85% compared to those obtained with continuous ozone analyzers. The new ozone passive sampling system can be used to measure ambient O₃ concentrations ranging from 3 ppb to 1000 ppb based on one-day exposure and 0.1 ppb to 140 ppb for a monthly exposure period. It is also reasonable to conclude that the new passive sampling system can be used for eight-hour exposure study because of the low field blanks and high sampling rates.     

浅层地下水定深取样器的研制

介绍了新型浅层地下水定深取样器的基本结构和工作原理。应用表明,该取样器可准确采集预定深度的水样,且水样可原位直接进入采样瓶,降低交叉污染,减少样品中易挥发组分的损失。     

乌江流域梯级水库的氮磷分布及其滞留效率研究

河流梯级水坝建设不仅造成营养元素在水库累积,向下游的输送通量降低,而且由于对不同元素的不同拦截效率会影响到元素的计量关系,从而影响水库生态系统和水质变化。为了厘清水库对N、P的拦截效率,本研究于2013~2015年分三次对乌江流域七个大型梯级水库水体总氮(TN)和总磷(TP)浓度进行了采样分析,探讨了不同梯级水库中氮磷营养元素的分布及其滞留效率。结果发现,乌江流域各梯级水库中TN浓度从上游到下游有逐级降低的趋势,每一级水库拦截了2%~13%的氮。乌江流域梯级水库较低的生产力和较高的氧浓度使其对TP的拦截效率更高,但水库较低的TP浓度使得拦截效果容易受到外源P输入的抵消。水库对TN、TP的拦截效率差异导致水库N/P比值发生了明显变化,因而在流域管理控制N、P的方法选择上应充分考虑这一自然过程的影响。     

Copper bioavailability in the rhizosphere of maize (Zea mays L.) grown in two Italian soils

In this study, potentially bioavailable copper was estimated in two soils (a fungicide polluted and a natural soil) using a passive sampling technique, DGT. As plants can alter copper mobility and bioavailability in the soil, the rhizosphere properties of Zea mays L. were investigated using rhizoboxes.

Compared to the total concentration, the soluble and the potentially bioavailable copper concentration in the bulk soils were generally low (less than 0.20% and 0.06% respectively), with a sixfold increase in the rhizosphere of the polluted soil. Our results suggest that maize cultivation in a polluted vineyard soil could increase the potentially available fraction of copper. DGTs showed a good sensitivity to soil properties and to root-induced changes in the rhizosphere, but the potentially bioavailable copper could not be related to the copper concentration in the above ground parts of maize. The results suggest that DGT may be used to predict some effects of the cultivation of polluted soils, for example, metal mobility and increased availability, but they cannot mimic the uptake of a tolerant plant.

For both soils, dissolved organic carbon (DOC) concentrations were threefold higher in the rhizosphere than in the bulk soil, whilst bioaccumulation in leaves and roots was not significant. DOC production, usually effective in ion mobilization and assimilation, may help also in the reduction of Cu uptake at toxic concentrations. The sequestration of available Cu in soil and soil solution by DOC seems to contribute to maize tolerance.     

Using hidden Markov chains and empirical Bayes change-point estimation for transect data

Consider a lattice of locations in one dimension at which data are observed. We model the data as a random hierarchical process. The hidden process is assumed to have a (prior) distribution that is derived from a two-state Markov chain. The states correspond to the mean values (high and low) of the observed data. Conditional on the states, the observations are modelled, for example, as independent Gaussian random variables with identical variances. In this model, there are four free parameters: the Gaussian variance, the high and low mean values, and the transition probability in the Markov chain. A parametric empirical Bayes approach requires estimation of these four parameters from the marginal (unconditional) distribution of the data and we use the EM-algorithm to do this. From the posterior of the hidden process, we use simulated annealing to find the maximum a posteriori (MAP) estimate. Using a Gibbs sampler, we also obtain the maximum marginal posterior probability (MMPP) estimate of the hidden process. We use these methods to determine where change-points occur in spatial transects through grassland vegetation, a problem of considerable interest to plant ecologists.     

