Relationship between magnetic properties and heavy metals of urban soils with different soil types and environmental settings: implications for magnetic mapping

Two types of soil (fluvisols and anthrosols) were collected from different environmental settings (suburb and industrial area) in Wuhan, central China, aiming to examine the applicability of magnetic mapping for heavy metal pollution of urban soil in a large region. Magnetic measurements and chemical analysis indicated elevated magnetization and heavy metal concentrations of topsoils in the industrial area. Magnetic susceptibility (χ), anhysteretic remanent magnetization (ARM) and saturation isothermal remanent magnetization (SIRM) of fluvisols are much higher than those of anthrosols, but contrary for frequency-dependent susceptibility, indicating that soil magnetism strongly depends on the soil type/condition. Predominant magnetic carrier in topsoils in industrial area is pseudo-single-domain/multi-domain magnetite. Environmental scanning electron microscope/energy dispersive X-ray examination of the magnetic extracts from these topsoils revealed abundant spherical particles with diameters of 10–50 μm that are rich in iron-oxides, and could be attributed to the nearby industrial activities (e.g., steel work and power generation). Significant correlations were observed between magnetic concentration-related parameters (e.g., χ, ARM and SIRM) and concentrations of Cu, Pb, Zn, Hg and Tomlinson pollution load index. These results proposed that magnetic proxy mapping of soil pollution is an effective, fast and inexpensive tool for delineation of heavy metal pollution. However, interpretation of magnetic properties for such a purpose must be done on a site-specific basis, taking into account the possibilities of pedogenic enhancement/depletion under the specific soil conditions.     

北京城区表层土壤多元素分布特征及重金属元素污染评价

采用地统计学和GIS相结合的方法,对北京城区表层土壤样品54项指标的地球化学背景值进行了详细研究,认为微量元素中Ni、Cr和As含量值存在极高值点,具有点源污染特征;Hg、Cd、Zn、Pb和Cu具有面状污染特点。对这5种重金属元素开展研究,统计北京城区五环内每个区域的数据并结合元素含量空间分布特征,指出元素含量平均值由市中心向周边地区逐渐降低。采用内梅罗指数法对表层土壤重金属元素污染进行评价,认为北京市城区表层土壤大部分已经被重金属元素所污染。分析了造成土壤重金属元素污染的可能影响因素,主要包括工业活动、化石燃料燃烧、建筑涂料、机动车尾气等,并提出了污染防控的建议。     

Advanced DInSAR analysis on mining areas: La Union case study (Murcia, SE Spain)

The town of La Union (SE, Spain) is located within a metal mining area that has been exploited since the Roman period. This historic exploitation has left behind a high concentration of abandoned underground mining galleries. Currently, an industrial area is subsiding due to the collapse of one of these galleries in May 1998. In this paper, an advanced Differential Interferometry SAR (DInSAR) method called the Coherent Pixels Technique (CPT) has been used to study the subsidence phenomena for two time intervals, from January 1998 to December 2000, and from March 2003 to December 2004. DInSAR-derived deformation maps have enabled the detection and monitoring of different deformation processes that affect several locations within the study area. By comparing these results with the underground mining galleries map, a clear relationship between their presence and the subsidence has been proved. Deformation values retrieved with DInSAR between April 2003 and December 2004 have been compared with the topographical leveling network measurements performed in this same period, providing an absolute average difference of 0.7 cm with a standard deviation of 0.5 cm. Results obtained in the city of La Union have shown that the advanced DInSAR technique is able to provide very useful spatial and temporal deformation data for the measurement of small scale subsidence throughout short time periods. This technique has enabled the temporal evolution of the phenomena in the city of La Unión to be studied and understanding of subsidence to be expanded beyond the limits of a deployed topographical control network, in a more cost effective way than classical methods.     

