Background & Requirements

China’s regional air pollution control is still in a stage of heavy pollution load and long-term governance. The concentrations of secondary pollutants represented by ozone (O₃) have generally exceeded both national ambient air quality standards and the World Health Organization (WHO) air quality guidelines. The 14th Five-Year Plan proposed the coordinated control of fine particulate matter (PM₂.₅) and ozone (O₃): cutting PM₂.₅ concentrations in prefecture-level and above cities by 10%, effectively curbing the rising trend of O₃ concentrations, and basically eliminating heavy pollution weather.

The prevention and control of ozone-dominated oxidative air pollution in China is still in the initial stage. Unlike haze pollution, ozone pollution features complicated formation mechanisms and poses greater governance challenges. Current ozone monitoring in China mainly relies on single ground-based observation stations, which only reflect limited point data and cannot capture refined vertical spatiotemporal evolution characteristics of ozone aloft. Such monitoring methods fail to support effective observation for analyzing air pollution processes and conducting pollution source tracing.

Collaborative Monitoring Network for Atmospheric Particulate Matter and Ozone

Solution Overview

Ozone lidar can monitor the spatiotemporal variations of ozone pollutants in the atmospheric boundary layer, observe and study the characteristics of atmospheric pollutants such as their temporal and spatial changes, formation and dissipation, sedimentation and transport, and clarify the characteristics of atmospheric pollution. Detecting vertical tropospheric ozone profiles based on ozone’s spectral differences at various wavelengths, ozone lidar features high precision, high spatiotemporal resolution and real-time online monitoring. When combined with aerosol lidar for monitoring the vertical profile distribution of atmospheric aerosols, it enables coordinated observation of ozone and particulate matter (PM₂.₅).
Centered on the objectives of atmospheric pollution prevention and control, and taking the monitoring, analysis, diagnosis and decision-making of atmospheric environmental information as the main line, the system solution integrates technologies including lidar, GIS, the Internet of Things and mobile Internet to construct an atmospheric remote sensing source tracing system based on lidar.

Ozone Lidar

Data from national monitoring stations and ozone lidar show good consistency, with a correlation coefficient above 0.9.

Ozone Lidar

Particulate Matter Lidar

On January 18, 2018, the AQI index exceeded 200, indicating severe air pollution. The lidar image reveals accumulated aerosols near the ground layer.

Particulate Matter Lidar
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