Extraction of labile metals from solid media by dilute hydrochloric acid

Extraction of labile metals from solid media is environmentally more meaningful than a total digestion. A variety of reagents have been introduced in the literature, but dilute HCl has received the greatest attention. We compare metal concentrations liberated by a dilute HCl leach with the sum of the 3-step optimized (standardized) BCR sequential extraction procedure. This is the first study to compare these procedures over a range of grain sizes. Road-deposited sediments from 10 sites in Honolulu were fractionated into six grain size classes. Aliquots of individual fractions were digested with dilute HCl, the 3-step BCR procedure (‘labile’), and a 4-acid (total) procedure. Results indicated that the weighted labile concentrations of Al, Cu, Fe, Mn, Ni, Pb and Zn were statistically greater than those from the dilute HCl leach. However, regression analysis indicated strong statistically significant relationships between the two partial extraction procedures for all metals. On a whole-sample basis, the toxicity classifications for anthropogenic-enhanced metals (Cu, Pb and Zn) were similar between extractions. Taken together, results suggest that the application of dilute HCl to solid media provides a rapid, cost-effective, and environmentally meaningful approach for contaminant monitoring.     

重金属在灰尘及其水溶解相中的分布特征及其影响因素——以南昌市为例

以南昌市为例,分析了不同功能区和公交车站降尘及其水溶解相中重金属浓度的空间分布特征.同时结合多种分析技术,探究降尘及其水溶解相理化性质对降尘重金属在固-液相中分配行为的影响.结果表明:南昌市降尘及其水溶解相中总重金属浓度范围分别为310~4393μg/g和2.17~55.62μg/g.两相中重金属的空间分布可能受到车流量较大的交通干线和汽车轮胎零件磨损的影响,其高值区主要分布于南昌县政府、部分高校以及客运站、驾校附近.风险评价的结果表明,南昌市降尘重金属综合生态风险总体处于中等水平,且Cr和As具有一定的致癌风险.溶解态中重金属所占百分比(K值)的排序为:Ni>Mn>Cu>As>Cr>Zn>Pb,K值的空间分布高值区多分布于人口密集地区、交通道路以及汽车客运站附近.大部分降尘及其水溶解相的理化性质与Pb、As、Mn具有显著正相关关系,降尘溶解相中较高的溶解性有机碳和腐殖化程度对重金属向溶解相中的释放具有重要作用.     

Atmospheric fate of non-volatile and ionizable compounds

A modified version of the Multimedia Activity Model for Ionics MAMI, including two-layered atmosphere, air-water interface partitioning, intermittent rainfall and variable cloud coverage was developed to simulate the atmospheric fate of ten low volatility or ionizable organic chemicals. Probabilistic simulations describing the uncertainty of substance and environmental input properties were run to evaluate the impact of atmospheric parameters, ionization and air-water (or air-ice) interface enrichment.The rate of degradation and the concentration of OH radicals, the duration of dry and wet periods, and the parameters describing air-water partitioning (K_AW and temperature) and ionization (pK_a and pH) are the key parameters determining the potential for long range transport. Wet deposition is an important removal process, but its efficiency is limited, primarily by the duration of the dry period between precipitation events.Given the underlying model assumptions, the presence of clouds contributes to the higher persistence in the troposphere because of the capacity of cloud water to accumulate and transport non-volatile (e.g. 2,4-D) and surface-active chemicals (e.g. PFOA). This limits the efficiency of wet deposition from the troposphere enhancing long-range transport.     

