西安市文教区表层土壤中PAHs来源及风险分析

文教区土壤环境质量直接影响学生以及职工的身体健康。本研究应用高效液相色谱仪对采集的西安市文教区表层土壤样品中的16种优控多环芳烃(PAHs)进行含量检测,分析其组分特征、来源及健康风险。结果表明,西安市文教区表层土壤中∑PAHs含量为0.290~4.147μg/g,平均值为1.515μg/g,7种致癌多环芳烃的含量为0.079~2.093μg/g,均值为0.593μg/g,土壤PAHs污染较为严重。其中4环的高环PAHs为土壤PAHs污染的主要物质,平均占∑PAHs含量的40.72%。源解析结果表明西安市文教区表层土壤中PAHs主要来源于石油燃烧、煤及生物质等的不完全燃烧。终生癌症风险评价表明西安市文教区表层土壤中PAHs污染对其生活在周围的人群产生的终生致癌风险性较小,但71.4%的样点达到严重污染水平,产生的间接影响应引起足够重视。     

The Chemistry of Soils, Rocks and Plant Bioindicators in Three Ecosystems of the Holy Cross Mountains, Poland

In June of 2000, biogeochemical study was carried out in three ecosystems of the Holy Cross Mountains (south-central Poland). This paper presents element concentrations and stable sulfur (and in one site lead) isotope ratios in rocks, detailed soil profiles, and plant bioindicators including epiphytic lichen Hypogymnia physodes (L.) Nyl., mosses (Pleurozium schreberi (Brid.) Mitt., Hypnum cupressiforme Hedw. S. Str., Hylocomium splendens (Hedw.) B.S.G.), Scots pine (Pinus sylvestris L.), common birch (Betula pendula Roth.), aspen (Populus tremula L.) and English oak (Quercus robur L.). Chemical analyses were performed with ICP-AES and AAS methods in the accredited laboratory (Central Chemical Laboratory of the Polish Geological Institute in Warsaw). The principal objective of this study was to compare the chemical composition of rocks, soils and selected plant bioindicators between investigation sites using the same methods of sample collection, preparation and analyses. The results of this study have shown that there is a high variability in concentrations of elements in plant bioindicators from the same sites that can not be explained only by soil properties or anthropogenic influence. This conclusion indicates that for biomonitoring purposes (especially with vascular plants) we cannot neglect individual features of the species examined.     

中国黄土元素背景值分异规律研究

报道了中国黄土中40个元素的背景值,并以F、Cr、Mn、Co、Ni、V、Cu、Zn、As、Se、Cd、Pb、Hg等13个元素为例,讨论了其在黄土高原的分布与含量。利用趋势面分析等数理统计方法,揭示了黄土中元素的某些环境地球化学特征及元素背景值的分异规律。结果表明,黄土的元素背景值具有三维的分异特征,黄土的质地及沉积的生物气候环境黄土是影响背景值分异的主要因素。为中国黄土的风成学说提供了佐证。     

黄土风化成土过程中主要元素迁移序列

主要研究了渭南黄土剖面中主要化学组分的分布特征、影响因素以及它们在风化成土过程中的迁移富集规律。结果表明：（1）在剖面中随着黄土与古土壤层的交替叠复，各组分含量由低-高或由高-低呈周期性变化。（2）碳酸盐含量的剧烈变化是影响黄土元素分布特征极为重要的因素，古土壤中一些组分的含量增高，主要是碳酸盐被强烈淋滤造成的相对富集。（3）在黄土风化成土过程中，CaCQ3、SiQ2、FeO、MgO、K2O、Na2O等本身的地球化学行为以迁移为主，而Al2O3、Fe2O3、TiO2等均以淀积为主。它们在黄土中的迁移能力有如下顺序：CaCO3＞FeO＞MgO＞Na2O＞K2O＞SiO2＞Al2O3＞TiO2＞Fe2O3。（4）除碳酸盐外，黄土风化成土过程中铁的变化比其它组分都明显，表现为价态以及形态的转化。铁的转化主要为就地完成．本身没有发生明显迁移。     

