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Large Data Technology-Based Analysis Method of Sudden Eco-Environmental Toxic Pollution

机译:基于大数据技术的生态环境毒性污染分析方法

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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.
机译:突然的环境毒性污染事故发生在国内外时期,严重影响生态环境的安全性。不同的环境因素影响手动检测和分析方法的使用,导致检查和分析的不准确结果。鉴于此问题,提出了对突然生态环境毒害污染的基于大数据技术分析。方法。分析了不同环境中的基因组和蛋白质组,严格定义了靶生物,以确定污染因素对生态环境的分子毒性的影响。根据分子毒性,使用大数据技术分析突发的生态环境毒性污染。在不同粒径,剂量和活性炭的吸附时间的作用下,实验证实,大数据技术分析的结果更准确,为保护生态环境提供了必要的手段。

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