No description available.

No description available.

Driven by many factors, the water supply services (streamflow and groundwater) of many rivers in the dryland area of China have declined significantly. This aggravates the inherent severe water shortages and results in increased severity in the water use conflicts that are threatening sustainable development in the region. Innovative strategies towards more water-efficient land management are vital for enhancing water quantity to ensure water supply security. A key step in the successful development and implementation of such measures is to understand the response of hydrological processes and related services to changes in land management and climate. To this end, it was decided to investigate these processes and responses in the upper reaches of the Jing River (Jinghe), an important meso-scale watershed in the middle reaches of the Yellow River on the Loess Plateau (NW China). It has been shown that vegetation restoration efforts (planting trees and grass) are effective in controlling soil erosion on the Loess Plateau. Shifts in land cover/use lead to modifications of soil physical properties. Yet, it remains unclear if the hydraulic properties have also been improved by vegetation restoration. A better understanding of how vegetation restoration alters soil structure and related soil hydraulic properties, such as water conductivity and soil water storage capacity, is necessary. Three adjacent sites, with comparable soil texture, soil type, and topography but contrasting land cover (Black locust forest, grassland, and cropland), were investigated in a small catchment in the upstream Jinghe watershed (near Jingchuan, Gansu province). Seasonal variations of soil hydraulic properties in topsoil and subsoil were examined. Results revealed that the type of land use had a significant impact on field-saturated, near-saturated hydraulic conductivity, and soil water characteristics. Specifically, conversion from cropland to grass or forests promotes infiltration capacity as a result of increased saturated hydraulic conductivity, air capacity, and macroporosity. Moreover, conversion from cropland to forest tends to promote the formation of mesopores that increase soil water storage capacity. Tillage in cropland temporarily created well-structured topsoil, but also compacted subsoil, as indicated by low subsoil saturated hydraulic conductivity, air capacity, and plant available water capacity. An impact of land cover conversion on unsaturated hydraulic conductivities was not identified, indicating that changes in land cover do not affect functional meso- and microporosity. Changes in soil hydraulic properties and associated hydrological processes and services due to soil conservation efforts need to be considered, should soil conservation measures be implemented in water-limited regions for sustaining adequate water supply. To differentiate between the impacts of land management and climate change on streamflow, the variation of annual streamflow, precipitation, potential evapotranspiration, and climatic water balance in a small catchment of the upstream Jinghe watershed (near Pingliang, Gansu province) was examined during the period of 1955 – 2004. During this time the relative contributions of changes in land management and climate to the reduction of streamflow were estimated. A statistically significant decreasing trend of -1.14 mm y-1 in annual streamflow was detected. Furthermore, an abrupt streamflow reduction due to afforestation and construction of terraces and check-dams was identified around 1980. Remarkably, 74% of the total reduction in mean annual streamflow can be attributed to the soil conservation measures. Among various conservation measures, streamflow could be considerably reduced by afforestation and terracing (including damland creation), due to their low contribution to water yield. In contrast, slope farmland and grassland can maintain a certain level of water supply services due to higher runoff coefficients. According to a meta-analysis of the published studies on the Loess Plateau, the impact of changes in land management on annual streamflow appears to diminish with increasing catchment size while the impact of climate change appears uniform across space. This means that there is a dependency between the catchment size and the response of hydrological processes to environmental change. At least at the local scale, it appears that well-considered land management may help to ensure the water supply services. Due to limited surface water availability, groundwater is an essential water source for supporting ecosystem and socio-economic development in the dryland region. However, the groundwater process is susceptible and vulnerable to changes in climate and landscape (i.e., land cover and form) that in turn can result in profound adverse consequences on water supply services in water-limited regions. In addition, an improved understanding of the response of groundwater related processes to natural and artificial disturbances is likely to