AERSCREEN user's guide / / Office of Air Quality Planning and Standards, Air Quality Assessment Division, Air Quality Modeling Group |
Pubbl/distr/stampa | Research Triangle Park, N.C. : , : U.S. Environmental Protection Agency, , 2011 |
Descrizione fisica | 1 online resource (viii, 87, A-5 pages) : color illustrations |
Soggetto topico |
Air quality - Mathematical models
Atmospheric diffusion - Mathematical models Air - Pollution - Measurement |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | 1. Overview of AERSCREEN -- 2. AERSCREEN features -- 3. AERSCREEN Program Execution -- 4. Example Run -- 5. References. |
Record Nr. | UNINA-9910704701603321 |
Research Triangle Park, N.C. : , : U.S. Environmental Protection Agency, , 2011 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Concentration fluctuations and averaging time in vapor clouds [[electronic resource] /] / David J. Wilson |
Autore | Wilson David J |
Pubbl/distr/stampa | New York, : Center for Chemical Process Safety of the American Institute of Chemical Engineers, 1995 |
Descrizione fisica | 1 online resource (201 p.) |
Disciplina |
533
660 |
Soggetto topico |
Vapors - Mathematical models
Fluctuations (Physics) - Mathematical models Atmospheric diffusion - Mathematical models Atmospheric turbulence - Mathematical models Hazardous substances - Risk assessment Industrial safety |
Soggetto genere / forma | Electronic books. |
ISBN |
1-282-81726-4
9786612817267 0-470-93797-1 1-60119-004-2 0-470-93796-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Concentration Fluctuations and Averaging Time in Vapor Clouds; Contents; PREFACE; ACKNOWLEDGMENTS; 1. Background and Objectives; 2. Sampling and Averaging Time Definitions; Calculating Mass-Weighted Sampling Time; Effective Sampling Time ts,a for Block Time Averages; 3. Effect of Averaging Time on Mean Calculations; Ensemble Averaging and Zero Sample Time Meandering; Field Data for Sampling and Averaging Time Effects; Plume Spread Sampling Time Effects Deduced from Velocity Fluctuation Statistics; Measurement of Crosswind-Velocity Sampling Time Exponent pv
Averaging Time Effects on Plume Spread σyRandom Force Model for Sampling Time Effects on Crosswind Spread; Comparing the Random Force Model to CONDORS Data; Comparing the Random Force Model with σy ~ ts0.2; 4. Concentration Fluctuation Modeling; Overview; Types of Concentration Fluctuation Models; Conditional Statistics for Fluctuation Calculations; Wind Tunnel Simulation versus Field Testing for Model Validation; 5. Probability Distributions; Exponential Probability Distribution; Clipped-Normal Probability Distribution; Log-Normal Probability Distribution; Gamma Probability Distribution Recommended Probability Distribution and Conditional Intensity Functions6. Release Height and Source Size Effects on Fluctuation Intensity; Internal Fluctuations in Jets and Plumes with No Meandering; Fluctuation Intensity in Meandering Plumes from Ground Level Releases; Meandering Plume Models for Source Size Effects on Elevated Releases; Comparison with Chatwin and Sullivan's Similarity Model; Release Momentum Effects on Source Size; Fluctuations Near the Ground: Dissipation by Wind Shear; Terrain Roughness, Atmospheric Stability, and Compatibility with Existing Hazard Assessment Models 7. Source Density Effects on FluctuationsDense Plumes; Buoyant Plumes; 8. Buildings and Obstacles; Modeling Concentration Fluctuations in Building Wakes; 9. Threshold Crossing and Peak Levels; Time Sequence versus Ensemble Repeat Averages; 10. Framework for an Operational Model; Adjusting Mean Concentration for Averaging Time; Concentration Fluctuation Statistics; Concentration Fluctuation Intensity; Fraction of