Identification of areas susceptible to high dust concentrations and their relationship with synoptic factors in Jazmourian basin

Document Type : Research Paper

Authors

1 semnan university

2 / موسسه تحقیقات چنگلها/عضو هیات علمی

3 Desert Research Institute, a member of the faculty of the Department of Forests and Rangelands Research Agency, Agricultural Extension and Education, Tehran, Iran

Abstract

The main aim of this study is identification of areas susceptible to high dust concentrations, investigating a number of factors affecting its formation (including wetland drying and soil moisture) and their coherence with synoptic factors (including climate maps and regional wind). The spatial distribution pattern of dust is an important variable in understanding dust transport and implementing appropriate control strategies. The present study investigates the spatial distribution of dust in the Jazmourian Basin using a simulation with the NMMB / BSC-Dust model over a three-year period (from 2014 to 2016). For this purpose, several dust events in the Jazmurian basin were selected based on the visibility and dust codes, and the dust transfer route was monitored for up to 72 hours for this date. Finally, by overlaying the model images in these selective intervals, by using the fuzzy method in ArcGIS environment, the map of areas disposed to high dust concentration in the basin were prepared. For each selected date, the SMAP satellite image was used to measure soil moisture. And zonal winds were investigated using the NCEP/NCAR model. The results of this study showed that the central part of the Jazmurian basin, which is the location of the Jazmurian wetland, had the highest dust concentration during the study period. In addition, a synoptic study of dust sustainable areas showed that in the dates of the dust occurrence, low-pressure and high wind speeds centers formed on the surface of the basin.

Keywords

References

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History

  • Receive Date: 01 February 2020
  • Revise Date: 04 October 2020
  • Accept Date: 20 October 2020

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