Heavy Metals Fractionation in Ganga River Sediments, India

The Ganga River is the largest river in India which, originates in the Himalayas and along with the Brahmaputra River, another Himalayan river, transports enormous amounts of sediments from the Indian sub-continent to the Bay of Bengal. Because of the important role of river sediments in the biogeochemical cycling of elements, the Ganga river sediments, collected from its origin to the down stretches, were studied in the present context, to assess the heavy metals associated with different chemical fractions of sediments. The fractionation of metals were studied in the sediments using SM&T protocol for the extraction of heavy metals and geo-accumulation index (GAI) (Muller, Schwermetalle in den sedimenten des rheins – Veranderungen seit. Umschau, 79, 778–783, 1979) and Metal Enrichment Factor (MEF) in different fractions were calculated. As with many river systems, residual fractions constitute more than 60% of total metals, except Zn, Cu and Cr. However, the reducible and organic and sulfide components also act as major sinks for metals in the down stretches of the river, which is supported by the high GAI and MEF values. The GAI values range between 4 and 5 and MEF exceed more than 20 for almost all the locations in the downstream locations indicating to the addition of metals through urban and industrial effluents, as compared to the low metals concentrations with less GAI and MEF in the pristine river sediments from the rivers in Himalayas.     

PRB技术对PCBs及重金属污染地下水的试验研究

可渗透反应墙(Permeable Reactive Barrier PRB)技术是原位修复污染土壤及地下水的新型技术。试验以多氯联苯(PCBs)及重金属为靶污染物,设计3个PRB反应装置:柱Ⅰ、柱Ⅱ、柱Ⅲ,分别以还原铁粉、废料生铁、废料生铁与活性炭的混合物为反应介质,对PRB技术治理PCBs及重金属污染的地下水的可行性进行试验研究。试验结果表明:进入稳定期,柱Ⅰ、柱Ⅱ、柱Ⅲ对PCBs的去除效率分别为98%,97%,96%;对重金属(Cr、Cd、Pb、As)的去除效率均在97%以上。通过各柱处理,出水水质均达到地下水水质Ⅲ标准。说明PRB技术治理PCBs及重金属污染的土壤及地下水是可行的。     

Environmental investigation of bio-modification of steel slag through microbially induced carbonate precipitation

Steel slag (SS) is one of byproduct of steel manufacture industry. The environmental concerns of SS may limit their re-use in different applications. The goal of this study was to investigate the leaching behavior of metals from SS before and after treated by microbially induced carbonate precipitation (MICP). Toxicity characteristic leaching procedure, synthetic precipitation leaching procedure and water leaching tests were performed to evaluate the leaching behavior of major elements (Fe, Mg and Ca) and trace elements (Ba, Cu and Mn) in three scenarios. The concentrations of leaching metals increased with the content of SS. After it reached the peak concentration, the leaching concentration decreased with the content of SS. The leachability of all elements concerned in this study was below 0.5%. The carbonate generated from the MICP process contributed to the low leachability of metals. After bio-modified by MICP process, the leaching concentrations of Ba from TCLP, SPLP and WLT tests were below 2.0 mg/L, which was the limit in drinking water regulated by U.S. EPA. The concentrations of Cu leached out from MICP-treated SS-sand samples were below 1.3 mg/L which is the limit regulated by national secondary drinking water. Compared with the regulations of U.S.EPA and Mississippi Department of Environment Quality (MDEQ), MICP-treated samples were classified as non-hazardous materials with respects to the leaching of metals. Meanwhile, maximum contaminant limits regulated by U.S.EPA states that MICP-treated SS are eco-friendly materials that can be reused as construction materials.     

