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— FLO2 · External Environment
Distributed ambient air quality monitoring networks for city-scale environmental planning and public health applications.
Urban air quality planning in India currently relies on a sparse network of reference-grade monitoring stations, typically one or two per city, producing data at a spatial resolution that cannot inform neighbourhood-level policy decisions. The result is that land use planning, industrial zoning, green buffer design and public health intervention are made against averaged city-wide data that masks significant local variation.
Distributed sensor networks change the resolution at which air quality is understood and acted on. FLO2 deploys multi-parameter ambient monitoring infrastructure at the density required to produce spatially meaningful environmental data for urban planners, municipal bodies and infrastructure developers.
Multi-parameter ambient monitoring nodes deployed across neighbourhoods, traffic corridors, industrial boundaries and green spaces. Parameters include PM1.0, PM2.5, PM10, CO, NO₂, SO₂, O₃, TVOC, temperature, humidity and barometric pressure.
Real-time and historical AQI data visualised at node level and interpolated across the monitored area. Identifies pollution hotspots, seasonal variation and the relationship between land use and air quality outcomes.
Time-series data correlated with wind direction, traffic patterns and industrial activity to support source identification, relevant to both regulatory enforcement and urban design.
Data exportable in formats compatible with GIS platforms, municipal dashboards and national reporting systems including CPCB's continuous ambient air quality monitoring framework.
Cloud-logged data with historical trend analysis. Designed for multi-year deployment as a permanent environmental monitoring asset, not a one-time survey exercise.
Spatial resolution
Configurable by node density, neighbourhood to city scale
Parameters monitored
Up to 13 per node including gases, particles and meteorological
Data availability
Real-time, cloud-accessible, GIS-exportable
| Metric | Observed Range |
|---|---|
| Spatial resolution | Configurable by node density, neighbourhood to city scale |
| Parameters monitored | Up to 13 per node including gases, particles and meteorological |
| Data availability | Real-time, cloud-accessible, GIS-exportable |
| Regulatory alignment | Structured for CPCB, NCAP and EIA reporting |
A scoping engagement identifies monitoring objectives, node placement, applicable regulatory frameworks and the data outputs required for planning and compliance purposes.
A structured site assessment identifies compliance gaps, energy losses and the remediation options available - before your next audit cycle.