Abstract
The application of big data in the field of ecological governance has promoted the development and growth of intelligent ecological governance. Scientific discoveries enhance human ability to understand nature, and technological inventions enhance human ability to transform nature, which provide solid theoretical support for big data empowering ecological governance. In practice, big data technology can help to control existing pollution and prevent pollution from occurring. Big data also plays an important role in ecological restoration. Its prominent impact on soil restoration and biodiversity conservation fully demonstrates the enormous potential of big data in serving ecological governance. In addition, big data technology can help realize the economical use of resources and promote sustainable development. With the continuous improvement of the application of big data technology, the governance ability of ecological governance body has been greatly enhanced, which significantly improves the efficiency of ecological governance. Big data has enhanced the coordination and interaction among various bodies and improved the level of ecological governance on the whole. The integration of big data with other high and new technologies has promoted the expansion of the application scope of big data. All these demonstrate the important role of big data in promoting the modernization of ecological governance. A series of practical cases collected and listed in this paper provide strong proof for the use of big data in serving ecological governance. In conclusion, in the information age, people should vigorously promote the application of big data in the field of ecological governance, empower ecological governance with big data, and enable information technology to serve ecological civilization construction.
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Liu, X., Li, Y. (2023). Research on Big Data Empowering Ecological Governance. In: Zhang, S., Hu, B., Zhang, LJ. (eds) Big Data – BigData 2023. BigData 2023. Lecture Notes in Computer Science, vol 14203. Springer, Cham. https://doi.org/10.1007/978-3-031-44725-9_13
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DOI: https://doi.org/10.1007/978-3-031-44725-9_13
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