Submicron Aerosol Composition and Sources in New Delhi from One-Month ACSM Measurements

Upasana Panda's dataset contains one month of high-resolution aerosol chemical speciation measurements from New Delhi, India. The data was collected using an Aerosol Chemical Speciation Monitor (ACSM) and analyzed via Positive Matrix Factorization for source identification. The study focuses on the evolution, composition, and chemical processes of submicron aerosols, with a specific finding on the role of chloride in atmospheric organic aerosol transformation.

Use Cases

• Source apportionment of urban air pollution based on Positive Matrix Factorization analysis.
• Studying the atmospheric oxidation processes of organic aerosols based on chemical speciation data.
• Analyzing the temporal evolution of aerosol composition in a megacity environment.
• Investigating the role of chloride in aerosol transformation pathways as highlighted in the description.

Strengths

• Data is described as 'high-quality' from a dedicated field measurement campaign.
• Analysis uses advanced receptor modeling (ME-2 solver via SoFi interface) for detailed source identification.
• Dataset size is 171.3 MB, indicating a medium-scale, detailed collection of measurements.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for certain analyses.
• The one-month measurement period may not capture full seasonal variability.

Provenance

Source

figshare, author Upasana Panda.

Collection Method

Field measurements using an Aerosol Chemical Speciation Monitor (ACSM).

Time Range

One month (specific dates not provided).

Freshness

Last updated 2026-04-26 09:32:47; freshness should be verified.

Geography

New Delhi, India.