Beitrag zur Charakterisierung und Identifizierung organischer Stoffe niederer molarer Massen in biologischen Kläranlagenabläufen

Contribution to the characterization and identification of low molecular weight organic substances in biologically treated effluent. In a review it is shown that by determination of sum parameters only 25% of low molecular weight substances <1000 Dalton in biologically treated effluent can be divided into different classes of compounds. A method is described to separate the low molecular weight compounds (freeze concentration, electrodialysis, vacuum evaporation, freeze drying) in order to identify single compounds. In a first GC-MS analysis 87 compounds, among them a high proportion of substances with hetero atoms, could be identified. Their concentrations lie between 0,1 and 3 μg/1. Only 3% of the low molecular weight fraction related to the DOC value is covered by the identified substances. Therefore it can be assumed, that a broad variety of low molecular weight compounds in very low concentrations is present in the effluent of biological treatment plants.     

东北平原农田防护林网区土地资源系统结构及动态

本文在对东北平原农田防护林网区土地资源系统基本结构分析的基础上,利用典型区域的数据对该土地资源系统动态进行分析。本区的土地资源系统进入广泛的农业开发时间仅五、六十年,但经过强人工作用,已从垦殖期转入衰竭期。只有以人工再生(高投入)的方式才能保证土地资源的永续利用,维持系统的良性循环。否则,仅仅依赖自然再生(低投入)为主要的物质能量返回形式,必然导致粮畜生产带走物质能量,造成土地肥力得不到必要补充,形成土地资源日益衰竭的恶性循环系统。     

La prévision du climat : de l'échelle saisonnière à l'échelle décennale

The atmosphere and the ocean are subject to many dynamical instabilities, which limit the time during which their behaviour can be deterministically forecasted. At longer timescales, the atmosphere can be predicted at best using statistical methods, as a response to external forcing linked to sea- and land-surface anomalies. Climate being defined as the mean of atmospheric states, it appears that it can be predicted up to a few months in advance, which is the characteristic time of the so-called slow components of the climate system. Forecasting can sometimes be extended to longer time ranges, especially when the coupled ocean–atmosphere system exhibits internal variability modes, with characteristic times of a few years. Seasonal climate forecasting is most often based upon Monte-Carlo simulations, where the various realisations correspond to slightly different initial conditions. The present sate-of-the-art in Europe (ECMWF) and/or in the USA (IRI) allows to forecast such major phenomena, as El Niño, up to six months in advance. Finally, some parameters may exhibit predictability at still longer time-ranges (inter-annual to decadal), but only for certain regions. The example of electricity production is used to underline the potentially large economical benefit of seasonal climate forecasting. To cite this article: J.-C. André et al., C. R. Geoscience 334 (2002) 1115–1127.

Résumé

L'atmosphère et l'océan sont le siège d'instabilités dynamiques, qui limitent la durée pendant laquelle il est possible d'en prévoir l'évolution de façon déterministe. Au-delà, l'atmosphère n'est plus prévisible, au mieux, que de façon statistique, en fonction du forçage externe qu'exerce(nt) sur elle l'océan et/ou la surface des continents. Le climat (au sens d'une moyenne des états atmosphériques) se révèle ainsi prévisible jusqu'à des échéances temporelles de quelques mois, échelle de temps caractéristique des composantes dites « lentes » du système climatique. La prévision peut s'étendre à des échéances parfois plus longues, dans le cas où le système couplé océan–atmosphère posséderait des modes de variabilité temporelle de périodes caractéristiques de quelques années. La prévision climatique saisonnière est très souvent construite à partir de simulations de type Monte-Carlo, avec des ensembles de réalisations utilisant des conditions initiales légèrement différentes. Dans l'état actuel de ces prévisions, qu'elles soient réalisées en Europe (CEPMMT) ou aux États-Unis (IRI), il est possible de prévoir environ six mois à l'avance un certain nombre de phénomènes climatiques, en particulier ceux liés aux épisodes dits « El Niño », pour lesquels l'amplitude des variations est suffisamment importante. Il existe, par ailleurs, une prévisibilité à encore plus longue échéance (inter-annuelle à décennale), mais seulement pour certains paramètres et certaines régions. L'exemple de la production d'électricité montre l'importance économique potentielle très grande de la prévision climatique saisonnière. Pour citer cet article : J.-C. André et al., C. R. Geoscience 334 (2002) 1115–1127.     

