水环境中的碘化X-射线造影剂及其去除工艺研究进展

碘化X-射线造影剂(Iodinated X-ray contrast media,ICM)在水环境中被广泛检出,因其近期被发现是碘化消毒副产物的前体物而受到越来越多的关注.本文总结了ICM在污水、地表水和饮用水等水环境中的污染现状;分析了ICM的转化产物及转化机制;重点介绍了ICM的去除工艺,包括高级氧化技术、辐射技术以及生物降解转化技术;讨论了ICM及其降解转化产物可能对环境造成的生态风险.最后,本文对未来ICM的研究前景进行了展望.     

Review of the application of quantum dots in the heavy-metal detection

Heavy-metal contamination is a major concern, as excessive heavy metals produce environmental pollution, and the cumulative effects of heavy metals in vivo pose a major threat to human health. There is an urgent need for a rapid, sensitive, and efficient method for detecting heavy metals. Quantum dots (QDs) are in the category of semiconductor nanocrystals whose radii are less than or close to the exciton Bohr radius. QDs possess a potential in the biological and medical fields to function as a new type of fluorescent marker, because of their unique and tunable photophysical properties, which include broad excitation spectrum, narrow emission spectrum, tunable emission wavelengths, and negligible photobleaching. In recent years, QDs made significant progress in quantitative analysis by providing a new approach for determination of chemical content analysis. The aim of this study was to review the research progress of QD detection of heavy metals in water and consider the challenges and future outlook for QD-based sensors for heavy-metal ions.     

济南市表层土壤中PAHs的分布、来源及风险分析

以山东省济南市为研究区域,采集测定了35个表层土壤样品中16种优先控制PAHs的含量,在此基础上对其组成特征、来源和环境风险进行了分析.结果表明,16种PAHs在所有样品中均具有较高的检出率,部分达到100%.含量范围为55.8—1.24×104μg·kg-1,平均值1.27×103μg·kg-1,中位值263μg·kg-1,低于已报道的我国其他地区表层土壤PAHs的污染水平.各功能区含量高低顺序为工业区、交通繁忙区、商业居民区和农田.PAHs组成分析与因子分析表明,济南市表层土壤中PAHs为混合源,煤、石油等化石燃料不完全燃烧作用占优势.16种PAHs的Bap总毒性当量浓度(TEQBa p)在0.54—1.37×103μg·kg-1之间,7种致癌性PAHs的TEQBap占总TEQBap的98.9%,是环境风险的主要贡献者.农田土壤风险水平较低,工业区土壤风险水平较高,需要管理部门特别注意.     

基于放射性碳分析的多环芳烃源解析:技术进展和准确性评估

化石燃料燃烧和生物质燃烧是污染物多环芳烃(polycyclic aromatic hydrocarbon,PAHs)的两大来源.放射性碳(14C)分析近年用于评估这两类源对环境中PAHs的相对贡献.此方法基于化石燃料和生物质的14C含量差异,即化石燃料不含14C,而生物质的14C浓度有一个较稳定值.14C的自然丰度极低(约10-12),因此检测PAHs这样的痕量污染物的14C含量一度极具挑战.1990年代中期,加速器质谱的技术突破使得对环境样品PAHs的14C分析具有实用价值.要准确测出PAHs的14C含量,须先从化学成分复杂的环境样品中分离出高纯度的PAHs.制备气相色谱因其出色的分离能力而成为目前环境样品PAHs14C分析必备的工具.本文意在简介基于14C分析的PAHs源解析的基本原理、技术进展,以及评估该方法获得的PAHs源解析结果的准确性.     

灰色关联分析中分辨系数的确定方法

通过实例计算表明，在进行灰色关联分析时，分辨系数的变化将导致关联度的变化而影响关联序。从最大信息量和最大信息分辨率出发，给出了确定分辨系数的计算公式。     

基于OMI数据的东南沿海大气臭氧浓度时空分布特征研究

基于臭氧监测仪(OMI)卫星反演数据,对2005—2018年东南沿海5省区域大气臭氧柱浓度数据进行提取及分析,探讨其时空分布格局及影响因素.结果表明:①在时间变化上,14年间,该区域大气臭氧柱浓度整体呈先上升后下降的趋势,2005—2013年臭氧柱浓度持续升高,最高值为324.52 DU,高值区不断向南部区域扩大;2013—2018年臭氧柱浓度呈下降趋势,最低值为228.27 DU,但在2017、2018年略有上升.②在空间分布上,臭氧柱浓度自北向南逐渐降低,高值区集中分布在江苏及浙江省北部;低值区集中于福建省南部及广东省大部分地区.③在季节变化上,大体呈现出春夏季高于秋冬季,高值区在春夏季交替出现,秋季略高于冬季,但差异不明显.④稳定性分析表明:研究区臭氧柱浓度整体呈现中部分散、南北部集聚、差异较显著的分布格局.⑤自然因素中,风向、气温均呈现显著正相关,江淮地区的梅雨季节(降水)及华南地区的台风和暴雨也起到显著作用.⑥人文因素中,臭氧柱浓度与地区生产总值、各产业生产总值及机动车保有量均表现出正相关,其中,臭氧柱浓度与第二产业的相关度最高.另外,臭氧柱浓度与NO_x排放量表现出显著相关性.VOC_s对臭氧柱浓度的影响中,工业源是主控因素,交通源和居民源次之,电厂源对臭氧柱浓度的影响最弱.这进一步说明臭氧浓度的变化受到了诸多因素的综合影响,但气温、NO_x及VOC_s的排放是臭氧浓度变化的主导因素.     

Evaluation of ecological network analysis: Validation of output

Ecological network analysis (ENA) is a modeling approach increasingly being used to evaluate food webs and provide an ecosystem-based approach to resource management. Unfortunately, validation of ENA output is rarely performed. This study represents part of a larger effort to critically evaluate ENA. Here we validate ENA output using stable isotope analysis (SIA), and where validation is not met, determine the effects of modifying trophic networks to reflect validation.     

Forest growth in the light of the thermodynamic theory of ecological systems

The observed growth of a particular forest stand can be described by many models and explained by some of them. The forest growth models are also successfully applied for extrapolating the growth curve. However, the known models of forest growth are not “one-point” models. They are not designed to predict the future growth of a forest stand from its current state: the model parameters either are not directly measurable or cannot be measured with relevant accuracy. This article is an attempt to use Jørgensen–Svirezhev theory as a new clue to the choice of variables that determines forest growth. The postulates of this theory combined with the pipe theory of tree growth lead to conclusion that biomass of a stand should be proportional to the four-fifths power of its age. Empirical validation, however, disclosed that calendar age is rather approximate measure of ecosystem ontogeny. Delayed development or intensive thinning of a forest stand at the early stages leads to rejuvenation bias. Thus derived 4/5-law model approximates well-known Chapman–Richards model in the neighborhood of the inflection point, and is applicable to middle-aged forest stands.     

Electricity consumption: The growth pattern as an ecological indicator

Ecological problems are mainly caused by growth processes. The energy input is a key indicator for ecosystems. In this context, the use of the most valuable kind of energy is of special importance. Economic systems may be considered as special ecosystems. The most valuable kind of energy used in economic systems of industrialised countries is electricity. For some industrialised countries the growth pattern of electricity consumption and its relation to the gross domestic product is considered in this contribution. A linear relation between both indicators for about 3 decades after the Second World War and a coupling of these indicators starting at 1973 has been found. The aim of the contribution is to present this relation and to initiate a discussion about its reason and its interpretation.