非贵金属催化电解无害化去除硝酸盐氮的反应机制

以Ti/Co-Fe-Cu为阴极,Ti/IrO2-RuO2为阳极组成无隔膜电解体系,对非贵金属催化电解无害化去除NO3--N的反应机制进行了实验研究和理论分析.结果表明,NO3--N阴极催化还原过程中,反应物、产物需要通过对流、扩散作用,克服电场力,迁移至目标位置;在非贵金属的催化作用下,NO3--N受还原剂攻击,逐步还原为NH4+-N;还原中间产物NO-N和NH-N直接生成N2-N的过程受抑制,产物NH4+-N难以被再度直接氧化.添加Cl-作为支持电解质,实验电解体系发生阳极析氯、Cl2水解、NH4+-N氯氧化等过程,可将NH4+-N氧化为N2-N,且出水中NO3--N、NO2--N、氯胺类浓度很低.NO3--N无害化去除的反应机制是NO3--N在催化作用下,经传质、吸脱附、电子交换过程,还原为NH4+-N,NH4+-N经由Cl-→Cl2→HOCl→Cl-电解氯氧化循环,最终生成N2-N.     

中国汞污染的来源、成因及控制技术路径分析

汞是一种能长期存在于环境且具有全球迁移性的污染物.汞污染防治是一个复杂的系统工程,涉及多部门、多领域、多行业,国家需要在政策、管理和技术等方面采取综合的战略措施推进汞污染防治.本文基于汞污染的环境和社会影响,分析了中国汞污染的来源、成因并评估了中国汞管理体系,结合中国参加全球汞公约谈判的特定背景,识别出汞污染防控的优先行业,包括汞的无意排放优先控制行业:燃煤、有色金属冶炼、汞矿开采和含汞废物处理;汞的有意使用优先控制行业:电石法聚氯乙烯生产,医疗产品、荧光灯和电池生产.本文也进一步提出了汞污染控制技术路径,包括构建汞风险管理和识别平台、完善汞管理体系、加强环境技术研发、推进绿色转型、保护环境和公众健康等.     

水体中磺胺甲恶唑和甲氧苄氨嘧啶的自然光降解

实验研究了磺胺甲恶唑和甲氧苄氨嘧啶连续暴露于自然光下72 h,在pH值为4.0、7.0、9.0水体中的光降解行为,同时考察了黑暗条件下对照样品在不同pH条件下的稳定性.实验表明,光强、光照时间、水体pH都直接影响到磺胺甲恶唑的去除率.在自然光照环境下,不同pH溶液中的磺胺甲恶唑均易发生光降解,而黑暗对照样品去除率较小.甲氧苄氨嘧啶则比较稳定,几乎未发生降解,但黑暗对照样品在pH值为4.0和7.0的溶液中,与起始浓度相比,去除率大于10%,这可能主要与该药物在不同pH溶液中的离子形态及光照过程中的温度波动有关.     

冻融作用对土壤磷素迁移转化影响研究进展

磷素是生态系统中重要的生源要素之一,其在土壤中的丰缺变化制约着植物的生长状况,寒冷地区土壤的结构与理化性质常年受到冻结和融化的周期性影响,而冻融作用又强烈的影响着土壤磷的迁移转化途径,磷的生物地球化学行为是生态系统初级生产力的决定因素之一。系统的归纳分析了近年来国内外关于土壤吸附作用、土壤含水率以及土壤生物对磷素迁移转化过程影响的研究报道,主要研究结论认为：（1）冻融循环导致土壤颗粒粒径变小以及铁铝化合物形态改变,进而影响了磷在冻融土壤上的吸附行为;（2）土壤水在冻融作用下的固液相转换改变了土壤浸提液中磷的含量,而土壤含水率的高低与磷在土壤中的汇聚和释放存在密切关系;（3）土壤微生物和植物体内的磷在冻融过程中成为土壤中有机磷的主要来源之一。众多研究结果显示,同一制约因素在冻融作用驱动下对土壤磷的影响效果各不相同,这是因为冻融过程中土壤成分、水分含量、冻融时间、循环次数、植被类型和微生物状况等条件共同影响着磷的迁移转化行为,众多相互关联的因子产生的综合效应导致磷在冻融土壤中的迁移转化行为各异。总结分析当前的研究成果,提出冻融作用对土壤磷的影响应在土壤景观尺度、研究方法和手段、预防和治理措施方面进行深入的研究和探索。     

Selective recovery of Cu, Zn, and Ni from acid mine drainage

In Korea, the heavy metal pollution from about 1,000 abandoned mines has been a serious environmental issue. Especially, the surface waters, groundwaters, and soils around mines have been contaminated by heavy metals originating from acid mine drainage (AMD) and mine tailings. So far, AMD was considered as a waste stream to be treated to prevent environmental pollutions; however, the stream contains mainly Fe and Al and valuable metals such as Ni, Zn, and Cu. In this study, Visual MINTEQ simulation was carried out to investigate the speciation of heavy metals as functions of pH and neutralizing agents. Based on the simulation, selective pH values were determined to form hydroxide or carbonate precipitates of Cu, Zn, and Ni. Experiments based on the simulation results show that the recovery yield of Zn and Cu were 91 and 94 %, respectively, in a binary mixture of Cu and Zn, while 95 % of Cu and 94 % of Ni were recovered in a binary mixture of Cu and Ni. However, the recovery yield and purity of Zn and Ni were very low because of similar characteristics of Zn and Ni. Therefore, the mixture of Cu and Zn or Cu and Ni could be recovered by selective precipitation via pH adjustment; however, it is impossible to recover selectively Zn and Ni in the mixture of them.     