ensure more secure and more sustainable governance and management of such regions, as well as better options for adapting to climate change. Yet, this topic has seldom been researched, especially in areas that have already experienced large-scale alteration in landscape and are located in dryland regions, such as the Loess Plateau. Therefore, an investigation of the baseflow variation along the landscape change was conducted. The average annual baseflow has significantly decreased at catchment scale during the period of 1962 – 2002 without any obvious significant change in climate. At decadal scale, the reduction accounts for approximately 9% in the 1970s, 48% in the 1980s, and 92% in the 1990s, while the baseflow index declines averaging 5%, 16% and 67%, respectively. All of the monthly baseflow levels dropped at varying rates except in January, among which July was the most severe in terms of both magnitude (-4.17) and slope (-0.09 mm y-1). In perspective of landscape change, landform change (terrace and check-dam) tends to reduce baseflow by reallocation of surface fluxes and retention for crop growth causing limited deep drainage in other areas. Land cover change (i.e., afforestation) reduced the baseflow to a larger extent by enhanced evapotranspiration and thus hampered deep drainage as suggested by the soil moisture measurement underneath. The study indicates that knowledge about baseflow formation on catchment scale needs further improvement. Integrated soil conservation and water management for optimizing landscape structure and function in order to balance soil (erosion) and water (supply) related hydrological ecosystem services is vital. The governing processes to the changes of water-supply-services-related hydrological process (e.g., streamflow) are assumed to be different across space. To this end, the factors controlling streamflow were investigated on both a small and large scale. Streamflow in small catchments was found to be mainly controlled by precipitation and land cover type. On a larger scale, evaporative demand was found to be another additional major driving force. Hydrological modeling is a frequently used tool for the assessment of impacts of land use and climate change on water balance and water fluxes. However, application of the Soil and Water Assessment Tool (SWAT) model in the upstream Jinghe watershed was unsuccessful due to difficulties in calibration. The inability of the SWAT model to take the influence of terraces on steep slopes into consideration and the method how to calculate lateral flow were the main reasons for unsatisfactory calibration, at least for the current version of SWAT used in this study. Alternatively, Budyko’s frameworks were applied to predict the annual and long-term streamflow. However, the effect of changes in land management (e.g., afforestation) on streamflow could not be assessed due to a lack of vegetation factors. Therefore, an empirical analysis tool was derived based on an existing relationship for estimation. This method was found to be the most effective in reproducing the annual and long-term streamflow. The incorporation of temporal changes in land cover and form in the approach enables the estimation of the possible impact of soil conservation measures (e.g., afforestation or terracing). The importance of adaptive land management strategies for mitigating water shortage and securing the water supply services on the Loess Plateau was highlighted. A cross-sectoral view of the multiple services offered by managed ecosystems at different spatial scales under changing environments needs to be integrated to improve adaptive land management policy. In a water limited environment, such as the Loess Plateau, multiple ecosystem services including hydrological services need to be balanced with minimum trade-offs. This can only be achieved when management is based on a holistic understanding of the interdependencies among various ecosystem services and how they might change under alternative land management.

In dem Bericht werden Methoden und Ergebnisse experimenteller Untersuchungen an verfügbaren Ortsdosisleistungsmessgeräten in Feldern gepulster, ionisierender Strahlung beschrieben. Es zeigte sich, dass die meisten Messgeräte nur erheblich eingeschränkt für die Messung dieser Art Strahlung geeignet sind. Ionisationskammern, soweit einsetzbar, stellen das geeignetste der untersuchten Messprinzipien dar. Felder gepulster Strahlung treten bei einer Vielzahl industrieller, medizinischer und wissenschaftlicher Anwendungen auf. Die Veröffentlichung richtet sich an die in diesen Bereichen tätigen Strahlenschützer.

In der Studie wurden in der Intensivtierhaltung eingesetzte Abluftreinigungsanlagen einschließlich Lüftungssystem hinsichtlich ihres technischen Aufbaus, ihres Energieeinsatzes und ihrer Energieeffizienz untersucht. Auf dieser Basis wurden Vorschläge zur Steigerung der Energieeffizienz erarbeitet. Aus der Betrachtung von zwei sächsischen Schweinehaltungsbetrieben konnten Hinweise für die Anlagenbetreiber und für Neuanlagen abgeleitet werden.

