RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN >> 2015, Vol. 24 >> Issue (09): 1451-1457.doi: 10.11870/cjlyzyyhj201509002

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Estimating visibility of nanjing using modis aod data

LIU Zhen-bo1,2, ZHANG Ming-ming3, GE Yun-jian1,2, QIU Bin4   

  1. 1. Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science & Technology, Nanjing 210044, China;
    2. School of Geography and Remote Sensing, Nanjing University of Information Science & Technology, Nanjing 210044, China;
    3. Chizhou Meteorological Bureau of Anhui, Chizhou 247100, China;
    4. Pukou Meteorological Bureau of Nanjing, Nanjing 211800, China
  • Received:2014-11-29 Revised:2015-03-23 Online:2015-09-20

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Abstract: Visibility is one of basic parameters in meteorological observation, which can be used to represent the degree of atmospheric quality. Accurate measurement of atmospheric visibility is important for both human health and transportation. Visibility measurement through ground-based instrumentation on regional scale is lacking. In this paper, seasonal models are fitted using visibility measurement data from meteorological observation station located in Nanjing university of Information Science & Technology and aerosol scale height data from MODIS aerosol optical depth production. Using the seasonal models, visibility distribution of Nanjing in 2013 was mapped and the temporal and spatial distribution of regional visibility over the Nanjing area was analyzed. The results showed that the aerosol scale height in summer had the highest value of 1.328 km and the value in winter had the lowest value of 0.587 6 km in the Nanjing City. According to the validation of estimated visibility values using meteorological station measurement data, the average absolute error and average relative error of estimated visibility values were 1.72 km and 30.71%, respectively. The seasonal average estimated visibility values present better consistency with measurement data with the seasonal average absolute error and relative error of 1.29 km and 14%, respectively. Spatial scale difference between the observational station data and remote sensing data was the main cause of estimation error. Furthermore, the high wind speed will increase the model estimation error through the analysis of synchronous observation wind data. The annual average visibility of 2013 over the Nanjing area is 6.07 km presenting an increasing trend from the city center to the suburbs. In the study area, the visibility values in different seasons were obviously different. Visibility value of summer was 9.93 km and it was higher than the other three seasons with visibility value. According to the natural and economic conditions in study area, the spatio-temporal distribution of visibility is mainly affected by weather and the arrangement of regional economic developments. Besides, the effect of human activities was also an important factor in affecting visibility value. A large number of construction projects in the city central areas in 2013 contributed to produce local dust weather which can result in high value of visibility.

Key words: visibility, aerosol optical depth, satellite remote sensing, MODIS

CLC Number: 

  • TP79
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