Chiayi County Deploys 300 Micro Sensors to Monitor Air Pollution in Real-Time

Chiayi County is taking a high-tech approach to tackle air pollution, deploying 300 micro air quality sensors throughout its 18 townships. These sensors provide continuous, real-time data, allowing the Environmental Protection Bureau to pinpoint illegal factory emissions with unprecedented speed and accuracy.

Previously, investigating pollution sources was like a "cat and mouse game," with contaminants often dissipating by the time inspectors arrived. Now, the sensors update data every minute. When abnormal fluctuations occur, the system issues immediate warnings, guiding inspectors directly to the source using "data footprints." This has significantly reduced the time needed to find polluters.

The system has evolved beyond simple industrial monitoring. It now functions as a "net of heaven and earth" using big data analysis. This proactive approach allows the bureau to precisely locate sources of pollution, such as illegal burning or factory violations. The data is also integrated with the fire department's 119 dispatch system. In case of a factory fire, the system can instantly calculate smoke diffusion and impact areas, enabling timely alerts to nearby residents via the "Chiayi Carbon Reduction" Facebook page, advising them to close windows and wear masks.

Residents can access real-time air quality information through the Environmental Protection Administration's air quality network. The bureau has successfully investigated 51 illegal emission cases since 2021, collecting over NT$10 million in fines, demonstrating the effectiveness of this advanced monitoring network.

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Previously, investigating industrial zone illegal emissions was like 'catching mice,' and by the time inspectors arrived, the pollution had often dissipated. With the deployment of 300 sensors, real-time data is updated every minute. Once abnormal fluctuations occur, the system immediately issues a warning message, allowing inspectors to precisely locate the source using 'data footprints,' greatly shortening the time to find the pollution source.