基于ALOHA模型的液氨储罐泄漏污染的定量预测分析研究

危险化学品泄漏时将会产生中毒、火灾和爆炸等事故。ALOHA模型能够根据危险化学品的泄漏和气象条件对事故进行模拟,描述不同程度危害范围的大小和区域。本文以池州市东至天孚化工有限公司的液氨储罐为背景,利用ALOHA模型对液氨泄露事故别进行了计算模拟。通过选择对应的关注水平,得到相应的受威胁区域范围进行分析;。

ALOHA模型参数敏感性分析在化工环评中的应用

以毒性终点浓度涉及最远距离为研究对象,研究了ALOHA模型中风速、云量、温度、湿度4个气象参数的敏感性分析的原理和方法及其在化工项目环境风险评价中的应用,确定了毒性终点浓度涉及最远距离相对峰值所对应的参数条件,筛选出实例中风速、云量、温度、湿度的最不利气象条件组合,以期为ALOHA模型应用于化工项目选址、环境风险评价等技术评估提供参考依据。

ALOHA软件在氯乙烯事故环境风险评价中的应用

以某企业氯乙烯储罐泄漏、火灾为事故场景,应用ALOHA软件对储罐泄漏及其火灾产生次生污染物的环境风险进行模拟分析。在模拟过程中以AEGL的1h浓度作为评价标准,选用最不利的气象扩散条件,采用重气扩散模型作为污染物的预测扩散模型,由此分别预测得到在昼、夜最不利气象条件下泄漏、火灾事故的最大危险区域。本文为ALOHA软件在环境风险评价中的应用提供参考。

Non-saturation Throughput of S-ALOHA Using the Time-Scale Decomposition Technique

S-ALOHA （Slotted ALOHA） random access protocol is a widely used protocol mainly for the transmission of short packets in wireless networks. Most papers consider either an infinite population model where the impact of the backoff protocol cannot be adequately evaluated or a finite population model where the number of nodes is fixed. In this letter, a combination of both models is proposed using the time-scale decomposition technique. This methodology allows to study the system under more realistic conditions where the dynamics of users enter and leaving the system are reflected on the performance of the system as well as the impact of the backoff protocol. Also, it allows studying the system in non-saturation conditions. The proposed methodology divides the analysis in two parts： packet-level and connection-level. This analysis renders suitable results when the time scale of the packet level and connection level statistics is different. On the other hand, when these scales are similar, the proposed methodology is no longer suited.

PTA装置中对二甲苯泄漏爆炸对环境影响探讨

通过对PTA装置中危险化学品——对二甲苯运用ALOHA模型,对对二甲苯进行泄漏事故模拟计算。提出了防护距离的确定方法,及装置生产异常时可行的防护措施,有效降低风险。