With the continuous development of computer technology, the application of computer technology, especially big data analysis technology, will be able to process a large amount of environmental monitoring information system data. Because the data sources of environmental monitoring information system data are complex and the amount of data is huge, this is also able to Mining the innate advantages in processing such characteristics of environmental monitoring information data. The purpose of this paper is to study the application of environmental biotechnology in environmental pollution control based on data mining algorithm. Using data mining technology, based on the evaluation of dioxin activity, the M lake was sampled, the dioxin activity of organic extracts in water and biological samples was detected, the main active components were identified, and the dioxin causing toxicity was identified. The experimental results show that all organic extracts of biological samples can cause aromatic hydrocarbon receptor activity, and dioxin-like substances accumulate seriously in shellfish. Provide certain theoretical basis and technical support for the further management and governance of M Lake.

Romany Vijun. Environmental Biotechnology in Environmental Pollution Control Based on Data Mining Algorithm. Academic Journal of Environmental Biology (2022), Vol. 3, Issue 3: 27-34. https://doi.org/10.38007/AJEB.2022.030304.

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