|本期目录/Table of Contents|

[1]王孔森.基于高斯模型对氯气泄漏浓度分布的快速估算方法研究[J].中国安全生产科学技术,2012,8(9):33.
 WANG Kong sen.Study on the method of fast estimating the concentration’s distribution of chlorine leakagebased on the Gaussian model[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2012,8(9):33.
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基于高斯模型对氯气泄漏浓度分布的快速估算方法研究
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
8
期数:
2012年9期
页码:
33
栏目:
学术论著
出版日期:
2012-09-30

文章信息/Info

Title:
Study on the method of fast estimating the concentration’s distribution of chlorine leakage based on the Gaussian model
作者:
王孔森
(中国人民武装警察部队学院,廊坊 065000)
Author(s):
WANG Kongsen
(The Chinese People’s Armed Police Forces Academy, Langfang 065000, China)
关键词:
高斯模型氯气泄漏浓度分布特征量快速侦检
Keywords:
gaussian modelchlorine leakageconcentration distributioncharacteristic volumefast detection
分类号:
X928.03
DOI:
-
文献标志码:
A
摘要:
利用高斯模型对氯气泄漏浓度分布进行了较全面地探讨和研究,分析了高斯模型的实用性,探索了通过地面任意两点的浓度测量值快速计算泄漏源流强和泄漏点的高度以及地面浓度最大值及最大值位置的方法。提出了估算浓度等于和大于某一定值的区域的办法,并通过三个不同浓度的等值线的估算值和模拟值进行了比较,证明该方法的合理性。该方法完全可以推广到其它的模型和各种不同的条件,对于提高事故处置的侦检效率具有积极的意义。
Abstract:
Using the Gaussian model, we gave a much more comprehensive analysis and research on the distribution of the concentration of chlorine gas leaked in some leakage incident, and analyzed the practicality of the Gaussian model. We especially focused on the rapid calculation method of such quantities as source intensity and the height of leakage point, the concentration maximum on the ground and its responding location. At last, we get an easy and practical method to estimate the concentrations of a zone where the concentrations are equal to and greater than a certain value with the concentrations of any two points. The results of comparison between the estimation and the simulation results show the reasonability of the method. The estimation method provided in this article can be extended to other models and a variety of other different conditions. It is of great importance for responders to use it and to improve the detection efficiency during the disposal of the similar accidents.

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备注/Memo

备注/Memo:
国家十二五科技支撑计划课题(编号: 2011BAK03B07)
更新日期/Last Update: 2012-10-16