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@PHDTHESIS{zdemir:464364,
author = {Özdemir, Ismet},
othercontributors = {Martens, Per Nicolai and Niemann-Delius, Christian},
title = {{A} {D}ecision {S}upport {S}ystem and {C}ost-{P}erformance
{A}nalysis for {D}ust {C}ontrol at {O}pen-{P}it {C}oal
{M}ines},
school = {RWTH Aachen University},
type = {Dissertation},
address = {Aachen},
publisher = {Publikationsserver der RWTH Aachen University},
reportid = {RWTH-2015-01233},
pages = {IX, 179 S. : Ill., graph. Darst.},
year = {2015},
note = {Aachen, Techn. Hochsch., Diss., 2014},
abstract = {Fugitive dust emissions from mining activities can have
severe health and environmental impacts unless adequately
controlled. Designing proper mine dust control strategies
requires evaluation of two main aspects: dust emission
levels and cost-effectiveness of control methods. These
aspects can be adequately evaluated by integrating location-
and activity-specific dust emission factors, reduction
factors and the cost parameters of control methods. This
thesis presents a decision support system (Dust-DSS) that is
capable of estimating open-pit coal mine dust emissions and
the cost-performance of dust control methods on the basis of
these specific parameters. Additionally, this thesis
investigates the dust emission levels from different mining
activities and the limits of applicability of prominent dust
control methods.The DSS integrates dust emission factors of
mining activities, reduction factors and the cost parameters
of dust control methods designed for a typical open-pit hard
coal mine, the NBCC mining site at Ha Long (Vietnam). The
emission factors were derived using data obtained from
real-time dust emission measurements at the NBCC site.
Similarly, the reduction factors of the dust control methods
were developed by either analyzing data from the real-time
measurements or reviewing the relevant literature. Finally,
the cost parameters of these dust control methods (e.g.,
operational constants, unit equipment and material costs)
were determined on the basis of the observations at the NBCC
mining site and actual market prices. The developed Dust-DSS
includes a guide module, i.e., best practice guide (BPG) and
a computational module. The BPG is a text-based document
that presents background information for envisaging mine
dust control approaches. The computational module provides a
platform to calculate emission levels from different mining
activities and cost-performance of related control methods.
This module was built by incorporating location- and
activity-specific dust emission factors, reduction factors
and the cost parameters of control methods determined within
the scope of this thesis. Predictive Dust-DSS scenarios were
developed and simulated in order to identify major mine dust
sources and applicability limits of different dust control
methods. The scenario simulations revealed that overburden
haulage and wind erosion are the major dust sources for the
investigated open-pit coal mining operations. Their impact
varies according to the critical parameters, i.e., road
length for overburden haulage and exposed area for wind
erosion. Moreover, the simulation results showed that these
parameters, as well as the interest rate and the project
duration determine the feasibility of the dust control
methods. To sum up, the dust emission and reduction factors
presented for the mining site investigated in this thesis
can be applied for other mining operations with comparable
mining and dust control conditions. Furthermore, the
Dust-DSS based on these factors can be employed to design
cost-effective dust control strategies for any active or
planned open-pit coal mining operation. The work presented
in this thesis has been completed within the framework of
the “Research Association Mining and Environment in
Vietnam” (RAME) that aims to develop and implement
measures as well as to carry out capacity building to
address environmental impacts of hard coal mining in
Vietnam.},
cin = {511110 / 510000},
ddc = {550},
cid = {$I:(DE-82)511110_20140620$ / $I:(DE-82)510000_20140620$},
typ = {PUB:(DE-HGF)11},
urn = {urn:nbn:de:hbz:82-rwth-2015-012335},
doi = {10.18154/RWTH-2015-01233},
url = {https://publications.rwth-aachen.de/record/464364},
}
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