Fractionation and Sequential Extraction of Heavy Metals in the Soil of Scrapyard of Discarded Vehicles

Chemical and physical size fractionation of heavy metals were carried out on 20 soil samples from the scrap yard area. Tessier method was used in sequential extraction. Cadmium showed the highest levels among the other elements studied in the exchangeable fraction (about 33%), while other elements showed low levels in this fraction (≥1%). Lead and manganese were mostly found in the Fe–Mn oxide fraction, zinc and iron were mostly in residual fraction, while copper was mostly found in the organic fraction of the soil. Soil samples were size-fractionated into four sizes: 1000–500, 500–125, 125–53, and less than 53 μm. The highest levels of Fe, Cu, Pb, Mn, and Cd were found in the medium fraction (500–125 μm), while zinc showed its highest levels in the fine fraction (125–53 μm). The order of heavy metal load in the size fractions was found to be medium > fine > coarse > silt for Fe, Mn, Cu, Pb, and Cd, where it was found as fine > medium > coarse > silt for zinc.     

Integrating Remote Sensing Approach with Pollution Monitoring Tools for Aquatic Ecosystem Risk Assessment and Managment: A Case Study of Lake Victoria(UGANDA)

Aquatic ecosystems around the world, lake, estuaries and coastal areas are increasingly impacted by anthropogenic pollutants through different sources such as agricultural, industrial and urban discharges, atmospheric deposition and terrestrial drainage. Lake Victoria is the second largest lake in the world and the largest tropical lake. Bordered by Tanzania, Uganda, and Kenya, it provides a livelihood for millions of Africans in the region. However, the lake is under threat from eutrophication, a huge decline in the number of native fish species caused by several factors including loss of biodiversity, over fishing and pollution has been recently documented. Increasing usage of pesticides and insecticides in the adjacent agricultural areas as well as mercury contamination from processing of gold ore on the southern shores are currently considered among the most emergent phenomena of chemical contamination in the lake. By the application of globally consistent and comprehensive geospatial data-sets based on remote sensing integrated with information on heavy metals accumulation and insecticides exposure in native and alien fish populations, the present study aims at assessing the environmental risk associated to the contamination of the Lake Victoria water body on fish health, land cover distribution, biodiversity and the agricultural area surrounding the lake. By the elaboration of Landsat 7 TM data of November 2002 and Landsat 7 TM 1986 we have calculated the agriculture area which borders the Lake Victoria bay, which is an upland plain. This process has greatly enhanced nutrient loading to the soil, which is subsequently transported to the lake by rain or as dry fall. All the data has been insert in the Geographical information System (ARCGIS) to be upgraded and consulted. Heavy metals in fish fillets showed concentrations rather low except for mercury being higher than others as already described in previous investigations. In the same tissue, cholinesterases activity (ChE) as an indicator of insecticides exposure showed significant differences among fish species in both activity and sensitivity of selected inhibitor insecticides. This integrated approach aims at identifying and quantifying selected aquatic environmental issues which integrated with monitoring techniques such as contaminant concentrations and biological responses to insecticides exposure in fish populations will provide a scientific basis for aquatic zones management and assist in policy formulations at the national and international levels.     

福建省兴化湾大气重金属的干湿沉降

在兴化湾周围采集1年的大气颗粒物及降雨样品,测定分析了Cd,Pb,Zn和Cu 4种重金属的含量及其大气干湿沉降通量随季节的变化规律,并利用Pb同位素对大气颗粒物的来源进行了解析.结果表明:大气重金属的干沉降通量随季节变化不大,而湿沉降通量随季节变化明显.大气干沉降通量中,Cd,Cu随季节变化很小,而Pb,Zn有一定的季节变化,主要是因为降雨对大气颗粒物的去除作用.大气湿沉降通量中,所有重金属元素受降雨量影响显著,另外还与季节和风速有关.除Pb外,Cd,Zn和Cu的湿沉降通量均大于干沉降通量,说明湿沉降在大气对兴化湾重金属的输入过程中起主导作用.而Pb的输入则以颗粒态为主.根据Pb稳定同位素分析,兴化湾大气颗粒物中的重金属主要来源于工业活动.      

大型铜尾矿库区节节草(Hippochaete ramosissimum)根际土壤重金属形态分布与影响因素研究

通过野外调查和实验分析,对安徽省铜陵市铜官山铜尾矿库、狮子山铜尾矿库及狮子山铜尾矿库周边农田3处生长的节节草根际与非根际土壤中重金属(Cu、Cd、Pb、Zn)的形态、含量和分布进行了研究.结果表明,节节草根际与非根际土壤重金属的主要形态分布基本一致,均表现为矿物态含量占据了重金属全量的大部分,而交换态含量偏低.与非根际土壤相比较,根际土壤中交换态、有机态重金属所占比例显著增加,其中Cu的有机结合态所占比例增加了53 25%、Cd、Pb的有机结合态所占比例增加超过17%,Zn则增加了5.67%;与此同时,碳酸盐结合态和铁锰氧化物结合态含量有所下降.统计分析表明,Cu、Cd、Pb、Zn在根际土壤中的形态分布与土壤pH值、有机质含量、植物生长等因素密切相关.     