Time Threshold Concentration Is Exceeded; Once-per-Event Peak Concentration; Summary Appendix A Averaging and Sampling Time Effects on Plume Spread Velocity and Concentration FluctuationsInertialess Fluctuation Spectrum; Concentration Fluctuations; Power Law Exponent qc for Averaging Time; Effect of Averaging Time on Concentration Variance; Effect of Sampling Time on Concentration Variance; Power Law Exponent pc for Increased Sampling Time; Velocity Fluctuations; Sampling Time Effects on Crosswind Velocity Variance; Sampling Time Effects for the Transverse Isotropic Spectrum; Averaging Time Effects for Finite Sampling Time; Gifford's Random Force Model for σy Wilson's Power Law Approximation to Gifford's Random Force Model |
Record Nr. | UNINA-9910142396103321 |
Wilson David J | ||
New York, : Center for Chemical Process Safety of the American Institute of Chemical Engineers, 1995 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Concentration fluctuations and averaging time in vapor clouds [[electronic resource] /] / David J. Wilson |
Autore | Wilson David J |
Pubbl/distr/stampa | New York, : Center for Chemical Process Safety of the American Institute of Chemical Engineers, 1995 |
Descrizione fisica | 1 online resource (201 p.) |
Disciplina |
533
660 |
Soggetto topico |
Vapors - Mathematical models
Fluctuations (Physics) - Mathematical models Atmospheric diffusion - Mathematical models Atmospheric turbulence - Mathematical models Hazardous substances - Risk assessment Industrial safety |
ISBN |
1-282-81726-4
9786612817267 0-470-93797-1 1-60119-004-2 0-470-93796-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Concentration Fluctuations and Averaging Time in Vapor Clouds; Contents; PREFACE; ACKNOWLEDGMENTS; 1. Background and Objectives; 2. Sampling and Averaging Time Definitions; Calculating Mass-Weighted Sampling Time; Effective Sampling Time ts,a for Block Time Averages; 3. Effect of Averaging Time on Mean Calculations; Ensemble Averaging and Zero Sample Time Meandering; Field Data for Sampling and Averaging Time Effects; Plume Spread Sampling Time Effects Deduced from Velocity Fluctuation Statistics; Measurement of Crosswind-Velocity Sampling Time Exponent pv
Averaging Time Effects on Plume Spread σyRandom Force Model for Sampling Time Effects on Crosswind Spread; Comparing the Random Force Model to CONDORS Data; Comparing the Random Force Model with σy ~ ts0.2; 4. Concentration Fluctuation Modeling; Overview; Types of Concentration Fluctuation Models; Conditional Statistics for Fluctuation Calculations; Wind Tunnel Simulation versus Field Testing for Model Validation; 5. Probability Distributions; Exponential Probability Distribution; Clipped-Normal Probability Distribution; Log-Normal Probability Distribution; Gamma Probability Distribution Recommended Probability Distribution and Conditional Intensity Functions6. Release Height and Source Size Effects on Fluctuation Intensity; Internal Fluctuations in Jets and Plumes with No Meandering; Fluctuation Intensity in Meandering Plumes from Ground Level Releases; Meandering Plume Models for Source Size Effects on Elevated Releases; Comparison with Chatwin and Sullivan's Similarity Model; Release Momentum Effects on Source Size; Fluctuations Near the Ground: Dissipation by Wind Shear; Terrain Roughness, Atmospheric Stability, and Compatibility with Existing Hazard Assessment Models 7. Source Density Effects on FluctuationsDense Plumes; Buoyant Plumes; 8. Buildings and Obstacles; Modeling Concentration Fluctuations in Building Wakes; 9. Threshold Crossing and Peak Levels; Time Sequence versus Ensemble Repeat Averages; 10. Framework for an Operational Model; Adjusting Mean Concentration for Averaging Time; Concentration Fluctuation Statistics; Concentration Fluctuation Intensity; Fraction of Time Threshold Concentration Is Exceeded; Once-per-Event Peak Concentration; Summary Appendix A Averaging and Sampling Time Effects on Plume Spread Velocity and Concentration FluctuationsInertialess Fluctuation Spectrum; Concentration Fluctuations; Power Law Exponent qc for Averaging Time; Effect of Averaging Time on Concentration Variance; Effect of Sampling Time on Concentration Variance; Power Law Exponent pc for Increased Sampling Time; Velocity Fluctuations; Sampling Time Effects on Crosswind Velocity Variance; Sampling Time Effects for the Transverse Isotropic Spectrum; Averaging Time Effects for Finite Sampling Time; Gifford's Random Force Model for σy Wilson's Power Law Approximation to Gifford's Random Force Model |
Record Nr. | UNISA-996218382003316 |
Wilson David J | ||
New York, : Center for Chemical Process Safety of the American Institute of Chemical Engineers, 1995 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Concentration fluctuations and averaging time in vapor clouds / / David J. Wilson |
Autore | Wilson David J |
Pubbl/distr/stampa | New York, : Center for Chemical Process Safety of the American Institute of Chemical Engineers, 1995 |
Descrizione fisica | 1 online resource (201 p.) |
Disciplina |
533
660 |
Soggetto topico |
Vapors - Mathematical models
Fluctuations (Physics) - Mathematical models Atmospheric diffusion - Mathematical models Atmospheric turbulence - Mathematical models Hazardous substances - Risk assessment Industrial safety |
ISBN |
1-282-81726-4
9786612817267 0-470-93797-1 1-60119-004-2 0-470-93796-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Concentration Fluctuations and Averaging Time in Vapor Clouds; Contents; PREFACE; ACKNOWLEDGMENTS; 1. Background and Objectives; 2. Sampling and Averaging Time Definitions; Calculating Mass-Weighted Sampling Time; Effective Sampling Time ts,a for Block Time Averages; 3. Effect of Averaging Time on Mean Calculations; Ensemble Averaging and Zero Sample Time Meandering; Field Data for Sampling and Averaging Time Effects; Plume Spread Sampling Time Effects Deduced from Velocity Fluctuation Statistics; Measurement of Crosswind-Velocity Sampling Time Exponent pv
Averaging Time Effects on Plume Spread σyRandom Force Model for Sampling Time Effects on Crosswind Spread; Comparing the Random Force Model to CONDORS Data; Comparing the Random Force Model with σy ~ ts0.2; 4. Concentration Fluctuation Modeling; Overview; Types of Concentration Fluctuation Models; Conditional Statistics for Fluctuation Calculations; Wind Tunnel Simulation versus Field Testing for Model Validation; 5. Probability Distributions; Exponential Probability Distribution; Clipped-Normal Probability Distribution; Log-Normal Probability Distribution; Gamma Probability Distribution Recommended Probability Distribution and Conditional Intensity Functions6. Release Height and Source Size Effects on Fluctuation Intensity; Internal Fluctuations in Jets and Plumes with No Meandering; Fluctuation Intensity in Meandering Plumes from Ground Level Releases; Meandering Plume Models for Source Size Effects on Elevated Releases; Comparison with Chatwin and Sullivan's Similarity Model; Release Momentum Effects on Source Size; Fluctuations Near the Ground: Dissipation by Wind Shear; Terrain Roughness, Atmospheric Stability, and Compatibility with Existing Hazard Assessment Models 7. Source Density Effects on FluctuationsDense Plumes; Buoyant Plumes; 8. Buildings and Obstacles; Modeling Concentration Fluctuations in Building Wakes; 9. Threshold Crossing and Peak Levels; Time Sequence versus Ensemble Repeat