乌鲁木齐市饮用水源地中邻苯二甲酸酯健康风险评价

采用美国环保署(US EPA)推荐的健康风险评价模型,对乌鲁木齐市饮用水源地中的邻苯二甲酸酯(PAEs)通过饮水途径致人体健康危害风险进行初步评价。结果显示,乌鲁木齐市地表饮用水源地的2种PAEs[邻苯二甲酸(2-乙基己基)酯(DEHP)和邻苯二四酸二丁酯(DBP)]浓度全部达到《地表水环境质量标准》(GB 3838—2002)特定项目标准限值要求,DEHP总检出率达58.3%~100.0%,DBP总检出率达100%,DEHP通过饮水途径引起的致癌和非致癌总风险数量级达10^(-10)~10^(-8),DBP通过饮水途径引起的非致癌风险数量级达10^(-13)~10^(-11)。乌鲁木齐市地下饮用水源地的DEHP浓度全部达到《地下水质量标准》(GB/T 14848—2017)中Ⅰ类标准限值要求,总检出率达66.7%~100.0%,通过饮水途径引起的总风险数量级分布中,城市集中式饮用水源地为10^(-10)~10^(-9),县城(区)饮用水源地为10^(-10)~10^(-8)。地表和地下饮用水源地的致癌和非致癌总风险均低于US EPA和国际癌症机构(ICRP)的最大可接受风险水平,并低于瑞典环境保护署、荷兰建设和环境署以及英国皇家协会的最大可接受风险水平,处于Ⅰ级,低风险状态。     

重庆典型岩溶地区地下水多环芳烃污染水平及健康风险

采集重庆3个典型岩溶地区113个地下水样品,利用人体暴露风险系数法对16种优先控制多环芳烃(PAHs)饮水途径健康风险进行评价。结果表明:地下水中PAHs、致癌PAH和BaP的质量浓度分别为200 ng/L～2 638 ng/L、未检出～362 ng/L和未检出～62.7 ng/L,其中南川区地下水中BaP质量浓度为45.1 ng/L,已超过《生活饮用水卫生标准》(GB 5749—2006)的水质要求。PAHs污染水平为南川区老龙洞流域青木关流域,与国内其他岩溶地区地下水相比,处于较高污染水平。人群的致癌风险(ILCR)为5×10~(-10)～2.80×10~(-5),其中南川区ILCR10~(-6),具有潜在致癌风险;非致癌类PAHs饮水途径健康风险处于10~(-11)～10~(-9)水平,远低于USEPA规定的阈值1。     

南方某河流型饮用水源地重金属健康风险评估

对南方某河流型饮用水源地水中重金属含量进行调查研究,并应用美国环保局推荐的健康风险评价模型对其进行健康风险评价。结果表明,该饮用水源地水中重金属类污染物健康风险值相对较低,其中重金属类致癌污染物的健康风险均值大小顺序为CrAsCd,其值分别为8.19×10-6、2.11×10-6、1.59×10-7a-1,Cr、As的风险值高于瑞典、荷兰、英国推荐的最大可接受水平(1×10-6a-1),而低于国际(ICRP)与美国环保局的健康风险可接受水平(5×10-5a-1和1×10-4a-1),成为该饮用水源地的主要致癌污染因子。重金属类非致癌污染物的健康风险均值大小顺序为CuNiZn,其值分别为1.95×10-10、1.19×10-10、5.73×10-12a-1,均远远低于致癌污染物的健康风险值。     

生态保护区域饮用水源地水质金属健康风险评价

选择重庆市生态保护发展区域饮用水源地为研究对象,运用健康风险评价模型对其水质金属进行评价。结果表明:7个饮用水源地中27种金属元素均达到USEPA、WHO和《生活饮用水卫生标准》(GB 5749—2006)限值要求。饮用水源地中致癌健康风险从高到低依次为CrAsCd,均低于USEPA最大可接受风险。非致癌金属的健康风险从高到低依次为SrPbMoFeCuSeAgNiZnMn,非致癌风险水平为9.36×10~(-11)a~(-1)~1.25×10~(-7)a~(-1),远低于USEPA、ICRP等权威机构限值。成人致癌和非致癌健康风险水平均为女男,致癌总风险均大于非致癌总风险2个数量级以上,总健康风险均保持在10-5数量级水平。     

