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Analysis on the spatio-temporal changes of PM10 concentration over Ningxia using satellite remote sensing.

MAO Hui-qin, CHEN Hui*, LI Qing, ZHANG Yu-huan, WANG Zhong-ting   

  1. (Satellite Environment Center, the Ministry of Environmental Protection of China, Beijing 100094, China).
  • Online:2018-08-10 Published:2018-08-10

Abstract: To clarify the changes of atmospheric environment in Ningxia since 2013, PM10 concentration over Ningxia from 2013 to 2016 was retrieved using a geographically weighted regression procedure based on satellite remote sensing, meteorological data and ground-based PM10observation data. Results showed an obvious spatial variation of PM10 concentration in Ningxia, with much higher in the middle semiarid regions and along Yellow River areas and much lower in the southern and northwest mountain regions. The yearly averaged PM10 concentration from 2013 to 2016 over whole Ningxia ranged from 76 to 127 μg·m-3, with a mean value of 100 μg·m-3. There were seasonal differences of PM10 concentration, with high values in winter (129 μg·m-3) and spring (116 μg·m-3) and low values in autumn (92 μg·m-3) and summer (68 μg·m-3). The interannual variation of PM10 concentrations over Ningxia showed a decrease trend from 2013 to 2016, with a decrease rate of 15.8 μg·m-3 per year. However, the differences of PM10 concentration among different regions of Ningxia had decreased as indicated by the decreases of spatial standard deviation from 14.8 μg·m-3 in 2013 to 6.5 μg·m-3 in 2016, with a decrease rate of 2.8 μg·m-3 per year.

Key words: mingling state, spatial structure, bivariate distribution., primary mixed broadleaved Korean pine (Pinus koraiensis) forest