Speciation and transport of arsenic in an acid sulfate soil-dominated catchment, eastern Australia

Factors controlling the transport of geogenically-derived arsenic from a coastal acid sulfate soil into downstream sediments are identified in this study with both solid-phase associations and aqueous speciation clearly critical to the mobility and toxicity of arsenic. The data from both sequential extractions and X-ray adsorption spectroscopy indicate that arsenic in the unoxidised Holocene acid sulfate soils is essentially non-labile in the absence of prolonged oxidation, existing primarily as arsenopyrite or as an arsenopyrite-like species, likely arsenian pyrite. Anthropogenically-accelerated pedogenic processes, which have oxidised this material over time, have greatly enhanced the potential bioavailability of arsenic, with solid-phase arsenic almost solely present as As(V) associated with secondary Fe(III) minerals present. Analyses of downstream sediments reveal that a portion of the arsenic is retained as a mixed As(III)/As(V) solid-phase, though not at levels considered to be environmentally deleterious. Determination of arsenic speciation in pore waters using high performance liquid chromatography/Inductively Coupled Plasma-Mass Spectrometry shows a dominance of As(III) in upstream pore waters whilst an unidentified As species reaches comparative levels within the downstream, estuarine locations. Pore water As(V) was detected at trace concentrations only. The results demonstrate the importance of landscape processes to arsenic transport and availability within acid sulfate soil environments.     

Applicability of microwave-assisted extraction combined with LC-MS/MS in the evaluation of booster biocide levels in harbour sediments

A new sample treatment method for the determination of four common booster biocides (Diuron, TCMTB, Irgarol 1051 and Dichlofluanid) in harbour sediment samples has been developed that uses liquid chromatography-tandem mass spectrometry (LC-MS/MS) after microwave-assisted extraction, followed by clean-up and a solid phase extraction preconcentration step (MAE-SPE). The effects of different variables on MAE-SPE were studied. The recoveries obtained were greater than 75%, and the relative standard deviation was less than 7%. The detection limits ranged between 0.1 and 0.3 ng g⁻¹. The developed methodology was successfully applied to the evaluation of the presence of booster biocides in sediment samples from different harbours and marinas of Gran Canaria Island (Canary Islands, Spain).     

江苏盐城滩涂土壤中多环芳烃的测定

文中采用江苏盐城滩涂响水到滨海一带的滩涂土壤样品,利用索氏提取法提取、硅胶柱净化、高效液相色谱法分离检测土壤样品中的多环芳烃(PAHs),并用优化洗脱程序对滩涂土壤中PAHs的含量进行了测定。结果表明:11个滩涂土壤样品中检出萘、苊烯、菲、蒽、荧蒽、芘六种PAHs,其含量较低,说明该段滩涂土壤尚未受到多环芳烃的污染。     

高效液相色谱-串联质谱法同时检测地表水中13种药物及个人护理品

采用高效液相色谱-串联质谱(HPLC-MS/MS)检测,建立了地表水中13种药物及个人护理品的测定方法。水样用盐酸与氢氧化钠溶液调p H值至7.0左右,过固相萃取小柱进行富集,用14 m L甲醇洗脱。以C18柱为分离柱,0.01%甲酸的甲醇-0.01%甲酸水溶液为流动相,目标物在10 min内分离,在0.50~250μg/L范围内,13种化合物峰面积与内标物质峰面积之比与质量浓度的线性关系良好(0.99),检出限在0.05~0.5 ng/L范围内。基质加标实验结果表明,13种化合物在水中的回收率分别在56.2%~123.2%之间(加标水平5 ng/m L)和58.0%~107.8%(加标水平50 ng/m L),相对标准偏差在1.60%~19.9%(n=6)之间。应用该方法测定了从2条纳污河流采集的10份水样,结果表明,除美托诺尔和普洛萘尔未被检出外,其余11药物的检出频率在30%~100%之间。在13种目标物质中,咖啡因的检测浓度最高达287.5ng/L,舒必利次之,为277.5 ng/L。本方法快速、准确,适用于地表水中PPCPs类的快速测定。     

超声波提取-恒波长同步荧光法测定淡水藻中叶绿素a的含量

针对绿藻,采用超声波提取,以荧光激发-发射波长差216nm,建立了同步荧光法测定绿藻叶绿素a含量的新方法,其线性范围为0.02～1.25 mg/L,检出限为1.6ug/L,加标回收率在97.0%～104%之间。与分光光度法测定叶绿素a的对比试验结果表明,两者无显著性差异,但该方法具有快速、灵敏,其他常见色素不干扰测定的优点,能够满足供水中绿藻叶绿素a含量快速检测的需要。     

