Determination of dust storms by Hoffman index in Tehran, Iran and compare with remote sensing, and responsible organizations from March 2014 through March 2015

  • Azam Zeydabadi Bam University of Medical Sciences, Bam, Iran
  • Kazem Naddafi Mail Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran AND Center for Air Pollution Research, Institute for Environmental Research, Tehran University of Medical Sciences, Tehran, Iran
  • Ramin Nabizadeh Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran AND Center for Air Pollution Research, Institute for Environmental Research, Tehran University of Medical Sciences, Tehran, Iran
  • Mohammad Sadegh Hassanvand Center for Air Pollution Research, Institute for Environmental Research, Tehran University of Medical Sciences, Tehran, Iran
  • Abdolali Golpayegani
Keywords:
Dust storm;, Hoffman index;, PM10 concentration

Abstract

Introduction: The occurrence of dust storms in recent years, has led to the use of data recorded in ground measurements stations to determine the sources and investigate the occurrence of these storms in the past; however, it is associated with the possibility of measurement errors or failures in some cases.

 

Materials and methods: In this study, using the data records by synoptically stations, dust storms that occurred in Tehran during March 21, 2014 to March 20, 2015 were determined.

To verify the detected cases of dust storms through the index, satellite imagery was collected and analyzed on the days. For remote sensing, Modis Level 1 images were processed using the ENVI 5.3. In order to show dust, NDDI, BTD (32-31), and BTD (20-31) indices were used.  Finally, the sensitivity and specificity of all two items were compared with the weather data announced on these days; using R software.

 

Results: Results indicate, compared to actual observations, that the sensitivity of this method was 100% and its specificity was 98%.

 

Conclusion: Because the index used in this study consisted of three parameters of wind speed, PM10 concentration, and horizontal visibility, it minimized the possibility of mistakes due to the simultaneous use of all three parameters to show dust storms.

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Published
2020-01-01
How to Cite
1.
Zeydabadi A, Naddafi K, Nabizadeh R, Hassanvand MS, Golpayegani A. Determination of dust storms by Hoffman index in Tehran, Iran and compare with remote sensing, and responsible organizations from March 2014 through March 2015. japh. 4(4):261-268.
Section
Original Research