有机污染物在土壤—水体系中的分配理论

介绍了有机污染物在土壤－水体系中的分配理论，该理论认为有机污染物主要被土壤有机质以非吸附的方式所吸收，所以多种污染物被同叶吸收时不存在竞争作用，而且吸收量受到土壤有机质和有机污染物分子极性的影响。有机污染物在土壤有机质－水体系中的分配系数，主要与其水溶性有关。     

有机污染物在土壤—水体系中的分配理论

介绍了有机污染物在土壤—水体系中的分配理论。该理论认为有机污染物主要被土壤有机质以非吸附的方式所吸收，所以多种污染物被同时吸收时不存在竞争作用，而且吸收量受到土壤有机质和有机污染物分子极性的影响。有机污染物在土壤有机质—水体系中的分配系数，主要与其水溶性有关。     

天然有机质疏水性定量方法及吸附预测模型

天然有机质是有机污染物在土壤和水环境中的重要赋存相，显著影响有机污染物的传输、归趋和生物有效性.有机污染物的有机碳-水分配系数是污染物迁移积累模型的核心参数.如何准确、快速地评估有机污染物在天然有机质上的吸附行为是环境科学研究的一个重要科学问题.该方向的研究内容主要包括有机污染物和天然有机质性质定量描述、有机污染物-天然有机质作用机制解析和吸附预测模型构建三个环节.学界在有机污染物-天然有机质作用机制解析方向取得了丰硕的成果，在天然有机质性质定量描述和吸附预测模型构建方向仍有广阔的发展空间.本文系统评估了现有的天然有机质疏水性定量方法和天然有机质吸附预测模型.通过对方法和模型优缺点和适用范围的系统分析，揭示了现有研究的不足，展望了未来研究的主要方向.     

有机粘土矿物对污染环境修复的研究进展

本文综述了国外在有机粘土矿物对污染环境修复研究方面的最新进展，具体介绍了利用表面活性剂制备有机粘土矿物的方法，不同类型有机粘土矿物的特征，有机粘土矿物对各种有机污染物的吸附行为及机理，在地下水污染的现场修复，土地填埋防渗添加材料和去除工业废水有机污染物等方面的应用。     

天然水中有机污染物的生物降解模拟实验方法

本文系统地介绍了天然水体中有机污染物生物降解实验室模拟的建立原则、方法和分类，并以有机污染物邻苯二甲酸二甲酯（ＤＭＰ）和二乙酯（ＤＥＰ）为例，介绍了生物降解模拟实验过程。     

环境介质中有机污染物运移的数值模型

在综合考虑有机污染物在土壤-水环境体系中扩散、吸附解吸、分配以及土壤-水界面微生物降解条件下，建立了环境介质中有机污染物迁移转化的非平衡动力学模型，并编制相应的有限元程序，利用该程序对落地原油在土壤中迁移转化非平衡模式与平衡模式进行对比模拟分析，探讨了模型参数kd、λ、λ^*的变化对有机污染物迁移的影响，为定量研究土壤中有机污染物在土壤-水环境中分配与归宿提供了可靠的理论依据，同时为土壤环境质量评价及污染预测、预报与污染防治提供科学的根据与途径．图4表1参11     

万家寨引黄工程引水中化学毒物安全性评价

采用多介质环境目标值和中国地表水环境质量标准，就万家寨引黄工程水源地水中检出的和终端水预测的主要有机污染物及重金属对健康的潜在危害进行了定量评价。结果表明，在不考虑引水工程输水模式对水质影响的情况下，有机污染物和重金属对人体的健康影响度（TAS）均大于1，同时，有机污染物中的苯，特别是邻苯二甲酸二丁酯的浓度明显超过国家标准。在考虑输水模式对水质影响的情况下，引水中有机污染物的TAS低于1，但邻苯二甲酸二丁酯的浓度仍然超过国家标准。在考虑输水模式的情况下，引水终端水中重金属的含量可达《地表水环境质量标准》（GHZB1－1999）中Ⅲ类水标准。     

藻类与有机污染物间的相互作用研究

本文就若干有机污染物对藻类的毒性效应及藻类对这些污染物的富集降解作用进行了系列研究。结果表明，不同污染物对藻类的毒性有很大差别，其中三有机锡的毒性最大。此外，不同藻类对毒物具有不同的敏感性，其中扁藻Platymonas sp.和斜生栅藻S．obliquus最敏感。藻类通过生物富集和生物降解两种途径去除水中污染物，其中，邻苯二甲酸二丁酯最容易被去除。藻类固定化能够在一定程度上增加藻类对污染物的降解。     

