Heavy Metals in the Bed and Suspended Sediments of Anyang River, Korea: Implications for Water Quality

The objective of this study is to compare Anyang River bed sediments with water chemical composition and to assess the anthropogenic chemical inputs into the river system. Eight sampling locations were chosen along the river channel. Bed and suspended river sediments and water samples were collected, and analyzed for their chemical and physical composition. Data revealed that trace element concentrations in the river water were generally below world average, except for As, Mn, Ni and Cr. Among the three phases: water, bed and suspended sediment, more than 99% of the trace elements was associated with the bed sediment. Concentrations of trace elements in the sediment were a function a particle size distribution and organic content. The calculated degrees of enrichment based on the least influenced sample (ASD 1) indicated the river sediments were enriched with respect to background. The enrichment factors for Pb, Zn and As were relatively lower than for Cr, Co, Ni and Zn. The difference in the enrichment seems to reflect the human activities influence in the basin, and specially for Cd. Speciation of the elements in the five different chemical forms in the sediment by sequential extraction indicated that the reducible fraction was predominant for Fe, Zinc and Cu showed an irregular variation among the different fractions; whereas, Cd and Pb were more regular. Zinc and Cu highly existed mostly in exchangeable forms. Acid soluble and reducible forms were also important for most metals. The speciation implies that the metals associated with the sediment are subject to release into water bodies as goechemical variables (pH and Eh) change. Currently, the introduced metals are deposited near the source area and are mostly associated with the sediment, implying that the river bed sediment acts mainly as a sink, rather than a pool. The accumulated and enriched toxic trace elements can pose a potential pollution of river water.     

Extraction capacity and the optimal order of extraction

The least-cost-first extraction rule for deposits with different extraction costs previously has been shown to be invalid in general equilibrium. This paper demonstrates that this rule also does not hold in partial equilibrium when extraction capacity is limited. Necessary and sufficient conditions for several surprising extraction orders are presented. If extraction from a high-cost resource is constrained, it may be optimal to begin extraction from a high-cost deposit (or backstop) strictly before extracting from a lower-cost deposit. If extraction from a low-cost resource is limited, it may be optimal to exhaust a high-cost deposit strictly before the low-cost deposit is exhausted or to abandon extraction temporarily from a high-cost deposit and then to exhaust it later. The analysis demonstrates how extraction constraints affect the order of extraction and shows that certain cost reversals are caused by limited extraction capacity rather than by the general equilibrium definition of extraction costs.     

Set-up costs and the existence of competitive equilibrium when extraction capacity is limited

Although set-up costs are prevalent and substantial in natural resource extraction, it is known that a Walrasian competitive equilibrium cannot exist in simple extraction models with set-up costs. This paper demonstrates that this result is sensitive to the assumption of unlimited extraction capacity and derives sufficient conditions for existence. An equilibrium exists if extraction is limited such that each firm earns sufficient surplus to cover its set-up costs or if firms choose extraction capacity subject to non-increasing returns. The resulting competitive equilibrium price either grows at the rate of interest when total extraction is below industry capacity or is constant when industry capacity is fully utilized. In the equilibrium, identical deposits are opened simultaneously, and set-up costs for new deposits are incurred when the industry has excess capacity rather than when capacity is fully utilized.     

PM10中重金属的提取方法及生物可利用性研究

分别运用模拟生物提取法与化学连续提取法对PM10标准参考样品城市源（NIST-1648A）和工业源（BCR-038）中6种重金属（Cd、Co、Cu、Mn、Ni、Pb）质量分数及赋存形态进行分析。其目标是验证2种提取大气固体颗粒物中重金属方法的有效性,并比较2种方法的优缺点,为将来提取PM10中重金属的方法选取提供依据。模拟生物提取法中,使用Gamble溶液模拟人体肺液对 PM10样品进行溶解,实验方法操作较为简单快捷;化学连续提取法中,不同溶解步骤则可确定重金属的不同赋存形态。在需要快速确定 PM10中某种重金属总量时,应优先使用模拟生物提取法。化学连续提取结果表明,城市源PM10中重金属赋存形态分布没有统一规律,工业源PM10中重金属多以残渣态存在。通过对2种来源的PM10样品中重金属生物可利用性分析,城市源的大气颗粒物对人体的毒性更大,其中标准参考样品城市源 PM10中生物可利用性较高的是重金属Cd（BIBio为61.65%±3.45%;BISE为69.02%±3.82%）和Cu,最低的是重金属Co和Pb;标准参考样品工业源PM10中重金属的生物可利用性最高的是Cd（BIBio为27.66%±1.52%;BISE为15.05%±2.13%）,而Ni、Co和Pb的生物可利用性较低。     

