Geochemical Characteristics of the Acid Mine Drainage in the Water System in the Vicinity of the Dogye Coal Mine in Korea

This study investigated geochemical characteristics of the acid mine drainage (AMD) discharged from the abandoned mine adits in the vicinity of the Dogye coal mine in Korea. Acid mine drainage discharged from Jeoncha pit adit of the Dogye coal mine, which is the main source of the AMD in the study area, had a pH value of 3.0 and concentrations of 2148mg SO₄ ^2– L^–1, 229mg Fe L^–1, 71mg A1 L^–1 and 11mg Mn L^–1. The reduction of some metal concentrations downstream from the discharge point could be explained on the basis of dilution and precipitation. The order of removal of metal ions downstream from the discharge point was Fe>A1, Cu>Zn, Mn. Acidity could be used as a good determining factor offering comprehensive and quantitative values for the polluting extent of acid mine drainage. The acidities existing in all acidic water samples in the Gunahan district originated primarily from mineral acidity, especially in the upper Nahan Creek from dissolved Fe and Al and in the middle and down Nahan Creek from dissolved Al. From the application of the WATEQ4F program, it was determined that predominant species of dissolved Fe in all water samples was Fe²⁺, and those of dissolved Al were AlSO₄ ⁺ and Al³⁺ except for IW2 sample which was associated with white precipitates. The species of dissolved Al in IW2 sample include also AlOH²⁺ and Al(OH)₂ ⁺. The saturation indices of goethite and haematite were positive in the water samples associated with ochrous precipitates (usually called Yellow Boy), therefore these solids might be precipitated. For the IW2 sample, the saturation indices of amorphous Al(OH)₃ and gibbsite were positive, so theoretically these solids might also be precipitated. By XRD analysis, it was found that goethite occurs in ochrous precipitates, and gibbsite in white precipitates.     

高分子壳聚糖对微量金属离子的螯合作用研究

研究了壳聚糖对溶液中Mn2 + 、Fe2 + 、Cu2 + 、Zn2 + 4种常见微量金属离子的吸附作用 ,通过吸附率、溶液pH等参数 ,表征了壳聚糖的吸附能力及其对离子的选择性吸附 ,其选择性次序为 :Cu+ 2 >Zn2 + >Fe+ 2 >Mn+ 2 ,为壳聚糖处理污水中的微量金属离子作了探索。     

乌贼墨黑色素对Pb2+-Cu2+二元体系的吸附性能研究

为探索新型生物吸附剂，以乌贼墨黑色素（SIM）为吸附剂，研究Pb²⁺、Cu²⁺单组分溶液及Pb²⁺-Cu²⁺二元混合体系中SIM对Pb²⁺和Cu²⁺的吸附效果并构建等温吸附模型.结果表明，pH值、SIM添加量、吸附时间对SIM吸附Pb²⁺和Cu²⁺的吸附量影响较大，而吸附温度对吸附效果影响较小；单组分吸附与二元混合体系吸附对比表明，二元混合体系中Pb²⁺和Cu²⁺存在竞争吸附.应用L （Langmuir）和F （Freundlich）等温吸附模型拟合了SIM对Pb²⁺、Cu²⁺单组分金属离子的吸附过程，其中L模型与试验结果拟合度更高；应用Non-modified Langmuir、Modified Langmuir isotherm、Extended Langmuir、Extended Freundlich和SRS模型5种模型对Pb²⁺-Cu²⁺二元混合体系的等温吸附过程进行拟合，其中Extended Langmuir模型与试验结果拟合度最佳.应用红外光谱（FTIR）分析SIM吸附金属离子的原理时发现，SIM上羟基、-NH和不饱和键是金属离子的吸附位点，且SIM对Pb²⁺的吸附能力优于对Cu²⁺的吸附.     

