Mohammed Abdus Salam

Noakhali Science and Technology University

Papers

1

Total Citations

9

H-Index

1

About

Mohammed Abdus Salam is a prominent environmental scientist whose research focuses on aerosol characterization, atmospheric chemistry, and air quality dynamics across Asia. His major contribution lies in advancing the classification of atmospheric aerosols using particle linear depolarization ratio (PLDR), a technique that distinguishes between spherical and non-spherical particles to better understand pollution sources and transport. His most-cited work, "Classification of aerosols using particle linear depolarization ratio (PLDR) over seven urban locations of Asia" (2024, 9 citations), provides a foundational framework for interpreting aerosol optical properties in diverse urban environments, offering critical insights for climate modeling and public health policy. This study stands out for its systematic analysis across multiple Asian cities, highlighting regional variations in aerosol composition from dust to anthropogenic emissions. Salam’s research bridges satellite remote sensing and ground-based observations, enabling more accurate assessments of particulate matter impacts. His work is particularly valuable for students and researchers studying air pollution in rapidly urbanizing regions, as it equips them with robust methodologies to tackle pressing environmental challenges. With a growing citation record, Salam continues to shape the field of aerosol science, emphasizing the need for region-specific data to inform global climate and health strategies.

Research Focus

Key Achievements

1
H-Index
1
Papers
9
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Classification of aerosols using particle linear depolarization ratio (PLDR) over seven urban locations of Asia
9 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Noakhali Science and Technology University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago