Modeling indoor air pollution:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
London
Imperial College Press ; Singapore Distributed by World Scientific Pub. Co.
2009
|
| Schlagworte: | |
| Beschreibung: | Print version record |
| Beschreibung: | 1 online resource (xiv, 346 pages) illustrations (some color) |
| ISBN: | 9781848163256 1848163258 9781615831166 1615831169 1282441493 9781282441491 |
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| 245 | 1 | 0 | |a Modeling indoor air pollution |c Darrell W Pepper, David Carrington |
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| 505 | 8 | |a Emission of pollutants and their accumulation due to poor ventilation and air exchange are serious problems currently under investigation by many researchers. Of particular concern are issues involving air quality within buildings. Toxic fumes and airborne diseases are known to produce undesirable odors, eye and nose irritations, sickness, and occasionally death. Other products such as tobacco smoke and carbon monoxide can also have serious health effects on people exposed to a poorly ventilated environment; studies indicate that indirect or passive smoking can also lead to lung cancer. Design for prevention or remediation of indoor air pollution requires expertise in optimizing geometrical configurations; knowledge of HVAC systems, perceived or expected contaminants and source locations; and economics. Much of the design concept involves ways in which to optimize the benefits or balance the advantages and disadvantages of various configurations and equipment. The fact that a room or building will conceivably become contaminated is generally an accepted fact - to what extent indoor air pollution will become critical is not really known until it happens. A series of numerical models that run in MATLAB are described in the text and placed on the Web. These models include the finite difference method, finite volume method, finite element method, the boundary element method, particle-in-cell, meshless methods, and lagrangian particle transport. In addition, all example problems can be run using COMSOL, a commercial finite-element-based computer code with a great deal of flexibility and application. By accessing AutoCad ICES or DWG file structures, COMSOL permits a building floor plan to be captured and the interior walls discretized into elements | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING / Environmental / Pollution Control |2 bisacsh | |
| 650 | 7 | |a Indoor air pollution / Mathematical models |2 fast | |
| 650 | 7 | |a Environmental Engineering |2 hilcc | |
| 650 | 7 | |a Civil & Environmental Engineering |2 hilcc | |
| 650 | 7 | |a Engineering & Applied Sciences |2 hilcc | |
| 650 | 4 | |a Indoor air pollution |x Mathematical models | |
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Datensatz im Suchindex
| _version_ | 1804179162811858944 |
|---|---|
| any_adam_object | |
| author | Pepper, Darrell W. |
| author_facet | Pepper, Darrell W. |
| author_role | aut |
| author_sort | Pepper, Darrell W. |
| author_variant | d w p dw dwp |
| building | Verbundindex |
| bvnumber | BV045343765 |
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| contents | Emission of pollutants and their accumulation due to poor ventilation and air exchange are serious problems currently under investigation by many researchers. Of particular concern are issues involving air quality within buildings. Toxic fumes and airborne diseases are known to produce undesirable odors, eye and nose irritations, sickness, and occasionally death. Other products such as tobacco smoke and carbon monoxide can also have serious health effects on people exposed to a poorly ventilated environment; studies indicate that indirect or passive smoking can also lead to lung cancer. Design for prevention or remediation of indoor air pollution requires expertise in optimizing geometrical configurations; knowledge of HVAC systems, perceived or expected contaminants and source locations; and economics. Much of the design concept involves ways in which to optimize the benefits or balance the advantages and disadvantages of various configurations and equipment. The fact that a room or building will conceivably become contaminated is generally an accepted fact - to what extent indoor air pollution will become critical is not really known until it happens. A series of numerical models that run in MATLAB are described in the text and placed on the Web. These models include the finite difference method, finite volume method, finite element method, the boundary element method, particle-in-cell, meshless methods, and lagrangian particle transport. In addition, all example problems can be run using COMSOL, a commercial finite-element-based computer code with a great deal of flexibility and application. By accessing AutoCad ICES or DWG file structures, COMSOL permits a building floor plan to be captured and the interior walls discretized into elements |
| ctrlnum | (ZDB-4-ENC)ocn613681837 (OCoLC)613681837 (DE-599)BVBBV045343765 |
| dewey-full | 628.53 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 628 - Sanitary engineering |
| dewey-raw | 628.53 |
| dewey-search | 628.53 |
| dewey-sort | 3628.53 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Bauingenieurwesen |
| format | Electronic eBook |
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| isbn | 9781848163256 1848163258 9781615831166 1615831169 1282441493 9781282441491 |