Synergetic effects of anodic-cathodic electrocatalysis for phenol degradation in the presence of iron(II)

A novel electrocatalysis method for phenol degradation was described using a β-PbO₂ anode modified with fluorine resin and a Ni–Cr–Ti alloy cathode. In case of air sparging at the cathodic zone, the techniques of anodic–cathodic electrocatalysis (ACEC) and ferrous ion catalyzed anodic–cathodic electrocatalysis (FACEC) in the presence of iron(II) were developed. Both of ACEC and FACEC were more effective than anodic electrocatalysis (AEC). The percentage of phenol eliminated by FACEC could increase by nearly 30% compared with that of AEC, and the current efficiency could reach to 70%. Important operating factors such as ferrous ion concentration, air-sparging rate and applied current were investigated and it was found that such beneficial effects could be achieved at a suitable current and ratio of the concentration of ferrous ion to the air sparged. The mechanism of phenol degradation is proposed to be the generation of hydroxyl radicals concerned with the two electrodes. Results also indicated that the process provided an efficient way to regenerate ferrous ion compared with the conventional Fenton's system.     

Investigation of the complexation of metal-ions by strong ligands in fresh and marine water

SCOPE: The detection and investigation of metal ions bound in strong complexes in natural waters is a difficult task, due to low concentration of the metal ions themselves, and also of the strong ligands, which, moreover, are often not of a well-defined composition. Here, a method is proposed for the investigation of the speciation of metal ions in natural waters. OBJECTIVE AND METHOD: It is based on the sorption of metal ions on strongly sorbing ion exchange resins, i.e. complexing resins. For this reason the method is called Resin Titration. It has been shown in previous investigations that the concentration of metal ion totally sorbed by a particular resin, and its reaction coefficient in the solution phase in the presence of the resin, can be determined from the sorption data using a simple relationship. Here, a data treatment (the Ruzic linearization method) is proposed for also determining the concentration of the ligands responsible for the complex in equilibrium with the resin. RESULTS: The method was applied to data obtained by Resin Titration of a freshwater and a seawater. Copper(II) and aluminium(III) were considered, using Chelex 100 as a titrant, due to its strong sorbing properties towards these metal ions. The results were: the total metal concentration in equilibrium with the resin, the side reaction coefficients, and the concentration of ligands. In all these cases the ligands forming very strong complexes were found to be at concentration lower than that of the metals. CONCLUSION: The Ruzic linearization method allows the determination of the concentration of the ligands forming very strong complexes in equilibrium with Chelex 100. The reaction coefficient was better determined by the calculation method previously proposed for RT. The ligands responsible for the strong complexes were found to be at low concentration, often lower than that of the metal ions considered. The metal in the original sample is partly bound to these ligands, since the complexes are very strong. Only a part of the metal is linked to weaker ligands, or free.     

硝基苯类废水的预处理技术研究

Fe(OH)2对硝基苯具有强烈的还原作用，短时间内可把硝基苯还原为苯胺。催化铁屑法处理硝基苯类废水，除了包括铁屑法处理废水的各种反应外，还能使硝基苯在其表面直接还原，且反应在弱碱性条件下效果较好。m(Fe)：m(Cu)为10：1，pH为9．5，废水硝基苯进水质量浓度为250mg／L，反应时间为30min，硝基苯的去除率达100％。     

不同功能区空气负离子的监测分析

监测了西宁地区不同功能区空气负离子状况，以公园游览区空气负离子浓度最高，平均３５８个／ｃｍ＾３；工业区最低，平均浓度２５９个／ｃｍ＾３。各功能区空气负离子浓度明显不同，Ｐ〈０．０１。用空气负离子浓度、空气离子单级系数和安培空气质量评价指数评价各功能区空气质量，从好到差依次为：公园游览区、生活居住区、商业交通繁忙区、工业区。３种评价指标结果相同，符合一般规律。     

