Impact of fugitive dust emissions from cement plants on nearby communities

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Impact of fugitive dust emissions from cement plants on nearby communities. 水土保持學所 79842001 劉昱麟. Introduction. The main objective of the present study was to assess the impact of the existing cement plant on the nearby community - PowerPoint PPT Presentation

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Impact of fugitive dust emissions from cement plants on nearby communities

水土保持學所79842001劉昱麟

Introduction

• The main objective of the present study was to assess the impact of the existing cement plant on the nearby community

• The dust emissions associated with the cement plant were investigated to ensure that the plant meet the air quality standards

• This paper will be useful for the cement industry, regulatory agencies, research organizations, consultants and all those concerned with monitoring and control of dust pollution

• a computerized air quality model specifically designed for computing impacts from fugitive dust sources

• Data requirements for FDM :

1. Dust emission sources

2. Particle fractions and density data

3. Receptor location

4. Meteorological data

5. Miscellaneous data

Fugitive Dust Model

Dust emission sources

Cement grinding operation

Kiln stacks

Trucks

Stockpiles

Limestone crushing operation

Limestone conveyor belt

62.9%

21.7%

8.3%

3.1%

2.9%

0.6%

Particle fractions and density data

Receptor location

Meteorological data

風向

風速

氣溫

穩定度 ( Pasquill穩定度等級分類)

混合層高度( Holzworth法估計)

Miscellaneous data

粒徑分級地表粗糙度特徵粒徑密度平均時間氣象資料時段模擬時段數風速計離地高度

Result and discussion

House 1 濃度值 : 312.08 ~ 423.83μg/m³

House 2 濃度值 : 196.19 ~ 358.91 μg/m³

House 3 濃度值 : 203 ~ 259.6 μg/m³

WHO guideline value : 120μg/m³>

These results revealed that the cement plant activities had impact on the air quality of the nearby residential houses

The modeling results tended to under predict the measured concentrations at all receptors

The value of the correlation coefficient for FDM was calculated as 0.9189, which showed a good agreement between measured and predicted values

Show the contours (isopleths) of predicted 24-h average TSP concentrations

• The FDM results tended to under-predicted the measured concentrations. However, the results of the comparison showed that performed well in predicting dust concentrations and that the model was adequate for application at the cement plant

• The study that is also recommended for investigation is the determination of the worst-case scenarios that lead to the highest concentrations of dust in the area

• Such studies will allow scientists to gain a better insight about FDM behavior, and to assess the reliability and accuracy of model predictions

Thanks for listening

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