城镇污水处理厂TOC与COD相关性分析及应用

通过在线TOC水质自动分析仪方法与实验室COD方法比对,建立TOC-COD一元线性回归方程,且将其应用到上海市44家污水处理厂出水中TOC与COD值的转换,并在污水处理厂进行在线TOC水质自动分析仪及在线COD水质自动分析仪监测值比对实验。结果表明,TOC-COD一元线性回归方程相关系数r为 0.963,废水中TOC与COD值线性显著相关,通过上述回归方程将在线TOC水质自动分析仪监测值转化COD监测值与在线COD水质自动仪监测值进行相对误差比较,88.4％的数据满足《水污染源在线监测系统安装技术规范（试行）》（HJ/T 355－2007）规范要求;用上述转换方程换算上海市44家污水处理厂TOC值得到的COD值与实验室COD值进行误差计算, 87.3%的数据满足上述规范要求,验证了在线TOC值转换COD值在污水行业的适用性。     

一种新型光路设计在重金属分析仪中的应用

针对在线重金属分析仪中电源波动、水体浊度等干扰问题,提出一种新型的光路设计方案。实验表明,采用该设计的在线水质分析仪PhotoTek 6000的抗干扰能力大大提高,电源稳定性达到0.6%;同时当试样中浊度变化4个数量级时,测量结果与实际值的相对偏差小于2%。     

哈希在线分析仪在石化废水COD测定中的应用

介绍了美国哈希公司COD在线分析仪的工作原理、仪器结构与测量步骤,以及在中石化金陵分公司污染源在线监测系统中的应用.分析了仪器常见故障产生的原因与排除方法,提出应注重仪器的日常运行检查,采取相应的质量控制措施,确保自动监测数据的有效性.     

污染源水质COD在线仪器比对监测

比较了几种现场应用较多的水质COD在线监测分析与实验室分析方法在原理、方法等方面的主要差异,针对比对过程中存在的实际问题,提出了在样品采集、仪器原理选择、仪器定期校正等方面做好水质COD在线监测比对实验工作的建议。     

水质化学需氧量(COD)在线自动分析仪的发展现状

对水质化学需氧量 ( COD)在线自动分析仪的方法原理、主要类型、主要技术性能以及主要仪器型号等发展现状进行了评述     

水质高锰酸盐指数在线自动分析仪的发展现状

对水质高锰酸盐指数在线自动分析仪的方法原理、主要类型、主要技术性能以及主要仪器型号等发展现状进行了评述。     

四种氨氮自动监测仪与实验室国标方法测定氨氮的比较分析

深圳市地表水水质自动监测子站安装了HACH AMTAX inter2、科泽K301、WTW Trescon UN和瑞士万通ALERTCOLORIMETER ADI 2004氨氮自动分析仪。以潮汐河流深圳河为例,从仪器测量原理、分析方法、测量过程、分析能力、对海水适应性等方面分析比较四种氨氮自动分析仪与实验室方法之间的异同。     

水质化学需氧量（COD）在线自动分析仪发展现状

对水质化学需氧量（COD）在线自动分析仪的方法原理、主要类型、主要技术性能以及主要仪器型号等发展现状进行了评述。     

水质总氮、总磷在线自动分析仪的发展现状

对水质总氮和总磷在线自动分析仪的方法原理,主要类型,主要技术特点以及主要仪器型号等发展现状进行了评述。     

COD连续在线监测仪的测定方法与标准方法分析结果比对

对废水中COD的连续在线监测,不同原理监测仪器的测定结果与标准分析方法之间存在差异[1-3],而且各种废水成分复杂多样,现场环境温度和湿度的变化,也是影响测定结果的因素.通过比对测量,可以确定连续在线监测数据与标准分析方法测量数据之间的相关性参数,确保数据的可靠溯源.南京市污染源在线自动监测系统采用的COD连续在线监测仪的品种较多,为此,进行了COD连续在线监测仪的仪器测量结果与人工监测结果的比对分析.     