关中典型城市及农村夏季PM2.5的化学组成对比

于2016年7~8月采集了陕西省西安市（城市）及蔺村（农村）夏季昼夜PM_2.5样品,分析其有机碳（OC）、元素碳（EC）和无机离子等化学组分的含量,探讨关中平原城市和农村地区PM_2.5的化学组成和来源的差异.结果表明,采样期间西安和蔺村的PM_2.5浓度分别为（49.7±22.8）和（62.6±14.2）μg/m³.西安PM_2.5中OC和EC的浓度[（6.5±2.5）μg/m³,（3.2±1.8）μg/m³]与蔺村[（6.8±1.8）μg/m³,（3.8±2.3）μg/m³]相当.西安OC/EC比值白天（2.6）高于夜晚（1.9）,蔺村反之（白天：1.6;夜晚：2.7）,主要是因为夜间城市地区重型卡车运输活动增强导致排放更多EC,而夜间农村地区人为活动较少导致EC排放显著降低.西安和蔺村无机离子总浓度分别为（20.2±14.6）和（30.1±10.5）μg/m³,占PM_2.5浓度的40.6%和47.6%.蔺村SO₄^2-的平均浓度高达19.0μg/m³,占PM_2.5浓度的30%以上,远高于西安（9.4μg/m³和18.9%）,主要与农村固体燃料（煤和生物质）使用有关.西安NO₃^-和Ca²⁺的浓度及其对PM_2.5的贡献、NO₃^-/SO₄^2-比值均明显大于蔺村,表明城市地区受机动车尾气和扬尘的影响更大.西安K⁺与Ca²⁺和Mg²⁺的相关性较强,而蔺村K⁺与EC的相关性显著强于西安,说明西安市区K⁺由粉尘源主导,而农村地区则主要来自生物质燃烧.     

沈阳市PM2.5离子成分对呼吸疾病门诊数影响研究

采用时间序列的半参数广义相加模型,在控制了长期趋势、"星期几效应"和气象因素等混杂因素的基础上,分析沈阳市大气污染物及PM_2.5中水溶性离子对呼吸系统疾病门诊就诊人数的影响,并按性别和年龄分层建模.结果表明：PM_2.5及其各离子成分与呼吸系统疾病门诊人数之间存在关联,并有明显的滞后效应.受冬季供暖燃煤排放影响,PM_2.5、NO₃^-和NH₄⁺呈显著关联,在滞后累积2d后风险最大.最佳滞后时间下,PM_2.5的浓度每增加10µg/m³,对应呼吸系统疾病日门诊就诊人数增加百分比（ER）为1.31%（95% CI：1.2%~1.43%）;离子成分SO₄^2-、NO₃^-、NH₄⁺、Cl^-、K⁺、Mg²⁺、Ca²⁺和Na⁺的浓度每增加1个4分位间距（IQR）,对应的呼吸系统疾病日门诊就诊人数增加百分比（ER）分别为3.22%（95% CI：2.81%~3.62%）、4.67%（95% CI：4.13%~5.22%）、5.41%（95% CI：4.49%~6.33%）、7.38%（95% CI：3.91%~10.96%）、0.14%（95% CI：-6.34%~7.07%）、7.64%（95% CI：-11.87%~31.47%）、3.57%（95% CI：-2.83%~10.39%）和0.46%（95% CI：-16.64%~21.06%）.PM_2.5、Cl^-、Mg²⁺、Ca²⁺和Na⁺对女性呼吸疾病门诊人数的影响比对男性的影响大.PM_2.5、SO₄^2-、Cl^-、Ca²⁺和Na⁺对≥65岁的老人门诊人数的影响比对15~65岁劳动年龄人群的影响大.表明不同性别、不同年龄由于生理结构和环境因素的不同而引起的差异不同.     

异养硝化-好氧反硝化混合菌对尿素的去除及重金属和盐度的影响

为探究异养硝化-好氧反硝化混合菌对尿素的去除效果,本文考察了混合菌(DM01+YH01+YH02)对尿素的去除特性,以及重金属和盐度对其去除率的影响.结果表明,当废水中尿素质量浓度为200.0 mg·L~(-1),碳源为柠檬酸三钠、 C/N为10、温度为30℃、 pH为7和转速为130 r·min~(-1)时,尿素在24 h可以得到高效降解,去除率为91.8%;重金属离子(Ni~(2+)、Cd~(2+)、Cu~(2+)和Zn~(2+))会降低混合菌对尿素的去除效果,影响能力的大小顺序为Cd~(2+)Cu~(2+)Ni~(2+)Zn~(2+),然而, Fe~(2+)(20.0 mg·L~(-1))会增强混合菌对尿素的去除效果;盐度(10.0 mg·L~(-1))会抑制混合菌株对于尿素的去除.