Air modelling presentation final2

Asian Institute of TechnologyAir Pollutant Modelling and Its Application

“Evaluation of CO Concentration Level in Delhi by Muair2.0, ISC3 &

Caline4”Prepared by:

Miss. Thiri Tin HtutMr. Bishal Bhari

Mr. Visal Yoeung

Mr. Pongsakorn Chaichai

May 1, 2014

Contents

Introduction

Methodology

Result and Discussion

ConclusionsIV

III

II

I

2

Introduction

A.P.Mod. Plays a vital role in A.P Control and

management

A.P modelling software are built with

different assumption and computation

methods

Accuracy of the model depends on different

factors

3

Objectives

To get acquainted with A.P.Mod1

To model the CO concentration in Delhi for the year 20022

To compare and analyze the result from different model3

4

Model Used

MUAIR2.01

ISC2

Caline43

Area & Point Source

Area & Point Source

Line Source

5

6Methodology

Modelling with MUAIR2.0

7

About MUAIR2.0

Developed for the transport project within the ARRPEEC (AITT)

Predicts impact of emission from Urban area

MUAIR is a 2D, multi-box dispersion model

Uses mathematical formula of Atmospheric Turbulence and Diffusion Laboratory (ATDL) Model

Height of the top lid proportional to the vertical dispersion parameter

Integral form of the Gaussian plume model and treats an area source as an infinite array of infinitesimal point sources

8

Basic Features of MUAIR2.0

Applicable for less reactive pollutant like CO

Does not consider chemical transformation

First 5 stability classes

Uses wind direction in degrees (0-360) and wind speed in m/s

Can’t handle calm wind

Output in mg/m3 or μg/m3

9

Case A: For all Area sources

2000 4000 6000 8000 10000 12000 14000 16000 18000 20000

2000

4000

6000

8000

10000

12000

14000

16000

1st h ighest hourly concentration (m iligram /m 3)

0

20

40

60

80

100

120

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240

260

280

2000 4000 6000 8000 10000 12000 14000 16000 18000 20000

2000

4000

6000

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10000

12000

14000

16000

Average hourly concentration (m iligram /m 3)

0

5

10

15

20

25

30

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75

80

20 HH Conc

Highest concentration for an hour occurred in 20th April 2002 at the (12500,6500) domain with the concentration of 271.39 mg/m3 CO concentration.

20 HAAvg Conc

Highest average annual concentration of 78.83 mg/m3 occurred at (12500, 6500)

10

Case B: For 5 selected/marked red grid area sources

20 HH Conc


20 HAAvg Conc


2000 4000 6000 8000 10000 12000 14000 16000 18000 20000

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Average hourly concentration (m iligram /m 3)2000 4000 6000 8000 10000 12000 14000 16000 18000 20000

2000

4000

6000

8000

10000

12000

14000

16000

05101520253035404550556065707580859095100105110115120125130135


11

Case C: For Point sources emission

20 HH Conc


20 HAAvg Conc


2000 4000 6000 8000 10000 12000 14000 16000 18000 20000

2000

4000

6000

8000

10000

12000

14000

16000

00.511.522.533.544.555.566.577.588.599.51010.511


2000

4000

6000

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10000

12000

14000

16000

0

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1st h ighest hourly concentration (m iligram /m 3)12

Case D: For all 5 marked area sources and point sources

20 HH Conc


20 HAAvg Conc


2000 4000 6000 8000 10000 12000 14000 16000 18000 20000

2000

4000

6000

8000

10000

12000

14000

16000

0246810121416182022242628303234363840


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12000

14000

16000

0

10

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13

Summary of all case

A B C D

Hourly 271.39 134.82 34.93 144.09

Annual 78.83 36.56 10.61 38.55

25

75

125

175

225

275

325

375

425

(12500,6500)

(12500,12500)

(14500,9500)

(12500,8500)

(12500,6500)

(12500,12500)(12500,8500)

(11500,9500)

Case A: Area SouceCase B: Selected Grid Area Source

Case C: Point SourceCase D: Marked Area Source & Point Source

Conc

entr

ation

(mg/

cu.m

)14

Monthly Avg. CO Conc. at the Receptor

• R3 had the highest concentration throughout the year• R4 was not affected by the point and area sources since it is located far

from the combined source• R3 and Receptor R5 received the highest concentration of CO for the

month from October to March

15

Modelling with ISC 3

16

About ISC

ISC (Industrial Source Complex) model is a steady-state Gaussian plume model which can be used to assess pollutant concentrations from a wide variety of sources associated with an industrial complex.