一种便携式荧光测油仪在海上溢油应急监测中的适用性研究

研究了一种便携式荧光测油仪在海上溢油应急监测中的适用性,并与现行仲裁标准方法进行比较分析。研究表明:该便携式荧光测油仪测定海水中油类样品仅需100 mL水样,平均每个样品所需的前处理时间约340 s,方法检出限为0.003 mg/L,测定下限为0.012 mg/L。测定用标准物质配制的不同浓度海水样品,相对标准偏差为0.08%~0.87%,测定标准样品的相对误差为0.49%~4.50%,实际样品加标回收率为90%~107%。对标准物质配制的海水样品进行检测,与现行仲裁标准方法在0.05水平下无显著性差异。在渤海中部海上监测中,连续6 d测定不同标准样品的相对标准偏差为0.26%~0.83%。研究结果表明,该便携式荧光测油仪适用于现场对油类的定量分析和水质评价。     

固定污染源颗粒物在线监测现状——以济南市为例

于2019年对济南市固定污染源颗粒物在线监测设备的品牌、方法原理和手工监测比对情况进行了分析。结果表明,4种激光前向散射法颗粒物在线设备比对结果符合性较好,带加热功能的采样头可以有效降低水滴的干扰;激光后向散射法颗粒物在线设备比对结果符合性较差,零点漂移达到3. 3%,2/3的手工比对数据绝对误差±5 mg/m3。指出,激光后向散射法设备不适用于超低排放企业,激光前向散射法设备因适用高湿度低量程环境,测量精度高,在济南市的适用性更好。     

顺序注射平台-分光光度法测定水中总磷

参照希思迪在线总磷分析仪和荷兰Skalar在线过程分析仪测定水中总磷的方法,对顺序注射平台分析技术进行改进,从而建立了钼酸铵分光光度法测定水中正磷酸盐的快速分析方法,该方法集微功耗、微量试剂消耗于一体。注射平台具有模块化、投入式探头等结构特征,仪器包含3个检测量程,适用于环境监测等领域的实时在线分析。实验选择磷酸蓝的测定吸收波长为880 nm,当总磷质量浓度为0.10~2.00 mg/L时,浓度与吸光度呈线性关系,线性回归方程y=0.970 3x-0.025 3,相关系数为0.999 5,方法的检出限为1.36×10-2mg/L。     

Quantitative detection of nitrate in water and wastewater by surface-enhanced Raman spectroscopy

The presence of inorganic nitrogen species in water can be unsuitable for drinking and detrimental to the environment. In this study, a surface-enhanced Raman spectroscopy (SERS) method coupled with a commercially available gold nanosubstrate (a gold-coated silicon material) was evaluated for the detection of nitrate and nitrite in water and wastewater. Applications of SERS coupled with gold nanosubstrates resulted in an enhancement of Raman signals by a factor of ～10⁴ compared to that from Raman spectroscopy. The new method was able to detect nitrate with linear ranges of 1–10,000 mg NO₃ ^?/L (R ²?=?0.978) and 1–100 mg NO₃ ^?/L (R ²?=?0.919) for water and wastewater samples, respectively. Among the common anions, phosphate appeared to be the major interfering anion affecting nitrate measurement. Nevertheless, the percentage error of nitrate measurement in wastewater by the proposed SERS method was comparable to that by ion chromatography. The nitrate detection limits in water and wastewater samples were about 0.5 mg/L. The SERS method could simultaneously detect sulfate, which may serve as a reference standard in water. These results suggested that the SERS coupled with nanosubstrates is a promising method to determine nitrate concentrations in water and wastewater.     

地面水中氨,硝酸盐,亚硝酸盐,氯化物,正磷酸盐,总硬度和硅酸盐的同时测定

用AQUA800辨别分析仪同时测定地面水中的氨、硝酸盐、亚硝酸盐、氯化物、正磷酸盐、总硬度和硅酸盐,是一种简便、迅速、准确、可靠的测定方法,样品无需预处理,精密度试验其变异系数分别为1．24％、2．18％、2．02％、2．67％、2．35％、3．57％、4．78％,加标回收率分别为103．5％、101．0％、95．0％、99．2％、97．6％、101．5％、98．0％,方法检测限分别为氨0．022mg／L,硝酸盐0．015mp／L,亚硝酸盐0．002tug／L,氯化物0．47mg／L,正磷酸盐0．015mg／L,总硬度17．6mg／L,硅酸盐0．55mg/L,能满足地面水中辨别分析仪同时测定氨、硝酸盐、亚硝酸盐点化物、正磷酸盐、总硬度和硅酸盐分析测定的要求。     

The effect of changes in land use on nitrate concentration in water supply wells in southern Chester County, Pennsylvania

An analysis of private potable water well data was conducted for seven single family residential developments in southern Chester County, Pennsylvania. Background data were available for 165 wells within the communities when the wells were first drilled in the 1980s and early 1990s. Sampling of 75 wells within these same communities was performed in 2006 to determine whether conversion of the land to residential housing along with the use of conventional on-lot septic systems had resulted in elevated concentration of nitrate-nitrogen in the drinking water aquifer. The data indicate that prior land use influenced the occurrence of nitrate-nitrogen in the drinking water aquifer. The median nitrate-nitrogen concentration for the 165 wells in the background dataset was 2.9 mg/L. One hundred-seven of those wells were drilled on land previously used for active agricultural purposes. The median nitrate concentration in these wells was 3.8 mg/L. Of 48 wells drilled on forested land, the median nitrate concentration was 1.1 mg/L, approximately 3.5 times lower than those drilled on active agricultural land. The median nitrate concentration in the 2006 sampling dataset was 3.6 mg/L, an increase of 0.7 mg/L. The data indicate that conversion of the land has not resulted in contamination of the drinking water aquifer with respect to nitrate-nitrogen. Likewise, the data suggest that the conversion has not resulted in significant improvements to overall water quality.     