生物修复中有机污染物的生物可利用性

论述了土壤和地下水生物修复中有机污染物的生物可利用性。污染物的可利用性对生物修复速率和生物强化效率有重要影响。生物可利用性是指土壤和地下水中的微生物或其胞外酶对有机污染物的可接近性，它受土壤理化性质、污染物和微生物性质、污染接触时问等许多因素的综合影响。污染物的介质吸附、多相分配、老化和形成非水相基质，以及土壤微生物的吸附、过滤和沉降作用降低了污染物的可利用性。促进土壤中污染物和微生物的解吸附，增强非水相基质的溶解，加速土壤污染物与微生物之间的质量传递，可以增强污染物的可利用性和生物降解的速率。施用表面活性剂和电动力学方法可有效地增强污染物的生物可利用性。     

超临界流体萃取在研究土壤和沉积物结合态残留中的应用

许多有机污染物在土壤和沉积物中形成持久稳定的结合态残留；结合态残留对土壤和沉积物的解毒过程、污染物长期分配行为、生物可用性和生物毒性都具有重要影响。为了揭示结合态残留的形成机制及其对污染物环境行为和毒理学参数的影响，从土壤或沉积物中提取出不同结合状态的有机污染物就显得非常重要。超临界流体萃取(SFE)可以实现选择性萃取，从而得到有关污染物一基体间相互作用的信息。文章介绍了SFE应用类型、超临界流体种类以及影响SFE萃取率的因素，对SFE模拟有机污染物长期吸附／解吸行为和生物可用性研究进行了论述，并认为SFE势必发展成为土壤或沉积物中结合态残留形成机理研究、土壤修复和生态风险评价的一种强有力的技术。     

Trinkwasserschutzgebiete

Conflict are frequently observed when drinking water protection areas are to be defined and when many variants of how to protect these area are to be found. Using ten potential scenarios, a method is presented here which shows how such conflicts concerning these variants may be handled in a systematic manner. The technique is derived from the use of partially ordered sets and their visualization by Hasse diagrams. The first step is to define rankings of different variants according to each aim of protection. A further step is to define an appropriate relationship of order. It is then possible to visualize the extent of consensus and of dissension through the use of a Hasse diagram. The final step is to quantify the importance of each protection aim and the initialization of an iteration. Should a complete consensus be found, this would result in a chain of (connected) variants. Should a complete dissension be found on the other hand, an antichain would then result (i.e. where all variants are isolated).     

Application of partial order to stream channel assessment at bridge infrastructure for mitigation management

Many environmental systems and infrastructure systems are monitored using a set of indicator values that assess several aspects of site condition. The values of different indicators often convey different comparative messages for the study sites. The comparability between sites is analyzed within the theory of partially-ordered sets and visualized with Hasse diagrams. This paper demonstrates that properties of partially-ordered sets and the conversion of indicator scores into a rank matrix provide a manager or decision-maker with valuable information that would be lost if the monitored indicator data were aggregated only into a single index. Stream stability assessment data from 49 bridge crossing sites in the United States are used to demonstrate these techniques in prioritization and identification of restoration and maintenance needs of stream channels at bridge crossings.     

Anwendung der Hasse-Diagrammtechnik

Using four dynamic criteria, the following environmental changes were evaluated: Global warming; destruction, of the stratospheric ozone layer; eutrophication and acidification of aquatic ecosystems; photochemical smog; reduction of the available area of agricultural soils; loss of species diversity; consumption of resources; reduction of crop yield; forest decline; noise, and smell. These ecosystem changes, or negative effects, were characterized by four dynamic criteria: 1) Regional importance, 2) extent of alteration, 3) resilience and 4) irreversibility. A multi-criteria assessment, accounting simultaneously for all four criteria, requires a generalized concept of order. Here, the concept of partially ordered sets, visualized by Hasse diagrams, was used to derive a priority list of environmental changes. Highest priority was equally assigned to the loss of species diversity, the consumption of resources and the destruction of the ozone layer. However, these ecosystem changes are incomparable to each other concerning the four criteria used and thus require different management strategies.     

