title: Validation of two air quality models for Indian mining conditions.
abstract: All major mining activity particularly opencast mining contributes to the problem of suspended particulate matter (SPM) directly or indirectly. Therefore, assessment and prediction are required to prevent and minimize the deterioration of SPM due to various opencast mining operations. Determination of emission rate of SPM for these activities and validation of air quality models are the first and foremost concern. In view of the above, the study was taken up for determination of emission rate for SPM to calculate emission rate of various opencast mining activities and validation of commonly used two air quality models for Indian mining conditions. To achieve the objectives, eight coal and three iron ore mining sites were selected to generate site specific emission data by considering type of mining, method of working, geographical location, accessibility and above all resource availability. The study covers various mining activities and locations including drilling, overburden loading and unloading, coal/mineral loading and unloading, coal handling or screening plant, exposed overburden dump, stock yard, workshop, exposed pit surface, transport road and haul road. Validation of the study was carried out through Fugitive Dust Model (FDM) and Point, Area and Line sources model (PAL2) by assigning the measured emission rate for each mining activity, meteorological data and other details of the respective mine as an input to the models. Both the models were run separately for the same set of input data for each mine to get the predicted SPM concentration at three receptor locations for each mine. The receptor locations were selected such a way that at the same places the actual filed measurement were carried out for SPM concentration. Statistical analysis was carried out to assess the performance of the models based on a set measured and predicted SPM concentration data. The value of coefficient of correlation for PAL2 and FDM was calculated to be 0.990-0.994 and 0.966-0.997, respectively, which shows a fairly good agreement between measured and predicted values of SPM concentration. The average index of agreement values for PAL2 and FDM was found to be 0.665 and 0.752, respectively, which represents that the prediction by PAL2 and FDM models are accurate by 66.5 and 75.2%, respectively. These indicate that FDM model is more suited for Indian mining conditions.
authors.affiliation: Central Mining Research Institute, Dhanbad, India. chaulyask@yahoo.co.in
authors.forename: S K
authors.initials: SK
authors.lastname: Chaulya
authors.forename: M
authors.initials: M
authors.lastname: Ahmad
authors.forename: R S
authors.initials: RS
authors.lastname: Singh
authors.forename: L K
authors.initials: LK
authors.lastname: Bandopadhyay
authors.forename: C
authors.initials: C
authors.lastname: Bondyopadhay
authors.forename: G C
authors.initials: GC
authors.lastname: Mondal
mesh_terms: D016902:Air Pollution, Indoor / Q000032:analysis*; D004391:Dust; D004784:Environmental Monitoring / Q000379:methods*; D005544:Forecasting; D006801:Humans; D007194:India; D008906:Mining; D010316:Particle Size; D011786:Quality Control; D012044:Regression Analysis; D018570:Risk Assessment
chemical_list: D004391:Dust