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| spelling | Pepper, Darrell W. Verfasser aut Modeling indoor air pollution Darrell W Pepper, David Carrington London Imperial College Press ; Singapore Distributed by World Scientific Pub. Co. 2009 1 online resource (xiv, 346 pages) illustrations (some color) txt rdacontent c rdamedia cr rdacarrier Print version record Emission of pollutants and their accumulation due to poor ventilation and air exchange are serious problems currently under investigation by many researchers. Of particular concern are issues involving air quality within buildings. Toxic fumes and airborne diseases are known to produce undesirable odors, eye and nose irritations, sickness, and occasionally death. Other products such as tobacco smoke and carbon monoxide can also have serious health effects on people exposed to a poorly ventilated environment; studies indicate that indirect or passive smoking can also lead to lung cancer. Design for prevention or remediation of indoor air pollution requires expertise in optimizing geometrical configurations; knowledge of HVAC systems, perceived or expected contaminants and source locations; and economics. Much of the design concept involves ways in which to optimize the benefits or balance the advantages and disadvantages of various configurations and equipment. The fact that a room or building will conceivably become contaminated is generally an accepted fact - to what extent indoor air pollution will become critical is not really known until it happens. A series of numerical models that run in MATLAB are described in the text and placed on the Web. These models include the finite difference method, finite volume method, finite element method, the boundary element method, particle-in-cell, meshless methods, and lagrangian particle transport. In addition, all example problems can be run using COMSOL, a commercial finite-element-based computer code with a great deal of flexibility and application. By accessing AutoCad ICES or DWG file structures, COMSOL permits a building floor plan to be captured and the interior walls discretized into elements TECHNOLOGY & ENGINEERING / Environmental / Pollution Control bisacsh Indoor air pollution / Mathematical models fast Environmental Engineering hilcc Civil & Environmental Engineering hilcc Engineering & Applied Sciences hilcc Indoor air pollution Mathematical models Mathematische Modellierung (DE-588)7651795-0 gnd rswk-swf Lüftungstechnik (DE-588)4074360-3 gnd rswk-swf Lüftungstechnik (DE-588)4074360-3 s Mathematische Modellierung (DE-588)7651795-0 s 1\p DE-604 Carrington, David Sonstige oth World Scientific (Firm) Sonstige oth 184816324X 9781848163249 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Pepper, Darrell W. Modeling indoor air pollution Emission of pollutants and their accumulation due to poor ventilation and air exchange are serious problems currently under investigation by many researchers. Of particular concern are issues involving air quality within buildings. Toxic fumes and airborne diseases are known to produce undesirable odors, eye and nose irritations, sickness, and occasionally death. Other products such as tobacco smoke and carbon monoxide can also have serious health effects on people exposed to a poorly ventilated environment; studies indicate that indirect or passive smoking can also lead to lung cancer. Design for prevention or remediation of indoor air pollution requires expertise in optimizing geometrical configurations; knowledge of HVAC systems, perceived or expected contaminants and source locations; and economics. Much of the design concept involves ways in which to optimize the benefits or balance the advantages and disadvantages of various configurations and equipment. The fact that a room or building will conceivably become contaminated is generally an accepted fact - to what extent indoor air pollution will become critical is not really known until it happens. A series of numerical models that run in MATLAB are described in the text and placed on the Web. These models include the finite difference method, finite volume method, finite element method, the boundary element method, particle-in-cell, meshless methods, and lagrangian particle transport. In addition, all example problems can be run using COMSOL, a commercial finite-element-based computer code with a great deal of flexibility and application. By accessing AutoCad ICES or DWG file structures, COMSOL permits a building floor plan to be captured and the interior walls discretized into elements TECHNOLOGY & ENGINEERING / Environmental / Pollution Control bisacsh Indoor air pollution / Mathematical models fast Environmental Engineering hilcc Civil & Environmental Engineering hilcc Engineering & Applied Sciences hilcc Indoor air pollution Mathematical models Mathematische Modellierung (DE-588)7651795-0 gnd Lüftungstechnik (DE-588)4074360-3 gnd |
| subject_GND | (DE-588)7651795-0 (DE-588)4074360-3 |
| title | Modeling indoor air pollution |
| title_auth | Modeling indoor air pollution |
| title_exact_search | Modeling indoor air pollution |
| title_full | Modeling indoor air pollution Darrell W Pepper, David Carrington |
| title_fullStr | Modeling indoor air pollution Darrell W Pepper, David Carrington |
| title_full_unstemmed | Modeling indoor air pollution Darrell W Pepper, David Carrington |
| title_short | Modeling indoor air pollution |
| title_sort | modeling indoor air pollution |
| topic | TECHNOLOGY & ENGINEERING / Environmental / Pollution Control bisacsh Indoor air pollution / Mathematical models fast Environmental Engineering hilcc Civil & Environmental Engineering hilcc Engineering & Applied Sciences hilcc Indoor air pollution Mathematical models Mathematische Modellierung (DE-588)7651795-0 gnd Lüftungstechnik (DE-588)4074360-3 gnd |
| topic_facet | TECHNOLOGY & ENGINEERING / Environmental / Pollution Control Indoor air pollution / Mathematical models Environmental Engineering Civil & Environmental Engineering Engineering & Applied Sciences Indoor air pollution Mathematical models Mathematische Modellierung Lüftungstechnik |
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