Fe(VI)/CaO2双氧化体系降解水环境中的DMP

研究了高铁酸盐（Fe（VI））/过氧化钙（CaO₂）联合处理对邻苯二甲酸二甲酯（DMP）的降解性能及机理,分析了共存离子的影响.基于响应面方法中的Box-Behnken实验设计进行了多因素实验,采用二次多项式和逐步回归法拟合了DMP去除率与Fe（VI）投加量、CaO₂投加量和反应时间之间的关系,对实验条件进行了优化分析.结果表明,在初始pH值为中性条件下,Fe（VI）/CaO₂可以有效去除DMP,降解过程符合准一级动力学模型.当Fe（VI）/CaO₂/DMP物质的量比为1.1/4.4/1时,模型预测DMP最大降解率为95.57%,和验证实验得出的降解率90.14%相近,表明该响应面模型具有较好的模拟和预测能力.HCO₃^-和Mg²⁺对DMP的降解有一定抑制作用.自由基清除实验结果显示,羟基自由基（HO·）和超氧自由基（O₂^-·）对DMP的降解具有重要贡献,表明Fe（VI）和CaO₂可形成类芬顿试剂协同降解污染物.DMP的主要降解途径包括酯基水解、侧链氧化和苯环的羟基化;主要降解产物为邻苯二甲酸单甲酯,2,5-二羟基苯甲酸,间苯二甲酸,草酸等.     

EK∕PRB修复砷污染土壤影响因素及机理

为明确EK/PRB（电动联合渗透反应格栅）修复As污染土壤过程中各因素的影响机理、提高As的去除效率,以As污染高岭土为研究对象,考察PRB加入、PRB位置、pH调控及腐殖酸强化影响下,EK/PRB系统中电流密度、土壤pH分布和土壤中As残余量、电渗透系数及电渗流的变化规律;探讨EK/PRB修复后土壤中As形态的迁移转化规律.结果表明:①单独EK修复对土壤中As的去除效率较低,加入PRB后去除率为由42%增至57%,并且EK/PRB修复可以将土壤中的As由不容易去除的可还原态转变成较容易去除的酸溶态.②采用盐酸调节阴极pH,可以将土壤中As的去除率由57%增至63%,但同时能耗也明显升高,由5.22 kW·h/g升至39.38 kW·h/g.③添加腐殖酸会促进土壤中As的迁移、提高As的去除效率,但也会增加土壤中难处理的可氧化态和残渣态As的占比.研究显示,EK/PRB除As过程中以PRB的去除作用为主,阴极pH调控及腐殖酸强化均可以提高土壤中As的去除率.      

氯化铁絮凝-直接过滤工艺对地下水中As(Ⅴ)的去除机制研究

为探明氯化铁(Fe Cl3)絮凝-直接过滤工艺对地下水中砷(As)的去除过程及机制,分别进行了批吸附实验、现场絮凝-直接过滤实验、扩展X射线精细结构光谱(EXAFS)及电荷分布多位络合(CD-MUSIC)模拟.采集的地下水样品As主要为五价[As(Ⅴ)],浓度为40μg·L-1.现场柱实验直接过滤工艺中Fe投加量为1.5 mg·L-1,出水As(Ⅴ)浓度均低于10μg·L-1,92 h内可提供64 984 L安全饮用水.固体废物毒性浸出实验表明泥饼浸出液中As浓度为3.4μg·L-1,远低于美国环保署限定值(5 mg·L-1).EXAFS和CD-MUSIC模拟表明Fe Cl3絮凝去除地下水中As(Ⅴ)存在两种机制:在p H 3~9.5范围内,As(Ⅴ)主要以双齿双核吸附在氢氧化铁上;p H9.5时,As(Ⅴ)主要与Ca2+和Mg2+形成沉淀而去除.     

镉砷在针铁矿界面共吸附的相互作用机制

通过吸附动力学和吸附热力学结合表面物理化学表征等手段,研究了As(Ⅴ)和Cd(Ⅱ)在针铁矿界面上的相互作用过程,解析了As(Ⅴ)和Cd(Ⅱ)在针铁矿界面共吸附过程中形成三元络合物的形态.结果表明：(1) As(Ⅴ)和Cd(Ⅱ)在针铁矿界面的吸附过程均符合准二级动力学模型,吸附以化学吸附为主;(2) As(Ⅴ)在针铁矿界面吸附均以内圈吸附为主,具有单层吸附的典型特征,Cd(Ⅱ)在针铁矿界面单吸附过程与As(Ⅴ)类似,而添加了As(Ⅴ)的共吸附过程则出现了外圈吸附,呈现多层吸附的典型特征;(3) As(Ⅴ)和Cd(Ⅱ)共存时可通过静电作用以及形成三元络合物的方式相互促进对方在针铁矿界面上的吸附;(4)通过对比各种表征结果,推导As(Ⅴ)和Cd(Ⅱ)在针铁矿上共吸附过程中生成了“Fe-As-Cd”形式的三元络合物.研究结果进一步丰富了对土壤-氧化铁界面重金属元素微化学相互作用过程的理解.     