Averages; 10. Framework for an Operational Model; Adjusting Mean Concentration for Averaging Time; Concentration Fluctuation Statistics; Concentration Fluctuation Intensity; Fraction of Time Threshold Concentration Is Exceeded; Once-per-Event Peak Concentration; Summary Appendix A Averaging and Sampling Time Effects on Plume Spread Velocity and Concentration FluctuationsInertialess Fluctuation Spectrum; Concentration Fluctuations; Power Law Exponent qc for Averaging Time; Effect of Averaging Time on Concentration Variance; Effect of Sampling Time on Concentration Variance; Power Law Exponent pc for Increased Sampling Time; Velocity Fluctuations; Sampling Time Effects on Crosswind Velocity Variance; Sampling Time Effects for the Transverse Isotropic Spectrum; Averaging Time Effects for Finite Sampling Time; Gifford's Random Force Model for σy Wilson's Power Law Approximation to Gifford's Random Force Model |
Record Nr. | UNINA-9910876976403321 |
Wilson David J | ||
New York, : Center for Chemical Process Safety of the American Institute of Chemical Engineers, 1995 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Documentation of the evaluation of CALPUFF and other long range transport models using tracer field experiment data / / by ENVIRON International Corporation ; prepared for Tyler Fox |
Pubbl/distr/stampa | Research Triangle Park, NC : , : U.S. Environmental Protection Agency, Office of Air Quality Planning and Standards, Air Quality Assessment Division, Air Quality Modeling Group, , 2012 |
Descrizione fisica | 1 online resource (247 unnumbered pages) : illustrations (some color), color maps |
Altri autori (Persone) | FoxTyler |
Soggetto topico |
Air quality - Simulation methods
Air - Pollution - Computer simulation Atmospheric diffusion - Computer simulation Air quality - Measurement Air - Pollution - Mathematical models Atmospheric diffusion - Mathematical models |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910702120903321 |
Research Triangle Park, NC : , : U.S. Environmental Protection Agency, Office of Air Quality Planning and Standards, Air Quality Assessment Division, Air Quality Modeling Group, , 2012 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Factor Separation in the Atmosphere : Applications and Future Prospects / / edited by Pinhas Alpert and Tatiana Sholokhman, Tel Aviv University, Israel [[electronic resource]] |
Pubbl/distr/stampa | Cambridge : , : Cambridge University Press, , 2011 |
Descrizione fisica | 1 online resource (xviii, 274 pages) : digital, PDF file(s) |
Disciplina | 551.5 |
Soggetto topico |
Atmospheric diffusion - Mathematical models
Meteorology - Mathematical methods Factorization (Mathematics) |
ISBN |
1-139-88578-2
1-283-00603-0 9786613006035 0-511-85911-2 0-511-86085-4 0-511-85824-8 0-511-92141-1 0-511-85998-8 0-511-85737-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | ; 1. Introduction / P. Alpert -- ; 2. The Factor Separation Methodology and the fractional approach / T. Sholokhman and P. Alpert -- ; 3. Investigation of the Factor Separation features for basic mathematical functions / T. Sholokhman and P. Alpert -- ; 4. Factor Separation Methodology and paleoclimates / A. Berger, M. Claussen and Q. Yin -- ; 5. Meso-meteorology: Factor Separation examples in atmospheric meso-scale motions / P. Alpert -- ; 6. Using the Alpert-Stein Factor Separation Methodology for land-use land-cover change impacts on weather and climate process with the Regional Atmospheric Modeling System / A. Beltrán-Przekurat, R.A. Piekle Sr., J.L. Eastman, G.T. Narisma, A.J. Pitman, M. Lei, and D. Niyogi -- ; 7. Application of Factor Separation to heavy rainfall and cyclogenesis: Mediterranean examples / R. Romero -- ; 8. Experience in applying the Alpert-Stein Factor Separation Methodology to assessing urban land-use and aerosol impacts on precipitation / S.C. van den Heever, C. Rozoff, and W.R. Cotton -- ; 9. Free and forced thermocline oscillations in Lake Tanganyika / O. Gourgue, E. Deleersnijder, V. Legat, E. Marchal, and L. White -- ; 10. Application of the Factor Separation Methodology to quantify the effect of waste heat, vapor and pollution on cumulus convection / G.W. Reuter -- ; 11. The use of the Alpert-Stein Factor Separation Methodology for climate variable interaction studies in hydrological land surface models and crop yield models / D. Niyogi, R. Mera, Yongkang Xue, G. Wilkerson, and F. Booker -- ; 12. Linear model for the sea breeze / T. Sholokhman and P. Alpert -- ; 13. Experience and conclusions from the Alpert-Stein Factor Separation Methodology: Ensemble data assimilation and forecasting applications / D. Rostkier-Edelstein and J.P. Hacker -- ; 14. Tagging systematic errors arising from different components of dynamics and physics in forecast models / T. N. Krishnamurti and Vinay Kumar -- ; 15. Some difficulties and prospects / P. Alpert and T. Sholokhman -- ; 16. Summary / P. Alpert -- Appendix: References employing the Alpert-Stein Factor Separation Methodology. |
Record Nr. | UNINA-9910456916703321 |
Cambridge : , : Cambridge University Press, , 2011 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Factor Separation in the Atmosphere : Applications and Future Prospects / / edited by Pinhas Alpert and Tatiana Sholokhman, Tel Aviv University, Israel [[electronic resource]] |
Pubbl/distr/stampa | Cambridge : , : Cambridge University Press, , 2011 |
Descrizione fisica | 1 online resource (xviii, 274 pages) : digital, PDF file(s) |
Disciplina | 551.5 |
Soggetto topico |
Atmospheric diffusion - Mathematical models
Meteorology - Mathematical methods Factorization (Mathematics) |
ISBN |
1-139-88578-2
1-283-00603-0 9786613006035 0-511-85911-2 0-511-86085-4 0-511-85824-8 0-511-92141-1 0-511-85998-8 0-511-85737-3 |
Classificazione | SCI042000 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | ; 1. Introduction / P. Alpert -- ; 2. The Factor Separation Methodology and the fractional approach / T. Sholokhman and P. Alpert -- ; 3. Investigation of the Factor Separation features for basic mathematical functions / T. Sholokhman and P. Alpert -- ; 4. Factor Separation Methodology and paleoclimates / A. Berger, M. Claussen and Q. Yin -- ; 5. Meso-meteorology: Factor Separation examples in atmospheric meso-scale motions / P. Alpert -- ; 6. Using the Alpert-Stein Factor Separation Methodology for land-use land-cover change impacts on weather and climate process with the Regional Atmospheric Modeling System / A. Beltrán-Przekurat, R.A. Piekle Sr., J.L. Eastman, G.T. Narisma, A.J. Pitman, M. Lei, and D. Niyogi -- ; 7. Application of Factor Separation to heavy rainfall and cyclogenesis: Mediterranean examples / R. Romero -- ; 8. Experience in applying the Alpert-Stein Factor Separation Methodology to assessing urban land-use and aerosol impacts on precipitation / S.C. van den Heever, C. Rozoff, and W.R. Cotton -- ; 9. Free and forced thermocline oscillations in Lake Tanganyika / O. Gourgue, E. Deleersnijder, V. Legat, E. Marchal, and L. White -- ; 10. Application of the Factor Separation Methodology to quantify the effect of waste heat, vapor and pollution on cumulus convection / G.W. Reuter -- ; 11. The use of the Alpert-Stein Factor Separation Methodology for climate variable interaction studies in hydrological land surface models and crop yield models / D. Niyogi, R. Mera, Yongkang Xue, G. Wilkerson, and F. Booker -- ; 12. Linear model for