Different ranking methods: potentialities and pitfalls for the case of European opinion poll

Prioritization and ranking of objects are primary needs in various substantive fields. It might be said that ranking and comparison are the first step in every risk assessment procedure, whatever the ‘risk’ is intended as: social, environmental, political or economic. Often objects to be ranked are valued by a multi-dimensional attribute which is usually transformed into a composite numerical score. In spite of conventional solutions, the author agrees with recent recommendations of performing multiple ranking, keeping indicators separated. Different innovative methods are analyzed and compared: Hasse diagrams method, POSAC and Nonlinear PCA. The first one stems directly from partial order theory, the second one may be seen as an approximation of Hasse representation in a two dimensional space, whilst the third one belongs to the wide set of non-linear multivariate techniques and it is particularly suitable in handling data of categorical type. Among them, the first two methods compare objects on the basis only on order property of data, whilst the last one simultaneously performs an optimal scale of qualitative attributes and a ranking of objects. The case study is based on the Eurobarometer survey carried out in 2002, at the request of the European Commission, which collects Europeans opinion about various political and social issues. The analysis is focused on users’ level of satisfaction about access easiness, cost, quality, information received and contracts of various services of general interest, such as telephone services, power (gas and electricity) providers, water and postal utilities, urban and rail transports. Separate indicators are set up for each facet of each service within different European regions. Eventually, the ranking of European regions is performed on the basis of the overall performance of services of general interest, as perceived by users. Selected methods lead to almost alike results, still with some differentiations due to different approaches used. As it frequently occurs, each method has its own advantages and pitfalls which are here explored and compared.     

Preliminary prioritization based on partial order theory and R software for compositional complexes in landscape ecology,with applications to restoration,remediation, and enhancement

The present purpose is to provide convenient computational capability and visualizations for preliminary partial or progressive prioritization based largely on concepts of partial order theory and implemented in R software as illustrated in a context of conservation and sustainable stewardship across landscapes with ecosystem services as a complex multidimensional domain that must be placed in public and private perspective in pursuit of multi-resource management. Practical perspective is promoted by graphic visualization with local partial order modeling (LPOM) methods for screening of settings and scenarios involving interactions of ecosystem elements as evidenced by environmental indicators. ORDIT ordering and precedence plots arise from ascribed advantage as an outcome of a rating regime. Representative ranks constitute criteria drawn from the rank distribution for the case in question. Distal data are determined with regard to remediation and retention. Median mismatches reflect interplay of indicators appearing as isolated instances in plotting patterns. A suggested strategy to circumvent computational constraints is partitioning the pool of cases into collectives by clustering, pursuing classes of partitions, and then prioritizing in particular partitions. When prime prospects have been obtained, detailed determinations can be done with partial ordering procedures involving Hasse diagrams and similarly complex constructs that are difficult to apply with many cases and/or indicator criteria.     

Partielle Ordnung

The complexity of ecosystems urges that the evaluation process should avoid an aggregation of information. The reason is that although mathematical modelling has made enormous progress (object oriented programming) there is still no ecologically reasonable function of quality. The technique to compare chemicals for example, even if they are characterized by many properties, is based on the generalization of the concept of order and the method of visualization by the using Hasse diagrams. By the example of six chemicals the procedure will be explained and it will be shown that a high hazard potential of chemicals is related to different properties, which cause different ecotoxicological consequences.     

Bewertungsansatz von Umweltmonitoring-Informationssystemen in Ballungsräumen

Comprehensive data on environmental monitoring programs concerned with air pollutants like ozone (O₃), nitrogen dioxide (NO₂), nitrogen oxide (NO), carbon dioxide (CO₂) und carbon monoxide (CO), and occassionally suspended dust, benzene and other environmental chemicals, are available on the free Internet. As different monitoring information systems exist in most states or big cities of the Federal Republic of Germany, a comparison of these systems with their pros and cons is of great interest to the public. Environmental air pollutant monitoring systems in 16 states of Germany are listed and evaluated by applying 5 evaluation criteria for the differentiation of these systems. Different data-analysis methods will be applied, the Hasse diagram technique, a method derived from discrete mathematics and the partially Ordered Scalogram Analysis with Coordinates (POSAC) method, a multivariate statistical approach. The important objects, the so-called maximal or minimal objects, are detected in both methods. The Internet-based environmental monitoring systems of the states of Berlin, Bremen, Saxony-Anhalt, Baden-Wurttemberg are rated good in the evaluation approaches, whereas the information systems of the states of Brandenburg, North Rhine-Westphalia, Saxony received a rather poor ranking. The attributes of DA, way of data presentation on the Internet, and ME, type and length of measurements, were pointed out in the data-analysis methods. Multivariate explorative statistical methods offer a comprehensive tool for the graphical analysis of data-matrices. The ranking of objects is given in an effective and graphically comprehensible manner using the Hasse diagram technique. The choice and preference of the methods is problem-driven. A combination of these different methods is envisaged in the authors’ future research.     

