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Die Geologie des Elsaß
(1940)
Chronologie des plus anciennes cartes d’Amérique : (extrait d'une lettre adressée à M. Jomard)
(1835)
Physical soil properties feature high spatial variabilities which are known to affect geophysical measurements. However, these variations are not considered in most cases. The challenging task is to quantify the influence of soil heterogeneities on geophysical data. This question is analysed for DC resistivity and GPR measurements which are frequently used for near-surface explorations. To determine the pattern of electric soil properties in situ with the required high spatial resolution, geophysical measuring techniques are methodically enhanced. High-resolution dipole-dipole resistivity measurements are used to determine the electric conductivity distribution of the topsoil. Due to the small electrode separations, the actual electrode geometry has to be considered and an analytic expression for geometric factors is derived instead of assuming point electrodes. Two methods are used to determine soil permittivity with GPR:(i) the coefficient of reflection at the interface air-soil is measured with an air-launched horn antenna, (ii) the velocity of the groundwave is measured with a new setup using two receiver antennas enhancing the lateral resolution from in the best case 0.5 m for standard techniques to approximately 0.1 m with the new technique. With the optimised measuring techniques, the electric properties of sandy soils are determined in the field. Conductivity and permittivity show high spatial variability with correlation lengths of a few decimetres. Geostatistical simulation techniques are used to generate synthetic random media featuring the same statistical properties as in the field. FD calculations are carried out with this media to provide realistic synthetic data of resistivity and GPR measurements. Conductivity variations as determined in the field generate significant variations of simulated Schlumberger sounding curves resulting in uncertainties of the inverted models. Even in pedologically homogeneous sandy soil, moisture pattern and resulting permittivity variations cause strong GPR diffractions as demonstated by FD calculations. This influences the detectability of small objects such as e.g. landmines or of large reflectors as e.g. the groundwater table. Conductivity variations as typical for soils showed to have a minor effect on GPR measurements than variations of permittivity. In summary, geostatistical analysis and simulation provide a powerful tool to simulate geophysical measurements under field conditions including soil heterogeneity which can be used to quantify the uncertainty of field measurements by geologic noise.
An evaluation scheme is presented in this paper which can be used to assess groundwater vulnerability according to the requirements of the European Water Framework Directive (WFD). The evaluation scheme results in a groundwater vulnerability map identifying areas of high, medium and low vulnerability, as necessary for the measurement planning of the WFD. The evaluation scheme is based on the definition of the vulnerability of the Intergovernmental Panel on Climate Change (IPCC). It considers exposure, sensitivity and the adaptive capacity of the region. The adaptive capacity is evaluated in an actors' platform, which was constituted for the region in the PartizipA ("Participative modelling, Actor and Ecosystem Analysis in Regions with Intensive Agriculture") project. As a result of the vulnerability assessment, 21% of the catchment area was classified as being highly vulnerable, whereas 73% has medium vulnerability and 6% has low vulnerability. Thus, a groundwater vulnerability assessment approach is presented, which can be used in practice on a catchment scale for the WFD measurement planning.
Global modelling of continental water storage changes : sensitivity to different climate data sets
(2007)
Since 2002, the GRACE satellite mission provides estimates of the Earth's dynamic gravity field with unprecedented accuracy. Differences between monthly gravity fields contain a clear hydrological signal due to continental water storage changes. In order to evaluate GRACE results, the state-of-the-art WaterGAP Global Hydrological Model (WGHM) is applied to calculate terrestrial water storage changes on a global scale. WGHM is driven by different climate data sets to analyse especially the influence of different precipitation data on calculated water storage. The data sets used are the CRU TS 2.1 climate data set, the GPCC Full Data Product for precipitation and data from the ECMWF integrated forecast system. A simple approach for precipitation correction is introduced. WGHM results are then compared with GRACE data. The use of different precipitation data sets leads to considerable differences in computed water storage change for a large number of river basins. Comparing model results with GRACE observations shows a good spatial correlation and also a good agreement in phase. However, seasonal variations of water storage as derived from GRACE tend to be significantly larger than those computed by WGHM, regardless of which climate data set is used.
