Al／C／Fe复合电极电絮凝法同时除氟除砷（V）

为了同时去除地下水中的氟和砷，提出了Al／C／Fe复合电极电絮凝法和Al／C—Fe／C依次除氟砷法，并进行效果对比。研究了Al／C／Fe复合电极电絮凝法的影响因素，并对复合电极电絮凝产生的絮体进行了SEM-EDX分析。结果表明，Al／C／Fe复合电极电絮凝法对氟、砷的去除速率分别是Al／C-Fe／C依次除氟砷法的1．43倍和4．73倍；初始氟／砷浓度为4．0／1．0、4．0／0和0／1．0mg／L3种条件下，通过铝极板、铁极板的电流密度均为0．10mA／cm2时，达到最好的除氟除砷效果，与初始氟／砷浓度无关。     

Al/C/Fe复合电极电絮凝法同时除氟除砷(Ⅴ)简

为了同时去除地下水中的氟和砷，提出了Al/C/Fe复合电极电絮凝法和Al/C-Fe/ C依次除氟砷法，并进行效果对比。研究了Al/C/Fe复合电极电絮凝法的影响因素，并对复合电极电絮凝产生的絮体进行了SEM-EDX分析。结果表明，Al/C/Fe复合电极电絮凝法对氟、砷的去除速率分别是Al/C-Fe/C依次除氟砷法的1.43倍和4.73倍；初始氟/砷浓度为4.0/1.0、4.0/0和0/1.0 mg/L 3种条件下，通过铝极板、铁极板的电流密度均为0.10 mA/cm²时，达到最好的除氟除砷效果，与初始氟/砷浓度无关。     

煅烧的水滑石同时去除水体中砷和氟

为探讨水滑石类材料对水体中氟、砷离子的同时去除效果,采用共沉淀法合成(Mg∶Al=2∶1)纳米类水滑石(LDHs),用傅立叶转换红外光谱、电子扫描透射电镜、X射线晶体衍射等手段对合成的材料进行了表征,并研究纳米材料在不同初始浓度、pH、吸附时间、阴离子干扰条件下其同时除砷氟性能。结果表明,煅烧后的水滑石(LDOs)对砷最大吸附量为51.02 mg/g,对氟最大吸附量为36.63 mg/g。吸附动力学实验表明,煅烧水滑石对砷的吸附在前6 h内基本完成,对氟的吸附在前10 h内基本完成。砷氟共存溶液保持pH=4~10及pH=6~8时,水滑石分别对砷、氟保持良好的吸附效率。对比不同阴离子对水滑石共除砷氟效率的影响,水滑石除砷速率受到阴离子影响力大小为:HPO2-4CO2-3NO-3Cl-SO2-4;水滑石除氟速率受到阴离子影响力大小为:CO2-3HPO2-4SO2-4Cl-NO-3。材料再生循环利用4次后,对砷和氟的吸附效率均能达到90%以上。实验结果表明,所合成的水滑石是一种优秀的能共除砷氟的吸附剂。     

针对含砷硫酸烧渣酸浸液的铁盐沉淀固砷

为考察含砷硫酸烧渣中酸浸脱砷效果和铁盐沉淀固砷行为,采用常温常压酸浸法脱除硫酸烧渣中的砷,并对进入浸出液中的砷以铁盐沉淀的形式脱除,进而对沉淀渣的浸出毒性进行研究。同时,研究了磨矿细度、酸浓度、固液比、浸出时间对硫酸烧渣中砷脱除效率的影响。结果表明,通过控制浸出参数可以将硫酸烧渣中砷的质量分数降低到0.2%以下,通过调节浸出液的pH和Fe/As摩尔比将其中的砷以沉淀的形式脱除。当Fe/As 2、pH=4～6时,溶液中砷浓度降到了0.5 mg·L~(-1)以下。沉淀砷渣主要是以非晶态的形式存在,提高铁砷比有利于提高砷渣稳定性,从而降低浸出毒性。在Fe/As=3、pH=6.04～6.22的条件下,得到的沉淀渣的浸出毒性为0.711 mg·L~(-1)。因此,通过酸浸脱除硫酸烧渣中的砷,进而采用铁盐沉淀的方法能够实现硫酸烧渣中砷的安全处置。     

石灰—硫酸亚铁法处理高浓度砷和氟酸性废水试验研究

采用二级石灰－硫酸亚铁法处理砷和氟浓度分别高达１１０ｍｇ／Ｌ和６５０ｍｇ／Ｌ以上的酸性废水。当一、二级控制条件分别为ｐＨ９．５和９．０、Ｆｅ／Ａｓ比为２．５和１５时，一级砷和氟去除率分别可达９９．５％和９４％，二级出口砷和氟残余浓度分别可低至０．１ｍｇ／Ｌ和１３．８ｍｇ／Ｌ，Ｃｕ、Ｚｎ和Ｐｂ等重金属离子均达检不出水平。     

