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Dust concentration distribution patterns of different particulate matter in atmosphere in a surface coal mine of Wuhai city near the Yellow River during spring |
LIU Yun1, WANG Ruoshui1, ZHANG Yan1, ZHAO Tingning1, WANG Jinghua2, WU Hongxuan1, HU Ping1 |
1. School of Soil and Water Conservation, Beijing Forestry University, 100083, Beijing, China; 2. The School of Technology, Beijing Forestry University, 100083, Beijing, China |
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Abstract [Background] Unit operations in a surface coal mine such as drilling, blasting, loading, transport and unloading cause the particulate matter (PM) emission in different sizes directly to the atmosphere worsening human health and surrounding environment. The investigation was carried out to study the mass concentration distribution and impact factors on PM (including PM1.0,PM2.5,PM10.0,and TSP) in the producing dust area in typical windy days during spring in the arid region of northwest China.[Methods] The mine area was divided into mine entrance (ME), mining pit around (MA), road in the mine (RM), mine office (MO) and coal storage yard (CS). The area outside the mine was divided into industrial estate (IE), special road for transporting coal (RC) and Jinshawan (JS). A total of 16 monitoring points were set in the whole study area. Portable environmental dust detector was used to monitor the dust concentration in different areas inside and outside the coal mine during spring (in April and May). The meteorological data in the area were recorded by DAVIS Vantage pro2 automatic weather station. The analysis and drawing were conducted using software SPSS 20.0 and Origin 9.1.[Results] 1) The variation of dust concentration in each area of the mine generally presented a trend as follows:high value obtained in the morning, then it became lower at noon, and raised again in the afternoon, finally declined in the evening during the mine operation days. When it is not working day, the daily fluctuation range of dust concentration change was small, only a little bit high value observed in the morning and evening. By contrast, the daily variation of dust concentration outside the mine presented a relatively simple trend of high value in the morning, and then kept reducing in other times. 2) The daily variation of dust concentration was closely related to meteorological elements and working strength in the coal mine. The increasing of wind speed and decreasing of temperature and humidity significantly enhanced the dust concentration. Moreover, the influence degree for the wind speed appeared higher. The dust concentration in the air outside the mine was only related to meteorological indexes:concentration of PM was positively correlated with humidity and has the highest correlation coefficient, whereas no significant correlation was found between PM and other meteorological factors. 3) In spring, the PM in the atmosphere inside and outside the mine was mainly coarse particles (PM10.0 and TSP). Significant difference in coarse particles distribution for different areas outside the mine was found (P<0.01) although the corresponding difference between the areas in the mine was not obvious. 4) High correlation coefficient between different regions in dust concentration was found in the main working area of the mine. In addition, the correlation coefficient between road in the mine (RM) and coal storage yard (CS) in dust concentration was the largest compared with other areas. However, the correlation coefficients of dust concentration between the areas outside the mine increased with the increasing of particle diameter.[Conculsions] Above all, different influence on the air environment in the mining area was found for different working area. We should pay more attention on coarse particles (PM10.0 and TSP) that is from road, mining pit, coal storage yard and other main working areas to establish dust warning system and prevention and control technology system in the mining area. Meanwhile, the effects of wind speed and humidity on the dust concentration inside and outside the mine should also be considered.
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Received: 27 February 2019
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