72 research outputs found

    Thermal seasons in northern Europe in projected future climate

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    Global warming acts to prolong thermal summers and shorten winters. In this work, future changes in the lengths and timing of four thermal seasons in northern Europe, with threshold temperatures 0 and 10 degrees C, are derived from bias-adjusted output data from 23 CMIP5 global climate models. Three future periods and two Representative Concentration Pathway (RCP) scenarios are discussed. The focus is on the period 2040-2069 under RCP4.5, which approximately corresponds to a 2 degrees C global warming relative to the preindustrial era. By the period 2040-2069, the average length of the thermal summer increases by nearly 30 days relative to 1971-2000, and the thermal winter shortens by 30-60 days. The timing of the thermal springs advances while autumns delay. Within the model ensemble, there is a high linear correlation between the modelled annual-mean temperature increase and shifts in the thermal seasons. Thermal summers lengthen by about 10 days and winters shorten by 10-24 days per 1 degrees C of local warming. In the mid-21st century, about two-thirds of all summers (winters) are projected to be very long (very short) according to the baseline-period standards, with an anomaly greater than 20 days relative to the late-20th century temporal mean. The proportion of years without a thermal winter increases remarkably in the Baltic countries and southern Scandinavian peninsula. Implications of the changing thermal seasons on nature and human society are discussed in a literature review.Peer reviewe

    Towards High Performance Relativistic Electronic Structure Modelling: The EXP-T Program Package

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    Modern challenges arising in the fields of theoretical and experimental physics require new powerful tools for high-precision electronic structure modelling; one of the most perspective tools is the relativistic Fock space coupled cluster method (FS-RCC). Here we present a new extensible implementation of the FS-RCC method designed for modern parallel computers. The underlying theoretical model, algorithms and data structures are discussed. The performance and scaling features of the implementation are analyzed. The software developed allows to achieve a completely new level of accuracy for prediction of properties of atoms and molecules containing heavy and superheavy nuclei

    Low back pain and widespread pain predict sickness absence among industrial workers

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    BACKGROUND: The prevalence of musculoskeletal disorders (MSD) in the aluminium industry is high, and there is a considerable work-related fraction. More knowledge about the predictors of sickness absence from MSD in this industry will be valuable in determining strategies for prevention. The aim of this study was to analyse the relative impact of body parts, psychosocial and individual factors as predictors for short- and long-term sickness absence from MSD among industrial workers. METHODS: A follow-up study was conducted among all the workers at eight aluminium plants in Norway. A questionnaire was completed by 5654 workers at baseline in 1998. A total of 3320 of these participated in the follow-up study in 2000. Cox regression analysis was applied to investigate the relative impact of MSD in various parts of the body and of psychosocial and individual factors reported in 1998 on short-term and long-term sickness absence from MSD reported in 2000. RESULTS: MSD accounted for 45% of all working days lost the year prior to follow-up in 2000. Blue-collar workers had significantly higher risk than white-collar workers for both short- and long-term sickness absence from MSD (long-term sickness absence: RR = 3.04, 95% CI 2.08–4.45). Widespread and low back pain in 1998 significantly predicted both short- and long-term sickness absence in 2000. In addition, shoulder pain predicted long-term sickness absence. Low social support predicted short-term sickness absence (RR = 1.28, 95% CI 1.11–1.49). CONCLUSIONS: Reducing sickness absence from MSD among industrial workers requires focusing on the working conditions of blue-collar workers and risk factors for low back pain and widespread pain. Increasing social support in the work environment may have effects in reducing short-term sickness absence from MSD

    The effect of acidified slurry on crop uptake and leaching of nutrients from a loamy topsoil

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    Acidification is one of the recommended treatments to reduce NH3 emissions from animal slurry. Economically, the sulphuric acid is the most feasible agent to lower slurry pH. This study explains the impact of acidified slurry on soil and crop in a leaching trial. Pot experiments with ryegrass and cereal crops were used with 15 and 45 m3 ha−1 acidified slurry application. The effect of acidified slurry on ryegrass and maize yield was positive, increasing the yield by 40% and 20%, respectively, compared to unacidified slurry. There was a significant effect of acidified slurry on soil pH when large amount of acidified slurry (45 m3 ha−1) was used. Soil pH decreased by 0.1 units. The smaller amount of acidified slurry (15 m3 ha−1) had non-significant effect. Thus, for environmental protection purposes, it is necessary to ensure that the nutrient amounts applied with slurry, in particular easily soluble nitrogen and sulphur, correspond to the needs of the plants. Particular attention must be paid to Ca-poor soils. Sulphate ions are physically negatively absorbed in the soil, facilitating their availability in and leaching from the soil. With sulphate anions, an equivalent amount of Ca and Mg cations is always leached from the soil
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