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Large Data Technology-Based Analysis Method of Sudden Eco-Environmental Toxic Pollution
Summary
This paper proposes a big data approach to analyzing sudden environmental toxic pollution incidents by combining genomic and proteomic data across environmental samples. The method aims to improve accuracy over manual inspection techniques for detecting ecological contamination events.
Sudden environmental toxic pollution accidents occur from time to time at home and abroad, seriously affecting the safety of the ecological environment. Different environmental factors affect the use of manual inspection and analysis methods, causing inaccurate results of inspection and analysis. In view of this problem, a large data technology-based analysis of sudden ecological environmental toxic pollution is proposed. Method . The genome and proteome in different environments were analyzed, and the target organisms were strictly defined to determine the effect of the molecular toxicity of pollution factors on the ecological environment. According to the molecular toxicity, the sudden eco-environmental toxicity pollution was analyzed using large data technology. Under the action of different particle sizes, dosages, and adsorption times of activated carbon, the experiments confirmed that the results of large data technology analysis are more accurate, which have provided necessary means for the protection of the ecological environment.
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