辽宁沈抚污灌区土壤重金属环境质量评价

辽宁省沈抚污灌区自上世纪60年代以来开始接受污水灌溉,直到2000年左右才停止.由于长期接受污水灌溉,土壤污染比较严重.通过分析污灌区的土壤中4种重金属元素Zn、Cu、Pb、Cd含量,采用地质累积指数评价方法,对其地球化学特征及空间分布进行了探讨.结果表明：元素Cu和Zn的污染范围最广,元素Cd的污染程度最高,4种重金属元素污染程度排序为Cu > Zn > Cd > Pb.各元素在空间上造成的污染排序如下：李石寨（样点7） > 三宝屯（样点1） > 刘尔屯（样点5）> 四方台（样点8） > 小瓦村（样点15）.     

内蒙古自治区包头市土壤地球化学特征与环境评价

[摘 要] 包头市是内蒙古自治区境内最大的工业城市,随着工业生产的迅速发展,生态环境问题 日益突出,本文利用近年来在本区开展的多目标区域生态地球化学调查成果,依托多目标生态地球化学 调查提供的土壤元素指标的含量值、背景值及区域空间分布图等丰富的地球化学资料,重点对包头市生 态环境进行调查,对包头市土壤元素地球化学特征进行统计分析研究,通过研究土壤中镉、汞等重金属 元素的空间分布特征、物质来源, 运用内梅罗指数法对包头市土壤环境质量及环境污染状况进行了评 价。结果表明,除以冶炼为主的局部地段受到明显的人为污染外,其余地区环境质量总体良好。评价结 果对包头市今后的环境规划和环境治理提供了科学依据。     

Factorial and indicator kriging methods using a geographic information system to delineate spatial variation and pollution sources of soil heavy metals

This study uses factorial and indicator kriging methods with a geographic information system (GIS), to overlay and delineate the variation and pollution sources of soil heavy metals in fields in the north of Changhua County, Taiwan. Accordingly, the spatial variation and pollution probability patterns of soil cadmium, chromium and copper are estimated to support further environmental monitoring, remediation and planning. The overlay maps of industrial plants, irrigation channels and kriging estimates, constitute a GIS. This reveals that the short- and long-range variations and soil pollution by Cd, Cr and Cu strongly corresponded to the locations of irrigation systems and industrial plants in the area of study. The maps also verify most locations of suspected pollution sources from the GIS database. Moreover, the probability spatial patterns estimated by indicator kriging, based on the pollution thresholds of Cd, Cr and Cu, were also highly correlated with irrigation channels and industrial plants. The GIS, with factorial and indicator kriging under different combinations of variations and pollution probabilities of soil Cd, Cr and Cu, provide alternative scenarios for delineating the areas that contain high variation and high pollution probability of these heavy metals, to enable decision makers to identify pollution sources, and to further investigate and remedy soil pollution.     

基于自组织神经网络的污染场地多监测指标相关性分析

为查明场地污染分布特征,需对场地土壤和地下水进行钻探取样,按规范的检测指标进行逐一测试。在初查和详查阶段将获得大量的土壤和地下水污染数据,数据样本数量大、监测指标多,数据结构复杂,如何从场地大数据中提取价值信息已成为研究热点。以某有机污染场地为例,基于自组织映射神经网络（SOM）和K均值算法开展大数据分析,深入探讨地下水和土壤中各污染指标间的相关性。结果表明:（1）基于自组织映射神经网络的大数据分析可快速挖掘复杂多维的污染场地监测数据,有效完成关键信息的提取;（2）地下水中污染检出指标存在显著的聚类特征,同一聚类中的污染指标具备相似的空间分布特征。对场地污染物检测采取先分类后分级的优化筛选策略,减少污染物检测指标数目,从而有效降低场地检测费用;（3）土壤和地下水中污染检出指标存在良好的空间相关性,这与该污染场地地下水渗流速度缓慢有关。土壤和地下水污染检出指标空间分布的相关性,有助于场地污染源的追溯。     

Assessment of the topsoil heavy metals pollution in the Sarno River basin,south Italy