In der Broschüre wird ein neues Verfahren vorgestellt, welches zur Bewertung und Minderung von Stoffausträgen aus Ackerflächen in Oberflächengewässer entwickelt wurde. Dazu werden in einem ersten Schritt Gewässer und angrenzende Ackerschläge hinsichtlich Nutzung, Schutzstreifen und Gefahrenpunkte erfasst. In einem zweiten Schritt werden ein N- und ein P-Index berechnet, die das Stoffaustragsrisiko angeben. Die beiden Indices basieren auf einfach zu erhebenden Daten und auf einfachen Berechnungen. In einem dritten Schritt werden Maßnahmen zur Risikominderung empfohlen und deren Wirksamkeit prognostiziert. Anhand dieser Prognose können passende Schutzmaßnahmen ausgewählt werden. Das Verfahren wurde an zwei Oberflächenwasserkörpern in Sachsen erprobt. Es kann ebenso die Identifikation von Flächen mit hohem Stoffaustragsrisiko unterstützen.

Neun Fachbeiträge dokumentieren die Ergebnisse der aktuellen Projekt- und Forschungsarbeit des Landesamtes in den Themenbereichen Grundwasser, Altlasten und Boden.

The primary objective of wastewater treatment is the removal of pollutants to meet given legal effluent standards. To further reduce operators costs additional recovery of resources and energy is desired by industrial and municipal wastewater treatment. Hence the objective in early stage of planning of treatment facilities lies in the identification and evaluation of promising configurations of treatment units. Obviously this early stage of planning may best be supported by software tools to be able to deal with a variety of different treatment configurations. In chemical process engineering various design tools are available that automatically identify feasible process configurations for the purpose to obtain desired products from given educts. In contrast, the adaptation of these design tools for the automatic generation of treatment unit configurations (process chains) to achieve preset effluent standards is hampered by the following three reasons. First, pollutants in wastewater are usually not defined as chemical substances but by compound parameters according to equal properties (e.g. all particulate matter). Consequently the variation of a single compound parameter leads to a change of related parameters (e.g. relation between Chemical Oxygen Demand and Total Suspended Solids). Furthermore, mathematical process models of treatment processes are tailored towards fractions of compound parameters. This hampers the generic representation of these process models which in turn is essential for automatic identification of treatment configurations. Second, treatment technologies for wastewater treatment rely on a variety of chemical, biological, and physical phenomena. Approaches to mathematically describe these phenomena cover a wide range of modeling techniques including stochastic, conceptual or deterministic approaches. Even more the consideration of temporal and spatial resolutions differ. This again hampers a generic representation of process models. Third, the automatic identification of treatment configurations may either be achieved by the use of design rules or by permutation of all possible combinations of units stored within a database of treatment units. The first approach depends on past experience translated into design rules. Hence, no innovative new treatment configurations can be identified. The second approach to identify all possible configurations collapses by extremely high numbers of treatment configurations that cannot be mastered. This is due to the phenomena of combinatorial explosion. It follows therefrom that an appropriate planning algorithm should function without the need of additional design rules and should be able to identify directly feasible configurations while discarding those impractical. This work presents a planning tool for the identification and evaluation of treatment configurations that tackles the before addressed problems. The planning tool comprises two major parts. An external declarative knowledge base and the actual planning tool that includes a goal oriented planning algorithm. The knowledge base describes parameters for wastewater characterization (i.e. material model) and a set of treatment units represented by process models (i.e. process model). The formalization of the knowledge base is achieved by the Web Ontology Language (OWL). The developed data model being the organization structure of the knowledge base describes relations between wastewater parameters and process models to enable for generic representation of process models. Through these parameters for wastewater characterization as well as treatment units can be altered or added to the knowledge base without the requirement to synchronize already included parameter representations or process models. Furthermore the knowledge base describes relations between parameters and properties of water constituents. This allows to track changes of all wastewater parameters which result from modeling of removal efficiency of applied treatment units. So far two generic treatment units have been represented within the knowledge base. These are separation and conversion units. These two raw types have been applied to represent different types of clarifiers and biological treatment units. The developed planning algorithm is based on a Means-Ends Analysis (MEA). This is a goal oriented search algorithm that posts goals from wastewater state and limit value restrictions to select those treatment units only that are likely to solve the treatment problem. Regarding this, all treatment units are qualified according to postconditions that describe the effect of each unit. In addition, units are also characterized by preconditions that state the application range of each unit. The developed planning algorithm furthermore allows for the identification of simple cycles to account for moving bed reactor systems (e.g. functional unit of aeration tank and clarifier). The evaluation of identified treatment configurations is achieved by total estimated cost of each configuration. The planning tool has been tested on five use cases. Some use cases contained multiple sources and sinks. This showed the possibility to identify water reuse capabilities as well as to identify solutions that go beyond end of pipe solutions. Beyond the originated area of application, the planning tool may be used for advanced interrogations. Thereby the knowledge base and planning algorithm may be further developed to address the objectives to identify configurations for any type of material and energy recovery.

