Large Data Technology-Based Analysis Method of Sudden Eco-Environmental Toxic Pollution
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...
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Journal of Chemistry |
| Online Access: | http://dx.doi.org/10.1155/2020/8453405 |
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| _version_ | 1850172348613787648 |
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| author | Guilan He Junping Yao |
| author_facet | Guilan He Junping Yao |
| author_sort | Guilan He |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-cfca5b474d4b45bb92f4aa018f5abc28 |
| institution | OA Journals |
| issn | 2090-9063 2090-9071 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Chemistry |
| spelling | doaj-art-cfca5b474d4b45bb92f4aa018f5abc282025-08-20T02:20:06ZengWileyJournal of Chemistry2090-90632090-90712020-01-01202010.1155/2020/84534058453405Large Data Technology-Based Analysis Method of Sudden Eco-Environmental Toxic PollutionGuilan He0Junping Yao1School of Artificial Intelligence and Big Data, Chongqing College of Electronic Engineering, Chongqing, ChinaSchool of Electronic and Information Engineering, Chongqing Radio & TV University, Chongqing, ChinaSudden 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.http://dx.doi.org/10.1155/2020/8453405 |
| spellingShingle | Guilan He Junping Yao Large Data Technology-Based Analysis Method of Sudden Eco-Environmental Toxic Pollution Journal of Chemistry |
| title | Large Data Technology-Based Analysis Method of Sudden Eco-Environmental Toxic Pollution |
| title_full | Large Data Technology-Based Analysis Method of Sudden Eco-Environmental Toxic Pollution |
| title_fullStr | Large Data Technology-Based Analysis Method of Sudden Eco-Environmental Toxic Pollution |
| title_full_unstemmed | Large Data Technology-Based Analysis Method of Sudden Eco-Environmental Toxic Pollution |
| title_short | Large Data Technology-Based Analysis Method of Sudden Eco-Environmental Toxic Pollution |
| title_sort | large data technology based analysis method of sudden eco environmental toxic pollution |
| url | http://dx.doi.org/10.1155/2020/8453405 |
| work_keys_str_mv | AT guilanhe largedatatechnologybasedanalysismethodofsuddenecoenvironmentaltoxicpollution AT junpingyao largedatatechnologybasedanalysismethodofsuddenecoenvironmentaltoxicpollution |