自动净化-高分辨气相色谱/高分辨质谱测定废气中二(口恶)英

采用自动净化-高分辨气相色谱/高分辨质谱(HRGC/HRMS)测定废气中的17种2,3,7,8位取代的多氯代二噁英和呋喃(PCDD/Fs)。废气样品经索氏提取,DEXTech系统全自动净化,浓缩和定容后,以HRGC/HRMS对废气样品中的PCDD/Fs进行了定性和定量分析。结果表明,17种二噁英和呋喃采样内标平均回收率为93%~99%,提取内标平均回收率为80%~97%;17种二噁英和呋喃自动净化实测结果与手工净化测试结果基本一致。该方法不但满足相关国家标准要求,还极大提高了样品的净化速度,减少人体对有机试剂的暴露。     

焚烧源二噁英连续采样技术与运行评价

将研发的二噁英连续采样装置与G4型常规烟道气等速采样器同步采样,通过示范运行,考察该连续采样装置的长期采样性能。试验表明,2种采样设备同步采集的样品具有一致性,其二噁英指纹、二噁英浓度和毒性当量相符合。1周的示范运行连续采样试验表明,该连续采样装置中的二噁英捕集材料未发生穿透。1个月的连续采样实测表明,连续采样测定中烟道气排放二噁英毒性当量浓度(以I-TEQ计)为35.0 pg/m3(标况下),采样回收率为71.2%。     

染料中二噁英类化合物的分析方法研究进展

综述了染料中二噁英类化合物的研究进展,指出染料基质复杂,化学结构差异较大,其中二噁英的预处理和检测需根据染料的性质选择最佳的方法;染料中二噁英含量较高,对环境和人体健康影响较大,而原料中的氯醌类物质是其主要污染源。     

M12半自动净化法与手工净化法应用于飞灰中二噁英类检测比较

研究比较了M12半自动净化法与手工净化法应用于二噁英检测的效果。结果显示,采用高分辨气相色谱-高分辨质谱法(HRGC-HRMS)检测飞灰样品中的二噁英,手工净化法的回收率要优于M12半自动净化法的回收率,但M12半自动净化法除2种单体外,其余单体回收率均满足对二噁英的分析要求,且2种净化方法所得二噁英的总毒性当量结果相近,证明手工净化法与HRGC-HRMS联用检测飞灰中二噁英的效果较好,但M12半自动净化法也能够满足HRGC-HRMS检测二噁英的净化要求。应用酶联免疫法检测飞灰样品中二噁英的总毒性量,当样品中二噁英浓度较高时,M12半自动净化法和手工净化法净化测得结果与基准值一致性较好;当样品中二噁英浓度较低时,手工净化法检测结果与基准值差别较大,表明酶联免疫法更适合用M12半自动净化法进行净化。     

造纸工业总排水及漂白废水中AOX监测方法的研究

运用TOX测定仪对造纸工业废水及漂白废水中AOX(可吸附有机卤素)测定;水样用硝酸调pH＜2后,以双根活性炭玻璃填充柱连续吸附;将吸附有机物的活性炭在氧气流中燃烧热解、用微库仑法测定其卤化氢.样品前处理比现行活性炭振荡吸附法样品及试剂用量少、快速、重现性好.方法测定浓度下限为3.73μg/L.     

化学需氧量在造纸废水中分布规律及采样点位的优化

目前对造纸废水的监测通常采取随机取样,很少考虑污染物在废水中的分布情况,所以取得的样品很难反映污染物的实际排放情况。为此,通过对某造纸厂排废废水中化学需氧量分布夫妻及采样点位的优化研究。     

造纸废水中悬浮物的测定方法研究

在测定造纸废水悬浮物的过程中,采用絮凝沉淀法破坏废水中的胶体物质,从而提高抽滤速度,缩短测定时间。达到快速测定造纸废水中悬浮物的目的。     

毛细柱气相色谱法测定废水中的三氯乙醛

讨论了用毛细柱气相色谱法测定废水中三氯乙醛的方法。该方法用(2+1)石油醚-乙醚萃取废水中的三氯乙醛,方法的相对标准偏差4.9％,回收率91.2％～101.1％,最低检出限4×10~(-2)ng。     

造纸废水中硫化物的测定

我国造纸行业和一些环保部门,多年来一直采用醋酸锌—过滤—碘量法测定造纸废水中的硫化物。但测定值严重偏高。近年来一些环境监测部门以酸化吹气前处理代替沉淀—过滤前处理大大减小测定误差。但当废水中含有酸性条件下可挥发的还原物质如SO_2、R—SH、R—S—R等仍干扰碘量分析。SO_2浓度高于1毫克/升时将干扰比色分析。     