重金属离子存在下腐植酸和芘之间的相互作用

建立并验证了腐植酸(HA)和芘结合常数(Koc)测定的荧光猝灭法,进而研究了重金属离子对HA和芘相互作用的影响,测定了重金属离子存在下HA和芘之间的Koc.结果表明:纯化后的HA是分子质量较小的部分,水溶性较高,具有羟基、羧基和碳氧键等极性基团;HA利用其分子中的羟基、羧基、碳氧键等基团和重金属离子产生络合作用,这种络合作用影响了HA的结构;随着重金属离子浓度的增大,Koc遵循先增大,再减小,最后趋于不变的趋势.     

河口近岸水体中颗粒态重金属的潮周期变化

对长江口崇明东滩近岸水体中颗粒态重金属的潮周期变化特征及其影响机制进行了研究.结果表明,受粒度影响,底层水体中颗粒态Cu、Pb、Fe、Mn、Zn、Cr、Al的总量分别高出表层沉积物的184%、99%、56%、62%、147%、50%和45%,其中Cu、Pb、Fe、Mn、Zn、Al可还原态部分在底层水体悬浮颗粒物中的含量也明显高出表层沉积物的2～3倍,但与重金属总量相比,上述元素的可还原态部分所占比例与表层沉积物相差不大.在5次潮汐循环过程中,颗粒态重金属均在涨潮初期、高平潮前后及落潮末期出现较高含量.这种变化主要与水动力条件有关,当水体流速增大时,从底部沉积物再悬浮起来的颗粒态重金属对水体中的永久性悬浮颗粒起了很大的稀释效应.水体中的盐度、DO及pH等环境因子对潮周期内颗粒态重金属的变化影响不大.     

松花江野生鱼类重金属残留分析与评价

以松花江流域的野生鱼类为研究对象,在松花江流域选取松林、大顶子山、佳木斯3个具有代表性的点位,在2014—2016年的每年5月底6月初采集鲤鱼和鲫鱼样品,3年内共制备45个鲤鱼单样,44个鲤鱼混样,30个鲫鱼混样,共计119个。采用电感耦合等离子体-质谱法对鱼类肌肉组织中残留的As、Cd、Cr、Pb、Hg 5种重金属进行检测。检测结果显示,As、Cd、Cr、Pb、Hg 5种重金属全部检出,检测结果全部达标,达标率为100%。根据检测结果采用单因子指数法和金属污染指数法等评价了松花江流域鱼体重金属残留状况及食用安全性,评价结果为松花江流域鱼类重金属残留量相对较少,鱼体健康,食用安全。     

薄膜扩散梯度技术在重金属生物有效态监测中的应用

重金属生物有效性是评估重金属元素迁移性、生物可利用性和生态影响的关键参数。薄膜扩散梯度技术(DGT)是一种原位被动采样技术,因其具有原位富集性、形态选择性,可提供被监测物质在监测时间段内的平均浓度等优点,可作为生物对重金属摄取的模拟替代物对环境介质中重金属的生物可利用度进行预测,已被广泛应用于环境介质中重金属生物有效性的测定。研究主要介绍了DGT技术的原理、组成和特点,评述了其近年来在水体、土壤、沉积物中重金属生物有效态应用方面的新进展,提出了DGT技术未来要提高抗生物污染能力及寻找可与DGT技术联用的相关技术的观点。     

基于双指标多等级的土壤重金属生态风险评价

采用土壤中重金属的全量和有效态双重指标,建立基于多等级综合评估的土壤中重金属生态风险评价模型,将联合概率曲线法引入土壤评价模型,分析重金属暴露浓度与毒性数据的概率分布,考察重金属对土壤生物的毒害程度,从而确定土壤中重金属对于生态系统的风险。建立从简单到复杂的多等级综合评价方法,表征重金属的污染等级、浓度效应、多种重金属污染物的协同效应、不同重金属的毒性效应和土壤对不同重金属污染物的敏感性。选择典型地区采集有代表性的土壤样品,测定不同重金属的总量和有效态,验证评价模型的实用性和评价分级的合理性。旨在解决土壤重金属风险评价的方法学问题,为土壤环境质量管理提供支持。     

典型地区农用地污染调查及风险管控标准探讨

针对《土壤污染风险管控标准——农用地土壤污染风险管控标准》(GB 15618—2018),提出以土壤中全量浓度筛选值和管控值作为衡量农用地土壤污染风险管控的标准,对湖南省部分稻田农用地土壤及点对点稻米样品中镉、铅、砷、汞的总量和有效态浓度及稻米中含量进行监测,根据重金属总量浓度分为低风险、中风险、高风险3组。结果显示:(1)土壤及稻米中镉含量基本为随着风险级别的升高而增加,铅、砷在土壤和稻米中含量无规律性结果,汞监测结果均为未检出。(2)低风险组稻米镉超标率为12. 0%,高风险组稻米镉达标率为33. 3%,表明利用总量浓度对农用地土壤潜在风险进行分组存在一定的局限性。(3)依据4种重金属在土壤中总量及稻米(早稻)中含量情况,对风险级别进行调整并综合判断:有58个样品为低风险组,占样品总数的68. 2%,超标率为零;有15个样品为中风险组,占样品总数的17. 7%,超标率为80. 0%;有12个样品为高风险组,占样品总数的14. 1%,超标率为100. 0%。调整后评价结果与上述标准的划分目标更接近,能够提高上述标准的准确性和实用性。