Probability-based nitrate contamination map of groundwater in Kinmen

Groundwater supplies over 50 % of drinking water in Kinmen. Approximately 16.8 % of groundwater samples in Kinmen exceed the drinking water quality standard (DWQS) of NO₃ ^?-N (10 mg/L). The residents drinking high nitrate-polluted groundwater pose a potential risk to health. To formulate effective water quality management plan and assure a safe drinking water in Kinmen, the detailed spatial distribution of nitrate–N in groundwater is a prerequisite. The aim of this study is to develop an efficient scheme for evaluating spatial distribution of nitrate–N in residential well water using logistic regression (LR) model. A probability-based nitrate–N contamination map in Kinmen is constructed. The LR model predicted the binary occurrence probability of groundwater nitrate–N concentrations exceeding DWQS by simple measurement variables as independent variables, including sampling season, soil type, water table depth, pH, EC, DO, and Eh. The analyzed results reveal that three statistically significant explanatory variables, soil type, pH, and EC, are selected for the forward stepwise LR analysis. The total ratio of correct classification reaches 92.7 %. The highest probability of nitrate–N contamination map presents in the central zone, indicating that groundwater in the central zone should not be used for drinking purposes. Furthermore, a handy EC–pH-probability curve of nitrate–N exceeding the threshold of DWQS was developed. This curve can be used for preliminary screening of nitrate–N contamination in Kinmen groundwater. This study recommended that the local agency should implement the best management practice strategies to control nonpoint nitrogen sources and carry out a systematic monitoring of groundwater quality in residential wells of the high nitrate–N contamination zones.     

黑龙江流域水环境背景值研究进展

黑龙江流域地处世界三大黑土区之一的中国东北平原，土壤腐殖质含量高，这些腐殖质随着地面径流进入水体，成为流域溶解性有机物（DOM）的自然本底（环境背景）。自然本底的存在导致流域水质有机污染综合指标不能真实反映流域的人为污染，流域背景区内高锰酸盐指数、化学需氧量背景值范围分别为3.0~11.7、14.3~40.5 mg/L。流域部分水质考核断面水质受到有机质背景值的影响。由于叠加人为污染，定量分析高锰酸盐指数、化学需氧量背景值范围存在很大难度。重金属元素相对稳定，相对于"六五"时期重金属背景值，目前水体中重金属含量普遍升高。结合水环境管理需求，背景值研究成果应用于水环境管理还需要进一步深入研究和实践。笔者在综述黑龙江流域水环境背景值研究基础上，总结目前存在的问题，提出水环境背景值研究建议，为科学客观评价流域水质提供参考。     

基于顺序注射分析技术的总氮在线分析仪

针对环境监测领域,研制了一种基于顺序注射分析技术的总氮在线分析仪。该分析仪以注射泵为分析过程的液体驱动定量单元,以多通道选向阀为流路切换单元,以发光二极管和硅光电管为检测单元。在该分析平台上,含氮化合物在高温高压条件下经过硫酸钾氧化成硝酸根,硝酸根被还原为亚硝酸根后与N-(1-萘基)乙二胺盐酸盐生成偶氮染料,再由光电检测单元测定吸光度值,经计算得到总氮含量。与现有的总氮在线分析技术相比,该分析仪具有检测单元简单、生产成本低、测量精度高、试剂消耗和废液产生量少等优点,适合于环境监测等领域的长时间在线分析。     

固相萃取- GC/MS法测定水中有机氯农药

建立了固相萃取-气相色谱／质谱联用测定水中痕量六六六、滴滴涕和环氧七氯的方法。采用C18固相萃取柱富集水样,二氯甲烷／丙酮混合溶剂洗脱,加入菲-d10作为内标,利用气相色谱／质谱联用仪选择离子监测模式检测,内标法定量,定性、定量准确,线性响应良好,干扰小,按采样1 L计算,方法检出限为4．26ng／L～19、2ng／L,RSD在0、4％-6、3％之间,平均加标回收率在77．7％～118％之间,实际样品测定结果表明方法能满足环境水体中痕量有机氯农药的监测要求。