The Sarno River basin area is one of the most polluted in Europe and it is due to the waste products of the tomato industry, the leather tanneries and the pharmaceutical industry. This area also has been densely populated and urbanized since the Middle Bronze Age, as testified by the presence of numerous archeological sites, including the ancient Pompeii town, and environmental degradation that characterizes the area is absolutely unacceptable. This paper represents a detailed study to assess the potentially harmful element content of topsoils. In total, 283 soil samples were collected and analyzed, after an aqua regia extraction, by a combination of inductively coupled plasma atomic emission and inductively coupled plasma mass spectrometry for 53 elements. Univariate and multivariate analyses were carried out to show the single-element geochemical distribution and the distribution of factor scores of the elemental associations resulting from R-mode factor analysis. Maps showing elements and the association factor score distributions have been obtained using GeoDAS and ArcGIS software. The assessment of the soil contamination was also carried out using the contamination factor and degree of contamination. The results obtained indicate that soil pollution has different anthropogenic sources. Specifically, Cr pollution derives from tanneries discharging wastewaters in the main water bodies of the basin while Cu contamination seems to depend on widespread agricultural practices. Tin, Pb, Hg, Zn, Cd, Sb anomalies are found mainly in urban and industrial areas, sometimes close to roads with high traffic levels while there is a substantial coincidence with background values for other elements (Co, Ni, Se, Tl and V).     

基于深层土壤数据的多维分形成矿异常识别研究 ——以铜陵矿集区Cu元素为例

以铜陵矿集区Cu元素为例,开展基于深层土壤数据的多维分形成矿异常识别研究。结果表明,在土壤采样密度相对较低、元素含量空间分布差异不大的情况下,多维分形克里格插值法较普通克里格插值法对于成矿异常的识别具有极大的优势。对于铜陵矿集区这类矿床开采、开发程度已较高,表层土壤元素分布主要受控于外源污染的老矿集区,基于深层土壤样品数据的多维分形克里格方法可以有效地进行成矿异常识别,服务于老矿集区的深部、外围隐伏矿床找矿。而对于空白研究区,无论是基于深层土壤数据还是表层土壤数据,多维分形克里格方法应同样有效。多维分形方法下土壤元素成矿预测的异常下限值确定尚无标准,文中采用元素含量 矿床数目累积频率的计算方法,基于该方法提取的成矿异常区域较好地识别出了绝大多数已知矿床,同时识别出了值得作进一步异常查证的空白异常区域。     

Effect of different industrial activities on heavy metal concentrations and chemical distribution in topsoil and road dust

The development of industrial activity in recent years has promoted the pollution in this environment causing health problems to workers and the neighbourhood nearby. In order to determine the influence of different industrial activities in metals concentration and behaviour in soil and road dust, samples from three different industrial areas (service industry; refinery, fertilizer and power industry; and tannery industry) and a natural area were collected. Physical–chemical properties, metal content (Pb, Zn, Cu, Cr, Co, Ni) and the chemical distribution of metals were carried out. Results show largest accumulation of metals in road dusts samples for all industrial areas, being Zn, Pb, Cr and Cu the metals with highest concentrations. Each industrial activity contributes differently to the concentration of metals in soil and dust, and the highest concentrations of Cr were found from tannery industries, while Pb and Zn showed the highest concentration from refinery and fertilizer industry. It has been showed that industrial activity has influence on the physicochemical properties of soil and road dust and on the bioavailability of all metals. Chemical partitioning indicates that Pb, Zn, Cu and Cr distribution in the different solid phases is affected by industrial activity, while Co and Ni distribution is not affected by the industrial activity.     

