Ozone and grosswetterlagen

Meteorological conditions have a decisive impact on surface ozone concentrations. In this study, an empirical model is used to explain the interdependence of ozone and grosswetterlagen. Different meteorological parameters such as air temperature, global solar radiation, relative humidity, wind direction and wind speed are used. Additional nitric oxide (NO) was taken as a representative for the emission situation and ozone maximum of the preceding day in order to evaluate the development of the photochemical situation. The dataset includes data collected over a period of three years (1992–1994) from three stations outside of Munich and one in the center of Munich. All values become variables by calculating means, sums or maxima of the basic dataset consisting of half-hour means. Seasonal periodicity of data is detected with Fourier analysis and eliminated by a division method after computing a seasonal index. The dataset is divided into three different grosswetterlagen groups, depending on main wind direction. One mostly cyclonic (westerly winds), onemixed (alternating winds) and one onlyanticyclonic (easterly winds). The last is completed with one summertime group including values from April to August. Factor analysis is performed for each group to obtain independent linear variable combinations. Overall, relative humidity is the dominant parameter, a typical value indicating meteorological conditions during a grosswetterlage. Linear multiple regression analysis is performed using the factors obtained to reveal how the ozone concentrations are explained in terms of meteorological parameters and NO. The results improve from cyclonic to anticyclonic grosswetterlagen in conformance with the increasing significance of photochemistry, indicated by the high solar radiation and high temperature, and the low relative humidity and low wind speed. The explained variance r² reaches its maximum with more than 50 % of the time in Munich center. This empirical model is applicable to the forecasting of local ozone maximum concentrations with a total standard error deviation of 8.5 to 12.8 % and, if ozone concentrations exceed 80 ppb, with a standard error deviation of 5.4 to 9.5 %.     

Re-establishment of the proper injectivity of the CO2-injection well Ktzi 201 in Ketzin, Germany

The onshore CO₂-storage site Ketzin consists of one CO₂-injection well and two observation wells. Hydraulic tests revealed permeabilities between 50 and 100 mD for the sandstone rock units. The designated injection well Ktzi 201 showed similar production permeability. After installation of the CO₂-injection string, an injection test with water yielded a significantly lower injectivity of 0.002 m³/d kPa, while the observation wells showed an injection permeability in the same range as the productivity. Several possible reasons for the severe decline in injectivity are discussed. Acidification of the reservoir interval, injection at high wellhead pressure, controlled mini-fractures and back-production of the well are discussed to remove the plugging material to re-establish the required injectivity of the well. It has been decided to perform a nitrogen lift and analyse the back-produced fluids. Initially during the lift, the back-produced fluids were dark-black. Chemical and XRD analyses proved that the black solids consisted mainly of iron sulphide. Sulphate-reducing bacteria (SRB) were detected in fluid samples with up to 10⁶ cells/ml by fluorescent in situ hybridisation (FISH) indicating that the formation of iron sulphide was caused by bacterial activity. Organic compounds within the drilling mud and other technical fluids were likely left during the well completion process, thus providing the energy source for strong proliferation of bacteria. During the lift, the fraction of SRB in the whole bacterial community decreased from approximately 32% in downhole samples to less than 5%. The lift of Ktzi 201 succeeded in the full restoration of the well productivity and injectivity. Additionally, the likely energy source of the SRB was largely removed by the lifting, thus ensuring the long-term preservation of the injectivity.     

Images of nature: collaboration at the intersection of nature, art and technology

This paper argues that interdisciplinary collaboration between the sciences, the arts/humanities and engineering will provide innovative responses to important changes in our natural environment. Specifically, it will introduce ??Images of Nature??, a case study on creative collaboration and a multi-level research project at Purdue University, headed by Prof. Shannon McMullen and Prof. Fabian Winkler. By bringing together scientists, engineers and artists, ??Images of Nature?? aims to convey the significance of new understandings of nature in images and tangible artifacts (e.g., data visualization, functional devices, generative and kinetic installations) for the public. It is our hope that this project will be the starting point for a flexible network connecting science, engineering and the arts on Purdue??s West Lafayette campus to enrich STEM education and provide a local model for STE(A)M (STEM disciplines plus Art), which emphasizes creativity and innovation; critical thinking and problem solving; flexibility and adaptability; cross-disciplinary communication and collaboration in the context of our changing natural environment.     

Aluminium production as a source of atmospheric carbonyl sulfide (COS)

Carbonyl sulfide is found as a major sulfur compound in anodic gases of commercial aluminium electrolysis. Recent spectroscopic measurements on industrial aluminium smelters found typical CO/COS ratios between 80 and 200. This results in specific COS emissions of between 1 and 7 kg/t(Al) if all COS is released into the atmosphere. In 1993 aluminium production would have been responsible for between 0.02 and 0.14 Tg of COS emissions. Currently, aluminium production does not seem to influence the total atmospheric COS budget to an extent beyond its natural variability. If recent growth rates of global aluminium production are sustained, however, COS emissions would quadruple until 2030. Together with increasing aircraft emissions into the stratosphere, an increase of the sulfate background aerosol is to be expected that could significantly enhance ozone depletion. The use of inert anodes is recommended to reduce aluminium production emissions of COS and CF₄, C₂F₆, CO₂, and CO at the same time.     

EUTROPHICATION MEASURES FOR SMALL LAKE WATER QUALITY MANAGEMENT1

ABSTRACT: Continuous measures of water quality responsiveness to changes in nutrient loadings are developed for use by environmental regulators attempting to achieve the greatest degree of water quality improvement consistent with competing uses of scarce resources. Recent contributions to the literature, based upon the nutrient loading concept, provide statistical relationships applicable to broad categories of lakes. In order to meet the requirements of water quality regulators, equations based upon USEPA survey data are developed in terms of the functional forms formulated and tested in the literature. Since recent authors have observed that much existing survey data are inappropriate for the formulation and testing of nutrient loading relationships, we have utilized results from the literature that work best with the existing data base, on grounds that such data are most inexpensively available to water quality managers. The nature of existing data limitations is discussed, and approaches to the revision of current results in light of improvements in the data base are indicated.     

A STATISTICAL MODEL FOR SMALL LAKE WATER QUALITY MANAGEMENT1

ABSTRACT: Phosphorus loading tolerances of small lakes are analyzed by means of a statistical model of lake eutrophication based upon the work of Vollenweider and Dillon. Using a sample of 195 midwestern and eastern U. S. lakes, it was found that Vollenweider and Dillon's method of predicting the trophic status of relatively deep, slow-flushing lakes can be applied to shallower lakes with much shorter retention times. The statistical model used to replicate the results of Vollenweider and Dillon is stated in detail, for convenience of application to small lake water quality management problems. The model extends the Vollenweider and Dillon results by associating each alternative phosphorous loading with a probability that a given lake can achieve or maintain noneutrophis status. It is applicable to lakes for which only minimal data are available. The major policy conclusion is that the highly variable tolerance for phosphorus loading must be considered in legislating efficient effluent limitations. The paper concludes with a comparison to a recent contribution employing a similar approach.