the sea breeze / T. Sholokhman and P. Alpert -- ; 13. Experience and conclusions from the Alpert-Stein Factor Separation Methodology: Ensemble data assimilation and forecasting applications / D. Rostkier-Edelstein and J.P. Hacker -- ; 14. Tagging systematic errors arising from different components of dynamics and physics in forecast models / T. N. Krishnamurti and Vinay Kumar -- ; 15. Some difficulties and prospects / P. Alpert and T. Sholokhman -- ; 16. Summary / P. Alpert -- Appendix: References employing the Alpert-Stein Factor Separation Methodology. |
Record Nr. | UNINA-9910781106703321 |
Cambridge : , : Cambridge University Press, , 2011 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Factor separation in the atmosphere : applications and future prospects / / edited by Pinhas Alpert and Tatiana Sholokhman |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Cambridge, : Cambridge University Press, 2011 |
Descrizione fisica | 1 online resource (xviii, 274 pages) : digital, PDF file(s) |
Disciplina | 551.5 |
Altri autori (Persone) |
AlpertPinhas
SholokhmanTatiana |
Soggetto topico |
Atmospheric diffusion - Mathematical models
Meteorology - Mathematical models Factorization (Mathematics) |
ISBN |
1-139-88578-2
1-283-00603-0 9786613006035 0-511-85911-2 0-511-86085-4 0-511-85824-8 0-511-92141-1 0-511-85998-8 0-511-85737-3 |
Classificazione | SCI042000 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | ; 1. Introduction / P. Alpert -- ; 2. The Factor Separation Methodology and the fractional approach / T. Sholokhman and P. Alpert -- ; 3. Investigation of the Factor Separation features for basic mathematical functions / T. Sholokhman and P. Alpert -- ; 4. Factor Separation Methodology and paleoclimates / A. Berger, M. Claussen and Q. Yin -- ; 5. Meso-meteorology: Factor Separation examples in atmospheric meso-scale motions / P. Alpert -- ; 6. Using the Alpert-Stein Factor Separation Methodology for land-use land-cover change impacts on weather and climate process with the Regional Atmospheric Modeling System / A. Beltrán-Przekurat, R.A. Piekle Sr., J.L. Eastman, G.T. Narisma, A.J. Pitman, M. Lei, and D. Niyogi -- ; 7. Application of Factor Separation to heavy rainfall and cyclogenesis: Mediterranean examples / R. Romero -- ; 8. Experience in applying the Alpert-Stein Factor Separation Methodology to assessing urban land-use and aerosol impacts on precipitation / S.C. van den Heever, C. Rozoff, and W.R. Cotton -- ; 9. Free and forced thermocline oscillations in Lake Tanganyika / O. Gourgue, E. Deleersnijder, V. Legat, E. Marchal, and L. White -- ; 10. Application of the Factor Separation Methodology to quantify the effect of waste heat, vapor and pollution on cumulus convection / G.W. Reuter -- ; 11. The use of the Alpert-Stein Factor Separation Methodology for climate variable interaction studies in hydrological land surface models and crop yield models / D. Niyogi, R. Mera, Yongkang Xue, G. Wilkerson, and F. Booker -- ; 12. Linear model for the sea breeze / T. Sholokhman and P. Alpert -- ; 13. Experience and conclusions from the Alpert-Stein Factor Separation Methodology: Ensemble data assimilation and forecasting applications / D. Rostkier-Edelstein and J.P. Hacker -- ; 14. Tagging systematic errors arising from different components of dynamics and physics in forecast models / T. N. Krishnamurti and Vinay Kumar -- ; 15. Some difficulties and prospects / P. Alpert and T. Sholokhman -- ; 16. Summary / P. Alpert -- Appendix: References employing the Alpert-Stein Factor Separation Methodology. |
Record Nr. | UNINA-9910827362103321 |
Cambridge, : Cambridge University Press, 2011 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Guidelines for use of vapor cloud dispersion models [[electronic resource]] |