Long memory and chaotic models of prices on the London Metal Exchange

Many financial time series exhibit irregular behaviour. Economic theory suggests that this irregular behaviour might be due to the existence of nonlinear dependence in the markets. Thus, economic time series are governed by nonlinear dynamics.The purpose of this paper is to investigate price behaviour in the London Metal Exchange market. Thus, this study will test the two most attractive nonlinear models—long memory and chaos—on six metal commodities to ascertain which model is consistent with the observed metal price nonlinear dynamics.Application of long memory and chaos analysis provides new approaches for assessing the behaviour of metal prices. We identified, in tin, a case of chaos. Our empirical results in the case of aluminium support the long memory hypothesis. A short memory model explains the underlying processes of the nickel and lead returns series, while zinc returns reflect an anti-persistent process. To our knowledge, this is one of the first attempts to apply long memory and chaos analysis in the evaluation of the behaviour of metal prices.     

Modelling the closure-related geochemical evolution of groundwater at a former uranium mine

A newly developed reactive transport model was used to evaluate the potential effects of mine closure on the geochemical evolution in the aquifer downgradient from a mine site. The simulations were conducted for the K?nigstein uranium mine located in Saxony, Germany. During decades of operation, uranium at the former mine site had been extracted by in situ acid leaching of the ore underground, while the mine was maintained in a dewatered condition. One option for decommissioning is to allow the groundwater level to rise to its natural level, flooding the mine workings. As a result, pore water containing high concentrations of dissolved metals, radionuclides, and sulfate may be released. Additional contamination may arise due to the dissolution of minerals contained in the aquifer downgradient of the mine. On the other hand, dissolved metals may be attenuated by reactions within the aquifer. The geochemical processes and interactions involved are highly non-linear and their impact on the quality of the groundwater and surface water downstream of the mine is not always intuitive. The multicomponent reactive transport model MIN3P, which can describe mineral dissolution-precipitation reactions, aqueous complexation, and oxidation-reduction reactions, is shown to be a powerful tool for investigating these processes. The predictive capabilities of the model are, however, limited by the availability of key geochemical parameters such as the presence and quantities of primary and secondary mineral phases. Under these conditions, the model can provide valuable insight by means of sensitivity analyses.     

Toxiwasp∗

TOXIWASP combines most of the kinetic structure of EXAMS 2 with the transport capabilities of WASP (Water Analysis Simulation Program). TOXIWASP uses variable chemical degradation rates from chemical properties and the environmental conditions of the aquatic ecosystem. These rates are reduced from pseudo first‐order rates to first‐order rates including the processes hydrolysis, biotransfor‐mation, phototransformation, oxidation, and volatilisation. Assuming ultimate local equilibrium, and using a chemical dependent partition coefficient as well as spatially varying environmental carbon fractions, sorption onto sediments and biomass is calculated. Environmental alternations could be specified in any time scale by providing monitoring data.

TOXIWASP generates total sediment and chemical concentrations every time step in every segment, including surface water, subsurface water, surface bed and subsurface bed. Advection, dispersion, mass loading, sedimentation, and scour affect sediment concentration in the water column and in the bed sediment concentrations depend on burial and erosion. In addition chemical concentrations are influenced by degradation, sediment‐water dispersion, and percolation. Lateral transport of chemical within the bed is neglected and transport data are not calculated in the program. TOXIWASP is developed to model stratified lakes, reservoirs, large rivers, estuaries, and coastal waters. As for EXAMS 2 (Burns et al.²) the TOXIWASP user has to accept the model's inability to connect the water body to a chemically contaminated atmosphere.     

Release of heavy metals from a river sediment by a synthetic polymer and an agricultural residue: Variation with time of contact

A comparative study of the solubilization of Fe, Zn, Cu and Mn from a river sediment by solutions of a residue from agricultural industry and a synthetic polymer (SP) is presented. The agricultural residue shows a higher mobilising effect than the SP. The presence of the latter causes in most cases an initial solubilization and a readsorption afterwards, with a tendency to an equilibrium for long reaction times. The effect of the agricultural residue is not uniform for all metals studied, with a significant formation of metal‐organic complexes for Cu and Zn. In the presence of the SP, the proportion of complexes formed is significant only for Zn.     

