藻密度手工监测实验室间比对研究

为研究不同实验室藻密度监测数据的可靠性,现场采集了藻密度样品,处理为现场平行样和实验室前处理后平行样2种,分别由5家实验室的6名技术人员开展检测分析。参考相关技术规范要求,结合其他领域相似工作的成功应用案例,采用Z比分数法对分析结果开展藻密度实验室间比对。结果表明,数据的相对偏差均符合技术规范要求;对藻密度进行数据直接比对和对数转换后比对,各实验室对现场平行样和实验室前处理后平行样的检测结果均为合格;分析方法原理导致藻密度手工监测的绝对数值偏差较大,对当前的太湖水华预警工作适用性不高。     

基于稳健统计方法对实验室比对中土壤汞的质量控制指标研究

利用稳健四分位间距法和迭代法2种稳健统计方法,通过对全国31个省、自治区、直辖市范围内共334家环境监测单位开展土壤中汞的实验室间比对,对比对测定结果和质控数据进行统计分析,系统性地研究了土壤中汞的质量控制指标。建议实际监测工作中土壤汞的实验室间相对标准偏差范围为7%～19%,相对误差控制指标为±8%,低浓度水平下可适当放宽至±10%,加标回收率控制范围为81%～109%,为日常监测开展土壤汞的质量控制工作提供了评价依据,具有广泛的应用价值和较好的指导作用。     

ICP-MS法测定水稻田表层土壤中重金属元素Zn、Cd、Pb、Cu、Cr、Mn的研究

报道了用ICP-MS法直接测定水稻田表层土壤中的重金属元素Zn、Cd、Pb、Cu、Cr、Mn含量的方法.土壤样品经HNO3-HF-HClO4彻底消化后,加入内标元素45Sc、115In、204Tl,采用内标法进行测定,有效地克服了基体效应、接口效应及仪器波动所产生的影响;通过优化仪器的工作参数,选择待测元素适当地测定同位素,有效克服了因质谱干扰所带来的影响.对污染土壤标准物质(编号GBW08305)进行测定,测定结果与标准值相吻合.该方法的加标回收率是98.0%～102.0%,相对标准偏差是2.2%～3.5%,具有线性范围宽、简单、快速、准确等特点.     

土壤中重金属元素的测试方法研究

采用DEENA土壤全自动消解系统对土壤进行前处理,用ICP-AES法对其中的重金属元素进行连续测定,回收率达到94%~103%,线性相关系数均不小于0.999 9,相对标准偏差在1.82%~4.08%之间。该方法灵敏度、精密度、准确度均能满足有关标准要求,具有多元素同时分析,样品前处理简单,干扰少、测定快速、准确等优点,可以提高工作效率,值得推广。     

应用稳健马氏距离评价实验室间比对能力考核

基于稳健马氏距离的多元统计算法,综合评价了全国环境监测系统96个实验室4种有机氯农药监测能力考核的结果,从中筛选出25个考核结果存在异常的实验室。将多元统计结果与稳健Z比分数结果进行比较,发现基于稳健马氏距离筛选出的异常实验室其稳健Z比分数结果也存在一定的问题。同时简单介绍了稳健马氏距离及其相关的异常值筛选的算法原理,并详细介绍了其基于R语言的实现过程。     

