Reconnaissance soil geochemical survey of Gibraltar

The extreme density of population of Gibraltar, situated at the southern tip of Spain, exerts considerable pressure on land use and thus future planning is of utmost importance. An initial reconnaissance soil geochemical survey of Gibraltar was based on 120 surface samples (0–15 cm) taken from a wide range of exposed, either bare soil or vegetated sites, to provide the optimum geographical distribution. The total elemental concentrations of 26 elements (Li, Na, K, Be, Mg, Ca, Sr, Ba, Al, La, Ti, V, Cr, Mo, Mn, Fe, Co, Ni, Cu, Ag, Zn, Cd, Pb, P, S, As) were determined by nitric/percholric acid digestion followed by inductively coupled plasma-atomic emission spectrometry (ICP-AES) analysis. The reconnaissance data shows that the spatial distribution of various elements depended on previous and present land use. Most elements (Ca, Cr, Mg and Mn excluded) exhibited relatively high concentrations in civilian and natural soils. Trends have been established for many elements, and concentrations exceeding guideline values have been found in certain areas of Gibraltar. This reconnaissance of Gibraltar is at present being followed by a more detailed baseline geochemical survey, which will establish the extent and magnitude of the variations in major and trace elements in soils and dusts, assess the impact of industrial, commercial and urban development on the geochemical landscape and to make recommendations concerning sustainable development.     

中国水稻土碳循环研究进展

文章首先分析了水稻土在碳循环研究中的地位和重要性，进而对我目水稻土碳循环的研究现状作了较为详尽的阐述，对其主要研究结论进行了深入的剖析。中国大而积的水稻土自1980年以来显示出有机碳库增加现象，说明水稻田对大气CO2可能产生汇效应。水耕熟化过程足有机碳的积累过程，水稻土的碳密度是早作土碳密度的2-3倍。水稻土的同碳能力与土壤的微团聚体的粒径有关。但对于水稻土中有机碳的分布和结合状态与农业管理措施、水稻土质量变化、农业生态环境变化的关系仍不清楚。因而建议就这一问题从土壤物理学、化学和生物学的相互作朋与土壤微团聚体中矿物质、有机质和微生物的相互结合关系的层面上进行多学科研究。同时提出了今后我困水稻土碳循环的重点研究方向和领域，即从整体和系统的角度来研究碳循环和平衡，从不同的时空区域来研究碳循环的过程和强度。     

Concentrations of Potentially Toxic Metals in Urban Soils of Seville: Relationship with Different Land Uses

Fifty-two samples of surface soils were taken in the urban area of Seville, to assess the possible influence of different land uses on their metal contents and their relationship with several soil properties. The samples corresponded to five categories or land uses: agricultural, parks, ornamental gardens, riverbanks, and roadsides. Sequential extraction of metal according to the procedure proposed by the former Community Bureau of Reference (BCR) was carried out, and pseudo-total (aqua regia soluble) metal contents were determined. Lower organic C, total N and available P and K contents were found in riverbank samples, probably due to the lack of manuring of those sites, left in a natural status. In contrast, significantly higher electrical conductivity was found in those sites, due to the tidal influence of the nearby Atlantic Ocean. Other land uses did not show significant differences in the general properties. Concentrations of Cu, Pb and Zn, both aqua-regia soluble and sequentially extracted, were clearly higher in soils from ornamental gardens, whereas the concentrations in the riverbank samples were slightly lower than the other categories. In contrast, other metals (Cd, Cr, Fe, Mn, Ni) were uniformly distributed throughout all land uses. A strong statistical association is found among the concentrations of Cu, Pb, Zn and organic C, suggesting that the larger contents of these metals in ornamental gardens are partly due to organic amendments added to those sites more frequently than to other kinds of sites. Considering the conclusions of previous studies, heavy traffic can also contribute to those `urban’ metals in urban soils. Periodic monitoring of the concentrations of urban metals in busy city centres and of the quality of amendments added to soils of recreational areas are recommended.     

