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Content available remote Agglomeration patterns in the Polish manufacturing industry
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EN
External liberalization should affect regional agglomeration patterns in manufacturing industry. In Poland, the largest CEE economy, economic transition was marked by accelerated restructuring associated with relatively rapid external trade and capital flows liberalization. The process of economic transition was reinforced by accession to the EU. Economic transition could potentially have a sizeable impact on industrial agglomeration patterns. Using sectoral agglomeration indices we examine changes in the agglomeration patterns of the Polish manufacturing industry. The analysis is carried out on a disaggregated data set on employment for 2 and 3-digit NACE manufacturing industry sectors at the level of local administrative districts (LAD4 level). The data set covers the period 1999-2006. The overall agglomeration index for Polish manufacturing industry decreased only by 0.5 percent within the analyzed period of time. The patter of agglomeration remained largely unaffected despite of significant structural adjustments in other areas.
EN
The Upper Silesian Industrial Region (GOP) is one of the most polluted regions in Poland. Because of the location of several important heavy industrial plants it is necessary to permanently monitor the various sort of dust and gas pollutantsconcentrations in this area. The paper presents the possibilities of stochastic air pollution modeling on the basis of data collected by monitoring stations. Several types of models were shown, including models applied in regions of big cities, like Stockholm, Vienna and Madrid, with special impact to so-called adaptive models. It was statistically proved that the formulae of the SO2 propagation model for the GOP S(t)=a+bS(t-1)+c(T-T0)2+d(v-v0)2+eQ1=eQ2. This equation was applied practically on the basis of the empirical data collected by selected monitoring stations.For the chosen monitoring station the directions of pollution flows and winds wereshown graphically (fig. 1). Nest step was derivation of the SO2 propagation model bytraditional regressive techniques (models from equations 6, 7 and 8), taking into considerationdirections of air flows, and adaptive models (fig. 3) basing on the previous model formulae. The obtained models were statistically evaluated. It occurred that the models considering air flows directions show changes of pollution propagation characteristics The advantage of adaptive models, which take into consideration data from previous periods of time, was proved, as they forecast concentration of pollution far better than the traditional regressive models.
EN
The study of the soil cover of urban landscapes of the Mykolaiv industrial-urban agglomeration, which is a complex multifunctional system, was carried out. A sampling strategy was developed and the sources of pollution were analyzed, taking into account the areas of intensive bombing and ammunition explosions. The levels of contamination by heavy metals (Сr, Zn, Hg, Pb, Ni, Cu, Mn) at the positions of environmental safety were established, and the danger coefficient Ko and the integral danger index (∑Ko (1+2)) were applied for chemical elements of the I and II danger classes. A geochemical anomaly of military origin was identified with an excess of the maximum permissible levels for the following chemical elements: Hg (57.1) > Сr (20.6) > Ni (9.6) > Cu (9.2) > Zn (5.3) > Pb (1.5).
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