The elimination of natural organic matter (NOM) is an important aim of water treatment in demineralisation plants of power stations. NOM is regarded as corrosion risk factor in the steam water cycle because of its potential to decompose into low-molecular-weight (LMW) acids and carbon dioxide. Further, the removal of NOM is also one of the main objectives in the drinking water production, since it can cause i) colour, taste and odour problems, ii) formation of carcinogen halogenated disinfection by-products (DBPs) after disinfection with chlorine and iii) bacterial growth in the water distribution system. In earlier studies, it was found that anion exchange is a successful method to remove NOM fractions. However, NOM fractions with low charge density (LMW neutrals and hydrophobic organic carbon (HOC)) and/or large molecular size (biopolymers and particulate organic carbon (POC)) could not be removed in some cases in satisfying quantities. The aim of the present work was to investigate the uptake performance of different anion exchange resins (AERs) in regard to problematic NOM fractions. The AERs differ especially in their functional groups (tertiary versus quaternary amines) and matrix material (polystyrene versus polyacrylic resins). The use of different AERs provides an option to identify possible interactions between adsorbate (NOM fractions) and adsorber (AERs) as well as the mechanism which determine the removal efficiency. The NOM fraction adsorption onto AERs was studied in equilibrium and fixed-bed experiments with three types of starch with different molecular size distributions (model substances for biopolymer fraction) as well as 2-naphthol (model substance for the LMW neutral fraction) at acidic pH (relevant for water in demineralisation plants of power stations) and neutral pH (covering most raw waters). Furthermore, the NOM fraction uptake from “real” acidic and neutral water samples, obtained from a demineralisation plant of a power station, was estimated for different AERs. Results were discussed in terms of size-exclusion, anion exchange and hydrophilic/hydrophobic repulsion. In case that size-exclusion influences the NOM uptake onto AERs, it was found that the smaller the size of the NOM molecules and the higher the water content of the AERs, the more effective the uptake is. Thus, for the removal of biopolymers and POC, polyacrylic resins with high water content could be a good choice. Contrary, polystyrene AERs are the most effective resins in the removal of NOM fractions, if no size-exclusion occurs. They seem to be able to uptake more hydrophilic NOM fractions by polar/ionic interactions between acids/acidic components and tertiary/quaternary amines as well as to remove more hydrophobic NOM fractions by π-π stacking and/or hydrophobic interactions on the polystyrene matrix. Further, it was found that the higher the total volume (anion exchange) capacity of an AER, the higher its NOM removal by polar/ionic interactions can be. At acidic pH, weak/medium base AERs have higher total volume (anion exchange) capacities than strong base AERs, whereas, at neutral pH, strong base AERs have the highest ones. In view of these results, the application of polyacrylic AERs with high water content can be recommended to remove NOM components with large molecular size in demineralisation and drinking water plants. If there is a higher amount of smaller NOM fractions, especially LMW neutrals, than polystyrene weak/medium base AERs should be favoured in demineralisation plants and polystyrene strong base AERs in drinking water treatment plants. From the engineering point of view, breakthrough curve (BTC) prediction models are important for the design of fixed-bed filter. Therefore, two different BTC model approaches were