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Estimation of PM 2.5 and Pm 10 During an Intense Dust Episode over Indian Region Using Satellite Data Set

EasyChair Preprint no. 11982

4 pagesDate: February 7, 2024

Abstract

Mineral dust is a major constituent of airborne particles in the atmosphere. It plays an important role in many environmental processes. Mainly impact of aerosols on climate related processes that involve radiation and clouds. Dust contributes about 80% to the total global aerosol loading. The Sahara Desert and desert over the Arabian region, Pakistan and Afghanistan border and Thar desert are main dust area across the globe. Wind-speed, rainfall, vegetation covered, surface type is the major factor responsible for mineral dust emission. The modelling of dust sources is perhaps the most difficult task facing climate modelers. PM 2.5 and PM 10 has been examined in association with aerosol optical depth using remotely sensed MODIS AOD data sets. PM 2.5 and PM 10 has been studied over Thar desert and Delhi form 05 June 2018 to 21 June 2018. The present analysis shows significant positive correlation between ground data and satellite PM 2.5 or PM 10 in Delhi or Rajasthan region expect PM 10 of Almar and Srinath Puram (Kota) station.

Keyphrases: aerosol, AOD, Dust, PM 10, PM 2.5

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:11982,
  author = {Akshita Tomar and Charu Singh},
  title = {Estimation of PM 2.5 and Pm 10 During an Intense Dust Episode over Indian Region Using Satellite Data Set},
  howpublished = {EasyChair Preprint no. 11982},

  year = {EasyChair, 2024}}
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