Removal of sulfadiazine from aqueous solution on kaolinite

The adsorption of sulfadiazine onto kaolinite clay as an alternative adsorbent was examined in aqueous solution, hnpacts of the contact time, pH, temperature, ionic strength and coexistent surfactants on the adsorption process were evaluated. The pH significantly influenced the adsorption process, with adsorption being promoted at lower pH due to the cation exchange mechanism. Decreasing ionic strength in the solution was favorable for adsorption, and the addition of cationic and anionic surfactants had negative effects on the adsorption capacity of sulfadiazine on kaolinite. Kinetic experiments showed that the adsorption followed the pseudo-second-order model. The equilibrium adsorption was well described by both Freundlich and Dubinin-Radushkevich （DR） models. According to the DR model, the adsorption mechanism was determined by cationic exchange and weak physical forces. The thermodynamic study showed that sulfadiazine adsorption onto kaolinite was a sponta- neous and endothermic reaction.     

Regression-type estimators for adaptive two-stage sequential sampling

Adaptive two-stage sequential sampling (ATSSS) design was developed to observe more rare units and gain higher efficiency, in the sense of having a smaller variance estimator, than conventional sampling designs with equal effort for rare and spatially cluster populations. For certain rare populations, incorporating auxiliary variables into a sampling design can further improve the observation of rare units and increase efficiency. In this article, we develop regression-type estimators for ATSSS so that auxiliary variables can be incorporated into the ATSSS design when warranted. Simulation studies on two populations show that the regression-type estimators can significantly increase the efficiency of ATSSS and the detection of more rare units as compared to conventional sampling counterparts. Simulation of sampling of desert shrubs in Inner Mongolia (one of the two populations studied) showed that by incorporating a GIS auxiliary variable into ATSSS with the regression estimators resulted in a gain in efficiency over ATSSS without the auxiliary variable. Further, we found that the use of the GIS auxiliary variable in a conventional two-stage design with a regression estimator did not show a gain in efficiency.     

Geochemistry and health risk assessment of arsenic exposure to street dust in the zinc smelting district, Northeast China

The aim of this study was to investigate arsenic (As) accumulation in street dust and health risk of population. The investigation concentrated on: a. pollution levels of As in street dust; b. spatial distribution of As in street dust; c. physicochemical properties analysis of street dust; and d. assessment of population health risk due to As exposure to street dust. As concentration in street dust ranged from 3.33 to 185.1?mg?kg^?1, with a mean of 33.10?mg?kg^?1, which was higher than the background value of Liaoning soil. As contamination level of the area closing to Huludao Zinc Plant (HZP) was highest. Spatial variation showed that the pollution center was close to HZP, formed radial distribution pattern and extended to the northeast and southwest of HZP. The pH and organic matter of street dust were both higher than the background values of soil in Liaoning. There was significantly negative correlation between As concentration and the pH. The mass percentages of particles 180?C100,?<100?C75,?<75?C63, and?<63???m were 29.8, 3.7, 21.3, and 4.2?%, respectively. The highest of As concentration was found in the smallest particle size (<63???m). As loadings in the particles of grain size 180?C100 and?<75?C63???m were higher than other particle fractions. Results of the risk assessment indicated that the highest risk was associated with the ingestion of street dust particles. Health risk for different use scenarios to human decreased in the order of HZP?>?Industrial district?>?School?>?Commercial center?>?Residential area. Around HZP, Hazard Index (HI) for children and cancer risk of As by street dust exposure exceeded the acceptable values. It indicated that there was a potential adverse effect on children health by As exposure to the street dust of Huludao.     

Genotype variations in accumulation of cadmium and lead in celery (Apium graveolens L.) and screening for low Cd and Pb accumulative cultivars

To help reduce risks of heavy metal pollution, two pot experiments were conducted to investigate the variations, transfer potential, and stability of Cadmium (Cd) and Lead (Pb) accumulations in celery (Apium graveolens L.) and to screen for low Cd and Pb accumulative cultivars. The maximum differences in shoot Cd concentration were 4.7-fold under low-Cd exposure and 3.3-fold under high-Cd exposure. These genotype variations in Cd accumulation are sufficiently large to help reduce Cd contamination risk in soil by using the Low-Cd-Accumulative genotypes. Cd accumulation of the Low-Cd-Accumulative genotypes is significantly positive correlated with Pb accumulation. Evidence obtained proves that Cd and Pb accumulations in celery are stable and genotype-dependent at the cultivar level. The presence of high-Pb contamination in soil promoted Cd accumulation in shoots of celery. Celery is considered a species with high risks in Cd pollution and low risks in Pb pollution. Among the tested cultivars, cv. Shuanggangkangbing (SGKB) had the lowest shoot Cd and Pb accumulating abilities, and thus is the most important material for breeding of pollution-safe cultivars (PSCs) to minimize Cd and Pb accumulations in celery.