土壤重金属分析方法间检测结果一致性判断方法——数据对t值检验法的改进与完善

不同分析方法测定结果间的比较,或者说如何判断两种分析方法测定结果的一致性,是检测实验室经常遇到的实际问题。其应用场景包括方法标准验证实验、新方法与经典方法间的比对,特别是在缺少标准样品、测试数据不满足t值检验的条件下,选用合适的判据尤其重要。以采用单波长激发型能量色散X射线荧光光谱法、电感耦合等离子体质谱法、波长色散X射线荧光光谱法测定土壤和水系沉积物样品中Cd、As、Pb、Cu、Zn、Ni、Cr、Co、V、Mn、Mo、Sb等重金属含量所得数据为例,探讨了《环境监测分析方法标准制订技术导则》(HJ 168—2020)附录B中规定的\"数据对t值检验法\"的不足及改进办法,即用数据对相对偏差和再现性限合格率作为判据,判断分析方法测定结果的一致性。对一组验证样品分别用两种分析方法进行了测定,在数据对t值检验的基础上,取各元素测定结果的相对偏差与相关限值进行比较,或者取两者的差值与基准分析方法标准规定的再现性限进行比较,利用合格率大小协助判断了两分析方法测定结果的一致性。研究结果表明,此方法符合日常质控技术规范中关于精密度的规定,实用性强,是一条将数理统计原理与专业知识相结合的合理技术路线。     

活性炭吸附-二硫化碳解吸-气相色谱法测定气态苯系物的实验室间比对分析研究

主要报告了全国24个环境监测实验室利用气态苯系物标准样品开展实验室间测量比对研究的结果,并提出了一套结果比较的统计评价方法.     

XRF法检测土壤重金属的影响因素

对X射线荧光(XRF)法检测土壤重金属的影响因素进行探讨,研究证实土壤样品厚度、粒径和含水率均会对荧光强度产生影响,且影响程度与X射线的能量有关,对低能量X射线的影响显著大于对高能量X射线的影响。为保障分析的质量,在应用XRF法进行土壤重金属检测时,土壤样品应完全干燥,混合均匀,保持土壤粒径均匀一致,土壤样品厚度统一为10 mm。     

2种统计方法在一次实验室间比对中的应用比较

比较了稳健统计法和误差系数法在水中苯系物实验室间比对结果中的应用,分别采用两种方法对比对结果进行了分析,探讨了两种统计方法的差异和适用范围。结果显示,两种方法对此次比对结果的分析结论基本一致,在实际应用中应跟据实验室间比对的目的和样品特点选择合适的统计方法。     

Soil Contamination Due to Heavy Metals from an Industrial Area of Surat, Gujarat, Western India

The pollution of soil is a source of danger to the health of people, even to those living in cities. The anthropogenic pollution caused by heavy industries enters plants then goes through the food chain and ultimately endangers human health. In the context, the knowledge of the regional variability, the background values and anthropogenic vs. natural origin of potentially harmful elements in soils is of critical importance to assess human impact. The present study was undertaken on soil contamination in Surat, Gujarat (India). The aims of the study were: i) to determine extent and distribution of heavy metals (Ba, Cu, Cr, Co, Ni, Sr, V and Zn) ii) to find out the large scale variability, iii) to delineate the source as geogenic or anthropogenic based on the distribution maps and correlation of metals in soils. Soil samples were collected from the industrial area of Surat from top 10 cm layer of the soil. These samples were analysed for heavy metals by using Philips PW 2440 X-ray fluorescence spectrometer. The data reveal that soils in the area are significantly contaminated, showing higher levels of toxic elements than normal distribution. The heavy metal loads of the soils in the study area are 471.7 mg/kg for Ba, 137.5 mg/kg for Cu, 305.2 mg/kg for Cr, 51.3 mg/kg for Co, 79.0 mg/kg for Ni, 317.9 mg/kg for Sr, 380.6 mg/kg for V and 139.0 mg/kg for Zn. The higher concentrations of these toxic metals in soils need to be monitored regularly for heavy metal enrichment.     

