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During open-cast lignite mining in Lusatia (NE Germany), iron sulfide minerals associated with lignite, are exposed to air and weather. The weathering products iron (Fe), sulfate and acids subsequently enter the fluvial-lacustrine system Spree and its tributaries.
The aim of this work was to identify and explain the evolving biogeochemical signatures (spatio-temporal patterns) in River Spree. These signatures are significantly influenced by biogeochemical turnover processes triggered by iron input. To identify the signatures, a regional field study was conducted from the inland delta Spreewald to the mouth. This study was followed by two laboratory experiments under controlled redox conditions to investigate the effect of Fe on the long-term binding of phosphorus and the degradation of particulate organic material in the iron-enriched sediments.
Characteristic elements introduced by lignite mining (iron, sulfur, aluminum, cobalt, nickel) and by urban areas (zinc, lead, copper, chromium) could be determined by means of a principal component analysis. Based on these findings, the impact range of the open-cast mining was determined to be at least ~ 90 km downstream of the Spreewald. Within the urban-influenced systems Fürstenwalde and Berlin, the urban signature is more dominant than the mining signature. By means of sequential extractions and XRD analyses of the sediments, iron binding forms and characteristic iron minerals have been additionally identified (e.g., Fe(III) oxyhydroxides, pyrite, vivianite).
Sediment analyses and column experiments have shown that iron increases the phosphorus sorption and decreases the phosphorus release in the sediments of three studied lakes of the fluvial-lacustrine system. However, the application of different phosphorus retention models for Lake Neuendorfer See showed that Fe cannot reduce the eutrophic state of the lakes along the river, since the water retention times are too short and the external phosphorus loads are too high. Additionally, lake sediments with different Fe contents have been incubated with particulate organic material. Higher Fe contents resulted in reduced emissions of the greenhouse gases CO₂ and CH₄, which can be attributed to a reduced degradation of organic matter by Fe. Possible reasons include sorption processes of (dissolved) organic matter onto Fe oxyhydroxides and toxic effects of iron on microorganisms. Nevertheless, Fe (and sulfate) are available as electron acceptors during the decomposition of organic matter in River Spree.
The findings of this work deepen the understanding of the impact of iron from mining on sulfur, phosphorus and carbon turnover processes in fluvial-lacustrine systems. As a consequence of the Fe input from the Lusatian area, the signature will persist for decades in River Spree.
Flooding of dry sediments is known to trigger pulses of microbial respiration at land-water-interfaces. The regulation of discharge variability is therefore proposed to affect the respiration balance of these sites. In this study, I assessed the impact of discharge regulation on microbial respiration associated to surface sediments at a land-water-interface of the river Spree. I developed a theoretical model, based on empirical respiration data, to estimate the two-month total respiration at the study site for three discharge scenarios. The real scenario represented the actual discharge at the study site, which was regulated by the Spremberg reservoir dam. In the unregulated scenario, the regulating effect by the dam was excluded. In the extremely regulated scenario, a hypothetical constant discharge was modeled. For each scenario, the daily discharge, the corresponding flooded areas, the extent of dry or rewetted areas, and the durations of flooding or rewetting by rain at the study site were determined. Microbial respiration rates associated to surface sediments were measured with a respirometer under flooded, dry, and rewetted conditions. The model applied these rates to the respective flooded, dry or rewetted areas of the study site, to calculate the daily areal respiration. In all sediments from the land-water-interface, a distinctive respiration pulse was measured on the first day of flooding, and higher respiration rates under flooded than under dry conditions. The discharge of the unregulated scenario was characterized by a higher variability and larger flow volume than the regulated real scenario. Due to the higher total discharge, larger areas were flooded in the unregulated scenario, the total respiration from sediments under long-term flooded conditions was therefore higher. Moreover, the daily extent of flooded areas fluctuated more strongly, hence more short-term respiration pulses upon flooding were triggered than in the real regulated scenario. The calculated total two-month respiration of the unregulated scenario exceeded that of the regulated real scenario by almost 14 %. These results suggest that discharge regulation can have a considerable negative impact on sediment-associated microbial respiration at land-water-interfaces.
In anthropogenically heavily impacted river catchments, such as the Lusatian river catchments Spree and Schwarze Elster in Germany, the robust assessment of potential impacts of climate change on the regional water resources is of high relevance for water resources management. Large uncertainties inherent in future scenarios may, however, reduce the willingness of regional stakeholders to develop and implement suitable adaptation strategies to climate change.
This thesis proposes the use of an integrated framework consisting of i) an ensemble based modelling approach and ii) the incorporation of measured and simulated meteorological and hydrological trends to consider uncertainties in climate change impact assessments. In addition, land use, as the most responsive catchment characteristic to buffer potential climate change impacts, is considered as one suitable trigger for climate change adaptation.
The ensemble based modelling approach consists of the meteorological output of four climate downscaling approaches (DAs): two dynamical and two statistical. These DAs drive different model configurations of the two conceptually different hydrological models WaSiM ETH and HBV light. The objective of incorporating measured meteorological trends into the analysis was twofold: trends in measured time series can i) be regarded as harbinger for future change and ii) serve as a mean to validate the results of the DAs. In order to evaluate the nature of the trends, both gradual (Mann Kendall test) and step changes (Pettitt test) are considered as well as temporal and spatial correlations in the data. The suitability of land use change as an adaptation strategy to climate change is evaluated in the form of different land use change scenarios: i) extreme scenarios where the entire catchment is parameterised as coniferous forest and uncultivated land and ii) scenarios of changes in crop cultivation and ii) a combination of a change in crop cultivation and forest conversion. As study areas serve three almost natural subcatchments of the Spree and Schwarze Elster (Germany).
The results of the ensemble based climate change impact analysis show that depending on the type (dynamical or statistical) of DA used, opposing trends in precipitation, actual evapotranspiration and discharge are simulated in the scenario period (2031 2060). While the statistical DAs simulate a decrease in future long term annual precipitation, the dynamical DAs simulate a tendency towards increasing precipitation. The trend analysis suggests that measured precipitation has not changed significantly during the period 1961 2006. Therefore, the strong decrease in precipitation simulated by the statistical DAs should be interpreted as a rather dry future scenario. The dynamical DAs, on the other hand, are too wet in the reference period and needed to be statistically bias corrected which destroys the physical consistency between the parameters. Concerning temperature, measured and simulated trends agree on a positive trend. The uncertainty related to the hydrological model within the climate change modelling chain is comparably low when long term averages are considered but increases during low flow events. The proposed framework of combining an ensemble based modelling approach with trend analysis on measurements is a promising approach to gain more confidence into the final results of climate change impact assessments and to obtain an increased process understanding of the interrelation between climate and water resources.
In terms of climate change adaptation, land use alternatives can have a considerable impact on the water balance components as the analysis of the extreme scenarios revealed. The scenarios of changes in crop cultivation in combination with forest conversion show, however, that the impact on the long term annual water balance is comparably low. An intra annual shift in the water balance components can be triggered which makes these scenarios suitable to reduce low flow risks during the summer. Overall, land use change can serve as one part of an integrated climate change adaptation strategy. Such as strategy needs, depending on the severity of the climate change impact, to include other, especially technical measures of water resources management, such as additional water storage, different strategies to manage the existing and new reservoirs. It may also consider additional water transfers from neighbouring, more water rich, river catchments. Regional adaptation planning needs also to consider problems related to water quality which are a consequence of the long term mining activities in the Lusatian river catchments. Last but not least, adaptation strategies should not only consider climate but also other aspects of global change.