000 04192nam a22005055i 4500
001 978-3-642-28056-6
003 DE-He213
005 20140220083310.0
007 cr nn 008mamaa
008 120601s2012 gw | s |||| 0|eng d
020 _a9783642280566
_9978-3-642-28056-6
024 7 _a10.1007/978-3-642-28056-6
_2doi
050 4 _aGE300-350
072 7 _aRNF
_2bicssc
072 7 _aTEC010000
_2bisacsh
082 0 4 _a333.7
_223
100 1 _aBieda, Bogusław.
_eauthor.
245 1 0 _aStochastic Analysis in Production Process and Ecology Under Uncertainty
_h[electronic resource] /
_cby Bogusław Bieda.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2012.
300 _aXVI, 168 p. 111 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aIntroduction -- 1. Introduction to Monte Carlo (MC) method. Random variables in stochastic models -- 2. Stochastic model of the diffusion of pollutants in landfill management using Monte Carlo simulation -- 3. The role of risk assessment in investment costs management, based on the example of Waste Treatment (Gasification) Facility in the City of Konin -- 4. Stochastic analysis of the environmental impact of energy production processes, based on the example of ArcelorMittal Poland S.A. Power Plant, Unit in Kraków, Poland -- 5. Stochastic analysis, using Monte Carlo (MC) simulation, of the life cycle management of waste, from an annual perspective, generated by ArcelorMittal Poland S.A. Unit in Kraków, Poland -- 6. Summary.
520 _aThe monograph addresses a problem of stochastic analysis based on the uncertainty assessment by simulation and application of this method in ecology and steel industry under uncertainty. The first chapter defines the Monte Carlo (MC) method and random variables in stochastic models. Chapter two deals with the contamination transport in porous media. Stochastic approach for Municipal Solid Waste transit time contaminants modeling using MC simulation has been worked out. The third chapter describes the risk analysis of the waste to energy facility proposal for Konin city, including the financial aspects. Environmental impact assessment of the ArcelorMittal Steel Power Plant, in Kraków – in the chapter four – is given. Thus, four scenarios of the energy mix production processes were studied. Chapter five contains examples of using ecological Life Cycle Assessment (LCA) – a relatively new method of environmental impact assessment – which help in preparing pro-ecological strategy, and which can lead to reducing the amount of wastes produced in the ArcelorMittal Steel Plant production processes. Moreover, real input and output data of selected processes under uncertainty, mainly used in the LCA technique, have been examined. The last chapter of this monograph contains final summary. The log-normal probability distribution, widely used in risk analysis and environmental management, in order to develop a stochastic analysis of the LCA, as well as uniform distribution for stochastic approach of pollution transport in porous media has been proposed. The distributions employed in this monograph are assembled from site-specific data, data existing in the most current literature, and professional judgment.
650 0 _aEnvironmental sciences.
650 0 _aEcology.
650 0 _aStatistics.
650 0 _aElectric engineering.
650 0 _aEnvironmental management.
650 1 4 _aEnvironment.
650 2 4 _aEnvironmental Management.
650 2 4 _aStatistics for Life Sciences, Medicine, Health Sciences.
650 2 4 _aEnergy Technology.
650 2 4 _aEnergy Policy, Economics and Management.
650 2 4 _aEcology.
650 2 4 _aMathematical Modeling and Industrial Mathematics.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642280559
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-28056-6
912 _aZDB-2-EES
999 _c102712
_d102712