Edizione | [2nd ed.] |
Pubbl/distr/stampa | New York, : Center for Chemical Process Safety of the American Institute of Chemical Engineers, c1996 |
Descrizione fisica | 1 online resource (293 p.) |
Disciplina |
533.63
533/.63 628.5/3/0113 628.53011 628.530113 |
Soggetto topico |
Atmospheric diffusion - Mathematical models
Hazardous substances - Environmental aspects - Mathematical models Vapors - Mathematical models |
Soggetto genere / forma | Electronic books. |
ISBN |
1-282-78321-1
9786612783210 0-470-93507-3 1-59124-582-6 0-470-93506-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Guidelines for Use of Vapor Cloud Dispersion Models; Contents; PREFACE; ACKNOWLEDGMENTS; NOMENCLATURE; 1. Background and Objectives; 2. Overview of Modeling Procedures, Including Rationale for Selecting Scenarios for Worked Examples; 2.1. Types of Scenarios and Models; 2.2. Gross Screening Analysis; 2.3. Scenarios Selected for Worked Examples; 3. Input Data Required; 3.1. Source Data; 3.2. Site Characteristics; 3.3. Meteorological Data and Formulas for Calculating Input Parameters; 3.4. Receptor-Related Data; 4. Source Emission Models; 4.1. Conceptual Process for Source Term Determination
4.2. Calculation of Source Terms4.2.1. Gas Jet Releases; 4.2.2. Liquid Jet Releases; 4.2.3. Two-Phase Jet Releases; 4.2.4. Liquid Pool Spreading; 4.2.5. Liquid Pool Evaporation; 4.2.6. Multicomponent Evaporation; 4.3. Uncertainties in Source Term Estimation; 5. Dispersion Models; 5.1. Critical Richardson Number Criterion; 5.2. Jet Trajectory and Entrainment; 5.2.1. Momentum-Dominated Jets; 5.2.2. Elevated Dense Gas Jets; 5.2.3. Positively Buoyant Plumes; 5.3. Dense Gas Release at Grade; 5.3.1. Background and Overview; 5.3.2. Dense Gas Clouds in the Absence of Heat Exchange 5.3.3. Dense Gas Clouds in the Presence of Heat Exchanges5.4. Transport and Dispersion of Neutrally Buoyant or Passive Gas Clouds; 5.5. Simple Nomograms for Calculating the Dilution of Dense Gas Release; 5.6. Three-Dimensional Numerical Models of Dense Gas Dispersion; 5.7. Transport and Dispersion Near Buildings; 5.7.1. Plume Confinement by Canyons; 5.7.2. Concentrations on Building Faces Due to Releases from Vents; 5.7.3. Concentrations on the Building Downwind Face (the Near-Wake) Due to Releases from Sources on the Building; 5.7.4. Other Effects of Buildings 5.8. Worst Case Meteorological Conditions5.9. Removal by Dry and Wet Deposition; 5.9.1. Gravitational Settling of Lorge Particles or Aerosols; 5.9.2. Dry Deposition of Small Particles and Gases; 5.9.3. Removal of Particles and Gases by Precipitation and Clouds (Wet Deposition); 6. Averaging Times, Concentration Fluctuations, and Modeling Uncertainties; 6.1. Overview of Physical Considerations Related to Averaging Time; 6.2. Overview of Characteristics of Concentration Fluctuations in Plumes 6.3. Predictions of Concentrations on the Plume Centerline at a Given Downwind Distance as a Function of Averaging Time, Ta6.4. Predictions of Concentrations at a Given Receptor Position as a Function of Averaging Time, Ta; 6.5. Threshold Crossing Probability; 6.6. A General Structure for the Analysis of Model Uncertainties; 7. Overview of Operational Vapor Cloud Models in Common Use; 7.1. Summary of Commonly Used Models; 7.2. Characteristics of Commonly Used Vapor Cloud Dispersion Models; 8. Evaluation of Models with Field Data; 8.1. Description of Field Data Sets 8.2. Model Evaluation Procedures |
Record Nr. | UNINA-9910143241003321 |
New York, : Center for Chemical Process Safety of the American Institute of Chemical Engineers, c1996 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Guidelines for use of vapor cloud dispersion models [[electronic resource]] |
