279 research outputs found

    Results of the EU project Climate for Culture : future climate-induced risks to historic buildings and their interiors

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    The EU funded Climate for Culture (CfC) Project is finalized to forecast the impact of climate change on either indoor or outdoor Cultural Heritage and advise on related risks. CfC has produced high-resolution thematic maps over Europe to highlight the expected changes and related risks for a number of key materials, building types, deterioration mechanisms for the near and far future based on two emission scenarios as developed by IPCC. The procedure to obtain a thematic map is as follows: to simulate outdoor climate change; to pass from outdoor to indoor climate change through building simulation and case studies measurements; to use damage functions and literature results to evaluate potential risk for buildings and objects; to map the above results for advice and stakeholders use. This methodology has produced 55,650 thematic maps of future climate induced risks to historic buildings and collections in their interiors. The results can be used for climate change impact assessments and for planning adaption and mitigation measures in view of preventive conservation or other applications, e.g. human health, energy consumption, cultural tourism. This paper presents some of the main project outcomes

    Air temperature changes in Toruń (central Poland) from 1871 to 2010

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    The article presents a detailed analysis of changes in air temperature in Toruń in the period 1871–2010 on the basis of homogenised monthly, seasonal and annual air temperature series which have been newly constructed (i.e. extended by the 50 years of 1871–1920). Over the 140-year study period, a sizeable and statistically significant increase of 0.1 °C per decade was found in the air temperature in Toruń. The greatest increases occurred for spring and winter, at 0.12 and 0.11 °C, respectively. A lesser warming, meanwhile, was recorded for autumn (0.10 °C/10 years), and particularly for summer (0.07 °C/10 years). The air temperature trends are statistically significant for all seasons. Air temperature differences between the monthly averages of three analysed subperiods (1871–1900, 1901–1950 and 1951–2010) and averages for the entire period under review rarely exceeded ± 0.5 °C. In all of these periods, the highest average air temperatures occurred in July and the lowest in January. The period of 1981–2010 had the highest frequency of occurrence of very and extremely warm seasons and years. Meanwhile, the highest frequency of very and extremely cool seasons and years was recorded in the 1940s and in the nineteenth century. In the period of 1871–2010, winters shortened markedly (by 7%) and summers lengthened by 3.8%. All of the presented aspects of air temperature in Toruń, which is representative of the climate of central Poland, are in close agreement with the findings of analogous studies of the same for other areas of Poland and Central Europe

    Dynamic Analysis of a Disequilibrium Macroeconomic Model with Dual Labor Markets

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    We extend the general disequilibrium model of Malinvaud(1980) by using dual labor market theory. By considering two tiers of workers, we find that while the duality of the labor market expands an equilibrium regime in the short term, it does not always keep an equilibrium in the medium term. In the medium term, the business cycle converges toward a disequilibrium regime unless the goods market is potentially in equilibrium. Employment and wages at the steady state are affected by the size of the government, and the stability of wage bargaining is only a sufficient condition of the local stability of our dynamic system. Therefore, involuntary unemployment can be remedied only when goods demand is sufficiently large

    The Pricing Behaviour of Firms in the Euro Area: New Survey Evidence

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    Circulation dynamics and its influence on European and Mediterranean January–April climate over the past half millennium: results and insights from instrumental data, documentary evidence and coupled climate models

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