Effect of Widespread Agricultural Chemical Use on Butterfly Diversity across Turkish Provinces

Although agricultural intensification is thought to pose a significant threat to species, little is known about its role in driving biodiversity loss at regional scales. I assessed the effects of a major component of agricultural intensification, agricultural chemical use, and land‐cover and climatic variables on butterfly diversity across 81 provinces in Turkey, where agriculture is practiced extensively but with varying degrees of intensity. I determined butterfly species presence in each province from data on known butterfly distributions and calculated agricultural chemical use as the proportion of agricultural households that use chemical fertilizers and pesticides. I used constrained correspondence analyses and regression‐based multimodel inference to determine the effect of environmental variables on species composition and richness, respectively. The variation in butterfly species composition across the provinces was largely explained (78%) by the combination of agricultural chemical use, particularly pesticides, and climatic and land‐cover variables. Although overall butterfly richness was primarily explained by climatic and land‐cover variables, such as the area of natural vegetation cover, threatened butterfly richness and the relative number of threatened butterfly species decreased substantially as the proportion of agricultural households using pesticides increased. These findings suggest that widespread use of agricultural chemicals, or other components of agricultural intensification that may be collinear with pesticide use, pose an imminent threat to the biodiversity of Turkey. Accordingly, policies that mitigate agricultural intensification and promote low‐input farming practices are crucial for protecting threatened species from extinction in rapidly industrializing nations such as Turkey. Efectos del Uso Extensivo de Agroquímicos sobre la Diversidad de Mariposas en Provincias Turcas     

Seasonal and particle size-dependent variations in gas/particle partitioning of PCDD/Fs

This study monitored particle size-dependent variations in atmospheric polychlorinated dibenzo-p-dioxins and dibenzofurans (PCDD/Fs). Two gas/particle partitioning models, the subcooled liquid vapor pressure (P(L)(0)) and the octanol-air partition coefficient (K(OA)) model, were applied to each particle sizes. The regression coefficients of each fraction against the gas/particle partition coefficient (K(P)) were similar for separated particles within the same sample set but differed for particles collected during different periods. Gas/particle partitioning calculated from the integral of fractions was similar to that of size-segregated particles and previously measured bulk values. Despite the different behaviors and production mechanisms of atmospheric particles of different sizes, PCDD/F partitioning of each size range was controlled by meteorological conditions such as atmospheric temperature, O(3) and UV, which reflects no source related with certain particle size ranges but mixed urban sources within this city. Our observations emphasize that when assessing environmental and health effects, the movement of PCDD/Fs in air should be considered in conjunction with particle size in addition to the bulk aerosol.     

13C在草原土壤呼吸区分中的应用

区分草原土壤呼吸的主要目的在于准确估算草原生态系统土壤碳蓄积和碳源、 汇潜力,为预测气候变化提供科学依据。论文主要论述了稳定同位素¹³C在草原土壤呼吸区分方面的应用。主要在以下几个方面进行了阐述:①碳同位素区分土壤呼吸的两种主要标记方法——脉冲标记法和持续标记法,其中脉冲标记法包括单次脉冲标记法和重复脉冲标记法,持续标记法包括FACE实验标记法和¹³C自然丰度标记法,也介绍了利用核爆产生的¹⁴C标记;②应用碳稳定同位素区分土壤呼吸的理论依据和计算方法;③土壤呼吸稳定同位素组成的取样方法和测定,包括静态箱-Keeling Plot法、 静态箱平衡状态法和动态箱连接红外分析仪法等;④指出了减小静态箱-Keeling Plot法测定土壤呼吸碳同位素值的误差需采取的措施。     

辽东湾大气中多环芳烃的含量组成及气粒分配

2016年5月和8月对辽东湾大气环境中气相和颗粒相样品进行了走航和定点采集,并对24种PAHs在气相和颗粒相中的含量和组成进行探讨,对15种PAHs的气粒分配过程进行了分析.结果表明：5月和8月辽东湾大气气相和颗粒相中∑₂₄PAHs总平均含量分别为28.8 ng·m^-3和24.0 ng·m^-3,气相中∑₂₄PAHs含量5月小于8月,颗粒态∑₂₄PAHs含量5月大于8月,低分子量PAHs主要分布在气相中,高分子量PAHs组分主要分布在颗粒相,中等分子量PAHs的气粒分配更容易受到气温等环境条件影响;气粒分配系数K_p随着PAHs分子量增加而增加;lgK_p-lgP_L模型和lgK_p-lgK_OA模型的斜率m分别为-0.35和0.37,偏离平衡态m为-1或+1,辽东湾气粒分配未达到平衡;假设达到平衡态时的lgK_p-lgK_OA模型、lgK_p-lgP_L模型和碳黑-空气模型均表明,5环PAHs的模型预测结果与实际测定结果之间的吻合程度较好,15种PAHs的碳黑-空气模型能够更好地接近野外实际测定值,低分子量和中等分子量PAHs的气粒分配受到碳黑影响较大.     

