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DISPER software: Air pollution map produced by three different stacks (XZ-plane)

More INFO: ISC 145 gas dispersion

Canarina software for analysis of air pollution in environment: air pollution control, environmental engineering, environmental consultancy service, environment simulation, environmental modeling and environmental impact assessment. Air dispersion software: ISC 145 gas dispersion

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DISPER: Air pollution dispersion ˇ DISPER - Solutions - Data - Algorithms - Emissions - Graphs - ISC3 (VOL. 2)

            

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Jet entrainment coefficient....................... 1‑11, 1‑14

Lateral dispersion parameters............... 1‑16, 1‑19, 1‑30

for the Long Term model.................................. 2‑4

Lateral virtual distance

for the Long Term model....................... 1‑64, 2‑2, 2‑4

Lateral virtual distances

for building downwash................................... 1‑26

Line source

approximation for Schulman‑Scire sources.......... 1‑12, 1‑13

Line sources, modeled as volumes. 1‑43, 1‑44, 1‑45, 1‑46, 2‑7

Linear decay factor

Schulman‑Scire downwash........................... 1‑13, 1‑29

Long‑term dispersion model............................... 2‑1

 

McElroy‑Pooler dispersion parameters

see Dispersion parameters............................... 1‑19

Mixing heights.......................................... 1‑33

Momentum flux...................................... 1‑6, 1‑13

Momentum plume rise......................... 1‑11, 1‑23, 1‑29

stable.................................................. 1‑10

unstable and neutral..................................... 1‑8

 

Open pit source

deposition algorithm.............................. 1-61, 2‑12

for the Long Term model................................. 2‑11

for the Short Term model................................ 1‑50

Open pit sources.................................. 1‑43, 1‑50

 

Pasquill‑Gifford dispersion parameters

see Dispersion parameters............................... 1‑16

Plume rise

for Schulman‑Scire downwash............................. 1‑12

for the Long Term model.................................. 2‑3

for the Short Term model........................... 1‑5, 1‑65

Point source

deposition algorithm.............................. 1‑60, 2‑11

dispersion parameters.............................. 1‑14, 2‑4

for the Long Term model.................................. 2‑1

for the Short Term model................................. 1‑2

Polar receptor network................................... 1‑3

 

Receptors

calculation of source‑receptor distances............ 1‑3, 1‑4

Rural

dispersion parameters................................... 1‑14

virtual distances................................. 1‑20, 1‑25

 

Schulman‑Scire downwash algorithm........................ 1‑5

Short‑term dispersion model.............................. 1‑1

Sigma‑y........................................... 1‑14, 1‑66

Sigma‑z........................................... 1‑14, 1‑66

Smoothing function

for the Long Term model............................. 2‑2, 2‑6

Stability parameter................................ 1‑8, 1‑14

Stack‑tip downwash....................................... 1‑6

for wake plume height................................... 1‑12

 

Uniform vertical mixing................................. 1‑32

Urban

decay term for SO2...................................... 1‑43

dispersion parameters................................... 1‑15

virtual distances................................. 1‑20, 1‑25

 

Vertical dispersion parameters.............. 1‑17, 1‑18, 1‑19

Vertical term........................... 1‑3, 1‑47, 1‑65, 2‑5

for gases and small particulates........................ 1‑31

for large particulates................................... 2‑6

for the Long Term model....................... 1‑65, 2‑3, 2‑5

for the Short Term model.......................... 1‑31, 1‑66

for uniform vertical mixing............................. 1‑32

in complex terrain...................................... 1‑67

in elevated terrain................................ 1‑33, 2‑6

Vertical virtual distances

for building downwash............................. 1‑24, 1‑25

Virtual distances......... 1‑20, 1‑21, 1‑28, 1‑29, 1‑44, 1‑47

for the Long Term model............................. 2‑4, 2‑5

for volume sources...................................... 1‑44

Virtual point source.................... 1‑43, 1‑64, 2‑2, 2‑7

Volume source........................................... 1‑46

deposition algorithm.............................. 1‑60, 2‑11

for the Long Term model.................................. 2‑7

for the Short Term model................................ 1‑43

 

Wet deposition

for the Short Term model................................ 1‑61

Wind speed

minimum wind speed for modeling.......................... 1‑5

Wind speed profile............................ 1‑4, 1‑65, 2‑3

 

 