海南饮用水源地水体中阿特拉津健康风险评价

采用全自动固相萃取-超高压液相色谱-串联质谱法(UPLC-MS-MS)测定海南饮用水源地原水中阿特拉津的含量。结果表明,在22个监测点位中,阿特拉津的检出率达到69.7%,其检出浓度为未检出~74.8 ng/L,浓度值均低于《地表水环境质量标准》(GB 3838—2002)中阿特拉津的标准限值。采用USEPA推荐的健康风险评价方法,对海南饮用水源地原水中阿特拉津通过饮用水和皮肤接触途径引起的健康风险进行了初步评价,阿特拉津通过饮用水和洗浴途径引起的非致癌总风险指数、致癌总风险指数分别为0~7.1×10-5和0~5.7×10-7,均在USEPA的建议值内,初步认为海南饮用水源地原水中的阿特拉津不会对人体产生明显的健康危害。     

南宁市河流型水源地重金属污染调查与健康风险评价

通过对南宁市河流型水源地水体中Pb、Cd、Hg、As浓度调查与健康风险评价研究,结果表明:这4种元素在水体中的质量浓度较低,均达到《地表水环境质量标准》(GB 3838-2002)Ⅱ类标准;经饮水途径引起的健康风险从大到小依次为AsCdPbHg,说明As是南宁市饮用水源中的主要风险因子;4种元素通过饮水途径引起的平均个人年健康致癌风险值为1.48×10-6a-1~13.75×10-6a-1,非致癌风险值为7.05×10-10a-1,均低于美国环保局和国际辐射防护委员会的推荐值。     

下辽河平原地下水健康风险评价

通过在下辽河平原布设217个地下水采样点,调查监测其中典型的无机、有机化合物,并应用美国EPA健康风险评价模型进行风险评价。结果表明:该区域地下水中无机化合物较有机化合物浓度水平高;无机化合物中NO_3~-、NO_2~-、Mn及As浓度较高,有机化合物中γ-六六六浓度较高。所有监测的无机、有机化合物通过饮用水途径引起的致癌风险高于非致癌风险;所有化合物的非致癌风险数值均小于ICRP推荐的最大可接受风险水平10~(-6)a~(-1),As致癌风险最大值为6.15×10~(-5)a~(-1),超过EPA推荐的可接受值5.0×10~(-5)a~(-1)。     

江苏某县地下水邻苯二甲酸酯类的检测与风险评价

在江苏某癌症高发区对地下水进行布点,采用固相萃取与气相色谱-质谱联用方法测定深层地下水和浅层地下水中邻苯二甲酸酯类(PAEs)的浓度。检测结果表明,地下水中PAEs污染程度较严重,邻苯二甲酸二丁酯(DBP)和邻苯二甲酸二(2-乙基己基)酯(DEHP)均有超标现象,其中,丰水期深层地下水和枯水期浅层地下水中DBP超标率达到100%,最大超标10.7倍。PAEs总质量浓度均值为10 034.56~14 872.91 ng/L,丰水期总浓度均值大于枯水期,浅层地下水的总浓度均值大于深层地下水。采用优化的USEPA风险评价模型,对PAEs进行人体健康风险评价,评价结果表明,该地区52.5% 地下水的PAEs总致癌风险超过10^-6的水质监控值,总非致癌风险在可接受范围内。     

江苏某县乡镇饮用水中挥发性有机物的检测及其风险评价

在江苏某癌症高发县5个乡镇10个村进行布点取样,采集深层地下水与浅层地下水共计20个水样。采用吹扫捕集与气相色谱-质谱联用方法测定水样中14种挥发性有机物(VOCs),检出二氯甲烷、1,3-二氯丙烷、三氯甲烷、苯和四氯化碳5种VOCs,其质量浓度分别为0.14～1.71、ND～50.98、0.29～90.02、0.09～2.35、0.18～3.45μg/L。2个水样中的三氯甲烷和6个水样中四氯化碳超过《生活饮用水卫生标准》(GB 5749—2006)规定的限值。采用优化的美国环保局风险评价模型进行人体健康风险评价,其非致癌风险指数为0.000 7～0.072,致癌风险水平1.70×10-7～2.03×10-5,70%水样的致癌风险水平超过10-6水质监控值,2个浅层地下水的致癌风险水平较高。四氯化碳和三氯甲烷对非致癌风险指数和致癌风险水平贡献较大。     

芦山县地震灾区饮用水水源地总放射性水平的初步调查

通过对地震后雅安市芦山县的饮用水水源地总放射性水平调查,初步掌握该县重点区域饮用水水源地放射性浓度的水平。参考《生活饮用水标准检验方法放射性指标》(GB/T 5750.13—2006),通过测定质量厚度-计数效率曲线获取不同质量厚度的样品源所对应的计数效率值,计算水质中总放射性浓度。结果显示,所采集的雅安芦山地震灾区40个饮用水源地水样中的总α、总β放射性活度浓度范围分别为9.13×10-3Bq/L~9.83×10~(-2)Bq/L和1.68×10~(-2)Bq/L~1.36×10-1Bq/L,均符合我国《生活饮用水卫生标准》(GB 5749—2006)中放射性活度浓度指标限值要求(总α≤0.5 Bq/L,总β≤1 Bq/L)。说明地震没有造成该地区饮用水源地水质的放射性污染。     

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.     