tested in the present study to describe the single-solute adsorption onto AERs: i) the homogenous surface diffusion model (HSDM) with linear driving force (LDF) approach for surface diffusion, known from activated carbon adsorption, and ii) the Glueckauf/Helfferich formulae as an extension of the height equivalent to a theoretical plate (HETP) model, initially used to describe ion exchange processes. It was found that the Glueckauf/Helfferich approach is not only a suitable tool for the fast calculation of BTCs for ionic components, but it can also successfully be applied, after considering the Freundlich model for the mass balance, for the rapid prediction of BTCs for single-solute organic molecules. For competitive BTC predictions, the ideal adsorbed solution theory (IAST) within the LDF model was applied. All calculated BTCs fit the experimental data in a good manner. Thus, the investigated BTC models can be applied for estimating the breakthrough bed volumes of different AERs to avoid leakage of NOM in the drinking or demineralised water caused by overloading. / Die Entfernung von natürlichen organischen Substanzen (NOM) ist ein wichtiges Ziel für die Herstellung von Reinstwasser im Kraftwerksbetrieb, da diese sich im Wasser/Dampf-Kreislauf zu niedermolekularen Säuren und Kohlenstoffdioxid zersetzen können und so ein potentielles Korrosionsrisiko darstellen. Außerdem ist die Elimination von natürlichen organischen Substanzen einer der Schwerpunkte in der Trinkwasseraufbereitung, da NOM im Trinkwasser folgende Konsequenzen verursachen können i) Farb-, Geschmacks- und Geruchsprobleme, ii) Bildung von kanzerogen halogenierten Desinfektionsnebenprodukten nach der Desinfektion mit Chlor und iii) Bakterienwachstum im Wasserverteilungssystem. In früheren Untersuchungen wurde festgestellt, dass Anionenaustauscherharze (AERs) die NOM-Fraktionen in der Regel erfolgreich aufnehmen können. Nur NOM-Fraktionen mit geringer Ladungsdichte (niedermolekulare Neutralstoffe und hydrophober organischer Kohlenstoff) und/oder großer Molekülgröße (Biopolymere und partikulärer organischer Kohlenstoff) können unter bestimmten Bedingungen nicht in zufriedenstellender Menge entfernt werden. Ziel dieser Arbeit war es, das Aufnahmeverhalten unterschiedlicher AERs hinsichtlich problematischer NOM-Fraktionen zu untersuchen. Die AERs unterscheiden sich vor allem in ihren funktionellen Gruppen (tertiäre versus quaternäre Amine) und ihrer Matrix (Polystyren- versus Polyacryl-Harze). Die Verwendung unterschiedlicher AERs erlaubt es, mögliche Wechselwirkungen zwischen Adsorbat (NOM-Fraktionen) und Adsorber (AERs) und die Mechanismen, die die NOM-Aufnahme entscheidend bestimmen, zu identifizieren. Die Entfernung von NOM-Fraktionen durch AERs wurde in Gleichgewichts- und Festbett-versuchen mittels dreier Stärketypen mit unterschiedlicher Molekülgrößenverteilung (Modellsubstanzen für die Biopolymere) und 2-Naphthol (Modellsubstanz für die Neutralstoffe) unter sauren pH-Bedingungen (relevant für die Herstellung von Reinstwasser im Kraftwerksbetrieb) und neutralen pH-Bedingungen (bedeutsam für die meisten Rohwässer) untersucht. Außerdem sollte das Adsorptionsverhalten von AERs bezüglich verschiedener NOM-Fraktionen unter Einsatz von „real“ neutralen und sauren Wasserproben aus einer Wasseraufbereitungsanlage eines Kraftwerksbetriebes eingeschätzt werden. In dieser Arbeit konnte gezeigt werden, dass falls Größenausschluss die NOM-Aufnahme von AERs beeinflusst, dann ist die Adsorption der NOM-Fraktionen umso größer, je kleiner die NOM-Moleküle sind und je höher der Wassergehalt der AERs ist. Daher kann für die Entfernung von größeren Biopolymeren, der Einsatz von AERs mit Polyacryl-Matrix und hohem Wassergehalt die beste Option sein. AERs mit Polystyren-Matrix besitzen