Mapping of heavy metal loadings in soils by means of magnetic susceptibility measurements

Contamination of soils with heavy metals is an issue all industrial and urban regions have to deal with. Generally, chemical methods are chosen to monitor soil pollution but measurements of magnetic susceptibility proved to yield additional information at low cost and consuming less time. We measured the magnetic susceptibility of soils which had been analysed chemically during the soil surveys of three Austrian provinces. Each anomaly of susceptibility either coincided with geogenic anomalies or indicated anthropogenic input of pollutants. Regional comparisons of susceptibility with chemical analyses revealed that susceptibility can be used as an indicator for the contents of individual pollutants in soils. This calibration of susceptibility has been successfully applied to an industrial region as well as to an urban environment. Two powerful applications of susceptibility measurements of soils are shown: the identification of polluted areas, and the detailed mapping of these areas to reveal the extent of pollution.     

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。     

An integrated assessment of soil erosion dynamics with special emphasis on gully erosion in the Mazayjan basin,southwestern Iran

Soil erosion by water is a significant problem in arid and semi-arid areas of large parts of Iran. Water erosion is one of the most effective phenomena that leads to decreasing soil productivity and pollution of water resources; especially, in the Mazayjan watershed in the southwest of Fars Province gully erosion contributes to the sediment dynamics in a significant way. Consequently, the intention of this research is to identify the different types of soil erosion processes acting in the area and to assess the process dynamics in an integrative way. Therefore, we applied GIS and satellite image analysis techniques to derive input information for the numeric models. For sheet and rill erosion the Unit Stream Power-based Erosion Deposition Model (USPED) was utilized. The spatial distribution of gully erosion was assessed using a statistical approach, which used three variables (stream power index, slope, and flow accumulation) to predict the spatial distribution of gullies in the study area. The eroded gully volumes were estimated for a 7-year period by fieldwork and Google Earth high-resolution images. Finally the gully retreat rates were integrated into the USPED model. The results show that the integration of the SPI approach to quantify gully erosion with the USPED model is a suitable method to qualitatively and quantitatively assess water erosion processes. The application of GIS and stochastic model approaches to spatialize the USPED model input yields valuable results for the prediction of soil erosion in the Mazayjan catchment. The results of this research help to develop an appropriate management of soil and water resources in the southwestern parts of Iran.     

吉林市地下水中"三氮"迁移转化规律

通过对吉林市1988~2004年地下水水化学资料进行分析,认为地下水中“三氮”的分布、随时间变化的特点与其来源有极为密切的关系,农灌区地下水中“三氮”含量在空间上分布比较均匀,丰水期含量升高、枯水期含量降低;工业污染导致地下水中“三氮”含量变化较大,年内丰枯水期变化表现不明显;多年基本表现为地下水中“三氮”不断增高。地下水中“三氮”的增加是土壤和地表水中污染源的增加与补给地下水的渗流共同作用的结果。污染源不同、地表水污染、水文地质条件、水土流失、地下水中Fe2 含量较大对“三氮”迁移转化及其空间分布都有一定的影响。     

The present situation and evaluation of nitrate pollution in soil in a regional aeration zone: using the proluvial fan agriculture irrigation district of Hunhe River in northeast China as an example

The nitrate concentration in groundwater is associated with the nitrate content in soil. However, nitrate is not in the current list of soil security standards, which makes it difficult to study nitrate pollution in soil. Because the nitrate content in the soil may affect human and ecological health, the evaluation of nitrate pollution in the soil and its current situation are both particularly important. In this study, the background value of nitrate in soil in the proluvial fan agriculture irrigation district of Hunhe River in northeast China was estimated by analyzing the factors influencing the vertical and horizontal, spatial distribution characteristics of soil nitrate. Evaluation and analysis were also carried out on the pollution of soil by nitrate using the single factor index evaluation method along with the Nermero pollution index evaluation method. Results of the study showed that the estimated background value of soil nitrate in this area was 2.58 mg/kg, and the soil was moderately polluted by nitrate.     