Potential health risk of arsenic and cadmium in groundwater near Xiangjiang River, China: a case study for risk assessment and management of toxic substances

As part of our efforts to find effective methods to the drinking water risk management, the health risk assessment of arsenic and cadmium in groundwater near Xiangjiang River was analyzed. The results suggest that although the arsenic and cadmium concentrations in 97% of groundwater sources are less than the requirement of Water Quality Standards for Drinking Water (GB5749-2006) in China, the residents served by almost all of the investigated centralized drinking water sources have a significant potential health risk by consumption, especially cancer risk. It is justified through analyses that risk assessment is an effective tool for risk management, and the maximum permissible concentration of arsenic and cadmium in drinking water (0.01 and 0.005?mg L^-1, respectively) is suitable for China at present, considering the current economic status of China. Risk managers develop cleanup standards designed to protect against all possible adverse effects, which should take into account highly exposed individuals, effects of mixtures of toxic substances, attendant uncertainties, and other factors such as site-specific (or generic) criteria, technical feasibility, cost?Cbenefit analyses, and sociopolitical concerns.     

长江口南通地区饮用水源地健康风险评价

对长江口南通地区饮用水源地中镉、砷、六价铬等有毒有害物质的浓度进行了调查,并应用目前美国环保局推荐的健康风险评价模型对各饮用水源地有毒有害物质所引起的健康风险做了初步评价。结果表明,长江口南通地区饮用水源地通过饮水途径基因毒物质中化学致癌物所产生的健康风险的数量级为10^-8~10^-5,其中As 在如海河和新通扬运河所引起的致癌风险最大,高于国际辐射防护委员会(ICRP) 推荐的通过饮水途径最大可接受风险水平;通过饮水途径引起的非致癌健康风险远低于ICRP 推荐的最大可接受风险水平。基因毒物质中砷和六价铬这2种毒物应被列为该地区饮用水源地水和水厂制水过程中优先检测和控制的致癌污染物,应重点关注基因毒物质六价铬和砷对人体所产生的健康风险。     

乌鲁木齐地表水饮用水源地水体有机氯农药健康风险评价

为了解乌鲁木齐市地表饮用水源地水体中有机氯农药(OCPs)对人体产生的潜在健康危害风险,从一号冰川、英雄桥、乌拉泊水库的9个采样点采集水样,采用液液萃取-气相色谱/质谱法对其中的有机氯农药残留状况进行了测定,水样中9种有机氯化合物的总质量浓度为15.1 ng/L～41.2 ng/L。应用美国国家环保局(US EPA)推荐的健康风险评价方法,对乌鲁木齐市地表饮用水源地水体中有机氯农药通过食用途径进入人体的危害进行了风险计算和初步评价。结果表明,各监测断面的致癌风险和非致癌风险低于ICRP和USEPA推荐的最大可接受风险水平,初步认为目前乌鲁木齐市地表饮用水源地水体中有机氯农药不会对人体产生明显的健康危害。     

NITRATE CONCENTRATIONS IN RIYADH, SAUDI ARABIA DRINKING WATER SUPPLIES

Riyadh, Saudi Arabia is supplied with drinking water fromboth desalinated sea water and treated groundwater sources. Sampleswere analysed for NO₃ from selected deep and shallow wells, two locations within the city's six groundwater treatment plants, thedesalinated sea water and distribution network. Average nitrateconcentrations (as NO₃) were 8.2 and 15.8 mg/L for deep andshallow well waters, respectively. The average nitrate concentrations (asNO₃) in the groundwater treatment plants influent waters and thefinal product water were 16.2 and 8.5 mg/L, respectively. Due toblending of the plants' product water with the desalinated sea water, theaverage network nitrate concentration was 4.4 mg/L. The scheduledwater interruption does not seem to cause any appreciable change in thenitrate levels in the distribution network.     

