Estimation of industrial dust using exposure-profiling method
2015 (English)Doctoral thesis, comprehensive summary (Other academic)
Dust is a primary cause for air quality deterioration, as well as a potential health hazard. Mining and construction sites, in particular, are the most profound in dust generation. The possible source activities are drilling, loading, transporting, dumping, crushing, stockpiles, waste rock and unprotected open surfaces, etc. Dust can be any airborne contaminants occur in the gaseous form or as aerosols. This research dealt with ‘fugitive dust’ which is defined as dust that could not reasonably pass through a stack, chimney, vent, or other functionally equivalent openings, and does not include non-geologic particulate matter emitted directly by internal and external combustion processes. Fugitive dust and dust are used interchangeably in this thesis.In mining areas, construction sites or other industrial areas, fugitive dust is generated through wind erosion of surface materials or application of mechanical forces. The transportation of dust particles is a result of wind direction, velocity, source activities, particles dispersion characteristics, topography, control methods, and so on. A case study on dust fallout from Malmberget Iron Mine showed that the dust generation due to the mining activities in Malmberget Iron Mine influences the down-wind residential areas depending on the weather conditions and the rate of dust generation; the sources of dust generation from Malmberget Iron Mine are haul road transportations, active stockpiles, and the open pit with the loose surface materials. Dust due to wind erosion of the loose material from the open pit is somewhat insignificant as the lab tests showed that the surface material was slightly to moderately erodible and has the soil erosion index of 4.7kg/m2/year.To measure dust generation, three sites were used. They are unpaved roads, road construction and the Aitik tailings dam. This was achieved using an exposure-profiling method with Big Spring Number Eight (BSNE) samplers. Wind erosion prediction system (WEPS) was also used to model the wind erosion process on the Aitik tailings dam. The measurement for the unpaved roads showed that dust generation strongly depends on the driving speed and silt content of road surface materials when the moisture contents are the same. The estimated dust emission rate from the road construction work during the measuring period was 22.87 kg TSP/d, of which 6 kg/d was from construction work and 16.87 kg/d was generated due to traffic on temporary roads. The measured total suspended material from the Aitik tailings dam was 0.475kg/m2 for five days, which had a big difference with simulated value of 4.4559 kg/m2. Many reasons contributed to the disagreement between the simulated value and the measured value. In order to use the model for mining industry more tests are required to validate the modeling result. This could be useful in adjusting the internal coefficients and empirical equations.The research concluded that the exposure-profiling method with BSNEs worked best for the unpaved roads which is a line source, whereas for the road construction and the Aitik tailings dam the method was not robust enough. BSNE sampler is cheap and widely used, but can produce poor accuracy in some cases. Upwind-downwind method with active samplers is recommended for the road construction and the tailings dam which are the non-line sources in the future work. Both of the methods are applicable for development of dust emission factors. WESP is a soil erosion model designed for agriculture land and need to be validated with more field tests in order to be used for the tailings dam.
Place, publisher, year, edition, pages
Luleå tekniska universitet, 2015.
Doctoral thesis / Luleå University of Technology 1 jan 1997 → …, ISSN 1402-1544
Research subject Soil Mechanics
IdentifiersURN: urn:nbn:se:ltu:diva-18651Local ID: 99941cd4-82c2-48d9-b1e4-85c72862b85fISBN: 978-91-7583-194-7ISBN: 978-91-7583-194-4 (PDF)OAI: oai:DiVA.org:ltu-18651DiVA: diva2:991661
Godkänd; 2015; 20140506 (qijia); Nedanstående person kommer att disputera för avläggande av teknologie doktorsexamen. Namn: Qi Jia Ämne: Geoteknik/Soil Mechanics and Foundation Engineering Avhandling: Estimation of Industrial Dust Using Exposure-Profiling Method Opponent: Professor emeritus John McManus, School of Geography and Geosciences, University of St Andrews, St Andrews, Storbritannien Ordförande: Professor Sven Knutsson, Avd för geoteknologi, Institutionen för samhällsbyggnad och naturresurser, Luleå tekniska universitet, Luleå Tid: Onsdag 23 september 2015, kl 10.00 Plats: F1031, Luleå tekniska universitet2016-09-292016-09-29Bibliographically approved