Oxyanion Concentrations in Eastern Sierra Nevada Rivers – 2. Arsenic and Phosphate

Water samples were collected from the Truckee River-Pyramid Lake system, the Walker River-Walker Lake system, and the Carson River, all located in eastern California and western Nevada, U.S.A., at three different times (i.e., summer 1991, spring 1992, and autumn 1992) over a two year period. The concentrations of As, Na, Cl, PO4, and pH were measured in these river samples and the associated terminal lakes. Arsenic values ranged from below 13 nmol/kg near Truckee, California to 160 nmol/kg at Nixon, Nevada in the Truckee River, from 40 nmol/kg in the headwaters of both West and East Walker Rivers to 270 nmol/kg below Weber Reservoir on the main branch of the Walker River, and from <27 nmol/kg to 234 nmol/kg for the lower Carson River system. Arsenic concentrations in Steamboat Creek (0.91 mol/kg–1.80 mol/kg) in the Truckee River catchment are above the U.S. EPA drinking water maximum contaminant level of 0.67 mol/kg, as are the As concentrations in both Pyramid Lake (1.33 mol/kg–1.57 mol/kg ) and Walker Lake (13.7 mol/kg–18.7 mol/kg). Sources of As for all three rivers include weathering of As-rich rocks and/or regolith and input of high-As geothermal spring waters, both processes primarily, although not exclusively, adding As to the headwater regions of these rivers. Steamboat Hot Springs (29 mol/kg As 54.5 mol/kg), for example, is identified as a source of As to the Truckee River via Steamboat Creek. The high As concentrations in Pyramid and Walker Lakes are likely due to (1) desorption of arsenate from aquatic particulate matter in these high pH waters (9.0 pH 9.5), (2) limited biologic uptake of arsenate, and (3) evaporative concentration of the lake waters. Evaluation of molar PO4}/As ratios of river waters and geothermal spring waters (e.g., Steamboat Hot Springs), indicates that phosphate is substantially enriched in Steamboat Creek as well as the mid to lower reaches of the Walker and Carson Rivers. These regions of each river are dominated by agricultural interests and, additionally, in the case of Steamboat Creek, residential areas and golf courses. Our data strongly imply that phosphate-rich agricultural return flow has likely added P to these streams and, consequently, increased their respective P:As ratios.     

黄河口及其附近海域沉积物中As的粒度校正(Ⅱ)

本文着重讨论利用沉积物外比表面校正法对黄河口及其附近沉积物中As进行粒度校正,并与上文讨论的≤16μm粒径外推校正法及中值粒径校正法进行了比较,结果外比表面法被认为是较为合理的。同时还提出利用单位外表面积沉积物活性As含量作为沉积物中As的评价标准,并可以推广到沉积物中其他污染物质的研究中去。     

河水入渗过程中近岸带地下水中砷的形成与影响因素研究

沈阳黄家水源地是我国北方地区典型的傍河地下水水源地,近岸带地下水中铁(Fe)、锰(Mn)、砷(As)含量严重超标。为查明地下水中As的来源与影响因素,对研究区河水、地下水以及土壤样品进行采集与测试,分析了水样常规指标与碳硫稳定同位素、土样中典型矿物、砷的含量及赋存形态。结果表明,研究区河水中As含量很低,而地下水中As含量普遍超标。河水入渗初期,氧化性河水使部分含As矿物发生氧化而释放As;随着河水入渗,地下水向还原环境转变,含As的Fe/Mn矿物发生还原性溶解,地下水中As含量逐渐升高。研究区典型矿物有黄铁矿、菱铁矿、软锰矿、赤铁矿、针铁矿、菱锰矿等,通过可交换态砷解吸、有机质结合态砷氧化、铁锰氧化物结合态砷还原性溶解等,介质中的As释放至地下水中。地下水中As含量与酸碱度(pH)、氧化还原电位(Eh)呈一定负相关,与溶解有机碳(DOC)、 {\mathrm{HCO}}_3^{-}、Fe、Mn含量呈正相关。     