闽东某钼矿周边农田土壤钼和重金属的污染状况

调查了闽东某钼矿周边农田土壤和稻米钼及重金属的污染状况,对土壤钼的人体健康风险进行了评价,探讨了土壤钼的安全阈值。结果表明,部分土壤遭受了铜和镉的污染,以轻度污染为主;部分稻米出现镍和镉的污染,以轻度污染为主;土壤全钼含量为3.30~325.6 mg/kg,最高值高出福建省土壤中钼的环境背景值87倍,说明该区土壤已遭受严重的钼污染。稻米钼含量为0.58~12.04 mg/kg,对人体具有很高的健康风险;根据稻米钼含量与土壤钼含量之间的关系和人体健康风险评价结果,推算出土壤中钼(全钼)的安全阈值不高于4.51 mg/kg。     

杨家幛子钼矿区土壤中重金属污染状况的评价

对杨家幛子钼矿区土壤重金属污染的情况进行了详细研究。选择土壤样本80个,采用HNO3-HF-HClO4混酸对土壤样品进行处理,运用等离子体发射光谱仪(ICP-AES)测定土壤样品中Pb、As、Hg、Cr、Cd、Zn、Cu、Ni、Mo的含量,全面系统地评价土壤重金属污染现状。结果表明,该矿区土壤重金属As、Cd和Hg污染较为严重,平均含量分别达154.13、74.92和3.06mg/kg。不同片区间存在明显差异,污染强度以矿山山沿污染最高,其次是运输区、选矿厂及矿区附近山地,内梅罗综合指数分别为59.98、59.33、52.14、42.44。     

天津近郊农田土壤重金属污染特征及潜在生态风险评价

以天津近郊西青区主要农产品生产基地农田表层土壤(0～20cm)作为调查对象,分析了土壤中重金属As、Hg、Zn、Pb、Cu、Cr和Cd的含量,通过数据统计分析,各项重金属平均含量均低于《土壤环境质量标准》(GB 15618—1995)二级标准,但高于天津土壤背景值和全国土壤背景值,Cd、Cu、Hg在个别点位出现超标现象。多数点位土壤内梅罗综合污染指数处于清洁水平。潜在生态风险评价表明,各点位土壤重金属潜在生态风险指数(RI)为12.96～104.49,均处于轻微生态风险水平。     

Magnetic susceptibility measurements as proxy method to monitor soil pollution: development of experimental protocols for field surveys

In the framework of the development of new methods for measuring and monitoring soil pollution, this paper deals with the use of magnetic methodologies to monitor the heavy metals presence in soils. In particular it shows a procedure for collecting magnetic susceptibility measurements in order to interpret them as proxy variable for monitoring heavy metals in soils. Magnetic measurements are carried out using a magnetic susceptibility meter with two different probes for in situ field surveys. The experimental procedure is divided in two parts. In the first part we carry out laboratory tests aimed to evaluate, for both the probes, the effective investigation depth for soil, the measurement reproducibility under different conditions, and the influence of water content. We complete this part comparing in situ measurements obtained by means of two probes with different characteristics. In the second part we carry out tests to evaluate the relationships between heavy metal levels and magnetic susceptibility values of soil samples. We investigate the variability of the magnetic susceptibility measurements contaminating different soil samples with well known concentration of heavy metals. Moreover we study the correlation between magnetic susceptibility values and metal concentrations, determined by means of AAS, in soil samples collected during a field survey. Results suggest that a careful check of the experimental procedure play a crucial role for using magnetic susceptibility measurements for heavy metals in situ monitoring. This is very helpful both for improving the quality of data and for making simpler data interpretation.     

不同地质条件下土壤重金属质量评价比较

对黎塘研究区不同地质条件下土壤重金属含量进行了分析和评价。结果表明,不同地层土壤以Mn含量最高,其次为Cr,石炭系下统岩关阶和泥盆系中统东岗岭阶土壤重金属含量较高,而白垩系下统小店组和第四系全新统土壤重金属含量较低。泥盆系中统东岗岭阶土壤重金属污染因子为Ni、As、Cr,综合质量级别为中等;石炭系下统岩关阶土壤重金属污染因子为Ni、As、Cr、Cu,综合质量级别为很坏;白垩系下统土壤污染因子为Cr,综合质量级别为警戒级;第四系全新统土壤重金属质量级别均为好,综合质量级别为好。     