Edizione | [2nd ed.] |
Pubbl/distr/stampa | New York, : Center for Chemical Process Safety of the American Institute of Chemical Engineers, c1996 |
Descrizione fisica | 1 online resource (293 p.) |
Disciplina |
533.63
533/.63 628.5/3/0113 628.53011 628.530113 |
Soggetto topico |
Atmospheric diffusion - Mathematical models
Hazardous substances - Environmental aspects - Mathematical models Vapors - Mathematical models |
ISBN |
1-282-78321-1
9786612783210 0-470-93507-3 1-59124-582-6 0-470-93506-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Guidelines for Use of Vapor Cloud Dispersion Models; Contents; PREFACE; ACKNOWLEDGMENTS; NOMENCLATURE; 1. Background and Objectives; 2. Overview of Modeling Procedures, Including Rationale for Selecting Scenarios for Worked Examples; 2.1. Types of Scenarios and Models; 2.2. Gross Screening Analysis; 2.3. Scenarios Selected for Worked Examples; 3. Input Data Required; 3.1. Source Data; 3.2. Site Characteristics; 3.3. Meteorological Data and Formulas for Calculating Input Parameters; 3.4. Receptor-Related Data; 4. Source Emission Models; 4.1. Conceptual Process for Source Term Determination
4.2. Calculation of Source Terms4.2.1. Gas Jet Releases; 4.2.2. Liquid Jet Releases; 4.2.3. Two-Phase Jet Releases; 4.2.4. Liquid Pool Spreading; 4.2.5. Liquid Pool Evaporation; 4.2.6. Multicomponent Evaporation; 4.3. Uncertainties in Source Term Estimation; 5. Dispersion Models; 5.1. Critical Richardson Number Criterion; 5.2. Jet Trajectory and Entrainment; 5.2.1. Momentum-Dominated Jets; 5.2.2. Elevated Dense Gas Jets; 5.2.3. Positively Buoyant Plumes; 5.3. Dense Gas Release at Grade; 5.3.1. Background and Overview; 5.3.2. Dense Gas Clouds in the Absence of Heat Exchange 5.3.3. Dense Gas Clouds in the Presence of Heat Exchanges5.4. Transport and Dispersion of Neutrally Buoyant or Passive Gas Clouds; 5.5. Simple Nomograms for Calculating the Dilution of Dense Gas Release; 5.6. Three-Dimensional Numerical Models of Dense Gas Dispersion; 5.7. Transport and Dispersion Near Buildings; 5.7.1. Plume Confinement by Canyons; 5.7.2. Concentrations on Building Faces Due to Releases from Vents; 5.7.3. Concentrations on the Building Downwind Face (the Near-Wake) Due to Releases from Sources on the Building; 5.7.4. Other Effects of Buildings 5.8. Worst Case Meteorological Conditions5.9. Removal by Dry and Wet Deposition; 5.9.1. Gravitational Settling of Lorge Particles or Aerosols; 5.9.2. Dry Deposition of Small Particles and Gases; 5.9.3. Removal of Particles and Gases by Precipitation and Clouds (Wet Deposition); 6. Averaging Times, Concentration Fluctuations, and Modeling Uncertainties; 6.1. Overview of Physical Considerations Related to Averaging Time; 6.2. Overview of Characteristics of Concentration Fluctuations in Plumes 6.3. Predictions of Concentrations on the Plume Centerline at a Given Downwind Distance as a Function of Averaging Time, Ta6.4. Predictions of Concentrations at a Given Receptor Position as a Function of Averaging Time, Ta; 6.5. Threshold Crossing Probability; 6.6. A General Structure for the Analysis of Model Uncertainties; 7. Overview of Operational Vapor Cloud Models in Common Use; 7.1. Summary of Commonly Used Models; 7.2. Characteristics of Commonly Used Vapor Cloud Dispersion Models; 8. Evaluation of Models with Field Data; 8.1. Description of Field Data Sets 8.2. Model Evaluation Procedures |
Record Nr. | UNISA-996212666903316 |
New York, : Center for Chemical Process Safety of the American Institute of Chemical Engineers, c1996 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
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