die höchste Aufnahmekapazität für NOM-Fraktionen, falls kein Größenausschluss auftritt. Es scheint für sie möglich zu sein, sowohl hydrophile NOM-Fraktionen durch polare/ionische Wechselwirkungen zwischen NOM Säuren/sauren Komponenten und tertiären/quaternären Aminen aufzunehmen als auch hydrophobe NOM-Fraktionen durch π-π Anziehungen und/oder hydrophobe Interaktionen an die Polystyren-Matrix zu binden. Weiterhin konnte gezeigt werden, dass je höher die Gesamtvolumenkapazität eines AERs, desto größer ist die NOM-Entfernung auf Grund von polaren/ionischen Wechselwirkungen. Es gilt, dass schwach/mittel basische AERs im Vergleich zu stark basischen AERs höhere Gesamtvolumenkapazitäten unter sauren pH-Bedingungen besitzen und stark basische AERs die höchsten Gesamtvolumenkapazitäten unter neutralen pH-Bedingungen aufweisen. Auf Grund dieser Ergebnisse ist es möglich, die Verwendung von AERs mit Polyacryl-Matrix und hohem Wassergehalt für die Entfernung von NOM-Fraktionen mit großer Molekülgröße in Reinst- und Trinkwasseraufbereitungsanlagen zu empfehlen. Falls es einen höheren Anteil von kleineren NOM-Fraktionen, im Besonderen Neutralstoffen, gibt, sollte die Verwendung von schwach/mittel basischen AERs in Vollentsalzungsanlagen von Kraft-werksbetrieben und stark basischen AERs in Trinkwasseraufbereitungsanlagen bevorzugt werden. Vor allem im Hinblick auf technische Anwendungen ist es wichtig, Durchbruchskurven (BTC) vorausberechnen zu können. In der vorliegenden Arbeit wurden zwei Modellansätze für die Berechnung von BTCs für die Einkomponentenadsorption getestet: i) das homogene Oberflächendiffusionsmodell mit linearer Triebkraft (LDF), bekannt aus Untersuchungen zur Aufnahme von NOM an Aktivkohle, und ii) die Glueckauf/Helfferich-Formeln, primär verwendet für die Beschreibung von Ionenaustauschprozessen. Es konnte gezeigt werden, dass das Glueckauf/Helfferich-Verfahren nicht nur ein geeignetes Instrument für die schnelle Berechnung von BTCs für ionische Komponenten ist, sondern dass dieses, nach Berücksichtigung des Freundlich-Ansatzes in der Massenbilanz, auch erfolgreich angewendet werden kann, um BTCs für Einkomponentenadsorption von Organika zu berechnen. Für die Vorausberechnung von BTCs für Mehrkomponentensysteme wurde die Theorie der idealen adsorbierten Lösung im LDF-Modell genutzt. Die berechneten BTCs stimmen in guter Qualität mit den experimentell ermittelten BTCs überein. Die Ergebnisse verdeutlichen, dass die untersuchten BTC-Modelle eingesetzt werden können, um Durchbruchspunkte für die jeweiligen AERs zu bestimmen und damit die Gefahr des Schlupfes von NOM ins Trink- bzw. Reinstwasser zu minimieren.

Klimawandel und Luftverschmutzung stellen zwei der größten Herausforderungen zum Schutz der Ökosysteme und zum Erhalt der biologischen Vielfalt dar. Zur Bewertung der Auswirkungen im polnisch-sächsischen Grenzraum dient das Konzept der ökologischen Belastungsgrenzen – Critical Loads (CL) genannt. CL beschreiben Grenzwerte für luftgetragene Schadstoffeinträge (Stickstoff und Schwefel), bei deren Einhaltung keine schädigenden Wirkungen auf empfindliche Ökosysteme zu erwarten sind. Der Bericht dokumentiert die für verschiedene Ökosystemtypen in Abhängigkeit von Klima- und Depositionsänderungen ermittelten CL sowie deren Überschreitung. Während die Belastungssituation durch versauernd wirkende Stoffeinträge zu vernachlässigen ist, stellt die Eutrophierung aufgrund von Stickstoffeinträgen ein hohes Risiko für die Ökosysteme dar. Maßnahmen zur Luftreinhaltung der letzten Jahrzehnte bewirken, dass der Anteil von Ökosystemen zunimmt, in denen CL eingehalten werden. Dem gegenüber erhöht sich allerdings die Empfindlichkeit der Ökosysteme hinsichtlich Eutrophierung durch die prognostizierten klimatischen Änderungen deutlich.