土壤重金属元素迁移模拟方法在矿集区适用性比较

选择合适的模拟方法预测重金属的迁移对于防治重金属污染具有重要意义。介绍土壤重金属的垂向迁移和水平迁移2种方式,比较了垂向迁移中的经验模型、分相模型和整体模型,以及水平迁移中的SWAT模型、随风迁移模型的优缺点及其影响因素,探讨了这些模型在矿集区重金属迁移模拟中的适用性,为矿集区选择合适的土壤重金属迁移模拟方法提供了科学依据。     

土壤重金属元素迁移模拟方法在矿集区适用性比较

选择合适的模拟方法预测重金属的迁移对于防治重金属污染具有重要意义。介绍土壤重金属的垂向迁移和水平迁移2种方式,比较了垂向迁移中的经验模型、分相模型和整体模型,以及水平迁移中的SWAT模型、随风迁移模型的优缺点及其影响因素,探讨了这些模型在矿集区重金属迁移模拟中的适用性,为矿集区选择合适的土壤重金属迁移模拟方法提供了科学依据。     

海南岛琼中黎母山—湾岭地区土壤重金属元素分布特征及生态风险评价

为了解琼中黎母山—湾岭地区土壤重金属元素分布特征及其潜在生态风险,采集了表层（0~20 cm）土壤样品2682件,对应中层（80~100 cm）及深层（180~200 cm）土壤样品各304件。分析测定Cu、Pb、Zn、Cr、Ni、Cd、As、Hg八种重金属元素。对8种重金属元素空间分布特征进行多元统计分析,并采用地累积指数法、潜在生态危害指数法对该区土壤重金属污染程度、生态风险进行评估。结果显示,表层土壤中8种重金属元素均值均高于海南岛土壤重金属背景值,表现出不同程度的积累;不同土地利用类型及种植类型对表层土壤重金属富集影响较大;垂向上,由表层至深层,土壤Pb、Zn、Cu、Cr、Ni五种重金属元素含量依次降低,但差异不大;Cd、As、Hg在垂向上表现出明显的表聚性。Pearson相关性分析与因子分析结果显示,Cu、Cr、Ni主要受地质背景影响,其余5种元素均受地质背景及人为因素影响。地累积指数结果显示,8种金属元素均值除Hg（0.08）外,均小于0,总体为无污染-轻微污染;生态风险评价显示,Cd和Hg为主要危害元素,Cd以轻微-中等危害为主,Hg以中等-强风险为主,其余元素危害指数均为轻微级,96%的土壤总体潜在生态危害指数在中等以下。     

铜陵矿区土壤重金属元素的空间变异及污染分析

运用地统计学分析手段对铜陵矿区土壤中的As、Cd、Hg、Pb和Zn5种重金属元素进行空间变异分析及空间插值,并进行污染分析,以期为铜陵矿区土壤环境评价、土壤污染修复及环境决策提供科学依据。数据来源于"安徽省江淮流域多目标区域地球化学调查"结果,采用Johnson变换进行正态转换,地统计拟合变异函数中,As、Cd元素为球状模型,Pb、Zn元素为五球形模型,Hg元素为指数模型。结果表明,As、Cd、Pb、Zn元素的变异函数表现为各向异性,其方向性可能主要受矿床分布控制;Hg元素块金效应较大,表明其受小     

Spatial distribution of heavy metals in soils: a case study of Changxing,China

Six hundred and sixty-five soil samples were taken from Changxing County in Zhejiang Province, China, to characterize the spatial variability of Hg Cd, Pb, Cu, As and Cr. The geostatistics and geographic information system (GIS) techniques were applied, and the ordinary kriging and lognormal kriging were used to map the spatial patterns of the six heavy metals. Hg, Pb, Cu and As were fitted to the spherical model with a range of 85.75, 82.32, 86.10, and 23.17 km, respectively. Cr was fitted to the exponential model with a range of 6.27 km, and Cd was fitted to the linear model with a range of 37.66 km. Both Pb and Cu had strong spatial dependence due to the effects of natural factors including parent material, topography and soil type. Hg, Cd, Cr and As had, however, moderate spatial dependence, indicating an involvement of human factors. Meanwhile, based on the comparison between the original data and the guide values of the six metals, the disjunctive kriging technique was used to quantify their pollution risks. The results showed that only Cd and Hg exhibited pollution risks in the study area. The pollution source evaluated was closely corresponded with the real discharge of industrial production and the application of organomercury pesticides. The results of this study provide insight into risk assessment of environmental pollution and decision making for agricultural production and industrial adjustment of building materials.     

