IRED_DPT_Dscape-25-26October 2014-301014

Monitoring and Prediction of Fugitive Dust
Concentration in an Opencast Coal Project
[Dr. D.P. Tripathy]
The mine was divided into 3 quarries, i.e.
quarry1 to quarry 3. The total mines area
was about 4.84 km2.In this area as mining
operation is the main activity, dust pollution
is the dominating factor for air pollution
Abstract— This paper focuses on the
real time monitoring of dust level at
different sources of a mechanised coal
mine using DustTrak II and finally
prediction of dust concentration at
different locations of the mine and
nearby areas using AERMOD view
software. The paper summarizes the
findings of dust measurement at
different work places in different size
range and using meteorological data and
AERMOD software dust concentration
around the mine were predicted. The
predicted value of dust concentrations
(PM10) were compared with NAAQS2009 standard.
Dust Measurement and
Dispersion Modelling
The dust concentration was monitored
by using an instrument DustTrakII.
Dispersion modelling is a modern tool for
prediction of pollution concentration at
different locations within or surrounding
the mining area. In this study AERMOD
software was used for prediction of dust
Keywords— fugitive dust, coal mine,
dusttrak II, AERMOD
Dust generation and its dispersion has been
the major concern in large opencast coal
projects. Airborne dust below 10 micron
size can result in significant health risk to
concentrations from different sources is
essential in opencast coal mines and can be
done using DustTrak II. Air dispersion
concentrations of a compound at specific
spatial locations (called receptors) using
mathematical equations
Dust Monitoring
Monitoring was done by DustTrak II at
nearly 9 locations. The results show that at
all the operational points the dust
concentration was very high. The drilling
accounts for maximum values of dust
concentration. The blasting point and
loading-unloading point shows somehow
high operation so to collect values for all
size of particles with the instrument is not
possible. For concentrations of dust during
operation and the average concentration
were comparatively lower in those areas.
As blasting is an instantaneous that reason
only monitoring was done for 10µm only.
Materials and Methods
Results and discussion
Study area
The study area (Lakhanpur OCP) is situated
in Jharsuguda district in Orissa.
Dr. D.P. Tripathy, Professor
Department of Mining Engineering,
National Institute of Technology, Rourkela,India
Email- [email protected];
[email protected]
Meteorological data was collected from the
nearby whether station. AERMET file
which was used as an input file in the
AERMOD. Cloud Cover (tenths), Dry Bulb
Meteorological analysis of the
Temp (°C), Relative Humidity (%),Station
Pressure (mbar), Wind Direction (deg),
Wind Speed (m/s), Ceiling Height (m),
Hourly Precipitation (1/100 th of inch),
Global Horizontal Radiation (Wh/m2) were
taken as meteorological parameter for the
study. Wind rose plot is shown in Fig.1. The
result shows that 34.17% time wind was in
calm condition.
The data from above field monitoring of
dust concentrations using DustTrak-II at
LOCP, it can be suggested that the
maximum dust concentration was obtained
at drilling point with average concentration
of 26.8 mg/m3 and maximum concentration
of 150.000mg/m3 in PM10 range.
Minimum mean dust concentration was
found at loading point at 0.474mg/m3 for
≤ PM10.. For 24hr period, dust
concentration for PM10 at all other places
except at Bartap, Adhapara, Lakhanpur,
Dalgaon, Negipali, Kirarama, Katapali,
Kudopali and Baliput, were found to be
above NAAQS limit of 60 µg/m3.
Figure 1: Wind rose
Figure 2: Highest 24 hour dust concentration
Isopleths as seen in Google earth
Modelling by using AERMOD
The prediction was done for about 30
different locations for both 24 hour average
and annual average value, present near to
the mine . The values from the table shows
that at some locations like Tringismal,
Khuntmahul, Karlajori, Khairkuni the
values are far above the standard level for
both 24 hour and annual data.
The modelling pictures gives the ideas of
dust concentration at different location
around mine. The model also obtained by
incorporation of google earth for 24 hour
maximum value and annual average value.
Figure 2 shows the 24 hour maximum value
on google earth map, indicating direct
concentration level at specific sources.
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