Evaluation of a Quality Control Monitor Material for the Routine Electron Probe Microanalysis of Kimberlite Exploration Garnets

Election probe microanalysis of indicator minerals is extensively used in the exploration for kimberlite deposits, the evaluation of specific kimberlite occurrences for their diamond bearing potential and to classify grains into different chemical and lithological mantle associations. Kimberlite exploration programmes can involve several tens of thousands of indicator mineral analyses. Procedures for monitoring data quality and consistency of analyses across large data sets are commonly absent. Suitable monitor minerals should be used to verify the data quality of kimberlite exploration and evaluation data sets. This material should have a suitable composition, be homogenous, be available in sufficient quantities and have a similar appearance to the unknown samples. Garnet P1, a megacryst garnet from the Premier kimberlite, was found to have a suitable composition as a monitor for kimberlite garnet analyses. Data were collected on the monitor material at regular intervals during routine analyses, over an extended period, both as a fixed grain mounted on the sample holder and as separate grains set within batches of routine samples. The data were evaluated to assess the quality and consistency in the analyses of large data sets over time. The monitor material was also analysed at independent laboratories using their routine analytical set-up and calibration procedures for comparative purposes. Values are given for the mean ± 2s range, which can serve as guide values for acceptable analyses for all elements.     

Statistical and geostatistical investigations into the effects of the Gabcikovo hydropower plant on the groundwater resources of northwest Hungary / Analyses statistiques et géostatistiques des effets de la centrale hydroélectrique de Gabcikovo sur les ressources en eaux souterraines du Nord-Ouest de la Hongrie

Abstract

Abstract The construction of the Gabcikovo hydropower plant and the diversion of the Danube River over 25 km into an artificial channel in 1992 influenced the groundwater regime of the region considerably. Statistical and geostatistical methods are used to quantify changes of different groundwater characteristics on the Hungarian side of the river based on observations in the time period 1960–2000. External drift kriging was used to interpolate groundwater levels and the other related variables. While mean groundwater levels did not change appreciably, there are significant changes in the variability. Standard deviations of the groundwater levels and the amplitude of the annual cycle decreased near the old river bed of the Danube. The water-level fluctuations of the Danube have a decreased influence on the groundwater dynamics. Interrelationships between water levels in wells have also changed.     

Fuzzy logic model approaches to daily pan evaporation estimation in western Turkey / Estimation de l’évaporation journalière du bac dans l’Ouest de la Turquie par des modèles à base de logique floue

Abstract

Abstract Evaporation is one of the fundamental elements in the hydrological cycle, which affects the yield of river basins, the capacity of reservoirs, the consumptive use of water by crops and the yield of underground supplies. In general, there are two approaches in the evaporation estimation, namely, direct and indirect. The indirect methods such as the Penman and Priestley-Taylor methods are based on meteorological variables, whereas the direct methods include the class A pan evaporation measurement as well as others such as class GGI-3000 pan and class U pan. The major difficulty in using a class A pan for the direct measurements arises because of the subsequent application of coefficients based on the measurements from a small tank to large bodies of open water. Such difficulties can be accommodated by fuzzy logic reasoning and models as alternative approaches to classical evaporation estimation formulations were applied to Lake Egirdir in the western part of Turkey. This study has three objectives: to develop fuzzy models for daily pan evaporation estimation from measured meteorological data, to compare the fuzzy models with the widely-used Penman method, and finally to evaluate the potential of fuzzy models in such applications. Among the measured meteorological variables used to implement the models of daily pan evaporation prediction are the daily observations of air and water temperatures, sunshine hours, solar radiation, air pressure, relative humidity and wind speed. Comparison of the classical and fuzzy logic models shows a better agreement between the fuzzy model estimations and measurements of daily pan evaporation than the Penman method.     