ISC3 DISPERSION MODELS (VOL. 2): 1 - 2 - 3 - 4 - 5 - 6 - 7 - 8 - 9 - 10 - 11 - 12 - 13 - 14 - 15 - 16 - 17 - 18 - 19 - 20 - 21 - 22 - 23 - 24 - 25 - 26 - 27 - 28 - 29 - 30 - 31 - 32 - 33 - 34 - 35 - 36 - 37 - 38 - 39 - 40 - 41 - 42 - 43 - 44 - 45 - 46 - 47 - 48 - 49 - 50 - 51 - 52 - 53 - 54 - 55 - 56 - 57 - 58 - 59 - 60 - 61 - 62 - 63 - 64 - 65 - 66 - 67 - 68 - 69 - 70 - 71 - 72 - 73 - 74 - 75 - 76 - 77 - 78 - 79 - 80 - 81 - 82 - 83 - 84 - 85 - 86 - 87 - 88 - 89 - 90 - 91 - 92 - 93 - 94 - 96 - 97 - 98 - 99 - 100 - 101 - 102 - 103 - 104 - 105 - 106 - 107 - 108 - 109 - 110 - 111 - 112 - 113 - 114 - 115 - 116 - 117 - 118 - 119 - 120 - 121 - 122 - 123 - 124 - 125 - 126 - 127 - 128 - 129 - 130 - 131 - 132 - 133 - 134 - 135 - 136 - 137 - 138 - 139 - 140 - 141 - 142 - 143 - 144 - 145

 

Canarina Algoritmos Numéricos, S.L.

Environmental software solutions

Software for environmental impact

                    

                          

Canary Islands, Spain

e-mail: contact us

 

 

 

European network on pollution ˇ European Union

Member of MAPO: European network on Marine Pollution. Project

funded by the European Commission through the

6th Framework Programme for Research and Development

Air dispersion software: ISC 145 gas dispersion

 

CANARINA: Home - Air pollution ˇ DISPER - Noise pollution ˇ CUSTIC - Water pollution ˇ DESCAR - Contact us

DISPER: Air pollution dispersion ˇ DISPER - Solutions - Data - Algorithms - Emissions - Graphs - ISC3 (VOL. 2)

SOLUTIONS: Air pollution dispersion ˇ DISPER - Software solutions - Software advantages - Price - DEMO download

COMMANDS: Input data I - Input data II - Input data III - Input data IV - Temporal average - Import and export data - Software commands

ALGORITHMS: Algorithms I - Algorithms II - Algorithms III - Algorithms IV - Algorithms V Algorithms VI - Algorithms VII - Algorithms VIII - Algorithms IX - Algorithms X

EMISSIONS: Emissions I - Emissions II - Emissions III - Pollutants I - Pollutants II

GRAPHS: Graphs I - Graphs II - Graphs III - Graphs IV

ISC3 DISPERSION MODELS (VOL. 2): 1 - 2 - 3 - 4 - 5 - 6 - 7 - 8 - 9 - 10 - 11 - 12 - 13 - 14 - 15 - 16 - 17 - 18 - 19 - 20 - 21 - 22 - 23 - 24 - 25 - 26 - 27 - 28 - 29 - 30 - 31 - 32 - 33 - 34 - 35 - 36 - 37 - 38 - 39 - 40 - 41 - 42 - 43 - 44 - 45 - 46 - 47 - 48 - 49 - 50 - 51 - 52 - 53 - 54 - 55 - 56 - 57 - 58 - 59 - 60 - 61 - 62 - 63 - 64 - 65 - 66 - 67 - 68 - 69 - 70 - 71 - 72 - 73 - 74 - 75 - 76 - 77 - 78 - 79 - 80 - 81 - 82 - 83 - 84 - 85 - 86 - 87 - 88 - 89 - 90 - 91 - 92 - 93 - 94 - 96 - 97 - 98 - 99 - 100 - 101 - 102 - 103 - 104 - 105 - 106 - 107 - 108 - 109 - 110 - 111 - 112 - 113 - 114 - 115 - 116 - 117 - 118 - 119 - 120 - 121 - 122 - 123 - 124 - 125 - 126 - 127 - 128 - 129 - 130 - 131 - 132 - 133 - 134 - 135 - 136 - 137 - 138 - 139 - 140 - 141 - 142 - 143 - 144 - 145