Constructive waterfalls
(1911)
The excavation of valleys by waterfalls is one of the best known and most effective processes by which rivers cut down the surface of the earth. The influence of waterfalls is usually regarded as solely destructive, and as always helping to lower the land. They undermine and cut backward the rock faces over which they fall : by this recession they excavate deep gorges ; and the existence of these gorges enables the adjacent country to be lowered to the level of the valIey floors. The waterfalls, moreover, empty any lakes they rnay reach in their retreat, while the ravines below the falls may drain the springs and thus desiccate the neighbouring hihlands. Observations in various countries had suggested to me that waterfalls may sometimes be constructive in stead of destructive, and that they may reserse their usual procedure, advancing instead of retreating, filling valleys instead of excavating them, and forrning alluvial plains and lakes instead of destroying them. The best illustrations I have seen of such advancing, constructive waterfalls are on some rivers of Dalmatia and Bosnia, where they occur in various stages of development. ...
The biomarker record in two different lakes in central Europe, Lake Albano and Lake Constance, is used to reflect environmental changes and lake system response during the Late Glacial and Holocene. Extractable organic compounds in lake sediments, which can be assigned to their biological source (biomarkers) function as fingerprints of past aquatic or land plant organisms. Using gas chromatography coupled with mass spectrometry, 21 different biomarkers (predominantly steroids and triterpenoids) as well as a variety of n-alkanes, nalkanols, and n-alkanoic acids could be identified in the sediment records of Lake Albano and Lake Constance. In the Holocene sediments of Lake Albano, the distribution of biomarkers such as dinosterol (dinoflagellates), isoarborinol, and diplopterol (aquatic organisms) indicate three biomarker zones: The period between 0-3,800 years BP (zone 3) is characterized by high concentrations of these biomarkers and others such as tetrahymanol and diploptene. Conversely, zone 2 (3,800-6,500 years BP) shows very low concentrations of all autochthonous biomarkers. In zone 1 (6,500–11,480 years BP), dinosterol, isoarborinol, and diplopterol range on a relatively high level, whereas diploptene and tetrahymanol display comparatively low concentrations. The results suggest at least two distinct changes in the predominance of primary producers during the Holocene, which are related to changes in the lake system such as lake mixing and water column stratification. This interpretation is consistent with previous investigations of Lake Albano sediments including pigment and hydrogen index data (Ariztegui et al., 1996b; Guilizzoni et al., 2002). Allochthonous biomarkers such as long-chain n-alkanes, amyrenones and friedelin indicate a development from forest to a more open landscape from 6,000 and 5.000 years BP, respectively. After a period of high concentrations during the first half of the Holocene, all biomarkers derived from deciduous trees exhibit relatively low values until around 1,000 years BP. Again, this is consistent with results from previous pollen investigations (Ariztegui et al., 2000). The sediment core from Upper Lake Constance comprises the Late Glacial and Holocene. It was analysed for biomarkers and inorganic tracers in order to compare the biomarker results with other proxy data from the same core. Magnetic susceptibility (MS) was measured to get a high-resolution stratigraphic framework of the core and to obtain further information about changes of the proportions of allochthonous and autochthonous input. Enhanced concentrations and accumulation rates of dinosterol (biomarker for dinoflagellates) and biogenic calcite give evidence of increasing lake productivity at the beginning of the Holocene followed by a decrease in bioproductivity after around 7,000 years BP. Younger Dryas sediments are characterized by low amounts of both dinosterol and biogenic calcite indicating a low productivity. The comparison of the concentrations and accumulation rates of b-sitosterol and stigmastanol with parameters reflecting lake productivity suggests that both steroids in Lake Constance sediments are mainly derived from terrigenous sources. Biomarkers as well as concentrations and accumulation rates of allochthonous inorganic compounds such as titanium, magnesium and strontium indicate a slightly enhanced allochthonous input after 8,500 years BP. Significant increase of erosive matter input from enhanced soil erosion is not observed before 4,000 years BP. This can be attributed to the combined effects of precipitation increase as a result of climatic deterioration and anthropogenic deforestation which is consistent with observations from other lakes in Central Europe. The MS record of Lake Constance confirms these results by tracing the climatically induced shifts of more intense bioproduction (low MS caused by increased calcite deposition) during the ‘climatic optimum’. This is followed by increasing input of terrigenous sediment compounds during colder and wetter periods which lead to higher MS values in the lake sediments. The occurrence of tetrahymanol in Lake Constance sediments questions the unambiguous use of tetrahymanol as an indicator for water column stratification. Anaerobic organic macroaggregates within the oxygenated, photic zone of the water column have to be considered as a possible living space for anaerobic microorganisms containing tetrahymanol. The direct comparison of two very different lakes Albano and Constance with respect to biomarkers indicating climate or environmental change provides a contribution to the recent biomarker research for a better understanding of biomarkers in lacustrine sediments.