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The crude oil constituents benzene, toluene, ethylbenzene, and the three xylene isomers (BTEX) are the dominating groundwater contaminants originating from surface spill accidents by oil production facilities and with gasoline and jet fuel. Thereby BTEX posing a threat to the world´s scarce drinking water resources due to their water solubility and toxicity. An active remediation cleanup involving a BTEX event proves not only to be very expensive but almost impossible when it comes to the complete removal of contaminants from the subsurface. A favoured and common practice is combining an active remediation process focussing on the source of contamination coupled together with the monitoring of the residual contamination in the subsurface (monitored natural attenuation; MNA). MNA include all naturally occuring biological, chemical and physical processes in the subsurface. The general goal of this work was to improve the knowledge of biodegradation of aromatic hydrocarbons under anaerobic conditions in groundwater. For this groundwater and soil at the former military underground storage tank (UST) site Schäferhof – Süd near Nienburg/Weser (Niedersachsen, Germany) were sampled and analysed. The investigations were done in collaboration of the Umweltbundesamt, the universitys of Frankfurt and Bremen and the alphacon GmbH Ganderkesee. To investigate the extent of groundwater contamination, the terminal electron acceptor processes (TEAPs) and the metabolites of BTEX degradation in groundwater, six observation wells were sampled at regular intervals between January 2002 and September 2004. The wells were positioned in order to cover the upstream, the source area and the downstream of the presumed contamination source. Additionally, vertical sediment profiles were sampled and investigated with respect to spreading and concentration of BTEX in the subsurface. A large residual contamination involving BTEX is present in soil and groundwater at the studied locality. Maximum BTEX concentration values of 17 mg/kg were recorded in analysing sediment in the unsaturated zone. In the capillary fringe, values of 450 mg/kg were recorded (October 2004) and in the saturated zone maximum values of 6.7 mg/kg BTEX were detected. The groundwater samples indicate increasing BTEX concentrations in the groundwater flow direction (from 532 µg/l up to 3300 µg/l (mean values)). Biodegradation of aromatic hydrocarbons under anaerobic conditions in the sub surface at contaminated sites is characterised by generation of metabolites. From the monoaromatic hydrocarbons BTEX metabolites such as benzoic acid (BA) and the methylated homologs and C1-and C2-benzyl-succinic acids (BSA) are generated as intermediates. A solid-phase extraction method based on octadecyl-bonded silica sorbent has been developed to concentrate such metabolite compounds from water samples followed by derivatization and gas chromatography/mass spectrometry (GC/MS) of the extracts. The recovery rate range between 75 and 97%. The method detection limit was 0.8 µg/l. Organic acids were identified as metabolic by-products of biodegradation. Benzoic acid, C1-, C2- and C3-benzoic acid were determined in all contaminated wells with considerable concentrations. Furthermore, the depletion of the dominant terminal electron acceptors (TEAs) oxygen, nitrate, and sulphate and the production of dissolved ferrous iron and methane in groundwater indicate biological mediated processes in the plume evidently proving the occurrence of NA. A large overlap of different redox zones at the studied part of the plume has been observed. A important finding in this study is the strong influence of groundwater level fluctuations on the BTEX concentration in groundwater. A very dry summer in 2003 was recorded during the monitoring period, resulting on site in a drop of the groundwater level to 1.7 m and a concomitant increase of BTEX concentrations from 240 µg/l to 1300 µg/l. The groundwater level fluctuations, natural degradation and retention processes essentially influence BTEX concentrations in the groundwater. Groundwater level fluctuations have by far a stronger influence than the influence of biological degradation. Increasing BTEX concentrations are hence not a consequence of limited biological degradation. Another part of the study was to observe the isotopic fractionation of the electron acceptor Fe(III), due to biologically mediated reduction of Fe(III) to the watersoluble Fe(II) at the site and first field data are presented. Both groundwater and sediment samples were analysed with respect to their Fe isotopic compositions using high mass resolution Multi Collector-Inductively Coupled Plasma-Mass Spectrometry (MC-ICP-MS). The delta56Fe -values of groundwater samples taken from observation wells located downstream of the source area were isotopically lighter than delta56Fe -values obtained from groundwater in the uncontaminated well. The Fe isotopic composition of most parts of the sediment profile was similar to the Fe isotopic composition of uncontaminated groundwater. Thus, a significant iron isotope fractionation can be observed between sediment and groundwater downstream of the BTEX contamination.