溴与铜协同还原法脱除污酸中的砷

针对高酸度的含砷废水处理难度大的问题,通过溴与铜的协同作用将高价态的砷还原为单质来实现脱砷,采用ICP测定、阴离子电极分析、XRF检测对反应前后的溶液滤渣进行了表征;研究了还原反应中各因素对反应的影响。结果表明:反应温度、反应时间、氢离子浓度、铜粉目数及搅拌速率的升高均有利于砷还原反应的发生;增加铜粉及溴化钠用量,有助于反应进行,铜粉与溴化钠过量则引起反应后溶液中铜、溴离子浓度升高。在最优条件下,反应后砷的去除率可达到99.5%以上,溶液中的铜离子为60 mg·L~(-1)以下,通过XRF分析反应后所得的滤渣发现,溶液中的砷均沉淀进入固体。通过溴与铜协同还原的方法,溶液中的高价砷还原为单质,实现了高酸度环境下砷的脱除。     

磁性纳米吸附剂Fe3O4·ZrO(OH)2的合成及对水中氟和砷的吸附性能

用共沉淀法将ZrOCl2·8H2O包裹在磁性纳米Fe3O4表面,合成了一种针对高浓度含砷含氟废水的高效新型磁性纳米吸附剂Fe3O4·ZrO(OH)2.研究考察了吸附剂对氟和砷的吸附容量、反应平衡时间以及pH对吸附效果的影响.实验表明,磁性纳米Fe3O4·ZrO(OH)2吸附剂对水中F-和As(Ⅲ/Ⅴ)等温吸附模型符合Langmuir和Freundlich模型.对溶液中总氟和总砷的吸附容量分别可达70.42 mg/g和133.33 mg/g.通过拟二级动力学方程可得知吸附过程在20 min左右即可达到平衡.随着pH的不断增加,吸附剂对氟的吸附容量逐渐降低,而对砷的吸附量则是先增加后减少.     

福州市主栽蔬菜品种对砷的积累及健康风险

为阐明福州市主要蔬菜基地种植的蔬菜中砷积累特征与食用风险水平,对研究区域内蔬菜和对应土壤中砷含量进行了分析检测,采用Monte-Carlo模型法对蔬菜中砷引起的健康风险进行了评价,并探讨了蔬菜和土壤砷含量之间的相关性及不同品种、不同类别蔬菜之间积累砷的差异。结果表明:研究区内菜地土壤没有明显的砷超标,砷含量均未超出国家土壤二级标准(30 mg·kg~(-1));研究区内蔬菜安全状态很好,不存在明显的健康风险;蔬菜中砷与其对应土壤中砷之间无显著相关性;不同类别的蔬菜之间对于砷的累积存在差异性,蔬菜中砷的富集系数顺序为叶菜类根茎类瓜果类,其中茼蒿的富集系数最大,豌豆和辣椒的最小。     

河南省城市污泥中汞和砷的分布特征及污染评价

为了解河南省城市污泥中汞和砷的污染水平及其影响因素,采集河南省11个地市15座城市污水处理厂污泥样品,对污泥中汞和砷含量进行分析。结果表明:污泥中汞和砷分别为2.15~4.47、13.72~52.20 mg/kg,平均分别为3.03、32.00 mg/kg,未超过《农用污泥中污染物控制标准》(GB 4284—84);汞和砷分布具有明显的地区特征,含量较高的城市集中在郑州、漯河、许昌等中部城市。主成分分析结果表明,污水来源和总有机碳含量对砷含量具有重要影响。单因子评价结果表明,86.6%的污泥样品处于中度或重度砷污染,而汞含量均处于重度污染状态。     

煤基腐殖酸对外源砷胁迫下玉米生长及生理性状的影响

为了筛选用于砷污染土壤治理的煤基腐殖酸，采用盆栽实验研究了施用不同种类和浓度的煤基腐殖酸及EDTA对外源砷胁迫下玉米株高、株鲜重、株干重、根干重、砷积累量、叶片抗氧化酶（POD，SOD和CAT）活性和脯氨酸含量的影响。结果表明，11种供试煤基腐殖酸均促进了玉米生长，提高了叶片POD、SOD和CAT活性。其中6和10号腐殖酸可降低土壤砷活性和显著抑制玉米吸收和积累砷，而8和9号腐殖酸增加了土壤活性砷和显著促进了玉米对砷的吸收和累积，且不同程度地强于EDTA。除8和9号外，其余腐殖酸均可明显降低玉米叶片脯氨酸的含量。EDTA可显著促进玉米吸收和积累砷，且加剧了砷对玉米的危害。因此，8和9号供试煤基腐殖酸可以替代EDTA活化土壤砷，与植物配合以提高砷污染土壤的植物修复速度和效果，而6和10号供试煤基腐殖酸则可用于土壤砷钝化剂，以保证作物产品的安全。     