This model can account for the following:

Point, area, line, and volume sources

Settling and dry deposition of particles

Downwash

Separation of point sources

Limited terrain adjustment

17

Input data RequirementsSource data

Dimensions of the source

Emission discharge rate

Release height of the emission source

18

Meteorological data Ambient temperature, K

Wind flow

Wind speed, m/s

Atmospheric stability classes (A through F)

Urban and rural mixing height, m

20 HH Conc.

Highest concentration for an hour occurred in 11th Feb 2002 at the (12000,9000) domain with the concentration of 37.09 mg/m3 CO concentration.

20 HAAvg Conc.


Case B: For 5 selected/marked red grid area sources1st highest for hourly CO concentration

Annual average CO concentration

19

20 HH Conc.

Highest concentration for an hour occurred in 1sh Oct 2002 at the (15000,15000) domain with the concentration of 0.25 mg/m3 CO concentration.

20 HAAvg Conc.


1st highest for hourly CO concentration


Case C: For Point sources emission

20

20 HH Conc.

Highest concentration for an hour occurred in 20th May 2002 at the (12000,9000) domain with the concentration of 37.11 mg/m3 CO concentration.

20 HAAvg Conc.


1st highest for hourly CO concentration


Case D: For all 5 marked area sources and point sources 2

1

The contribution of each source type

4.72%

2.97%

92.31%

R3 R4 R5

Receptor

Concentration (mg/m3)

R3 0.39

R4 0.25

R5 7.6

Total 8.26

Contribution of each source type to the annual average CO at receptor R3,R4 and R5

22

Compare the results of MUAIR and ISC models

Case

MUAIR

1st highest hourly

(mg/m3)

Coordinate (X,Y)

1st annual average (mg/m3)

Coordinate (X,Y)

B 134.8212500,1250

036.56

12500,12500

C 34.93 14500,9500 10.61 14500,9500

D 144.09 12500,8500 38.55 11500,9500

ISC

B 37.0912000,900

011.28

12000,9000

C 0.2515000,150

000.009

11000,11000

D 37.1112000,900

011.29

12000,9000

B C D B C D

1st highest hourly 1st annual average

MUAIR

ISC

** The ISC grids are shifted by a half of grid (500 m) in both X and Y directions in order to compared with MUAIR results.

23

Modelling with ISC 5 (Part2)

24

Concentration of Area Sources20 HH Conc.

Highest concentration for an hour occurred in 20th

May 2002 at the (12000,9000) domain with the concentration of 37.09 mg/m3 CO concentration.

1st H annual Conc. 1st Highest concentration for an annual occurred at the (12000,9000) domain with the concentration of 7.52 mg/m3 CO concentration.

Concentration of Point Sources

20 HH Conc.Highest concentration for an hour occurred in 1st Oct 2002 at the (15000,15000) domain with the concentration of 0.25 mg/m3 CO concentration.


25

Concentration of Combined Sources20 HH Conc.

Highest concentration for an hour occurred in 20th

May 2002 at the (12000,9000) domain with the concentration of 37.11 mg/m3 CO concentration.


Comparison the first HH and HA Conc of ISC Part 1 and Part 2

Case

ISC PART 11st

highest hourly

(mg/m3)

Coordinate (X,Y)

1st highest annual (mg/m3)

Coordinate (X,Y)

Area 37.09 12000,9000 11.28 12000,9000

Point 0.25 15000,15000 0.01 11000,11000

Combined

37.11 12000,9000 11.29 12000,9000

ISC PART 2

Area 37.09 12000,9000 7.52 12000,9000

Point 0.25 15000,15000 0.01 11000,11000

Combined

37.11 12000,9000 7.53 12000,9000

In Part 2, the emission from the area sources were reduced by 50% during daytime (6:00am to 6:00pm) which effected in the ISC model running result that the Part 2 is lower concentration than Part 1 in area source and combined source in same coordinate.