“生物有效性测量”与“全沉积物毒性识别评估(TIE)”联用有效识别出沉积物中主要致毒污染物

沉积物中污染物种类繁多,准确判断其中产生生物毒性的主要来源是个难点,本文作者先采用TIE法初步判断出主要致毒污染物为有机物和重金属(毒性描述阶段(相I)),传统的毒性单位分析结果显示Cr、Cu、Ni、Pb和Zn主要致毒重金属,而为氯氰菊酯、氯氟氰菊酯、溴氰菊酯和氟虫腈为主要致毒有机物中(毒性鉴定阶段(相II))。采用4步分级提取法和Tenax提取法分析了重金属和有机物的生物有效性。生物有效性毒性单位分析更加准确地锁定了毒性主要贡献重金属为Zn、Ni和Pb,毒性主要贡献有机物为氯氰菊酯、氯氟氰菊酯和氟虫腈。沉积物的稀释降低了重金属的毒性并使其毒性贡献鉴定变得复杂,生物有效性测量可以有效地提高TIE结果的准确性。
精选自Xiaoyi Yi, Huizhen Li, Ping Ma and Jing You. Identifying the causes of sediment-associated toxicity in urban waterways in South China: Incorporating bioavailabillity-based measurements into whole-sediment toxicity identification evaluation. Environmental Toxicology and Chemistry: Volume 34, Issue 8, pages 1744–1750, August 2015. DOI: 10.1002/etc.2970
详情请见http://onlinelibrary.wiley.com/doi/10.1002/etc.2970/full     

Trace metal dynamics in an industrialized Brazilian river: A combined application of Zn isotopes, geochemical partitioning, and multivariate statistics

The Paraiba do Sul (PSR) and Guandu Rivers (GR) water diversion system (120 km long) is located in the main industrial pole of Brazil and supplies drinking water for 9.4 million people in the metropolitan region of Rio de Janeiro. This study aims to discern the trace metals dynamics in this complex aquatic system. We used a combined approach of geochemical tools such as geochemical partitioning, Zn isotopes signatures, and multivariate statistics. Zinc and Pb concentrations in Suspended Particulate Matter (SPM) and sediments were considerably higher in some sites. The sediment partition of As, Cr, and Cu revealed the residual fraction (F4) as the main fraction for these elements, indicating low mobility. Zinc and Pb were mostly associated with the exchangeable/carbonate (F1) and the reducible (F2) fractions, respectively, implying a higher susceptibility of these elements to being released from sediments. Zinc isotopic compositions of sediments and SPM fell in a binary mixing source process between lithogenic (δ^66/64Zn_JMC ≈ + 0.30‰) and anthropogenic (δ^66/64Zn_JMC ≈ + 0.15‰) end members. The lighter δ^66/64Zn_JMC values accompanied by high Zn concentrations in exchangeable/carbonate fraction (ZnF1) enable the tracking of Zn anthropogenic sources in the studied rivers. Overall, the results indicated that Hg, Pb, and Zn had a dominant anthropogenic origin linked to the industrial activities, while As, Cr, and Cu were mainly associated with lithogenic sources. This work demonstrates how integrating geochemical tools is valuable for assessing geochemical processes and mixing source effects in anthropized river watersheds.     

Determination of the applicability of CERCLA's petroleum exclusion at contaminated sites – focus on metals

Areas impacted by petroleum refining and handling operations may become subject to CERCLA enforcement. Because of CERCLA's petroleum exclusion clause, determining whether contamination in a CERCLA Site originated from petroleum products or hazardous wastes becomes important. Because certain metals are typically enriched in wastes relative to petroleum products and background soils, knowledge of metal contents in these potential end member metal sources is an important step towards contaminant source identification in soils and sediments. In LNAPL plumes, metal content, particularly lead, may be claimed to be the result of wastes mishandling and not due only to the presence of leaded gasoline in the plume. Analysis of the percent gasoline in the plume and accounting for weathering are steps to determining whether the lead content in an LNAPL plume is within the historical lead concentration ranges in gasolines. In addition to metals analyses, understanding of operational parameters such as the history of petroleum refining and handling operations, leaks, spills, and cleanup activities are needed for successful conclusion of the applicability of the petroleum exclusion.