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.

中文翻译：

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基于大数据技术的突发性生态环境毒物污染分析方法

国内外突发环境毒物污染事故时有发生，严重影响生态环境安全。不同的环境因素影响人工检查分析方法的使用，造成检查分析结果不准确。针对这一问题，提出了基于大数据技术的突发性生态环境毒性污染分析。方法。对不同环境下的基因组和蛋白质组进行分析，严格界定目标生物，确定污染因子分子毒性对生态环境的影响。根据分子毒性，利用大数据技术分析突发性生态环境毒性污染。在不同粒径、剂量的作用下，