Seasonal concentrations and partitioning of PAHs in a suburban site of Bursa, Turkey

Effects of space heating on atmospheric concentrations and gas-particle partitioning of PAHs were investigated in a suburban site of Bursa, Turkey. The average concentrations of ∑₁₅-PAHs in heating season samples were approximately 10 times higher than those of non-heating season samples. The plot of log K_p versus log P_L⁰ for all the data set gave significantly different slopes. The slope for the heating season (−0.75) samples was steeper than the one for the non-heating season (−0.64) samples. It was also observed that partitioning of PAHs for the non-heating season samples showed different characteristics depending on air parcel trajectories. Generally steeper slopes were obtained for the air parcels traveled across the Black sea and arrived to the sampling site from northern sector. On the other hand, the variations in slopes according to air mass origin were insignificant for the heating season samples. Local contributions from space heating are the reason for this observation.     

Using environmental and geographic data to optimize ex situ collections and preserve evolutionary potential

Maintenance of biodiversity through seed banks and botanical gardens, where the wealth of species’ genetic variation may be preserved ex situ, is a major goal of conservation. However, challenges can persist in optimizing ex situ collections if trade-offs exist among cost, effort, and conserving species evolutionary potential, particularly when genetic data are not available. We evaluated the genetic consequences of population preservation informed by geographic (isolation by distance [IBD]) and environmental (isolation by environment [IBE]) distance for ex situ collections for which population provenance is available. We used 19 genetic and genomic data sets from 15 plant species to assess the proportion of population genetic differentiation explained by geographic and environmental factors and to simulate ex situ collections prioritizing source populations based on pairwise geographic distance, environmental distance, or both. Specifically, we tested the impact prioritizing sampling based on these distances may have on the capture of neutral, functional, or putatively adaptive genetic diversity and differentiation. Individually, IBD and IBE explained limited population genetic differences across all 3 genetic marker classes (IBD, 10–16%; IBE, 1–5.5%). Together, they explained a substantial proportion of population genetic differences for functional (45%) and adaptive (71%) variation. Simulated ex situ collections revealed that inclusion of IBD, IBE, or both increased allelic diversity and genetic differentiation captured among populations, particularly for loci that may be important for adaptation. Thus, prioritizing population collections based on environmental and geographic distance data can optimize genetic variation captured ex situ. For the vast majority of plant species for which there is no genetic information, these data are invaluable to conservation because they can guide preservation of genetic variation needed to maintain evolutionary potential within collections.     

广东某大型城市生活垃圾焚烧厂9种重金属的迁移特征

采集广东某大型城市生活垃圾焚烧厂一期(WI-A)和二期(WI-B)的进厂垃圾、渗滤液、飞灰、底渣和烟气样品,分析了各样品中砷、镉、钴、铬、铜、汞、镍、铅、锌共9种重金属含量,研究重金属的迁移特征。结果显示,9种重金属呈现4类不同的迁移特征,钴、铜、镍、铬主要迁移至底渣中,锌、砷、铅主要迁移至底渣和飞灰中,镉主要迁移至飞灰中,汞主要迁移至飞灰和烟气中。活性炭吸附和布袋除尘器的组合对除汞以外的重金属治理效果明显。WI-A和WI-B垃圾中的汞分别约有28%、37%随烟气排到环境中。