福美胂在苹果树上的残留

调查了两个果园１５～２０年树龄的苹果树在连续用福美胂喷涂７～１０年后树根、树皮、枝条、叶片、果实和土壤的砷含量，并和未使用福美胂的果树含量做了比较。结果表明，果实中有砷积累，但未超过食品卫生标准。使用福美胂的树皮、技条、叶片中砷含量比未使用福美胂的高儿倍～十几倍，树皮和短梢叶含量最高。枝条和叶片与树皮的砷含量有密切正相关。土壤表层虽有轻度积累，但不会对土壤生态环境有太大影响。     

Removal of arsenic in tailings by soil flushing and the remediation process monitoring

In order to investigate the optimum conditions for the application of soil flushing of arsenic, a batch test was carried out using EDTA at various concentration and pH levels. Based on the optimum condition derived from the batch test, a column test was conducted to examine the feasibility of the soil-flushing technology under field-equivalent conditions. In this column test, a low flushing solution flow rate showed a significantly higher As removal efficiency (71.6%) than a high flow rate (56.3%). TCLP (toxicity characteristic leaching procedure) and a seed germination test were carried out to monitor the toxicity both during and after the treatment. The finally treated tailings were shown to be significantly remediated, having a reduced toxicity by both the TCLP and seed germination tests.     

Arsenic contamination in the Kanker district of central-east India: geology and health effects

This paper identifies newer areas of arsenic contamination in the District Kanker, which adjoins the District Rajnandgaon where high contamination has been reported earlier. A correlation with the mobile phase episodes of arsenic contamination has been identified, which further hinges on the complex geology of the area. Arsenic concentrations in both surface and groundwater, aquatic organisms (snail and water weeds) soil and vegetation of Kanker district and its adjoining area have been reported here. The region has been found to contain an elevated level of arsenic. All segments of the ecoysystem are contaminated with arsenic at varying degrees. The levels of arsenic vary constantly depending on the season and location. An analysis of groundwater from 89 locations in the Kanker district has shown high values of arsenic, iron and manganese (mean: 144, 914 and 371 μg L⁻¹, respectively). The surface water of the region shows elevated levels of arsenic, which is influenced by the geological mineralised zonation. The most prevalent species in the groundwater is As(III), whereas the surface water of the rivers shows a significant contamination with the As(V) species. The analysis shows a bio-concentration of the toxic metals arsenic, nickel, copper and chromium. Higher arsenic concentrations (groundwater concentrations greater than 50 μg L⁻¹) are associated with sedimentary deposits derived from volcanic rocks, hence mineral leaching appears to be the source of arsenic contamination. Higher levels of arsenic and manganese in the Kanker district have been found to cause impacts on the flora and fauna. A case study of episodic arsenical diarrhoea is presented.     

Effect of natural organic matter on arsenic release from soils and sediments into groundwater

Arsenic (As) contamination in groundwater has received significant attention recently. Natural and anthropogenic sources contribute to the worldwide occurrence of As contamination. As speciation is an important factor related to its toxic and mobile behavior. The release of As from soils and sediments into groundwater is governed by several geophysicochemical processes, of which, As sorption behavior is of principle significance. This review paper summarizes existing information regarding the effects of natural organic matter (NOM) on the fate and mobility of As species in the environment. NOM may enhance the release of As from soils and sediments into the soil solution, thereby facilitating As leaching into the groundwater. The main influencing mechanisms include competition for available adsorption sites, formation of aqueous complexes, and/or changes in the redox potential of site surfaces and As redox speciation. NOM may also serve as binding agents, thereby reducing As mobility. However, comparably little research has been performed on this aspect. Since most investigations have been done on purified minerals under laboratory conditions, further research involving various geological materials under natural environmental conditions is required. Development of proper geochemical conceptual models may provide means of predicting the role of NOM in arsenic leaching and/or immobilization.     

A robust approach for iterative contaminant source location and release history recovery

Contamination source identification is a crucial step in environmental remediation. The exact contaminant source locations and release histories are often unknown due to lack of records and therefore must be identified through inversion. Coupled source location and release history identification is a complex nonlinear optimization problem. Existing strategies for contaminant source identification have important practical limitations. In many studies, analytical solutions for point sources are used; the problem is often formulated and solved via nonlinear optimization; and model uncertainty is seldom considered. In practice, model uncertainty can be significant because of the uncertainty in model structure and parameters, and the error in numerical solutions. An inaccurate model can lead to erroneous inversion of contaminant sources. In this work, a constrained robust least squares (CRLS) estimator is combined with a branch-and-bound global optimization solver for iteratively identifying source release histories and source locations. CRLS is used for source release history recovery and the global optimization solver is used for location search. CRLS is a robust estimator that was developed to incorporate directly a modeler's prior knowledge of model uncertainty and measurement error. The robustness of CRLS is essential for systems that are ill-conditioned. Because of this decoupling, the total solution time can be reduced significantly. Our numerical experiments show that the combination of CRLS with the global optimization solver achieved better performance than the combination of a non-robust estimator, i.e., the nonnegative least squares (NNLS) method, with the same solver.     

煤燃烧过程中有机钙固氟效果研究

选择醋酸钙镁、醋酸钙2种有机钙为固氟剂,在固定床管式炉上对它们的固氟效果进行了初步研究,并分析了粒径、温度、钙硫比等对试验结果的影响.通过与传统固氟剂碳酸钙的固氟效果进行比较发现:在相同实验条件下,这2种有机钙具有良好的固氟效果,高温阶段效果更加明显,温度为1 000～1 100℃时,醋酸钙镁的固氟率是碳酸钙的1.68～1.74倍,醋酸钙的固氟率为碳酸钙的1.28～1.37倍.