26

Comparison annual Avg CO Conc at receptor R3, R4 and R5

Case Concentration ((µg/m3)

R3 R4 R5

Area 242.27338

150.96539

5051.03174

Point 4.53533 5.25978 4.99416

Combined 246.80685

156.22371

5055.95752

Area Point Combined0

1000

2000

3000

4000

5000

6000

Receptor 3 Receptor 4 Receptor 5

µg/

m3

27

Modelling With Caline4

28

About Caline4

Caline4 model is the 4 generation simple line source Gaussian plume dispersion model.

Predicts the conc. CO, NO2, and PM10/ PM2.5 near roadways (highway, arterial streets) for relatively uncomplicated terrains.

Handle up to 20 link and 20 receptors but the model cannot predict concentration within 3 meters from lane edge

The important input parameters required Classified traffic volume (number of vehicles per hour), Meteorological parameters (wind speed, wind direction,

ambient temperature, mixing height and stability class) Emission parameters (weighted emission factor, WEF),

road geometry (road width, median width, road elevation),

Type of terrain (rural or urban), background CO concentration (ppm or µg/m3) at pre-identified receptor locations along the road corridors.

29

Estimate the line source contribution to the receptor R1- R6 with the Standard, Worst case, Multi-run, and Multi-run-worst case

Period: 6 am of Jan 18th

2002

Wind speed: 1.2 m/s

Wind direction: the

majority of wind comes

from the East

The road is divided into

12 sections

6 receptors are placed

to measure the CO

Conc.

30

Estimate the line source contribution to the receptor R1- R6 with the Standard, Worst case, Multi-run, and Multi-run-worst case

Cases

Predicted concentration (ppm)

R1 R2 R3 R4 R5 R6

Standard 0.7 0.0 0.4 0.0 0.4 0.0

Worst Case 1.1 0.9 0.5 0.5 0.4 0.7

Standard run: highest CO is 0.7 ppm at R1

Worst Case run: max CO is 1.1 ppm at R1

Multi run: highest avg co in 8 hr is 0.27 ppm

Multi run worst: Max avg Co in 8 is 0.73 ppm

31

Estimate the relative contribution from each of 3 types of sources at R5

Area Line Point0

20

40

60

80

100

82.46

17.12

0.42

Perc

enta

ge(%

)

32

Estimate the line source contribution to the new receptors

Period: 24 hour of Jan 18

Max Wind speed: 1.2 m/s

Wind direction: the

majority of wind comes

from the South

The road is divided into 12

sections

20 receptors are placed to

predict the CO Conc.

33

Estimate the line source contribution to the new receptors By Worst Case Run

Worst Case: The hourly max of CO is 4.6

ppm at the receptor R1 Beyond 1km, there has no max

of CO > 34.2 ppm (std)

34

Multi run Worst Case: The average max of every

8hrs CO conc = 2.77 ppm at R1

1km, the max of CO conc < 10.4 ppm (std) in every8hr

Estimate the line source contribution to the new receptors By Multi Run Worst Case 3

5

Conclusion 36

The Concentrations of CO obtained from Muair2.0 are significantly higher than ISC for all cases. The reasons of the different concentration results produced by the both model are: MUAIR considers point source as area source while ISC can

handle both sources. MUAIR uses only first 5 stability classes for calculation while

stability classes 6 and 7 are treated as class 5 in the calculation

ISC model can handle the multiple source types in the domain => produce the result more accurate than Muair.

For line source, Caline4 can predict the concentration at each receptor location, resulting the different concentration levels at each receptor. All the concentrations predicted by worst case and Multi run worst case are higher than standard run and Multi run since the both worse case and multi run produce the maximum concentration at each receptor.

At receptor R1 was found highest concentration comparing to other receptors due its location close to the road.

Thanks For Your Attention

37

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Air modelling presentation final2