A Geochemical Survey of Topsoil in the City of Oslo, Norway

The city of Oslo is situated centrally in the Oslo-graben, which is a Permian rift basin consisting of different kinds of volcanic and sedimentary rocks. In the summer of 1998, approximately 300 samples of surface soil (2–3cm) were taken systematically, 1km^–2. The investigated area covers about 500km². Samples were dissolved in 7M HNO₃ and analysed for 29 elements with ICP-AES, mercury with cold-vapour technique (CV-AAS) and arsenic and cadmium with a graphite furnace (GF-AAS). A factor analysis is frequently used to identify relationships among sets of interrelated variables. To describe the covariant relationships among the elements, a factor analysis has been completed. The first factor contains the elements Sc, Fe, Li, Co, Al, Cr, Be, K, Ni, V, Mg, Y, Ba, Zr, Mn and As (listed with decreasing communality). These elements are typical for the minerals in the area and most of these elements have a near normal distribution. Sources for this factor are probably geological. The second factor contains Cd, Hg, P, Zn, Cu, Ba and Pb. They have a log-normal distribution. Road traffic is probably one of the sources contributing to this factor. In Norway studded tyres are used frequently in the winter season which results in large amounts of road dust. Leaded petrol has been a major source for Pb but is not in use any more. Wear and tear of tyres and brakes contribute also to this factor. Other sources contributing to this factor are probably industry, rubbish incineration, crematoria and release of some of these elements from structural material by fire. Factors 3, 4 and 6 with elements such as Ca, Na, La, Ti and Sr probably have geological sources. They are associated with minerals like amphiboles, pyroxenes and feldspars and some of the elements are from sea aerosols. Factor 5 contains Mn, Cd, Zn, As and Pb. Manganese may be derived from many different sources such as rock weathering, windblown dust, agriculture and traffic. Since As and Mn are placed in both factor 1 and 5 they probably have both geological and anthropogenic sources. Concentrations of the elements in the second factor are much higher in the central parts of Oslo, than in the rest of Oslo. The median value of Hg in the centre is 0.48mgkg^–1, which is 8 times higher than that in the rest of the city. Also, the other elements have much higher levels in the centre. The industrial district north-east of the centre also has high values. The distribution of arsenic is regular throughout the whole city, but has a slightly higher level in the centre. Norm values for contaminated land used by the Norwegian authorities are 2mg As kg^–1 and 25mg Cr kg^–1. Of 297 samples, 61% contain more than 25mg Cr kg^–1 and 79% more than 3mg As kg^–1, which is the detection limit of the analysis. These samples will therefore be regarded as contaminated. Factor analysis places these elements in the geological factor. The Norm value of zinc is 150mgkg^–1, and 40% of the samples contain more than this. The Norm value of lead is 150mgkg^–1, and 35% of the samples contain. Road traffic is probably the major source for these elements.     

西安地区土壤CO2 释放量和释放规律

根据碱溶液吸收法,对西安地区不同植被条件下土壤CO2释放量进行了昼夜观测,观测资料显示,西安地区各月份土壤CO2释放量在一昼夜内具有明显的变化,从当日上午到次日上午,CO2释放量表现出由低变高再变低的规律,土壤CO2释放量变化与温度变化具有相同的特征,但释放量的变化具有滞后性,相对于温度的变化滞后4－6h左右,温度是决定土壤CO2释放量昼夜变化规律的主要因素,它的升高和降低分别造成了土壤CO2和放量的增加和减少,不同植被条件下,土壤CO2释放量不同,林地释放量大于草地,草地释放量大于裸地,夜间12h释放量大于白天12h释放量。     

珠江三角洲一些菜地土壤中多环芳烃的含量及来源

为了探讨珠江三角洲中心区经济发达地带的多环芳烃污染水平,为有关部门制定相关的环保政策提供依据,分析了55个分别采自广州、东莞以及佛山郊区表层菜地中土壤样品的多环芳烃的含量.16种EPA(美国环保署)规定的优先控制多环芳烃含量为58～3077 μg·kg-1,均值为315 μg·kg-1,相对于土壤标准和世界其它地区的检测结果属于中等程度污染.分析结果表明,土壤中多环芳烃的含量同土壤总有机碳、碳黑存在着显著的线性关系.通过几个常用参数分析得知,广州、东莞及佛山的多环芳烃污染来源于石化污染以及化石燃料、生物质和煤炭的燃烧.据估算,广州、东莞及佛山0～20 cm表层土壤中多环芳烃类的储量为1292t.     