镇江市典型产业园区青菜中重金属特征分析

于2017年1月采集镇江市典型产业园区7个不同点位的青菜及青菜田土壤样品进行重金属含量分析,结果表明,园区青菜中Cr、Cu、Zn元素均值小于食品卫生标准限值,Ni、Cd和Pb元素的均值介于食品卫生标准限值的临界;青菜中Ni、Cd、Pb 3种重金属处于轻度污染状态,Cr、Cu和Zn 3种重金属为无污染状态;青菜田土壤中重金属含量仅Cr和Cd在个别点超过《土壤环境质量农用地土壤污染风险管控标准》(GB 15618—2018)标准限值,其余各点位6种重金属元素均低于标准限值。     

土壤重金属监测过程及其质量控制

重点探讨了土壤中典型重金属含量监测过程中样品制备、含水率、预处理等因素对分析结果的影响。实验结果表明,充分风干土壤的含水率在2%～3%左右,200目土壤颗粒度可满足分析精度的要求。硝酸-氢氟酸-高氯酸的多元混酸消解体系可实现对土壤重金属的充分溶解,对标准土壤样品中各元素的回收率可达84%～98%。批次内平行样品以及批次间质控样品各元素的相对标准偏差大都小于10%,符合《土壤环境监测技术规范》的要求,表明该研究建立的系统土壤重金属检测方法结果准确可靠。     

Concentrations of heavy metals in urban soils of Talcahuano (Chile): a preliminary study

Concentrations of Cd, Cr, Ni, Pb, and Zn in the top-(0–10 cm) and sub-surface (10–20 cm) soils of the Talcahuano urban area were measured. The main soil properties (organic matter, CaCO₃, pH, particle sizes) were determined for a network of representative sampling sites. The mean Cr, Ni, Pb, and Zn contents in the urban topsoil samples from Talcahuano (37.8, 22.6, 35.2, 333 mg kg⁻¹, respectively) were compared with mean concentrations for other cities around the world. The results revealed higher concentrations of heavy metals in topsoil samples than in sub-surface samples. The samples from IS1, IS2, and IS3, located in the Talcahuano industrial park, had higher Cr, Ni, Pb, and Zn contents than did samples from the other sites. This was probably due to local pollution by industrial (metallurgical) dust, although other diffuse pollution throughout the entire port region (shipyards, metallurgy, the dismantling of old ships), and contributions from the wind from adjacent industrial, storage, and vessel areas clearly played a role. Heavy metals were lowest in the sample taken on school grounds (SG).     

Magnetic mapping of fly-ash pollution and heavy metals from soil samples around a point source in a dry tropical environment

The Singrauli region in the southeastern part of Uttar Pradesh, India is one of the most polluted industrial sites of Asia. It encompasses 11 open cast coalmines and six thermal power stations that generate about 7,500 MW (about 10% of India’s installed generation capacity) electricity. Thermal power plants represent the main source of pollution in this region, emitting six million tonnes of fly-ash per annum. Fly-ash is deposited on soils over a large area surrounding thermal power plants. Fly-ashes have high surface concentrations of several toxic elements (heavy metals) and high atmospheric mobility. Fly ash is produced through high-temperature combustion of fossil fuel rich in ferromagnetic minerals. These contaminants can be identified using rock-magnetic methods. Magnetic susceptibility is directly linked to the concentration of ferromagnetic minerals, primarily high values of magnetite. In this study, magnetic susceptibility of top soil samples collected from surrounding areas of a bituminous-coal-fired power plant were measured to identify areas of high emission levels and to chart the spatial distribution of airborne solid particles. Sites close to the power plant have shown higher values of susceptibility that decreases with increasing distance from the source. A significant correlation between magnetic susceptibility and heavy metal content in soils is found. A comparison of the spatial distribution of magnetic susceptibility with heavy-metal concentrations in soil samples suggests that magnetic measurements can be used as a rapid and inexpensive method for proxy mapping of air borne pollution due to industrial activity.