Digital Collaborative Mechanism of Ecological Governance Based on Digital Twin

This paper proposes a collaborative mechanism of ecological governance based on digital twin; i.e., the intelligence and precision of environmental governance can be implemented by inducing key indicators from the environment in the physical world into the digital twin system of the digital twin mid-platform; by employing advanced sensors for real-time environmental data collection and leveraging GIS model-based integration of the digital twin platform, the real-time monitoring, in-depth analysis, and predictive forecasting of current environmental status can be performed, thereby enabling timely unified decision-making and management responses to emerging situations. The test results have demonstrated that this methodology can significantly enhance both the accuracy and timeliness of environmental monitoring works.