Vorwort: Klima ist vor allem deswegen nicht nur von wissenschaftlichem, sondern auch von öffentlichem Interesse, weil es veränderlich ist und weil solche Änderungen gravierende ökologische sowie sozioökonomische Folgen haben können. Im Detail weisen Klimaänderungen allerdings komplizierte zeitliche und räumliche Strukturen auf, deren Erfassung und Interpretation alles andere als einfach ist. Bei den zeitlichen Strukturen stehen mit Recht vor allem relativ langfristige Trends sowie Extremereignisse im Blickpunkt, erstere, weil sie den systematischen Klimawandel zum Ausdruck bringen und letztere wegen ihrer besonders brisanten Auswirkungen. Mit beiden Aspekten hat sich unsere Arbeitsgruppe immer wieder eingehend befasst. Hinsichtlich der Extremereignisse bzw. Extremwertstatistik sei beispielsweise auf die Institutsberichte Nr. 1, 2 und 5 sowie die dort angegebene Literatur hingewiesen. Hier geht es wieder einmal um Klimatrends und dabei ganz besonders um die räumlichen Trendstrukturen. Der relativ langfristige und somit systematische Klimawandel läuft nämlich regional sehr unterschiedlich ab, was am besten in Trendkarten zum Ausdruck kommt. Solche regionalen, zum Teil sehr kleinräumigen Besonderheiten sind insbesondere beim Niederschlag sehr ausgeprägt. Zudem sind die räumlichen Trendstrukturen auch jahreszeitlich/monatlich sehr unterschiedlich. In unserer Arbeitsgruppe hat sich Herr Dr. Jörg Rapp im Rahmen seiner Diplom- und insbesondere Doktorarbeit intensiv mit diesem Problem beschäftigt, was zur Publikation des „Atlas der Niederschlags- und Temperaturtrends in Deutschland 1891-1990“ (Rapp und Schönwiese, 2. Aufl. 1996) sowie des „Climate Trend Atlas of Europe – Based on Observations 1891-1990“ (Schönwiese und Rapp, 1997) geführt hat. Die große Beachtung dieser Arbeiten ließ es schon lange als notwendig erscheinen, eine Aktualisierung vorzunehmen. Dies ist zunächst für den Klima-Trendatlas Deutschland geschehen, der nun für das Zeitintervall 1901-2000 vorliegt (Institutsbericht Nr. 4, 2005). Hier wird nun auch eine entsprechende Aktualisierung für Europa vorgelegt, und zwar auf der Grundlage der Berechnungen, die Reinhard Janoschitz in seiner Diplomarbeit durchgeführt hat. Dabei besteht eine enge Querverbindung zum Projekt VASClimO (Variability Analysis of Surface Climate Observations), das dankenswerterweise vom Bundesministerium für Bildung und Forschung (BMBF) im Rahmen von DEKLIM (Deutsches Klimaforschungsprogramm) gefördert worden ist (siehe Institutsbericht Nr. 6, in den vorab schon einige wenige Europa-Klima-Trendkarten einbezogen worden sind). Mit der Publikation des hier vorliegenden „Klima-Trendatlas Europa 1901-2000“ werden in insgesamt 261 Karten (davon 17 Karten in Farbdarstellung in den Text integriert) wieder umfangreiche Informationen zum Klimawandel in Europa vorgelegt. Sie beruhen vorwiegend auf linearen Trendanalysen hinsichtlich der bodennahen Lufttemperatur und des Niederschlags für die Zeit 1901-2000 sowie für die Subintervalle 1951-2000, 1961-1990 und 1971-2000, jeweils aufgrund der jährlichen, jahreszeitlichen und monatlichen Beobachtungsdaten. Die Signifikanz der Trends ist im (schwarz/weiß wiedergegebenen) Kartenteil durch Rasterung markiert. Da sich die Analyse eng an die oben zitierte Arbeit von Schönwiese und Rapp (1997) anlehnt, wo ausführliche textliche Erläuterungen zu finden sind (ebenso in Rapp, 2000) wurde hier der Textteil sehr knapp gehalten.
