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| Changes in the PM10 concentrations of air near the ground of farmlands in spring |
| Received:March 26, 2020 |
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| KeyWord:PM10;air pollution;farmland;agricultural dust;wind erosion;Sishui County Shandong Province |
| Author Name | Affiliation | E-mail | | WU Ya-tang | College of Forestry, Gansu Agricultural University, Lanzhou 730070, China
Chinese Research Academy of Environmental Sciences, Beijing 100021, China | | | WU Jian-guo | Chinese Research Academy of Environmental Sciences, Beijing 100021, China | wujg@craes.org.cn | | WANG Li | College of Forestry, Gansu Agricultural University, Lanzhou 730070, China | |
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| Abstract: |
| In order to improve our understanding of changes in the PM10 concentrations of air near the ground of Chinese farmlands during spring(March 1 to May 31, 2019), the PM10 concentrations and environmental factors of the air 80 cm above the ground surface of cultivated farmlands was observed in Sishui County, Shandong Province, China. Particulate(PM10)samplers, automatic weather stations, and soil temperature and humidity data were employed, and the relationships between changes in the PM10 concentrations and environmental factors were analyzed via linear regression and Pearson's correlation coefficient, curve regression, multiple linear regression, and stepwise regression. The results showed that from March to May, the average PM10 concentration was 117.06 μg·m-3, with a range of 16.67~333.33 μg·m-3. Additionally, changes in PM10 concentrations were significantly and negatively correlated and exhibited an exponential relationship with wind speed(y=151.66e-0.19x, R2=0.162, P<0.001), and had a significant quadratic relationship with relative humidity(y=-0.48x2 + 6.14x-62.47, R2=0.103, P<0.05). Moreover, changes in PM10 concentrations displayed a significant(S-shaped) curvilinear relationship with air temperature(y=e5.00-5.28/x, R2=0.089, P<0.01). In the multiple regression and stepwise analyses of the changes in PM10 concentrations with wind speed, air temperature, relative humidity, 5-cm soil temperature, and humidity factors, the effect of wind speed was significant(y=-16.824x1 + 150.420(x1 represents wind speed), R2=0.126, F=9.658, P<0.01). These results suggest that in spring, due to the effects of various environmental factors(e.g., wind speed, humidity, etc.), the PM10 pollution of the nearsurface air of farmlands in Sishui County cannot be ignored. |
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