Geochemical evidence of pollutants from coalfired generating stations in late Pleistocene palaeosols in the Dalijia Shan,northwestern China

Surface palaeosols in two tills and a diamicton from an area in northwestern China were analysed for geochemical pollutants. Elevated levels of Br, As and Sb indicate that pollution from coal-burning and/or coal-fired electricity generating stations is delivered by aeolian transport into palaeosols dating from the last glaciation. Because the climate in the field area is sub-humid (precipitation <760 mm) the relative movement of soluble elements in palaeosols dating from early and late stades of the last glaciation is not expected to be high. The glacial and aeolian parent materials of the palaeosols indicate differences that are probably related to their source areas and to the incorporation of geochemical pollutants.     

表面活性剂对可离子化有机化合物在黄土中吸附行为的影响

研究了2，4-二氯苯酚、2，4-二硝基苯酚和苯甲酸三种可离子化有机化合物在天然黄土和阳离子表面活性剂改性黄土中的吸附行为。讨论了DH值、离子强度和二价重金属阳离子对可离子化有机化合物在改性黄土中吸附的影响。提出了可离子化有机化合物在改性黄土中的吸附模型，吸附等温曲线可分解为两条分别代表离子和非离子形态的等温吸附曲线；其吸附行为可用双模式吸附理论来解释。在2，4-二硝基苯酚共存时，苯甲酸在改性黄土中的吸附量减小，证明竞争吸附的存在。     

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.     

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。     

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.     

亚热带土壤反硝化过程中NO-3-N对CH4排放的影响

研究了发育于不同成土母质和不同土地利用方式下的45个亚热带土壤样本,在反硝化严格厌氧培养条件下（密闭、淹水、充N₂）,加入KNO₃的处理（加入N量为200 mg·kg^-1）和不加KNO₃的空白对照对CH₄产生和排放的影响.结果表明,厌氧培养条件下无论加入KNO₃与否,CH₄的产生和排放首先取决于土壤有机碳总量水平及其有效性.对照土壤中花岗岩母质发育的土壤和KNO₃处理土壤中稻田利用方式下的土壤CH₄排放量最高.加入KNO₃显著抑制了CH₄的产生和排放,NO^-₃-N对CH₄产生的抑制效应可能较N₂O对CH₄产生的抑制效应更大.加入KNO₃处理中厌氧培养第1周内的NO^-₃-反硝化量和降低速率是决定CH₄排放量的关键因素.不加KNO₃的对照土壤中,73％的土样表现为 Fe²⁺的产生和CH₄的排放之间呈指数关系增长,表明Fe³⁺和CO₂的还原可同步进行.NO^-₃-N不仅显著抑制了CH₄的产生和排放,也抑制了Fe³⁺的还原.     

Characterizing spatial distribution and sources of heavy metals in the soils from mining-smelting activities in Shuikoushan, Hunan Province, China

The spatial variation of heavy metals in the soils in Shuikoushan mining-smelting area, Hunan Province, China, was investigated using multivariate and geo-statistic analysis. A total of 106 composite soil samples were collected in an area of about 100 km2. Concentrations of total As, Cd, Pb, Zn, Cu and Cr were measured using inductively coupled plasma mass spectrometry (ICP-MS). Arsenic and Pb were found to have a common source, indicating the same sources and spreading processes, such as aerosols and airborne particulates from smelting chimneys. Airborne sources from smelting chimneys contributed greatly to Cd in the area, which demonstrated the same dispersion pattern as As and Pb. However, two hot spots of Cd around smelters were possibly enlarged by wastewaters, demonstrating another important source of Cd in Shuikouhsan. Geo-statistic interpolated mapping demonstrated that hotspots of Zn were only found proximal to the large smelters, suggesting that Zn primarily came from the chimneys of larger smelters. The major Cu hot-spots appeared closely to the tailing dam, indicating that weathering and leaching of tailings were the major sources of Cu contamination in Shuikoushan. Our findings indicated that airborne volatile particles and aerosols contributed the most to As, Cd, Pb, Zn and Cu contamination, while Cd and Cu may also derive from the discharge of wastewater from smelters and the leaching of tailings, respectively.     

基于农户层次的陕北黄土丘陵区农业生态经济系统耦合关系研究

农业生态经济系统耦合是一个复杂的过程,是潜变量与潜变量、潜变量与可测变量及可测变量之间相互作用的结果,结构方程模型的建立很好地描述了这一复杂关系。通过对吴起县、安塞县和宝塔区共建的中尺度生态农业建设试验示范区、米脂县等3个典型区域所代表的黄土丘陵区及其各个区域农业生态经济系统结构方程模型的建立与运算,结果表明:在"退耕还林还草工程"等外力作用下,农业生态经济系统运行模式基本揭示了农业产业与农业资源相互耦合这一本质规律,但现状耦合模式并未充分利用农业资源,系统耦合效果较低。农业产业与农业资源对系统耦合的影响系数分别为0.54和0.16,农业产业和农业资源之间的相关系数只有0.28,即农业资源没有很好地支撑产业的发展,导致农业生态经济系统耦合效果不明显,存在着局部相悖的态势,潜伏了林草资源与其相关产业链网缺失现象。为此,需要强化农业产业与农业资源的互动过程,特别要发展林草及其相关产业,促进林草资源的有效利用,促使系统耦合效果的不断提高,增加经济效益。     

硝基苯、苯胺在湿地土壤不同有机组分中的吸附特征

应用平衡法研究了湿地土壤不同有机组分对硝基苯和苯胺的吸附行为.结果表明,吸附等温线经拟合后均符合Freundlich模型,可决系数分别为R2=0.983～0.997,R2=0.963～0.991(P<0.01,n=5),土壤不同有机组分对硝基苯和苯胺的吸附表现为非线性特征,其吸附过程与有机质含量和结构有关.硝基苯和苯胺在湿地土壤中的吸附主要受腐殖酸、易氧化有机质组分和脂类化合物的影响,其中腐殖酸对硝基苯和苯胺具有最大的吸附容量;脂类化合物表现为与硝基苯、苯胺竞争土壤有机质结构中的吸附位点,去除脂类化合物后残余物的吸附量增大;矿物组分对硝基苯和苯胺的吸附是次要的,吸附容量仅为2.31mg·kg-1和3.63mg·kg-1.硝基苯和苯胺的Koc值分别按如下顺序增加:碱提取残余物<原始土<过氧化氢氧化残余物<苯/甲醇提取残余物,原始土<苯/甲醇提取残余物<过氧化氢氧化残余物<碱提取残余物.