固相萃取-高效液相色谱法测地表水中11种酚类化合物

建立了固相萃取-高效液相色谱法同时测定地表水中11种酚类化合物的方法。水样经过全自动固相萃取仪富集,以HLB柱为萃取柱,乙腈(含1%乙酸)为洗脱剂,用高效液相色谱仪分析定量。该方法在0.5~5.0 mg/L范围内线性良好,相关系数为0.999 6~0.999 9,11种酚类化合物的纯水加标回收率为82.0%~111%,地表水加标回收率为98.5%~116%,精密度为3.58%~4.67%,检出限为1×10-4~5×10-4mg/L,该方法简单实用、准确可靠,可用于地表水中酚类化合物的同时测定。     

Water quality assessment: surface water sources used for drinking and irrigation in Zaria,Nigeria are a public health hazard

We assessed the quality and pollution status of source surface waters in Zaria, Nigeria by monitoring the nature, cause and extent of pollution in Samaru stream, Kubanni River and Kubanni dam over a period of 10 months, between March and December 2002. A total of 228 water samples was collected from 12 sites and analysed for a total of ten physicochemical and one bacteriological quality indicators, using standard methods. Aesthetic water quality impairment parameters were also observed. The mean values of most water quality parameters were significantly higher (P < 0.05) in both the stream and river than in the dam. There was no significant correlation between faecal coliform counts (FCC) and water temperature (in the range 15–33°C); pH (5.77–7.32); and turbidity (1.4–567 NTU). The high FCC ranged from 2.0 × 10¹ to 1.6 × 10⁶ MPN/100 ml and exceeded the WHO standards for drinking water and water used for fresh-produce irrigation, and correlated positively (P < 0.05) with conductivity (in the range 68–1,029 μS/cm); TDS (10.0–70.0 mg/l); TSS (10.0–70.0 mg/l); Cl (7.5–181 mg/l); PO₄⁻P (0.01–0.41 mg/l); NO₃⁻N (0.6–3.8 mg/l) and BOD₅ (0.1–14.9 mg/l). The main pollution sources were municipal wastewater, stormwater runoffs, the ABU sewage treatment plant, abattoir effluents and irrigation farms treated with chemical fertilisers. We conclude that these water bodies are potentially hazardous to public health and that proper sewage treatment and river quality monitoring are needed to warn against hazards to public health.     

集中式饮用水源地邻苯二甲酸酯类物质分布特征与健康风险评估

以某地区7个集中式饮用水源地为研究对象,采用固相萃取气相色谱-质谱法(SPE-GC-MS)对水体中16种邻苯二甲酸酯的分布特征和溯源进行了研究,并利用健康风险评估模型对水体PAEs进行了健康风险评价。结果表明:邻苯二甲酸二正丁酯、邻苯二甲酸二(2-乙基己基)酯、邻苯二甲酸二异丁酯和邻苯二甲酸二正辛酯在所有PAEs同系物中含量丰富,而所有样品均无邻苯二甲酸二(2-甲氧基)乙酯和邻苯二甲酸二戊酯的检出;二水厂和亨达水务断面Σ_(16)PAEs浓度最高,四水厂和五水厂断面Σ_(16)PAEs浓度最低;水体12种PAEs共提出3个主成分,揭示了91%的影响因子;层次聚类分析表明:7个采样断面聚为2类,分别代表了内河和长江水体。水体中PAEs的致癌风险值和非致癌风险值均远低于参考值,说明研究水体PAEs不会对居民构成致癌风险或其他明显的健康风险,但需加强该地区PAEs使用的规范与监管,强化末端处理,以规避风险。     

Management of groundwater in farmed pond area using risk-based regulation

Blackfoot disease (BFD) had occurred seriously in the Yichu, Hsuehchia, Putai, and Peimen townships of Chia-Nan District of Taiwan in the early days. These four townships are the districts of fishpond cultivation domestically in Taiwan. Groundwater becomes the main water supply because of short income in surface water. The problems of over pumping in groundwater may not only result in land subsidence and seawater intrusion but also be harmful to the health of human giving rise to the bioaccumulation via food chain in groundwater with arsenic (As). This research uses sequential indicator simulation (SIS) to characterize the spatial arsenic distribution in groundwater in the four townships. Risk assessment is applied to explore the dilution ratio (DR) of groundwater utilization, which is defined as the ratio showing the volume of groundwater utilization compared to pond water, for fish farming in the range of target cancer risk (TR) especially on the magnitude of 10^?4～10^?6. Our study results reveal that the 50th percentile of groundwater DRs served as a regulation standard can be used to perform fish farm groundwater management for a TR of 10^?6. For a TR of 5?×?10^?6, we suggest using the 75th percentile of DR for groundwater management. For a TR of 10^?5, we suggest using the 95th percentile of the DR standard for performing groundwater management in fish farm areas. For the TR of exceeding 5?×?10^?5, we do not suggest establishing groundwater management standards under these risk standards. Based on the research results, we suggest that establishing a TR at 10^?5 and using the 95th percentile of DR are best for groundwater management in fish farm areas.