塔里木盆地南缘绿洲带地下水砷氟碘分布及共富集成因

由于地表水资源稀缺,地下水是塔里木盆地南缘绿洲带重要用水水源,因此,系统查明该区地下水砷氟碘的分布及成因至关重要。基于塔里木盆地南缘绿洲带233组地下水水样检测结果,分析不同含水层中高砷、高氟和高碘地下水的空间分布及水化学特征,结合研究区地质、水文地质条件和地下水赋存环境进一步揭示影响地下水砷氟碘的来源、迁移与富集的水文地球化学过程。结果表明:地下水砷、氟、碘浓度变化范围分别为1.091.2 μg/L、0.0128.31 mg/L、10.02 637.0 μg/L。地下水高砷、高氟和高碘水样分别占总水样的7.3%、47.2%和11.6%,砷氟碘共富集占比为3.0%。砷氟碘共富集地下水主要分布于研究区中部的民丰县,水化学类型主要为Cl·SO₄-Na型。自补给区至过渡区再至蒸发区,地下水氟、碘浓度明显增大,砷浓度在过渡区和蒸发区均较大;砷氟碘共富集地下水取样点主要分布于36.060.0 m深度的浅层承压含水层中。浅层地下水受蒸发作用和矿物溶解沉淀作用的影响,随砷氟碘富集项的增多而增大。第四纪成因类型中风积物对氟浓度的影响较大,洪积-湖积物对砷和碘浓度的影响较大。细粒岩性、平缓的地形、地下水浅埋条件、偏碱性的地下水环境、微生物降解作用下有机质介导的矿物溶解是利于砷氟碘共富集的主要机制。     

内蒙古哈素海区域高砷地下水化学特征及其成因

哈素海区域高砷地下水对当地居民饮用水安全造成严重威胁, 揭示其形成演化机制对科学合理的开发利用水资源、保障居民身体健康具有重要意义。本文在水文地质调查的基础上, 应用Piper三线图、PHREEQC的砷形态计算及相关性分析等方法, 研究高砷地下水化学特征、构建砷形态模型(SM)和砷吸附模型(HSM), 以揭示高砷地下水的成因机制。结果表明, 研究区砷浓度为0.2~231.5 μg/L, 高砷区主要分布在大青山以南的冲湖积平原区; 地下水砷的类型以As(Ⅲ)为主, SM分析显示优势形态为H3AsO3, HSM分析显示存在Hfo_wH2AsO3和H3AsO3两种主要形态。地下水中的砷化物可能来源于山区富砷岩石的风化溶解以及第四系富砷河湖相沉积物; 研究区河湖相沉积环境是高砷水形成的前提, 有机质分解主导的还原环境是导致砷从含水介质释放到地下水中的主要因素, 弱碱性环境和HCO– 3的竞争吸附也会引起砷的释放。     

松嫩平原含水层沉积物特征及其对砷赋存态分布的影响

松嫩平原西部地区为中国砷中毒区域,含水层沉积物特征及砷赋存态对地下水砷迁移、转化的影响并不清楚。在对研究区高砷区与低砷区钻孔沉积物进行取样的基础上,运用激光粒度分析、Tessier五步提取法和Keon分步提取法分别确定了不同深度沉积物的粒度分布和不同赋存态砷含量,系统研究了沉积物的水力传导系数、不同赋存态砷的分布及其与高砷地下水形成的关系。结果表明:沉积物5种赋存态砷(包括可交换态、碳酸盐吸附态、铁/锰氧化物吸附态、有机物或硫化物吸附态和基质态)中,铁/锰氧化物吸附态砷含量最高,并且砷含量与铁、锰含量呈明显正相关性;高砷区钻孔沉积物铁/锰氧化物吸附态砷质量分数为(1.18~6.11)×10-6,低砷区为(0.67~2.60)×10-6;高砷区钻孔沉积物以粉砂、黏土为主,水力传导系数介于0.004~0.027m·d-1,低砷区钻孔沉积物以细砂、中砂为主,水力传导系数介于0.005~0.2m·d-1;沉积物中粉砂或黏土含量越多,则沉积物颗粒越小,其水力传导系数越低,各赋存态砷含量越高,因此,高砷区低水力传导系数有利于还原环境的形成。通过地下水的循环,高砷含水层沉积物的淋滤作用和铁/锰氧化物的还原性溶解形成了研究区高砷地下水。     