黄土洞穴的环境灾害效应

黄土洞穴本身是一种地质灾害,对黄土地区的运输、管道、拦蓄水工程、厂房、民居等各类工业与民用建筑构成不同程度威胁;还可促发其它地质灾害的发生和发展,恶化黄土高原地区的生态环境和地质环境。文章根据野外和室内研究所积累的资料,对黄土洞穴的地质灾害效应以及环境变化效应进行了初步研究。其研究成果不仅为黄土洞穴工程灾害的防治提供科学依据,而且还可进一步了解黄土地区水土流失的发育规律及其第四纪以来的地质环境变化状况。     

Characterisation of Organic Matter and Carbon Cycling in Rehabilitated Lignite-rich Mine Soils

Open-cast lignite mining in the Lusatian mining district resulted in rehabilitated mine soils containing up to four organic matter types: (1) recent plant litter, (2) lignite deposited by mining activity, (3) carbonaceous ash particles deposited during amelioration of the lignite-containing parent substrate and (4) airborne carbonaceous particles deposited during contamination. The influence of lignite-derived carbon types on the organic matter development and their role in the soil carbon cycle was unknown. This paper presents the findings obtained during a six year project concerning the impact of lignite on soil organic matter composition and the biogeochemical functioning of the ecosystem. The organic matter development after rehabilitation was followed in a chronosequence of rehabilitated mine soils afforested in 1966, 1981 and 1987. A differentiation of the organic matter types and an evaluation of their role within the ecosystem was achieved by the use of ¹⁴C activity measurements, ¹³C CPMAS NMR spectroscopy and wet chemical analysis of plant litter compounds. The results showed that the amount and degree of decomposition of the recent organic matter derived from plant material of the 30 year old mine soil was similar to natural uncontaminated forest soil which suggests complete rehabilitation of the ecosystem. The decomposition and humification processes were not influenced by the presence of lignite. On the other hand it was shown that lignite, which was thought to be recalcitrant because of its chemical structure, was part of the carbon cycle in these soils. This demonstrates the need to elucidate further the stabilisation mechanisms of organic matter in soils.     

黄土地基湿陷时桩的负摩阻力最大值出现深度研究

负摩阻力及中性点的定义表明,负摩阻力沿桩身(从桩顶两侧到中性点位置)的变化并不均匀,其间应存在一个最大值,最近的黄土地基浸水湿陷试验证明了这一点。本文利用该试验的资料,从理论上对桩的负摩阻力最大值出现深度进行分析研究,结果表明负摩阻力随深度的变化受到某一深度(如负摩阻力最大值处)以上土体有效重量和该深度桩周土体的有效沉降量这两个主要因素的制约,并由此推导出不同沉降性能土体湿陷时桩的负摩阻力最大值出现的深度。通过与实测资料的对比可见,本文提出的确定桩的负摩阻力最大值出现深度的理论是可信的,由此得到的计算黄土地基湿陷时桩身总的负摩阻力的方法更具合理性。     

NATURAL EROSION RATES AND THEIR PREDICTION IN THE IDAHO BATHOLITH1

ABSTRACT: Natural rates of surface erosion on forested granitic soils in central Idaho were measured in 40 m² bordered erosion plots over a period of four years. In addition, we measured a variety of site variables, soil properties, and summer rainstorm intensities in order to relate erosion rates to site attributes. Median winter erosion rates are approximately twice summer period rates, however mean summer rates are nearly twice winter rates because of infrequent high erosion caused by summer rainstorms. Regression equation models and regression tree models were constructed to explore relationships between erosion and factors that control erosion rates. Ground cover is the single factor that has the greatest influence on erosion rates during both summer and winter periods. Rainstorm intensity (erosivity index) strongly influences summer erosion rates, even on soils with high ground cover percentages. Few summer storms were of sufficient duration and intensity to cause rilling on the plots, and the data set was too small to elucidate differences in rill vs. interrill erosion. The regression tree models are relatively less biased than the regression equations developed, and explained 70 and 84 percent of the variability in summer and winter erosion rates, respectively.