Distribution and source identification of heavy metals in the sediments of a river flowing an urbanization gradient,Eastern China

Heavy metal contamination is of great concern in rapidly urbanizing areas. A basin-basis study on the impacts of urbanization on the heavy metal contamination in surface sediments from the Qinhuai River, Eastern China, was conducted, focusing on the spatial variation and source appointments. All of the sampling sites can be divided into three groups based on the hierarchical cluster analysis (HCA) results, which correspond well to the pollution levels of the studied heavy metals in the sediments of the rural, suburban, and urban sections of the Qinhuai River. The relationship between the heavy metal and the Al/Si ratio of sediments varied distinctly with the metal species and urbanization degree of the river sections. Correlation analysis and HCA highlighted that zinc appeared to be a fairly efficient geochemical signature of urban-related heavy metal contamination. The contributions derived from urban activities ranged from 35.9% for Ni to 96.1% for Cu, as estimated by a multilinear regression of the absolute principal component score method (MLR-ACPS). Agricultural activities had a clear impact on As, Pb, and Cu contamination of the sediment. Lithologic sources contributed a significant portion of Ni, Cr, and As to the sediment.     

航空高光谱反演耕地土壤重金属分布特征——以苏北灌河地区为例

为探索航空高光谱遥感开展大比例尺、大面积土壤重金属含量和分布特征快速调查的技术方法和工作流程,以苏北灌河地区为例,利用国产高光谱成像仪和自主集成的航空高光谱遥感测量系统获取影像光谱数据,通过数据预处理、CARS特征波段选择及BP神经网络建模反演等方法,建立了从数据获取到数据分析评价的工作流程,反演了土壤重金属元素含量,展示了其空间分布特征.与传统地球化学调查数据进行对比分析,结果显示高光谱反演成果与地球化学调查的重金属浓度空间分布特征吻合度较高,验证了航空高光谱反演耕地土壤重金属分布特征的可靠性.在区域性耕地土壤重金属污染调查评价方面,航空高光谱遥感能够快速、及时地获取土壤污染及相关信息,并具有很好的实用性和经济性.     

矿业活动区农田土壤重金属累积风险的评判方法——以小秦岭金矿区为例

金属矿产资源开发活动通常会导致矿区土壤重金属含量的累积,选用科学的评价标准及方法成为评判、区分矿业活动农田土壤重金属累积影响和风险的关键问题。在简述土壤背景值和土壤环境质量标准含义的基础上,提出采用与矿区其他环境条件基本相同或相近的邻区耕作层土壤重金属元素的平均含量作为评判矿业活动重金属对耕作层土壤的累积影响的对照值。以2011年小秦岭金矿区80件耕作层土壤重金属含量为例,金矿开发活动区耕作层土壤重金属的累积风险研究表明,土壤重金属低风险以上样品数占总样品数百分比的排序为Hg>Cd>Pb>Cu,矿业活动对土壤重金属累积的贡献率排序为Hg>Cu>Pb>Cd>Zn。土壤中的Cr、As、Zn元素有轻度累积但无风险。土壤中Hg元素的累积风险面积达到了187.77km2,占到研究区总面积的47.08%。其中,中、高风险的面积为99.55km2,土壤重金属累积风险极其严重。研究结果科学地评判了矿业活动对耕作层土壤重金属的累积影响及其贡献,为土壤污染防治指明了方向。     