氧化锰、氧化铁、氧化铝对砷(Ⅲ)的吸附行为研究

合成了氧化锰、氧化铁、氧化铝三种矿物,以氧化铁、氧化锰为吸附剂研究了pH值、离子强度和时间等因素对吸附As(Ⅲ)的影响,并讨论了氧化锰、氧化铁、氧化铝三种矿物对As(Ⅲ)的饱和吸附容量及等温吸附实验。pH值对氧化锰吸附As(Ⅲ)几乎不影响,对氧化铁吸附As(Ⅲ)在很大的范围内(pH为3.5~8.5)影响不大,离子强度对二者吸附As(Ⅲ)的影响不大,吸附反应在0.5 h左右达到吸附平衡。在优化吸附条件下氧化锰、氧化铁、氧化铝对As(Ⅲ)的饱和吸附容量分别为48.38 mg/g、23.70 mg/g、3.52mg/g,三种合成矿物对As(Ⅲ)的饱和吸附容量:氧化锰氧化铁氧化铝。对实验数据进行Freundlich和Langmuir拟合,相关系数R均在0.98以上,吸附动力学符合Lagergren二级速率方程。     

氢化物发生-双道原子荧光光谱法测定化探样品中砷锑铋

介绍了氢化物发生-双道原子荧光光谱法测定地质化探样品中砷、锑、铋的分析方法。通过一系列方法实验及讨论,确立了较合理的测试条件,准确度及检出限大大改进;通过加入硫脲、抗坏血酸固体粉末,一定程度上减小了稀释倍数,提高了灵敏度;通过实验,砷、锑、铋的负高压/灯电流分别选取280 V/40 mA、280 V/60 mA、280 V/60 mA。方法操作快速、高效、准确,并大大降低了分析成本。     

辽东湾北部浅海区底泥砷元素形态特征

依据2006年辽东湾浅海评价资料,分析了辽东湾北部浅海底泥的砷元素全量和各形态的含量,对砷元素全量和存在形态的分布特征及相关性进行了系统研究,并探讨了其环境生态效应.结果表明:底泥中的砷含量为较高水平,存在形态主要为残渣态、腐植酸结合态和铁锰氧化态,而水溶态、碳酸盐结合态、离子交换态和强有机结合态含量较少.除砷的强有机结合态以外,全量和其他6种形态有很好的相关性,分布特征一致,高值区都分布在锦州湾及附近.并且生态效应明显,底泥中砷的腐殖酸结合态、铁锰氧化态、离子交换态与脉红螺中砷有显著相关性,碳酸盐结合态与锯缘青蟹和口虾蛄中砷有一定的相关性.     

Prediction of Arsenic in Bedrock Derived Stream Sediments at a Gold Mine Site Under Conditions of Sparse Data

Arsenic is often present in gold mining areas. The high sensitivity of arsenic to biogeochemical conditions may lead to catastrophic consequences through contamination of resources such as ground water. Therefore, it is critical to understand the spatial occurrence of arsenic across a given site. Previous studies using traditional pattern recognition techniques such as neural networks and kriging have not been entirely successful in predicting arsenic concentrations across a gold mining area. The methods used in this paper are the support vector machines (SVM) and robust least-square support vector machines (robust LS-SVM). The two techniques were used to predict arsenic concentrations in the sediments of Circle City, Alaska, using the gold concentration distribution present within the sediments. The analysis of the results shows an improved performance and better predictive capabilities of SVM and robust LS-SVM than that of the neural networks and kriging techniques. The robust LS-SVM performed better than the SVM. The performance of the SVM was affected by outliers. The removal of the outliers from the data set and application of SVM showed improved results.