• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Water Science and Technology >Emergency measure of soft isolation controlling pollution diffusion response to sudden water pollution accidents
【24h】

Emergency measure of soft isolation controlling pollution diffusion response to sudden water pollution accidents

机译：软隔离控制污染扩散响应突发水污染事故的紧急措施

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The frequent occurrence of sudden water pollution accidents has become a major threat to water environment safety. Although most researches have focused on constructing a pollutant source identification model and risk assessment methods for dealing with sudden water pollution accidents, a real-time, effective emergency measure for controlling pollutant diffusion, isolating and removing the pollutant, aiming at sudden water pollution accidents, has not been emphasized. Therefore, in this paper, a novel emergency approach of soft isolation was investigated to control pollution diffusion and decrease damage as soon as the accident occurred. In stage 1, the feature of pollution diffusion regarding a sudden water accident was predicted through a water quality model using computational fluid dynamics (CFD). Then, a design scheme of soft isolation was constructed in stage 2 to isolate the polluted zone and attention was paid to optimizing the parameters of soft isolation. Ultimately, the mathematical model of complete purification was formulated in stage 3 to remove the pollution from the impacted zone. The results indicated that the emergency measure of soft isolation could have significant potential to control and isolate pollution occurring in a sudden water pollution accident in the future.
机译：频繁发生突然的水污染事故已成为水环境安全的主要威胁。虽然大多数研究都集中在构建污染物源识别模型和风险评估方法，用于处理突然的水污染事故，实时，有效的应急措施，用于控制污染物扩散，隔离和去除污染物，旨在突然的水污染事故，没有强调。因此，在本文中，研究了软隔离的新型急诊方法，以控制污染扩散，并在事故发生后立即降低损坏。在第1阶段，通过使用计算流体动力学（CFD）通过水质模型预测有关突然发生水事故的污染扩散的特征。然后，在第2阶段构建了软隔离的设计方案，以隔离污染的区域，并且需要注意的是优化软隔离的参数。最终，在第3阶段配制完全纯化的数学模型，以除去受影响区域的污染。结果表明，软隔离的应急措施可具有巨大的控制和分离在未来水污染事故中发生的污染。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号