Bewertung von Monitoringdaten der Umweltprobenbank des Bundes mit der Hasse-Diagramm-Technik

On behalf of the Federal Environment Ministry the Federal Environmental Agency operates the German Environmental Specimen Bank (ESB), which targets are to record and evaluate pollution data of selected ecological systems. Scope of the present study is to check the possibilities of the Hasse diagram technique (HDT) for the assessment of ESB data, mainly with regard to evaluations and conclusions. Xenobiotic body burden in Bream musculature (Abramis brama), measured in 1997, was exemplary used to answer these questions. Focus was put on ecosystemic assessment. The results clearly show that HDT is a valuable method for the graphical display, interpretation and comparative evaluation of pollution data. HDT visualises data qualitatively and in summary. Additionally, differences between pollution patterns are revealed, which suggest different contamination processes and entries. An ecosystemic approach of assessment is achieved by simultaneous consideration of different xenobiotics.     

Nachhaltige Entwicklung von Managementstrategien

In order to support evaluation and decision processes with respect to sustainability of management strategies, different mathematical methods can be applied. In this paper, the fundamentals of these so-called multi-criteria evaluation and decision-support instruments are presented. Moreover, advantages and disadvantages are worked out using an example data set of strategies of sustainable water management. It is shown that particularly transparency, objectivity and the degree of participation of stakeholders are the main characteristics: Whereas the Hasse diagram technique is directed to the scientifically given data matrix, and therefore yields an objective and transparent evaluation and data analysis, concordance analysis, utility function theory, PROMETHEE and AHP (analytical hierarchy process) have their preferences as participants or stakeholders in the decision process.     

Multiple indicators, partially ordered sets, and linear extensions: Multi-criterion ranking and prioritization

This paper is concerned with the question of ranking a finite collection of objects when a suite of indicator values is available for each member of the collection. The objects can be represented as a cloud of points in indicator space, but the different indicators (coordinate axes) typically convey different comparative messages and there is no unique way to rank the objects while taking all indicators into account. A conventional solution is to assign a composite numerical score to each object by combining the indicator information in some fashion. Consciously or otherwise, every such composite involves judgments (often arbitrary or controversial) about tradeoffs or substitutability among indicators. Rather than trying to combine indicators, we take the view that the relative positions in indicator space determine only a partial ordering and that a given pair of objects may not be inherently comparable. Working with Hasse diagrams of the partial order, we study the collection of all rankings that are compatible with the partial order (linear extensions). In this way, an interval of possible ranks is assigned to each object. The intervals can be very wide, however. Noting that ranks near the ends of each interval are usually infrequent under linear extensions, a probability distribution is obtained over the interval of possible ranks. This distribution, called the rank-frequency distribution, turns out to be unimodal (in fact, log-concave) and represents the degree of ambiguity involved in attempting to assign a rank to the corresponding object. Stochastic ordering of probability distributions imposes a partial order on the collection of rank-frequency distributions. This collection of distributions is in one-to-one correspondence with the original collection of objects and the induced ordering on these objects is called the cumulative rank-frequency (CRF) ordering; it extends the original partial order. Although the CRF ordering need not be linear, it can be iterated to yield a fixed point of the CRF operator. We hypothesize that the fixed points of the CRF operator are exactly the linear orderings. The CRF operator treats each linear extension as an equal voter in determining the CRF ranking. It is possible to generalize to a weighted CRF operator by giving linear extensions differential weights either on mathematical grounds (e.g., number of jumps) or empirical grounds (e.g., indicator concordance). Explicit enumeration of all possible linear extensions is computationally impractical unless the number of objects is quite small. In such cases, the rank-frequencies can be estimated using discrete Markov chain Monte Carlo (MCMC) methods.