Long-term average groundwater recharge, which is equivalent to renewable groundwater resources, is the major limiting factor for the sustainable use of groundwater. Compared to surface water resources, groundwater resources are more protected from pollution, and their use is less restricted by seasonal and inter-annual flow variations. To support water management in a globalized world, it is necessary to estimate groundwater recharge at the global scale. Here, we present a best estimate of global-scale long-term average diffuse groundwater recharge (i.e. renewable groundwater resources) that has been calculated by the most recent version of the WaterGAP Global Hydrology Model WGHM (spatial resolution of 0.5° by 0.5°, daily time steps). The estimate was obtained using two state-of-the-art global data sets of gridded observed precipitation that we corrected for measurement errors, which also allowed to quantify the uncertainty due to these equally uncertain data sets. The standard WGHM groundwater recharge algorithm was modified for semi-arid and arid regions, based on independent estimates of diffuse groundwater recharge, which lead to an unbiased estimation of groundwater recharge in these regions. WGHM was tuned against observed long-term average river discharge at 1235 gauging stations by adjusting, individually for each basin, the partitioning of precipitation into evapotranspiration and total runoff. We estimate that global groundwater recharge was 12 666 km3/yr for the climate normal 1961–1990, i.e. 32% of total renewable water resources. In semi-arid and arid regions, mountainous regions, permafrost regions and in the Asian Monsoon region, groundwater recharge accounts for a lower fraction of total runoff, which makes these regions particularly vulnerable to seasonal and inter-annual precipitation variability and water pollution. Average per-capita renewable groundwater resources of countries vary between 8 m3/(capita yr) for Egypt to more than 1 million m3/(capita yr) for the Falkland Islands, the global average in the year 2000 being 2091 m3/(capita yr). Regarding the uncertainty of estimated groundwater resources due to the two precipitation data sets, deviation from the mean is 1.1% for the global value, and less than 1% for 50 out of the 165 countries considered, between 1 and 5% for 62, between 5 and 20% for 43 and between 20 and 80% for 10 countries. Deviations at the grid scale can be much larger, ranging between 0 and 186 mm/yr.
This paper investigates the value of observed river discharge data for global-scale hydrological modeling of a number of flow characteristics that are e.g. required for assessing water resources, flood risk and habitat alteration of aquatic ecosystems. An improved version of the WaterGAP Global Hydrology Model (WGHM) was tuned against measured discharge using either the 724-station dataset (V1) against which former model versions were tuned or an extended dataset (V2) of 1235 stations. WGHM is tuned by adjusting one model parameter (γ) that affects runoff generation from land areas in order to fit simulated and observed long-term average discharge at tuning stations. In basins where γ does not suffice to tune the model, two correction factors are applied successively: the areal correction factor corrects local runoff in a basin and the station correction factor adjusts discharge directly the gauge. Using station correction is unfavorable, as it makes discharge discontinuous at the gauge and inconsistent with runoff in the upstream basin. The study results are as follows. (1) Comparing V2 to V1, the global land area covered by tuning basins increases by 5% and the area where the model can be tuned by only adjusting γ increases by 8%. However, the area where a station correction factor (and not only an areal correction factor) has to be applied more than doubles. (2) The value of additional discharge information for representing the spatial distribution of long-term average discharge (and thus renewable water resources) with WGHM is high, particularly for river basins outside of the V1 tuning area and in regions where the refined dataset provides a significant subdivision of formerly extended tuning basins (average V2 basin size less than half the V1 basin size). If the additional discharge information were not used for tuning, simulated long-term average discharge would differ from the observed one by a factor of, on average, 1.8 in the formerly untuned basins and 1.3 in the subdivided basins. The benefits tend to be higher in semi-arid and snow-dominated regions where the model is less reliable than in humid areas and refined tuning compensates for uncertainties with regard to climate input data and for specific processes of the water cycle that cannot be represented yet by WGHM. Regarding other flow characteristics like low flow, inter-annual variability and seasonality, the deviation between simulated and observed values also decreases significantly, which, however, is mainly due to the better representation of average discharge but not of variability. (3) The choice of the optimal sub-basin size for tuning depends on the modeling purpose. While basins over 60 000 km2 are performing best, improvements in V2 model performance are strongest in small basins between 9000 and 20 000 km2, which is primarily related to a low level of V1 performance. Increasing the density of tuning stations provides a better spatial representation of discharge, but it also decreases model consistency, as almost half of the basins below 20 000 km2 require station correction.
Large-scale hydrological modelling has become increasingly wide-spread during the last decade. An annual workshop series on large-scale hydrological modelling has provided, since 1997, a forum to the German-speaking community for discussing recent developments and achievements in this research area. In this paper we present the findings from the 2007 workshop which focused on advances and visions in large-scale hydrological modelling. We identify the state of the art, difficulties and research perspectives with respect to the themes "sensitivity of model results", "integrated modelling" and "coupling of processes in hydrosphere, atmosphere and biosphere". Some achievements in large-scale hydrological modelling during the last ten years are presented together with a selection of remaining challenges for the future.