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

المؤلفون المشاركون

Yao, Junping
He, Guilan

المصدر

Journal of Chemistry

العدد

المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-8، 8ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2020-06-02

دولة النشر

مصر

عدد الصفحات

8

التخصصات الرئيسية

الكيمياء

الملخص EN

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.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

He, Guilan& Yao, Junping. 2020. Large Data Technology-Based Analysis Method of Sudden Eco-Environmental Toxic Pollution. Journal of Chemistry،Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1182328

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

He, Guilan& Yao, Junping. Large Data Technology-Based Analysis Method of Sudden Eco-Environmental Toxic Pollution. Journal of Chemistry No. 2020 (2020), pp.1-8.
https://search.emarefa.net/detail/BIM-1182328

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

He, Guilan& Yao, Junping. Large Data Technology-Based Analysis Method of Sudden Eco-Environmental Toxic Pollution. Journal of Chemistry. 2020. Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1182328

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1182328