POCIS采样技术应用于九龙江流域水环境中雌激素的检测

极性有机物一体化采样器(POCIS)作为富集水体中有机物的新型采样技术,可以反映目标物在被测水体中的时间权重浓度,因此在环境监测中是对主动采样方式的重要补充.本研究采用POCIS进行了4种固醇类雌激素化合物(雌酮、雌二醇、雌三醇及雌炔醇)的富集动力学,以及温度和目标物浓度对POCIS富集雌激素影响的实验室模拟研究.结果表明,POCIS对目标化合物的富集放置时间7 d内呈现显著的线性关系(r2≥0.988 1,P<0.001).温度对目标物在POCIS上富集的影响比较显著(RSD>12%),随着温度的升高,目标化合物在POCIS上的采样速率减小.而目标物浓度对POCIS富集没有显著的影响(RSD<5%).将所建立的POCIS采样装置应用于九龙江流域的现场环境中,发现利用POCIS估算出的目标物时间权重浓度与主动采样测定的浓度具有显著的相关性(r2=0.720 9,P<0.001),验证了POCIS在实际环境中的可应用性.     

多点交替进水阶式A2/O工艺氮磷去除途径

为分析CMICAO(多点交替进水阶式A2/O)工艺处理实际生活污水时对氮、磷的去除机理,基于物料衡算方程,计算各反应池内污染物质量浓度,并与实测值进行对比,分析氮、磷的去除途径,提出强化工艺脱氮除磷的方法.结果表明,试验条件下,出水中ρ(TP)、ρ(TN)和ρ(氨氮)分别为(0.41±0.08)、(10.24±0.40)和(2.07±0.30)mg/L.除微生物同化作用外,系统中的氮主要通过好氧硝化、缺氧/厌氧反硝化及SND(同步硝化反硝化)途径去除,阶段一3#反应池、阶段二2#反应池和阶段三1#反应池的SND率分别达到37%、52%和58%左右.磷通过聚磷菌厌氧/缺氧释磷、好氧吸磷和反硝化除磷途径去除,阶段一4#池的反硝化吸磷量达到3 mg/L左右.降低好氧池ρ(DO)和改变缺氧池与厌氧池的进水量比例可强化脱氮除磷效果.     

深圳市大气中全氟化合物的残留特征

为探究深圳市大气中全氟化合物(perfluorinated compounds,PFCs)的残留特征,基于负载XAD-4的PUF膜被动采样器采集了2014年11月1日至2015年1月31日深圳市12个位点的大气样品,分析了大气中7种挥发性PFCs和15种离子型PFCs的含量及分布特征.结果表明,深圳市大气中ΣPFCs平均浓度为79.0 pg·m-3(23.7~157 pg·m-3),以挥发性PFCs为主.8∶2氟调聚醇(fluorotelomer alcohol,FTOH)、6∶2 FTOH和全氟戊酸(perfluoropentanoic acid,PFPe A)、全氟辛酸(perfluorooctane acid,PFOA)分别是挥发性和离子型PFCs的主要组分.深圳市大气中挥发性和离子型PFCs的空间分布相同,均呈西北高东南低的态势.此外,6∶2 FTOHs、8∶2 FTOHs、PFPe A、PFHx A和PFOA与PM_(2.5)、PM_(10)呈正相关(P0.05,P0.01),而与PM_(10)的相关性更显著.     

猫跳河流域梯级水库夏季N2O的产生与释放机理

为了研究河流筑坝对河流氮生物地球化学循环的影响，在夏季水体分层期间对猫跳河梯级水库坝前分层采集水样进行了相关地球化学分析。结果显示，在上游的两座水库存在2个明显的温度分层现象，并影响到了水体N2O的产生和分布。红枫水库整个剖面的氮分布主要受硝化作用控制，而百花湖、修文及红岩水库则表现为上层水体为硝化作用，中层为硝化反硝化共同作用。所有水库表层水和下泄水高饱和度的N2O含量表明这些水体为大气N2O的源。百花湖底层反硝化作用强烈，中间产物N2O大量消耗。底层泄水的方式对于温室气体释放影响重大，因此不同水库下泄水的N2O含量在时间和空间上的变化与水库运行和调蓄模式有关。研究结果表明，梯级水库过程对N2O的排放影响很大，在水电开发的环境保护中应当引起重视。