中国安全科学学报 ›› 2019, Vol. 29 ›› Issue (1): 150-154.doi: 10.16265/j.cnki.issn1003-3033.2019.01.025

• 安全社会工程 • 上一篇    下一篇

美国化学品危险性预测技术的发展及启示

张金梅1,2 高级工程师, 高月1,2 工程师, 郑雅梅1,2 工程师   

  1. 1 应急管理部 化学品登记中心,山东 青岛 266071;
    2 中国石油化工股份有限公司 青岛安全工程研究院 化学品安全控制国家重点实验室,山东 青岛 266071
  • 收稿日期:2018-09-17 修回日期:2018-11-06 出版日期:2019-01-28 发布日期:2020-11-23
  • 作者简介:张金梅 (1980—),女,山东青岛人,硕士,高级工程师,国家注册安全工程师,主要从事化学品危险性鉴别与分类、化学品危险性检测试验标准、化学品混储危险性、危险化学品安全管理技术及活性化学品安全管理等研究。E-mail:zhangjm.qday@qq.com。

Development of chemicals hazardousness prediction technology in United States and its enlightenment

ZHANG Jinmei1,2, GAO Yue1,2, ZHENG Yamei1,2   

  1. 1 National Registration Center for Chemicals, Ministry of Emergency Management, Qingdao Shandong 266071, China;
    2 State Key Laboratory of Safety and Control for Chemicals, Qingdao Safety Engineering Institute, SINOPEC, Qingdao Shandong 266071, China
  • Received:2018-09-17 Revised:2018-11-06 Online:2019-01-28 Published:2020-11-23

摘要: 为促进快速识别并预测化学品危险性,针对化学品政策影响、预测模型和工具开发等方面,研究美国化学品危险性预测技术的发展,分析我国化学品危险性预测技术的现状,探讨我国在该方面的差距及改进措施。结果表明:化学品危险性数据库是危险性预测技术的基础,针对不同化学品危险性类别和待评估物种种类开发预测模型有利于提高预测数据准确度;结合我国化学品安全监管需求,完善相关法规标准,并建立便于公众获取数据和预测工具的平台,是促进我国化学品危险性预测技术发展的重要途径。

关键词: 化学品, 生态毒理, 人类健康影响, 理化特性, 预测技术

Abstract: In order to promote prediction of the hazardousness of a given chemical rapidly, the development of chemicals hazardousness prediction technology in the United States was studied in terms of chemical policy impact, prediction models and tools, and the gap in chemicals hazardousness prediction technology in China was discussed too. The results show that chemicals hazardousness data bases are the foundation of prediction technology, that building prediction models according to chemical hazard categories and characteristics of biological species to be evaluated, improving relevant regulations and standards of chemical prediction technology in combination with national chemical safety supervision requirements, and creating ways and means of facilitating public access to the data and prediction tools are important methods for promoting the development of chemicals hazardousness prediction technology in China.

Key words: chemicals, ecotoxicology, human health impacts, physicochemical properties, prediction technology

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