重金属Cr(Ⅵ)、Pb及Cu胁迫对双齿围沙蚕体腔细胞的DNA损伤

为探讨重金属Cr(Ⅵ)、Pb以及Cu对沙蚕体腔细胞DNA的毒性效应,以双齿围沙蚕为受试动物,重金属按不同剂量水平,Cr(Ⅵ):10、100和200 mg· L-1,Pb:5、50和100 mg·L-1,Cu:1、10和20 mg· L-1,分别胁迫沙蚕24 h,以不加任何重金属离子的海水为对照,采用单细胞凝胶电泳技术,检测其体腔细胞DNA损伤程度.结果表明,与空白对照组相比,3种重金属离子的各浓度组都能引起沙蚕体腔细胞DNA损伤,且3种重金属胁迫浓度与细胞DNA损伤程度之间存在显著的剂量-效应关系.双齿围沙蚕可以作为单细胞凝胶电泳的实验材料用于重金属所致环境污染的生物监测指示生物.     

含TOA微胶囊对Cr2O7^2—萃取的研究

用乙基纤维素作膜材将三辛胺（简称ＴＯＡ）微胶囊化，用于萃取酸性水溶液中的Ｃｒ２Ｏ７＾２－离子。通过搅拌法萃取实验表明，ＴＯＡ被微胶囊化后对铬离子仍具有较高的萃取速度，实验测定渗透系数为６．７８×１０＾－６ｍ／ｍｉｎ，并能有效地防止乳化现象。将微胶囊制备成填充柱对Ｃｒ２Ｏ７＾２－进行萃取实验。对外相水的流速、微胶囊粒径、柱的重复使用次数与萃取容量的关系进行了研究。当粒径为１００－２００μｍ，流速为３     

超高浓度萘系磺酸染料中间体废液资源化

本文介绍了胺盐萃取回收率液中萘磺酸染料中间体的方法，回收率达９５％以上，回收浓缩液工艺套用，１０ｔ／ｄ废液量的资源化年净效益达５８０万元，投资费用两个月即可全部收回，采用Ｌａｎｇｍｕｉｒ等温方程描述体系中萃取剂用量，待萃物含量和萃取率的关系，使工艺参数的确立和工程设计完全处理指导之下。     

从顽拗植物荔枝中提取基因组DNA技术的研究

针对荔枝体内含有大量影响ＤＮＡ提取质量的多酚等次生代谢物质的特点,在常规ＳＤＳ和ＣＴＡＢ提取方法的基础上做了技术改进,即在核裂解之间先破碎细胞,将存在于细胞质中次生物质除去后再裂解细胞核,同时加入活性炭以吸咐杂质反复清洗几次后加入核型解液释放基因组ＤＮＡ,纯化之后经外观和电泳检测,以及Ｄ２６０ｎｍ和Ｄ２８０ｎｍ比值的测定,限制性内切酶反应,ＰＣＲ扩增的结果表明,用改进方法提取的ＤＮＡ无论在纯度上还     

Kinetic extractions to assess mobilization of Zn, Pb, Cu, and Cd in a metal-contaminated soil: EDTA vs. citrate

Kinetic EDTA and citrate extractions were used to mimic metal mobilization in a soil contaminated by metallurgical fallout. Modeling of metal removal rates vs. time distinguished two metal pools: readily labile (QM1) and less labile (QM2). In citrate extractions, total extractability (QM1+QM2) of Zn and Cd was proportionally higher than for Pb and Cu. Proportions of Pb and Cu extracted with EDTA were three times higher than when using citrate. We observed similar QM1/QM2 ratios for Zn and Cu regardless of the extractant, suggesting comparable binding energies to soil constituents. However, for Pb and Cd, more heterogeneous binding energies were hypothesized to explain different kinetic extraction behaviors. Proportions of citrate-labile metals were found consistent with their short-term, in-situ mobility assessed in the studied soil, i.e., metal amount released in the soil solution or extracted by cultivated plants. Kinetic EDTA extractions were hypothesized to be more predictive for long-term metal migration with depth.     

Characterization of distribution of pesticide residues in crop units

The characteristic features of distribution of pesticide residues in crop units and single sample increments were studied based on more than 19,000 residue concentrations measured in root vegetables, leafy vegetables, small-, medium- and large-size fruits representing 20 different crops and 46 pesticides. Log-normal, gamma and Weibull distributions were found to provide the best fit for the relative frequency distributions of individual residue data sets. The overall best fit was provided by lognormal distribution. The relative standard deviation of residues (CV) in various crops ranged from 15–170%. The 100–120 residue values being in one data set was too small to identify potential effects of various factors such as the chemical and physical properties of pesticides and the nature of crops. Therefore, the average of CV values, obtained from individual data sets, were calculated and considered to be the best estimate for the likely variability of unit crop residues for treated field (CV = 0.8) and market samples (CV = 1.1), respectively. The larger variation of residues in market samples was attributed to the potential mixing of lots and varying proportion of non-detects. The expectable average variability of residues in composited samples can be calculated from the typical values taking into account the sample size.