污染土壤中重金属生物有效性的植物指示法研究

污染土壤中重金属生物活性的判断是污染土壤修复的关键所在。植物指示法是近年来发展起来的判断污染土壤中重金属生物可利用性的一种经济简便且可靠的方法。综述了近年来国内外科研工作者在重金属污染程度的植物指示方面所做的工作，重点阐述了用指示植物监测环境污染以及指示植物的选择问题。     

安徽庐江潜在富硒土壤硒生物有效性及其影响因素

为研究潜在富硒土壤硒生物有效性,采集安徽庐江潜在富硒地区64组水稻及对应根系土壤样品,分析土壤理化性质、土壤养分、全硒、不同形态硒及大米硒含量,采用线性回归法探究土壤硒生物有效性的影响因素.结果表明,大米硒含量（记作Se_rice,下同）为0.037~0.120 mg/kg,土壤全硒含量（记作Se_tot,下同）为0.260~1.177 mg/kg,土壤硒以腐殖酸态硒（15.5%~44.7%）、强有机态硒（12.5%~53.3%）和残渣态硒（8.1%~68.5%）为主.土壤有效硫、有效磷通过提高强有机态、腐殖酸态和浸提性硒含量并促进水稻籽实（大米）对硒的吸收,而土壤阳离子交换量（cation exchange capacity,CEC）、速效钾、全铁和全锰通过降低水稻生物可利用态硒含量（包括水溶态、腐殖酸态、强有机态和浸提性硒）抑制水稻籽实（大米）对硒的吸收.Se_tot与Se_rice显著正相关（R=0.616,P < 0.01）,非残渣态硒含量与有机质含量之比（记作NRE-Se/OM）与Se_rice相关性最强（R=0.774,P < 0.01）.土壤NRE-Se/OM、有效硫、有效铁、全锰构建的多元逐步线性对数回归模型可解释水稻籽实（大米）吸收硒的76.0%的方差.因此引入变量NRE-Se/OM,并结合土壤有效硫、有效铁和全锰能有效评价和预测研究区土壤硒生物有效性.      

株洲清水塘工业区周边土壤微生物群落特征

基于Illumina高通量测序技术分析了株洲清水塘工业区周边土壤的微生物群落特征,研究重金属污染对土壤微生物群落的影响.结果表明,土壤微生物群落的相对丰度和多样性变化趋势一致,均随着重金属污染程度增加而减小;稻田土壤平均相对丰度最高的门是变形菌门(49. 56%),其次为绿弯菌门(13. 07%)和酸杆菌门(8. 77%);较高重金属污染程度下伴随着更高丰度的变形菌门、绿弯菌门与更低丰度的硝化螺旋菌门、酸杆菌门; 4组样品的微生物群落结构相似性较高,OTU重叠度达52. 64%,丰度较高的OTU其微生物群落更趋向于相似;结合Spearman相关性分析,Cr与变形菌门显著负相关,与绿弯菌门显著正相关,Cd、Cu、Pb和Zn与硝化螺旋菌门显著负相关.以上结果表明,重金属污染是影响清水塘工业区周边土壤微生物群落结构的重要因素.     

上海宝山区农用土壤重金属分布与来源分析

以上海宝山区为典型区域,在获取216个农用表层土壤样品重金属实测数据的基础上,运用多元统计和地统计相结合的方法,对上海宝山区农用土壤重金属的含量水平、分布特征和来源进行系统分析.结果表明,上海市宝山区农用土壤重金属Cd、Hg、As、Cr、Pb、Cu、Zn的平均含量值分别为0.195、0.148、7.44、82.5、29.1、33.2、124.5 mg.kg-1,均没有超过国家土壤环境质量二级标准,但Cd、Zn、Cr、Pb、Cu、Hg元素平均含量值超过上海市土壤背景值,其中Cd、Hg、Zn最为显著,分别是对应背景值的1.50、1.48、1.45倍,呈现出明显的累积趋势.相关分析和因子分析结果显示,各元素的来源可分为三类,Zn、Cd、Hg和Pb为一类,Cr和Cu为一类,As单独为一类;前两类元素含量远高于对应元素背景值,来源主要受各种人为活动影响,As元素含量与背景值相当,各样品含量的变异程度最低,来源主要与成土母质有关.空间结构分析表明,As元素以土壤母质、地形等结构性变异为主,其它元素主要受人为活动等随机因子影响;通过对临界值概率等值线的分布分析发现,Cd、Zn、Cr、Cu、Hg来源以点源为主,来源较为集中,Pb来源相对较为分散.