SPARTAN Network Aerosol Sensors

June 12, 2025

The SPARTAN (Surface Particulate Matter Network) station at ENGEOS Lab is part of a global network designed to measure fine particulate matter (PM₂.₅) for improving satellite-based air quality estimates and enhancing our understanding of atmospheric aerosols . (SPARTAN Network Website). This initiative addresses critical gaps in global PM₂.₅ coverage, providing publicly available data on:

  • PM₂.₅ and PM₁₀ mass concentrations
  • Chemical composition
  • Optical scattering properties

These observations are vital for satellite product validation, climate and health impact assessments, and for air quality management strategies.

Filter Sampling Sensor

A second-generation automated air sampler that employs a high-precision dynamic cyclone inlet to collect:

  • PM₂.₅ on six filters
  • PM₁₀ on one filter

Each cartridge collects data over a 9-day interval per filter, providing a total sampling duration of 54 days before replacement is required. The system operates autonomously and is designed for remote deployments with minimal maintenance.

 

Integrating Nephelometer

A 3-wavelength optical nephelometer that measures:

  • Aerosol light scattering
  • Relative humidity (RH%)
  • Ambient temperature

Measurements are recorded every 15 seconds, and a built-in clean-air reference system performs regular baseline corrections in the field. The nephelometer also uses a cyclone inlet for dynamic size separation, allowing independent analysis of PM₂.₅ and PM₁₀ optical properties.

Applications and Impact

  • Validation of satellite-based PM₂.₅ retrievals
  • Support for epidemiological studies and health exposure models
  • Air quality monitoring and management in arid environments
  • Research on aerosol–radiation interactions in desert and urban regions

The SPARTAN station at ENGEOS Lab plays a pivotal role in bridging satellite observations with ground-based aerosol measurements in the Middle East, contributing to global datasets used by researchers, policy-makers, and climate modelers worldwide.