化学需氧量现有2种标准分析方法若干问题研究

《水质化学需氧量的测定重铬酸盐法》(HJ 828—2017)和《高氯废水化学需氧量的测定氯气校正法》(HJ/T 70—2001)是测定水中COD_(Cr)现有有效的2种标准方法。针对这2种方法存在的问题,通过实验给出操作建议。指出,对高氯废水稀释后采用《HJ 828—2017》方法测定水中COD_(Cr)时,稀释倍数太大或稀释后COD_(Cr)质量浓度20 mg/L,将降低测定结果的准确度;采用《HJ/T 70—2001》方法测定高氯废水中COD_(Cr)时,硫酸亚铁铵浓度应为0.10 mol/L;《HJ 828—2017》方法中高、低质量浓度分界点建议从50 mg/L改为60 mg/L,试验结果可行且对部分行业排放标准适用性更好;鉴于低浓度样品的精密度结果相对偏大,建议按照COD_(Cr)的浓度大小分级设定精密度的质控要求,更加科学合理。     

Assessment of water pollution in different bleaching based paper manufacturing and textile dyeing industries in India

Paper industries using different raw materials such as hard wood, bamboo, baggase, rice-straw and waste papers and bleaching chemicals like chlorine, hypochlorite, chlorine dioxide, hydrogen peroxide, sulphite and oxygen were studied to estimate organic pollution load and Adsorbable Organic Halides (AOX) per ton of production. The hard wood based paper industries generate higher Chemical Oxygen Demand (COD) loads (105–182 kg t⁻¹) and Biochemical Oxygen Demand (BOD) loads (32.0–72 kg t⁻¹) compared to the agro and waste paper based industrial effluents. The bleaching sequences such as C–EP–H–H, C–E–H–H, C–E–Do–D1 and O–Do–EOP–D1 are adopted in the paper industries and the molecular elemental chlorine free bleaching sequence discharges low AOX in the effluent. The range of AOX concentration in the final effluent from the paper industries was 0.08–0.99 kg t⁻¹ of production. Water consumption was in the range of 100–130 m³ t⁻¹ of paper production for wood based industries and 30–50 m³ for the waste paper based industries. Paper machine effluents are partially recycled after treatment and pulp mill black liquor are subject to chemical recovery after evaporation to reduce the water consumption and the total pollution loads. Hypochlorite bleaching units of textile bleaching processes generate more AOX (17.2–18.3 mg l⁻¹) and are consuming more water (45–80 l kg⁻¹) whereas alkali peroxide bleaching hardly generates the AOX in the effluents and water consumption was also comparatively less (40 l kg⁻¹ of yarn/cloth).     

Multivariate cluster analysis as a versatile tool for the quality assessment of short chain chloroparaffin quantification in environmental samples

The compositions of commercially available solutions of short chain chlorinated paraffins (SCCP) and technical mixtures were determined by high resolution gas chromatography (HRGC) electron capture negative ionisation (ECNI) combined with low resolution mass spectrometry (LRMS). Differences and similarities in the relative distribution of congeners and homologues were investigated by cluster analysis. Samples could be separated into two groups/clusters with similar molecular mass, chlorination degree and congener pattern. With the exception of one sample, the use of CH4-ECNI-MS led to an overestimation of the chlorine content. Moreover, the influence of different SCCP mixtures on the quantification was studied. The results showed that small differences in the chlorine content could sometimes cause substantial systematic errors of up to 119% despite similar homologue and congener patterns. Errors of quantification corresponded to the deviations between response factors of sample and standard. As a consequence SCCPs should be quantified with a standard matching the overall response factor of the sample.     

改进后EROD法与仪器分析法应用比对研究

环境二■英类污染物受到广泛关注,目前常用的二■英类物质检测方法有仪器分析法(高分辨率气相色谱-高分辨率质谱法)和生物检测法。生物检测法具有便捷高效、成本低廉等优点,但其测定值普遍高于仪器分析法,关键原因是生物检测法在前处理阶段未能完全消除非二■英类物质的干扰。改进了传统7-乙氧基-3-异吩恶唑酮-脱乙基酶(EROD)生物检测法的前处理方法,并利用改进后的EROD法与仪器分析法对相同环境样品进行检测,对比分析两种方法得到的二■英毒性当量数据。结果显示,改进后的细分前处理手段结合梨形烧瓶-Mix前处理手段能有效提高二■英类物质的回收率(接近100%),并且改进后的EROD法的检测结果与仪器分析法测定的二■英当量结果相当,说明通过改进前处理方法可以将生物检测法的准确度提高到与仪器分析法一致的水平。研究结论可为生物检测法在环境样品二■英类污染物检测中的应用和推广提供有效的数据参考。     

高氯离子废水化学需氧量分析方法的研究

提出一种测定高氯离子废水 COD的新方法。其消解条件与现行国标法基本相同 ,消解过程产生的氯气用Na OH吸收并测定出氯离子的 COD校正值。由表观 COD值减去氯离子的 COD校正值 ,即为水样的真实 COD值。标样的相对误差在 -1.5 %～ 5 %之间 ,RSD%≤ 5 .5 %。高氯废水的 RSD%≤ 8.0 %。     

陕西省城镇污水处理厂进出水中主要离子与重点元素分布特征

污水处理厂出水中主要离子和重点元素的浓度特征及去除效果会影响受纳水体的盐度、碱度等指标,从而影响河湖的生态服务功能,但是这方面的研究长期以来未得到充分关注。在陕西省全境选择51家城镇污水处理厂,测定进水和出水中的钾、钙、钠、镁、氟、氯和硫酸根离子,以及铁、锰、硼、钼、锶等重点元素的浓度。测定结果显示:陕西省城镇污水处理厂进水和出水中的阳离子以钠离子为主,其次是钙、镁离子,钾离子浓度最低;阴离子中,氯离子浓度最大,其次为硫酸根离子。就总离子浓度而言,陕北和关中地区污水处理厂进水的离子浓度普遍高于陕南地区。相关性分析结果显示:在污水处理厂进水中,钠、氟、氯、镁及硫酸根离子相互之间均呈现显著正相关关系;铁、锰在进水中没有表现出明显的相关关系,而在出水中呈现显著的正相关关系。污水处理厂仅能够处理污水中少量的氟、钾和镁离子。铁元素和锰元素在经过污水处理厂的处理后,浓度有所升高。此研究的研究结果可为河湖水化学组成管理决策提供参考。     

Stable isotopes and C/N ratios in marine sediments as a tool for discriminating anthropogenic impact

Sources of anthropogenic pollution were categorised by combining elemental and isotopic techniques (C/N ratios and δ(13)C, δ(15)N) on samples of surficial sediments in the harbour of Naples (Southern Tyrrhenian Sea, Italy). The study area, due to the intense and diversified industrial and commercial activities, is an appropriate natural laboratory to verify reliability and relevance of geochemical methodologies applied to exploration of sources, pathways and fate of contaminants in highly polluted coastal marine systems. Application of cluster analysis to the whole dataset and resolution of a δ(13)C and δ(15)N Moore-Penrose system equation provided information to reliably discriminate and identify anthropogenic point sources in the studied sediments. In particular, effects of oil spilling and wastewater discharge within the area of the harbour of Naples were clearly discriminated thus suggesting high-potential of the two numerical techniques, applied to the C and N elemental and isotopic values, to explore effects of anthropogenic impact in marginal and confined coastal basins. The δ(15)N values showed high sensitivity to discriminate sewage discharges (treated or untreated organic matter), clearly indicating the point of emissions. The δ(13)C shows indirect capability of discriminating crude oil and petroleum products.     

Prediction of the effluent from a domestic wastewater treatment plant of CASP using gray model and neural network

When a domestic wastewater treatment plant (DWWTP) is put into operation, variations of the wastewater quantity and quality must be predicted using mathematical models to assist in operating the wastewater treatment plant such that the treated effluent will be controlled and meet discharge standards. In this study, three types of gray model (GM) including GM (1, N), GM (1, 1), and rolling GM (1, 1) were used to predict the effluent biochemical oxygen demand (BOD), chemical oxygen demand (COD), and suspended solids (SS) from the DWWTP of conventional activated sludge process. The predicted results were compared with those obtained using backpropagation neural network (BPNN). The simulation results indicated that the minimum mean absolute percentage errors of 43.79%, 16.21%, and 30.11% for BOD, COD, and SS could be achieved. The fitness was higher when using BPNN for prediction of BOD (34.77%), but it required a large quantity of data for constructing model. Contrarily, GM only required a small amount of data (at least four data) and the prediction results were analogous to those of BPNN, even lower than that of BPNN when predicting COD (16.21%) and SS (30.11%). According to the prediction, results suggested that GM could predict the domestic effluent variation when its effluent data were insufficient.     

Assessment of odour problem in sewage-treated effluent in a closed loop irrigation system

Uses of wastewater drives significant economic activity, supports countless livelihoods particularly those for developing countries. While using wastewater, the challenge is to identify practical, affordable safeguards that do not threaten the health of users. In Yanbu Al-Sinaiyah, treated sewage effluent (TSE) is used for landscape purposes. In the present study, the odour problem caused by TSE in community area has been addressed. Samples were collected and analysed for total coliform, odour, trihalomethanes (THMs), total organic carbon (TOC) and other physicochemical parameters. Results show that in distribution network, residual chlorine was below the detection limit, turbidity, THMs, TOC and total coliform concentration was much higher than point source, and concentration of these parameters was further increased in problematic areas. It was also observed that areas with odourous problem were at the tail of irrigation network. This indicates that odour problem was due to less residual chlorine high turbidity, high rate of coliform and TOC. In odourous water samples, carbon disulphide and dimethyl sulphide were also identified by GC/MS, while in other areas where there was no odour, both these compounds were not detected. Odour problem was successfully resolved by improving sand filtration system to minimise turbidity the main cause of odour, increasing the residual chlorine at the treatment plant and regularly flushing the distribution network.