Arsenic, copper, and zinc contamination in soil and wheat during coal mining, with assessment of health risks for the inhabitants of Huaibei, China

Field studies were conducted to investigate arsenic (As), copper (Cu), and zinc (Zn) contamination in agricultural soils and wheat crops at two areas in Huaibei, China. Area A is in the proximity of Shuoli coal mine. In area B, three coal mines and a coal cleaning plant were distributed. The potential health risk of As, Cu, and Zn exposure to the local inhabitants through consumption of wheat grains was also estimated. The results showed that significantly higher (p?<?0.05) concentrations of As, Cu, and Zn were found in soils collected from area B than in those from area A. Arsenic concentrations in wheat sampled from area A were negatively correlated with the distance from the coal mine (p?<?0.001). Concentrations of Cu and Zn in wheat seedlings and grains collected from area B were significantly higher (p?<?0.05) than in those collected from area A, with the exception of Zn in wheat seedlings. Concentrations of Cu and Zn in most wheat grain samples were above the permissible limits of Cu and Zn in edible plants set by the Food and Agriculture Organization/World Health Organization. The hazard index of aggregate risk through consumption of wheat grains was 2.3–2.4 for rural inhabitants and 1.4–1.5 for urban inhabitants. The average intake of inorganic As for rural inhabitants in Huaibei was above 10 μg day^?1. These findings indicated that the inhabitants around the coal mine are experiencing a significant potential health risk due to the consumption of locally grown wheat.     

Environmental Irradiation Test Facility

Results from a detailed analysis of sulfur dioxide (SO₂) reductions achievable through “deep” physical coal cleaning (PCC) at 20 coal-fired power plants in the Ohio-Indiana-Illinois region are presented here. These plants all have capacities larger than 500 MWe, are currently without any flue gas desulfurization (FGD) systems, and burn coal of greater than l%sulfur content (in 1980). Their aggregate emissions of 2.4 million tons of SO₂ per year represents 55% of the SO₂ inventory for these states. The principal coal supplies for each power plant were identified and characterized as to coal seam and county of origin, so that published coal-washability data could be matched to each supplier. The SO₂ reductions that would result from deep cleaning each coal (Level 4) were calculated using an Argonne computer model that assumes a weight recovery of 80%. Percentage reductions in sulfur content ranged from zero to 52%, with a mean value of 29%, and costs ranged from a low of $364/ton SO₂ removed to over $2000/ton SO₂ removed. Because coal suppliers to these power plants employ some voluntary coal cleaning, the anticipated emissions reduction from current levels should be near 20%. Costs then were estimated for FGD systems designed to remove the same amount of SO₂ as was achieved by PCC through the use of partial scrubbing with bypass of the remaining flue gas. On this basis, PCC was more cost-effective than FGD for about 50% of the plants studied and had comparable costs for another 25% of the plants. Possible governmental actions to either encourage or mandate coal cleaning were identified and evaluated     

燃煤过程中微量元素砷和硒形态转化的热力学平衡模拟

砷和硒是煤中的易挥发有毒微量元素。由于砷和硒在燃煤烟气中的浓度极低以及实验条件的限制 ,目前化学热力学平衡分析已成为预报烟气中砷和硒等有毒元素形态分布的主要理论分析方法。本文综述了热力学平衡分析方法应用于砷和硒在燃煤过程中形态转化和平衡分布等方面的研究进展。首先用于热力学平衡分析的是只含有砷或硒一种微量元素和煤中主量元素及氯元素的简单体系 ,并假设烟气中只有理想气体组成的气相和纯凝聚相的理想模型。然而是否考虑砷和硒与其他微量、主量或次量元素的相互作用 ,砷和硒所有可能存在的反应 ,以及在熔融相砷和硒与熔融物的结合会严重地影响模型的预报结果 ,因此 ,目前热力学平衡体系已发展成为含有包括砷和硒在内的多个微量元素和煤中所有主量、次量元素 ,以及包括熔融相在内的非理想多相复杂体系     