矿业活动区农田土壤重金属累积风险的评判方法——以小秦岭金矿区为例

金属矿产资源开发活动通常会导致矿区土壤重金属含量的累积,选用科学的评价标准及方法成为评判、区分矿业活动农田土壤重金属累积影响和风险的关键问题。在简述土壤背景值和土壤环境质量标准含义的基础上,提出采用与矿区其他环境条件基本相同或相近的邻区耕作层土壤重金属元素的平均含量作为评判矿业活动重金属对耕作层土壤的累积影响的对照值。以2011年小秦岭金矿区80件耕作层土壤重金属含量为例,金矿开发活动区耕作层土壤重金属的累积风险研究表明,土壤重金属低风险以上样品数占总样品数百分比的排序为HgCdPbCu,矿业活动对土壤重金属累积的贡献率排序为HgCuPbCdZn。土壤中的Cr、As、Zn元素有轻度累积但无风险。土壤中Hg元素的累积风险面积达到了187.77km2,占到研究区总面积的47.08%。其中,中、高风险的面积为99.55km2,土壤重金属累积风险极其严重。研究结果科学地评判了矿业活动对耕作层土壤重金属的累积影响及其贡献,为土壤污染防治指明了方向。     

Environmental Geochemistry of Heavy Metal Contaminants in Soil and Stream Sediment in Panzhihua Mining and Smelting Area,Southwestern China

Mining and smelting activities are the main causes for the increasing pollution of heavy metals in soil, Water body and stream sediment. An environmental geochemical investiga-tion was carried out in and around the Panzhihua mining and smelting area to determine the ex-tent of chemical contamination in soil and sediment. The main objective of this study was to in-vestigate the environmental geochemistry of Ti, V, Cr, Mn, Cu, Pb, Zn and As in soil andsediment and to assess the degree of pollution in the study area. The data of heavy metal con-centrations reveal that soils and sediments in the area have been slightly contaminated. Geo-chemical maps of Igeo of each heavy metal show that the contaminated sites are located in V-Ti-magnetite sloping and smelting, gangues dam. The pollution sources of the selected elementscome mainly from dusts resultant from mining activities and other three-waste-effluents. The areaneeds to be monitored regularly for trace metal, especially heavy metal enrichment.     

江西赣州梓山地区富硒土壤 重金属元素安全性评价

在江西梓山地区采集土壤样712件、水稻样46件,分析该区土壤、水稻中As、Cd等重金属元素含量及其在土壤—水稻系统中的安全性.研究区土壤环境质量总体优良,清洁和较清洁土壤图斑面积为11883.06 hm2,占全区面积的96.82%;轻微污染的土壤图斑面积为368.66 hm2,占全区面积的3.00%;重金属污染的土壤图斑主要分布于富硒土壤区.水稻中As等重金属元素含量较低,均符合国家食品安全标准.水稻对As等元素的吸收富集能力受其土壤总量及其有效性制约,而重金属元素的生物有效性主要受重金属总量与TFe2 O3的控制.研究区土壤脱硅富铁铝的特征表明,该区土壤As等重金属元素的生物有效性较低,可开发富硒水稻.     

辽阳市土壤重金属含量特征及潜在风险评价

采用污染负荷指数法和生态危害指数法对辽阳城市表层土壤样品中As、Cd、Cr、Cu、Hg、Ni、Pb、Zn等重金属元素的污染程度及其生态风险进行评价。结果表明,土壤As元素基本无污染,其他7项重金属元素含量均高于对应的全国土壤背景值,其中Hg、Cd为主要污染元素,其污染程度分别为重度、中度,Zn、Pb、Cu、Cr、Ni元素处于轻度污染。生态风险评价结果显示,Hg、Cd亦为主要生态风险因子,Hg属于较强生态风险,Cd属于中等生态风险。辽阳城区存在轻度重金属元素污染,潜在生态风险水平为中等;新城区土壤生态环境优于老城区,建议进一步发挥新城疏导功能,缓解城市压力。     

Modifications in vegetation cover and surface albedo during rapid urbanization: a case study from South China