固相萃取-超高效液相色谱-串联质谱测定水中痕量苯甲地那铵

苯甲地那铵是一种广泛使用的苦味剂,近年来被发现在欧洲水体中普遍存在。建立灵敏可靠的环境样品前处理分析方法对评价其环境行为具有重要意义。通过优化关键前处理过程参数,建立了水中苯甲地那铵的固相萃取-超高效液相色谱串联质谱分析方法,系统考察了该方法的准确度、精密度、基质效应、检出限以及线性范围。研究表明：当调节水样pH至8以上,采用混合型阳离子交换小柱(200 mg, 3 mL)富集水样,采用含体积分数2%甲酸的甲醇溶液洗脱时,该方法可获得最佳回收率;纯水和环境水样中加标回收率分别为97%～105%和89%～119%,相对标准偏差小于7%;基质效应均在24%以内;方法检出限为0.07 ng/L,线性范围为0.01～50μg/L。该方法可用于环境水体中苯甲地那铵的痕量检测。     

加速溶剂萃取-固相萃取-高效液相色谱/三重四级杆质谱法测定土壤中6种喹诺酮类抗生素残留

为测定污染土壤中的6种低残留喹诺酮类抗生素(氧氟沙星、培氟沙星、恩诺沙星、环丙沙星、诺氟沙星、恶喹酸),全面优化了一种联合加速溶剂萃取(ASE)、固相萃取(SPE)和高效液相色谱/三重四级杆质谱(HPLC/MSMS)3种检测技术的分析方法.样品采用甲醇和0.1 mol/L EDTA-McIlvaine缓冲液(1∶1)进...     

Solid‐phase extraction and GC analyses of select agricultural pesticides and metabolites in stream water

Abstract

The occurrence of agricultural pesticides in surface waters around the USA has created a concern over the status of safe drinking water. Solid‐phase extraction (SPE) or liquid‐liquid extraction (LLE) is usually employed to concentrate trace levels of pesticides in water samples to concentrations that are measurable with advanced chromatographic instruments. We describe here a SPE and capillary gas chromatographic (GC) procedure to extract and concentrate trace levels of select agricultural pesticides and metabolites from stream water. Our SPE and GC method provides high sensitivity, with recoveries between 85% to 95%, and high reproducibility for 9 of the pesticides studied. The described method provided marginal recoveries of 19 and 60% for the atrazine metabolites.     

U型工作面上隅角埋管瓦斯抽采数值模拟研究

传统的U型通风工作面上隅角瓦斯积聚现象经常出现，严重制约着矿井正常生产能力的有效发挥，对矿井安全生产造成重大威胁。基于前人对采空区非均质多孔介质气体运移理论的研究，采用Fluent软件数值模拟研究了U型和上隅角埋管条件下U型通风系统的静压力场和瓦斯浓度场。研究结果表明：在相同的模型参数条件下，U型通风容易造成上隅角瓦斯积聚，上隅角瓦斯超限问题十分严重；采空区5m处埋管，治理上隅角瓦斯积聚的效果欠佳，达不到安全开采的条件；15m处埋管可以较好的解决上隅角瓦斯超限问题，工作面没有出现瓦斯积聚现象，工作面和回风巷的瓦斯浓度始终处于1％以下；25m处埋管的效果与15m基本相同，没有表现出更好的瓦斯治理效果。综合数值模拟的结果，确定了上隅角埋管抽放采空区瓦斯的理想抽放位置为距离地板垂高1．2m、沿走向深入采空区15m处。     

RUNOFF PREDICTION USING REMOTE SENSING IMAGERY1

ABSTRACT: Percent imperviousness is an important parameter in modeling the urban rainfall-runoff process and is usually determined using manual methods such as random sampling or conventional accounting methods. In this study two computerized methods are used for estimating the percent imperviousness of urban watersheds using high altitude remote sensing imagery. These methods include the Laser Image Processing Scanner and the Video-Tape Camera system. Imperviousness is directly estimated in the former method while in the latter it is estimated as a function of the statistics of the responses on emulsions of the imagery. The percent imperviousness computed by utilizing remote sensing imagery was used with the conceptual models of rainfall-runoff models. The models were applied to four urban watersheds and the runoff prediction results indicate that imperviousness determined by using remote sensing imagery was as accurate as that obtained by the manual methods, and that the use of remote sensing imagery requires significantly less time and money.