Environmental study for pollution in the area of Megalopolis power plant (Peloponnesos,Greece)

The main purpose of the present study is to investigate the suitability of magnetic properties in correlation to geochemical measurements as a pollution-monitoring tool and study the metal transmission factors in an area around a major local source, namely a lignite-burning power plant. Surface soil samples were collected in the wide area of the power plant of Megalopolis (Peloponnesos, Greece). The magnetic susceptibility and other magnetic properties of the surface soils were originally measured and mapped. Loci of high values of magnetic susceptibility within the study area gave rise to further analyze the soil samples for metal concentrations. GIS techniques were used for mapping all the chemical constituent concentrations and the magnetic measurements on the various topographic and geological features of the area. Maps were created through interpolation algorithms indicating the spatial distribution of the above measurements. Spatial tools and statistical analysis through the calculation of Pearson’s coefficients proved the correlation between magnetic properties, metal concentrations and the terrain attributes (especially the geological structure and the wind currents) of the region.     

华北地区某工业场地土壤重金属分布特征

以华北地区某工业场地为研究对象,采用数理统计和地质统计学方法,对该场地土壤中重金属元素的空间分布特征及元素之间的相互关系进行研究。结果显示:各重金属元素在研究区已有一定程度的积累,其中Hg的平均含量高于国家《土壤环境质量标准》三级标准值和当地土壤背景值,污染最严重,是该场地土壤重金属污染的主要因子;各重金属元素污染程度整体上为Hg>Zn>Cd>Mn>Pb>Cu>Cr>As,其中As平均含量与当地土壤背景值接近。重金属元素Hg、Cd、Mn、Fe和Co具有中等程度的空间相关性,表明这些元素具有相同或相似的污染源。场地内1、4、8、9厂区的土壤重金属污染最严重,污染物种类与其特殊的工艺流程有一定关系,这为以后的污染防治工作提供了重要依据。     

Heavy metal distribution and contamination in soils of Thane–Belapur industrial development area,Mumbai, Western India

There is a growing public concern over the potential accumulation of heavy metals in soil, owing to rapid urban and industrial development in the last decade in India. Therefore, an attempt was made to investigate the pollution caused due to excessive accumulation of heavy metals in soils near Thane–Belapur industrial belt of Mumbai. Soil samples were collected from surrounding industrial areas and were analyzed for toxic/heavy metals by X-ray fluorescence spectrometer. The analytical results indicate that the soils in the study area were enriched with Cu, Cr, Co, Ni and Zn. The concentration ranges were: Cu 3.10–271.2 mg/kg (average 104.6 mg/kg), Cr 177.9–1,039 mg/kg (average 521.3 mg/kg), Co 44.8–101.6 mg/kg (average 68.7 mg/kg), Ni 64.4–537.8 mg/kg (average 183.6 mg/kg) and Zn 96.6–763.2 mg/kg (average 191.3 mg/kg). The visualization of spatial data is made by preparing distribution maps of heavy metal concentration in soils and co-relation diagrams. These results highlight the need for instituting a systematic and continuous monitoring of the study area for heavy metals and other forms of pollution to ensure that pollution does not become a serious problem in future.     

江都市土壤重金属分布特征及污染评价

江都市土壤重金属含量分布及污染现状评价结果显示,江都市土壤环境质量总体良好,但局部地区土壤污染严重,其中通扬运河以北地区土壤环境质量优于通扬运河以南地区。土壤中镉、汞、锌含量空间分布不均匀,局部土壤含量超过国家土壤二级标准,由点源污染所致,其中镉、汞为江都市土壤主要致污染因子,导致局部土壤严重污染。建议对不同污染程度土壤土地采取不同利用方式,需进行合理调整规划。     

高精度磁测在第四系浅覆盖区的应用--以山东省昌邑市德胜庄地区铁矿勘查为例

德胜庄铁矿区地处莱州安丘铁矿成矿带中段,为新发现的第四系浅覆盖区低缓磁异常中的铁矿床。根据野外岩矿石物性测定,可知铁矿石与围岩磁化强度差异,为高精度磁测提供可靠地球物理依据。利用高精度磁测查明区内磁异常的分布特征,结合地质资料,对覆盖区矿体进行反演,初步圈定铁矿体的埋深、形态、产状,为下一步钻探工程提供依据。