Pollution trend prediction
Environmental monitoring technology can use artificial intelligence algorithms, such as machine learning and deep learning, to intelligently analyze and predict environmental monitoring data. Through algorithm models, pollution sources can be identified, pollution trends can be predicted, and a scientific basis can be provided for pollution control.

Risk assessment and early warning
Environmental monitoring technology can also be used to assess pollution risks and issue early warnings. Using intelligent data analysis technology, timely response measures can be taken to effectively prevent and control pollution.

Multi-dimensional fusion monitoring
Environmental monitoring technology can simultaneously monitor multiple pollutant parameters and establish a comprehensive environmental quality evaluation system. Combining remote sensing technology and ground monitoring data, comprehensive monitoring of the temporal and spatial distribution of pollutants can be achieved.

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Environmental Monitoring Types and Systems - Renke
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Environmental Monitoring Types and Systems - Renke

Environmental monitoring uses sensors and IoT to collect various indicators that affect environmental. Includes air, water, soil, noise and biodiversity.