Rhinocerotid tooth enamel 18O/16O variability between 23 and 12 Ma in southwestern France

The relationship between the oxygen isotope ratio of mammal tooth enamel and that of drinking water was used to reconstruct changes in the Miocene oxygen isotope ratio of rainfall (meteoric water ${\delta }^{18}$O_MW). These, in turn, are related to climatic parameters (temperature, precipitation and evaporation rate). ${\delta }^{18}$O values of rhinocerotid teeth from the Aquitaine Basin (southwestern France) suggest a significant climatic change between 17 and 12 Ma, characterized by cooling together with precipitation increase, in agreement with other terrestrial and oceanic records. To cite this article: I. Bentaleb et al., C. R. Geoscience 338 (2006).     

Constructing regional advantage in non-metropolitan regions: A comparison between La Pocatière (Canada) and Tromsø (Norway)

The construction of regional advantage has recently been emphasized by scholars as a new way of increasing firms’ competitiveness in a globalizing and learning economy. This article compares the construction of regional advantage and the development paths of specific industries in two different types of non-metropolitan regions, La Pocatière in Canada and Tromsø in Norway. The authors observe a higher level of industrial dynamism in La Pocatière than in Tromsø. They find four explanations for this variation: (1) a narrower regional innovation system (RIS) in Tromsø; (2) the fact that the target industry in Tromsø (marine biotechnology) is, in general, more difficult to develop outside metropolitan regions than the diverse mechanical engineering industry found in La Pocatière; (3) a biased focus on the development of research-based knowledge and academic spin-offs in Tromsø compared with a more varied set of strategies used in La Pocatière; and (4) La Pocatière's location in proximity to the Quebec metropolitan region.     

熊耳山地区内生金矿床成矿系列

按容矿空间和控矿因素,可将熊耳山地区内生金矿床划分为角砾岩型、构造破碎带蚀变岩型、石英脉型及由不同控矿因素复合控制的复合类型等。空间上不同类型之间具有密切的共生过渡关系。太华群原岩中的金在变质热液作用下被活化迁移至有利的构造部位,发生局部富集,形成"矿胚"或"矿胚"的发展,并为后期岩浆热液再次搬运,参与成矿。燕山中晚期钙碱性岩浆岩具较大的成矿能力,是本区金矿床的主要矿源。不同类型矿床稳定同位素及包裹体特征具相似的变化特点,分析表明,成矿流体主要源自岩浆,在成矿早期和晚期,不同地区可能有不同程度的变质水或大气水加入。作者认为,区内不同类型的金矿床是在统一的大地构造环境和成矿背景中形成的,有统一的矿质和介质来源,具相同或相似的成因,以发育角砾岩型金矿床为特点,以构造破碎带蚀变岩和角砾岩型为主要矿床类型,形成一个特定的矿床组合,即熊耳山地区内生金矿床系列。     

Salinisation de l’aquifère libre de la Chaouia côtière (Azemmour-Tnine Chtouka), Maroc

L’aquifère libre de la Chaouia côtière constitue un exemple des aquifères les plus exploités au Maroc. Ce travail est consacré à l’étude des processus de la salinisation des eaux souterraines par l’analyse physico-chimique de 39 puits répartis dans la zone. Deux types de faciès ont été révélés, l’un est chloruré-sodique dans la frange côtière ; l’autre faciès est de type chloruré bicarbonaté-calcique caractérisant les eaux exploitées dans les calcaires marneux du Crétacé. L’influence marine (aérosols et intrusion marine), la dissolution/précipitation de la roche aquifère et l’infiltration des eaux d’irrigation, sont parmi les causes de l’augmentation de la salinité des eaux souterraines, en plus de l’exploitation excessive de l’eau souterraine.