The green vegetation fraction (GVF) and surface albedo are important land surface parameters often used for validation of climate and land surface models that are influenced largely by environmental gradients and human activities. In this study, fine resolution GVF and albedo values derived from Landsat Thematic Mapper/Enhanced Thematic Mapper Plus images from 1990 to 2000 were used to examine the relationship of both GVF and albedo values to the spatial gradients of parameters related to dramatic urbanization in the Greater Guangzhou metropolitan area, Guangdong Province, in South China. Moderate resolution GVF and albedo datasets derived from the MODIS Collection 5 product were used to analyze the seasonal variation of GVF and albedo with rapid urban expansion from 2001 to 2007. The results show that the shortwave albedo had a clear declining trend from the urban center to natural land in 1990. However, no obvious trend in shortwave albedo change was observed along urban–rural gradients caused by the expansion of low-albedo urban buildings and more heterogeneous land cover patterns in 2000. A threshold of GVF (~0.21) was estimated for determining the change of albedo associated with vegetation fraction. Vegetation cover modified by urban expansion changed surface reflectance and influenced the surface energy balance. It is suggested that a large portion of energy absorbed in an urban area is likely to be converted to thermal energy that heating up is near the surface and emitted as longwave radiation.     

Using regression model to identify and evaluate heavy metal pollution sources in an open pit coal mine area,Eastern Junggar,China

This study aims at identifying multi-source heavy metal pollution from natural and anthropogenic sources using a regression model, principal component analysis, and five different indices (geo-accumulation index (I _geo), the modified degree of contamination, pollution load index (PLI), enrichment factor, and ecological risk factor. Results revealed that: (1) although the average concentrations of soil heavy metals (Cu, Cr, Pb, Hg, As, Zn) were generally low, Hg, As, and Cr concentrations exceeded national standard values by approximately 0.91, 1.84, and 0.91 times with maximum concentrations up to 0.41, 78.6, and 175.2 μg/g, respectively; (2) PLI results showed that the industrial park and Wucaiwan open coal mining area were the most polluted (PLI of 1.98, 1.71). The potential ecological hazards index indicated that the E _i ^r of three heavy metals (Cu, Hg, As) in the soil were relatively high, presenting potential ecological risk factors of 74.89, 16.71, 4.15%, respectively; (3) stepwise regression model and principal component analysis suggest that Cu and Zn were primarily effected by the natural geological condition and atmospheric dust fall. Cr, Hg, Pb are mainly derived from anthropogenic sources, particularly coal mining activities and industrial sources. Results of this research have some significant implications for heavy metal pollution prevention and the sustainable development of the economy and ecology of arid regions in China.     

青海民和-海石湾一带土壤重金属异常成因研究

青海省多目标区域地球化学调查发现,民和-海石湾一带的狭长谷地沿109国道两侧分布的土壤中存在以Cd、Pb、Hg、Cr等重金属元素为主组成的综合异常。空间上各异常元素套合较好,而且综合异常面积较大,异常元素衬度较高。经相关分析,Cr元素与土壤常量组分显著相关,与SiO2含量呈负相关关系,同时,Cr元素水平剖面上城区含量明显高于其他地方,垂向剖面上呈现元素表层略微富集的现象;Cd与有机碳之间存在显著性相关关系,与TFe2O3不存在显著性相关关系;Pb元素在80 cm以上的土壤中,异常区土壤中的含量明显高于非异常区,Pb异常基本存在于表层土壤中;Hg元素含量表层富集明显,城区土壤中的Hg含量远高于其他地方。研究结果表明,人为源输入是导致该地区Cd、Pb、Hg异常的主要因素,而Cr元素异常的形成具有双成因性质,在较高自然背景上产生了人为源叠加。因此,加强异常区工业"三废"的控制和管理,是防止异常面积扩大的有效措施。     

Magnetic screening of a pollution hotspot in the Lausitz area, Eastern Germany: correlation analysis between magnetic proxies and heavy metal contamination in soils