金属微孔材料及其在高温煤气除尘中的应用研究

介绍了一种新型的高性能金属微孔过滤材料———烧结金属丝网过滤材料及其特性。将该过滤材料应用于高温煤气的除尘过程中 ,试验表明 ,处理效果良好。对于煤气含尘浓度在 3 70 0— 490 0mg Nm3的煤气 ,经处理后 ,可降至 2 0mg Nm3以下 ,过滤效率 >99.5 %。     

Effects of Design and Fuel Moisture on Incinerator Effluents

The particle and gas properties that profoundly affect design and performance of fly ash precipitators are discussed and evaluated in this section. Relation of the coal burned to these properties and to the precipitator gas cleaning problem is broadly examined. The need for a high order of technology consistently applied to cope successfully with the wide and often uncertain variations in coal and ash properties encountered in precipitation practices is emphasized.     

A Computer Plot for a High Temperature Psychrometric Chart

This paper presents results of multivariate regression models developed to estimate the properties and cost of U.S. coals washed for varying degrees of sulfur removal using commercially available physical coal preparation processes. The models allow washed coal characteristics to be predicted from information on coal origin, heating value, ash, and sulfur content. The models were developed by first "processing" each of the 710 coals in the U.S. Bureau of Mines (USBM) coal washability data base through a coal preparation plant computer model which optimizes plant performance to achieve a desired washed coal quality. Washability data are adjusted to account for the inefficiencies of coal washing equipment, and the actual coal sizes treated by various plant wash streams. Since different plant designs may be capable of achieving a given level of sulfur removal, three nominal levels of plant complexity (Levels 2, 3, 4) were included to identify the most economical alternative. The washed coal characteristics thus derived were then analyzed using standard statistical techniques to develop regression equations linking washed coal properties and cost to raw coal properties for each of 18 geographical regions encompassing the entire U.S. These regression models are incorporated in the Advanced Utility Simulation Model (AUSM) to estimate the economic potential of coal washing as a sulfur abatement strategy, in conjunction with other options available to coal-fired power plants. Modeling results for Pennsylvania showed that washed coals frequently were selected as part of a cost-effective control strategy, accounting for 10 to 30 percent of the total emissions reduction, and that "local coal" restrictions significantly increase the use of washed coal as an SO₂ control strategy. Hypothetical requirements for mandatory coal cleaning, however, were found to be costly and ineffective.     

Adsorption of arsenic(V) onto fly ash: a speciation-based approach

Arsenic (As) poses a significant water quality problem and challenge for the environmental engineers and scientists in the world. The large volume of coal fly ash produced around the world is a potentially significant anthropogenic source of arsenic. Currently the leaching behavior of arsenic from fly ash is not well understood. Batch methods were used in this study to investigate arsenic leaching using a raw ash, and arsenic adsorption using a clean, washed ash. Experimental results indicated that pH had a significant effect on arsenic leaching or adsorption. Between pH 3 and 7, less arsenic was in the dissolved phase. When pH was less than 3 or greater than 7, increasing amounts of arsenic were leached or desorbed from fly ash. The leaching and adsorption behavior of arsenic was interpreted with the speciation of surface sites and arsenic. In a new approach, a speciation-based model was developed to quantify the arsenic adsorption as a function of pH and surface acidity parameters. This work is important in offering insight into the leaching mechanism of arsenic from coal fly ash, and providing a robust model based upon specific, measurable parameters to quantify arsenic adsorption by other solid media in addition to fly ash.     

Predicting extents of mercury oxidation in coal-derived flue gases

The proposed mercury (Hg) oxidation mechanism consists of a 168-step gas phase mechanism that accounts for interaction among all important flue gas species and a heterogeneous oxidation mechanism on unburned carbon (UBC) particles, similar to established chemistry for dioxin production under comparable conditions. The mechanism was incorporated into a gas cleaning system simulator to predict the proportions of elemental and oxidized Hg species in the flue gases, given relevant coal properties (C/H/O/N/S/Cl/Hg), flue gas composition (O2, H2O, HCl), emissions (NO(X), SO(X), CO), the recovery of fly ash, fly ash loss-on-ignition (LOI), and a thermal history. Predictions are validated without parameter adjustments against datasets from lab-scale and from pilot-scale coal furnaces at 1 and 29 MWt. Collectively, the evaluations cover 16 coals representing ranks from sub-bituminous through high-volatile bituminous, including cases with Cl2 and CaCl2 injection. The predictions are, therefore, validated over virtually the entire domain of Cl-species concentrations and UBC levels of commercial interest. Additional predictions identify the most important operating conditions in the furnace and gas cleaning system, including stoichiometric ratio, NO(X), LOI, and residence time, as well as the most important coal properties, including coal-Cl.