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Jason A. Roney , Bruce R. White Estimating fugitive dust emission rates using an environmental boundary layer wind tunnel 2012/04/30 報報報 報報報

Estimating fugitive dust emission rates using an environmental boundary layer wind tunnel

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Estimating fugitive dust emission rates using an environmental boundary layer wind tunnel. Jason A. Roney , Bruce R. White. 2012/04/30 報告人:趙彥勛. Outline. Introduction Experimental methods Results Conclusions. Introduction. - PowerPoint PPT Presentation

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Page 1: Estimating fugitive dust emission rates using an environmental boundary layer wind tunnel

Jason A. Roney , Bruce R. White

Estimating fugitive dust emission rates using an environmental boundary layer wind tunnel

2012/04/30報告人:趙彥勛

Page 2: Estimating fugitive dust emission rates using an environmental boundary layer wind tunnel

Outline

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Introduction

Experimental methods

Results

Conclusions

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The measurements made in this paper allow for systematic determination of PM10 emission rates through the use of an environmental boundary layer wind tunnel in the laboratory.

PM10 (particulate matter with sizes of 10 μm aerodynamic diameter)

Introduction

Page 4: Estimating fugitive dust emission rates using an environmental boundary layer wind tunnel

Overview of methodology

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The primary goal of the research presented in this paper is to describe a novel methodology for determining fugitive dust emission rates using an environmental boundary layer wind tunnel in the laboratory.

A case study involving Owens (dry) Lake soils is used to exhibit the methodology.

Page 5: Estimating fugitive dust emission rates using an environmental boundary layer wind tunnel

Overview of methodology

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Through wind erosion analysis of four soils in a laboratory wind tunnel, quantification of the emission rates of dust, specifically, PM10 at Owens (dry) Lake are estimated using a novel approach.

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Emission rates and dust suspension

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The emission rate is defined as the amount of mass suspended per unit area of surface soil per unit time.

Dust < 50 μm, Sand > 50 μm (Lancaster and Nickling, 1994)

Long-term suspension of dust is estimated for diameters < 20 μm (Pye, 1987)

PM10 has the potential for long-term suspension.

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Emission rates and dust suspension

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Suspension and production of dust occurs through two mechanisms:

1.Abrasion 2.Through the direct action of the wind on the surface.

Abrasion can occur through saltation while wind forces cause both wind shear and turbulent shear (Braaten et al., 1993)

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Emission rates and dust suspension

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The vertical flux of dust :

In this paper we will use the vertical flux of dust to provide a comparison between our data and existing field data.

Page 9: Estimating fugitive dust emission rates using an environmental boundary layer wind tunnel

Experimental methods

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Soil collection rationale and preparation

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Jason A. Roney, Bruce R. White (2004) Definition and measurement of dust aeolian thresholds F01013

Wind tunnel

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Wind tunnel

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Wind tunnel

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Schematic representing the method of determining loose soil emission rates with a control volume.

Loose soil emission measurements

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Emission rate equation

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Sand flux

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Results

16Fig. 3

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17Fig. 5

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18Fig. 4

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19Fig. 6

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20Fig. 7

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21Fig. 8

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22Fig. 9

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Sand ripples in wind tunnel photograph (2012/03/18) by Chao Yen Hsun

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24Fig. 10

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25Fig. 11

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26Fig. 12

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27Fig. 13

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28Fig. 14

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Conclusions

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Though the variables are numerous, the wind tunnel proved to be a significant aid in quantifying conditions for high emissions.

First order conditions (wind, surface roughness, and soil types) similar to those at Owens (dry) Lake were matched and emission rates established for each of the four soils.

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Conclusions

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A ratio of horizontal PM10 flux FH to the total soil flux qtot (sand and dust) was calculated and plotted for all the cases. The wind-tunnel results for this ratio as well as the vertical flux ratio compare favorably with the field techniques of Niemeyer et al. (1999) (sun photometer) and Gillette et al. (1997a) (multiple on-lake monitoring sites) at Owens (dry) Lake.

The wind tunnel, thus, provides comparable data to two separate field techniques and can be applied systematically without relying on the variability of the wind, making this technique invaluable in assessing the potential emissions of fugitive dusts.

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Conclusions

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Fetch effect studies were conducted to observe the development of emissions along the test bed.

The height limitation of the wind tunnel can also aid in reaching this saturation. The fetch effect is critical in estimating emissions at Owens (dry) Lake as well.

This study shows that it is unlikely that PM10 emissions rate will continually increase across an erodible surface, but may instead reach saturation states.

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Conclusions

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This is contrary to the Owen effect as described in Gillette et al. (1997b), which states that the horizontal mass flux or saltation should increase over the fetch, and as a result the dust emissions should also increase. However, in Gillette et al. (1997a), an increasing measured saltation rate was measured along a 100m fetch at Owens (dry) Lake, but dust emissions decreased in the first 50m before recovering.

The wind tunnel experiments may be exposing a near-surface saturation effect that may also occur on the playa as well.

Page 33: Estimating fugitive dust emission rates using an environmental boundary layer wind tunnel

Thanks for your attention !

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