This investigation was carried out within the scope of EU-FP5 project MAGPROX. In parallel with the work of Kalinski et al. (2004, submitted), in which the magnetic signatures of the same soil profiles were analysed in more detail. The ‘hot spot’ under investigation was situated in the Lausitz area, Eastern Germany, between two major power plants, Schwarze Pumpe and Boxberg. This heavily industrialized region is known as the Black Triangle, named after the large lignite deposits and the old-technology power plants, among other petrochemical plants, refineries, textile manufacturing and glasswork industries. The relationship between magnetic parameters and heavy metal concentrations (Fe, Mn, Zn, Pb, Cu, Cr, Cd, Co and Ni) in soil profiles was determined statistically using linear regression analysis. Strong positive correlation was observed between heavy metal concentrations as viewed preliminarily from the heavy metal and magnetic susceptibility distributions with depth (soil profiles), and from the correlation coefficients obtained.MAGPROX team–FP5 RTD Project No. EVK2-CT-1999-00019     

基于土壤重金属污染风险管控的土壤质量评价:以某县级市为例

近年来农用地土壤质量受重金属污染影响进而导致农产品受到威胁的问题愈发严重,然而关于土壤质量评价的研究很少考虑土壤污染状况,忽略了土壤污染风险对土壤质量的影响。本文以某典型制造业县级市为例,在以土壤理化性质为主要指标的土壤肥力状况评价基础上,对研究区土壤重金属进行污染风险管控类型划分。通过建立分段函数将土壤污染风险管控类型划分结果引入土壤质量评价体系,对农用地土壤质量进行评价。结果表明：研究区土壤理化指标的变异系数从大到小为速效磷(AP)含量>土壤电导率(SEC)>全磷(TP)含量>土壤有机碳(SOC)含量>阳离子交换量(CEC)>全氮(TN)含量>pH。土壤肥力状况随地势降低和河流增加呈现升高的趋势,高肥力区主要分布在平原区西北部和平原区东北部,低肥力区主要分布在东南部丘陵山区和西部低洼区,肥力过渡区环绕低肥力区分布。农用地土壤污染风险管控类型的划分结果表明,Cd、Hg、As、Pb、Cr、Ni、Cu和Zn 8种重金属中至少有88.89%的Cd样点和98.61%的Cr样点属于优先保护类,11.11%的Cd样点、1.39%的Cr样点属于安全利用类,该区重金属污染以Cd为主。土壤质量评价结果表明,土壤质量总体分布与土壤肥力状况分布规律类似,但由于受土壤污染风险的影响,研究区西南部低质量土壤范围向东扩张,东南部低质量土壤分布范围更小,更密集化。上述研究结果说明,引入土壤污染风险管控类型划分结果一般会对土壤肥力状况作减幅修正,并在一定程度上改变原土壤肥力状况的空间分布格局。     

元素空间分布插值方法的对比研究:以铜陵地区土壤中的重金属元素为例

文中以铜陵地区As、Cd、Cu、Pb、Tl、Zn等6种土壤污染元素为例,选取常用且具有代表性的反距离加权法、径向基函数法、普通克里格法、多维分形法4种空间插值方法,进行土壤元素空间插值,并对其结果进行验证分析和评价。各方法均选取最优参数进行插值对比,土壤样本数共372个,其中337个用于插值计算,35个不参与插值计算而用于验证插值结果。对比研究显示,普通克里格法对刻画区域土壤元素的空间分布趋势效果最佳,但其半变异函数模型及参数的优选仍有待进一步研究;多维分形法对刻画土壤元素局部异常和污染效果最佳,但其对土壤元素分布普遍特征的反映仍需深入研究;反距离加权法和径向基函数法对土壤元素分布的空间插值精度一般,但其简单易用、插值最优参数易于选择。     

重金属元素摄入总量与健康安全评估 ——以湖南洞庭湖地区为例

粮食中重金属元素的含量水平直接关系到人体健康和社会安定与发展,是粮食安全性的重要反映。以洞庭湖产粮区系统采集的180套水稻、120件蔬菜样品为基础,采用相关标准分析、评价了样品中Cd、Hg、Pb、As等重金属元素的分布情况和安全性。研究结果表明：在以稻米为主食的每人日摄入量中,Hg、Pb均没有达到ADI（日允许摄入量）的限值,食品相对安全．而Cd的食品安全令人担忧。研究区稻米中绿色食品比例仅为60％,食品安全形势不客乐观,必须采取措施,保障人体健康的安全。