排序方式: 共有4条查询结果,搜索用时 9 毫秒
1
1.
Kelly P. Grogan Robert A. Fjeld Timothy A. DeVol 《Journal of environmental radioactivity》2010,101(10):847-853
The effect of the spatial variability of Kd on calculations of contaminant travel time in the vadose zone was determined. Depth discrete measurements of Kd were made for a suite of radionuclides (109Cd, 57Co, 60Co, 85Sr, 137Cs, and 88Y) utilizing a sediment core from the E-Area at the Savannah River Site. The Kd’s were ordered as 85Sr2+ < 137Cs+ < 109Cd2+ < 57Co2+ = 60Co2+ << 88Y3+ and the values generally fell below or near the lowest quartile of values reported in the literature. Correlations were generally weak between soil properties and Kd values. Most importantly, all of the Kd distributions could be reasonably approximated as log-normal. Deterministic and stochastic calculations of contaminant travel time to the water table were made. The deterministic calculations were based on each of three conceptual models of the vadose zone: complete stratification (17 strata, each with a different Kd), two strata (two sections of the vadose zone, each characterized by a single, average Kd), and unstratified (a single zone with an average Kd). Stochastic calculations were based on log-normal fits to the Kd data. The two strata model generally yielded travel times 2× greater than those in the completely stratified model. The unstratified model yielded travel times that were between 3 and 5 times greater than the completely stratified model. The stochastic mean travel times were comparable to those of the two strata model. 相似文献
2.
T. Sekito Y. Dote K. Onoue H. Sakanakura K. Nakamura 《Waste management (New York, N.Y.)》2014,34(9):1637-1643
Thermal treatment of municipal solid waste (MSW) has become a common practice in waste volume reduction and resource recovery. For the utilization of molten slag for construction materials and metal recovery, it is important to understand the behavior of heavy metals in the melting process. In this study, the correlation between the contents of elements in feed materials and MSW molten slag and their distributions in the ash melting process, including metal residues, are investigated. The hazardous metal contents in the molten slag were significantly related to the contents of metals in the feed materials. Therefore, the separation of products containing these metals in waste materials could be an effective means of producing environmentally safe molten slag with a low hazardous metals content. The distribution ratios of elements in the ash melting process were also determined. The elements Zn and Pb were found to have a distribution ratio of over 60% in fly ash from the melting furnace and the contents of these metals were also high; therefore, Zn and Pb could be potential target metals for recycling from fly ash from the melting furnace. Meanwhile, Cu, Ni, Mo, Sn, and Sb were found to have distribution ratios of over 60% in the metal residue. Therefore, metal residue could be a good resource for these metals, as the contents of Cu, Ni, Mo, Sn, and Sb in metal residue are higher than those in other output materials. 相似文献
3.
Kenneth M. Portier 《Environmental Forensics》2013,14(2):155-160
Conceptual and statistical issues surrounding the estimation of a background concentration distribution for arsenic are reviewed. How background area is defined and samples collected are shown to impact the shape and location of the probability density function that in turn affects the estimation and precision of associated distributional parameters. The overall background concentration distribution is conceptualized as a mixture of a natural background distribution, an anthropogenic background distribution and a distribution designed to accommodate the potential for contamination site samples being included into the background sample set. This concept is extended to a discussion of issues surrounding estimation of natural and anthropogenic background distributions for larger geographic areas. Finally, the mixture model is formally defined and statistical approaches to estimating its parameters discussed. 相似文献
4.
阐述了利用物种敏感性分布进行生态风险评价的原理与方法,构建了淡水生物对8种常见多环芳烃(蒽、芘、苯并[a]芘、荧蒽、菲、芴、苊、萘)的物种敏感性分布;在此基础上,计算了这8种多环芳烃对不同类别生物的HC5(Hazardous Concentration for5%of the species)阈值,预测了不同浓度多环芳烃对生物的潜在影响比例PAF(Potentialaffected fraction),比较了不同类别生物对多环芳烃的敏感性,以及多环芳烃对淡水生物的生态风险,并对以红枫湖、黄河、白洋淀为代表的中国典型水体中的多环芳烃进行了联合生态风险评价.结果表明:1)当污染物浓度达到10μg·L-1时,半数多环芳烃的风险超过了5%的阈值;当浓度上升到100μg·L-1时,只有萘和苊没有显著生态风险.2)对于芴和荧蒽,无脊椎动物更为敏感;而对于萘,则脊椎动物更敏感.3)通过HC5值比较和SSD曲线图比较,可得出污染物对所有物种的生态风险大小依次为:蒽>芘>苯并[a]芘>荧蒽>菲>芴>苊>萘;对脊椎动物风险大小为:荧蒽>苊>萘;对无脊椎动物:蒽>芘>荧蒽>菲>芴>苊>萘.4)多环芳烃在红枫湖、黄河、小白洋淀的生态风险均较低,急性联合msPAF(multisubstance PAF)值小于1%. 相似文献
1