An integrated emergency response model for toxic gas release accidents based on cellular automata

Abstract

An integrated emergency response model based on cellular automata (CA) is proposed for the toxic gas release accidents that happen in the energy and chemical industry. This integrated emergency response model consists of three sub-models: a toxic gas dispersion model, a dynamic evaluation model for accident consequences, and an evacuation route selection model. When a toxic gas release accident happens, the dispersion model predicts the distribution of toxic gas concentration, the evaluation model estimates the consequences in terms of probability of death, expected fatalities and impact scope caused by the accident, and the route selection model provides the safest evacuation route for evacuees. The three sub-models run simultaneously and present real-time results. The proposed model is applied to an ammonia gas release accident in an energy and chemical enterprise, and the corresponding model results are discussed. The efficiency of emergency response for toxic gas release accidents can be further improved through the proposed integrated emergency response model based on CA.

Determination of explosion, fire and toxic emission physical effect areas

“…(2016) tarafından enerji ve kimya sanayinde meydana gelen toksik gaz yayılım kazaları için bir entegre acil müdahale modeli geliştirilmiştir. Amonyak gazı için uygulama gerçekleştirilmiş, etki mesafesi içinde gaz konsantrasyonu dağılımı, beklenen ölüm ve hasar tahmini ile tahliye için rota bilgileri elde edilmiştir [4]. Shariff Toksik gazlar Sonlanma noktasının belirlenmesi:…”

A Systematic Literature Review on Safety Research Related to Chemical Industrial Parks

“…(1) toxic gas dispersion sub-model (2) dynamic consequences evaluation sub-model 3 Some dynamic risk-informed algorithms for decision-making were developed to explore the impact of accident evolution on the emergency process, especially when the conventional model is not sufficient to simulate multi-source accidental scenarios [127,129]. Cao et al [129] emphasized that evacuation route planning can be further developed by introducing other uncertainty factors, such as the level of congestion and the behavior of evacuees. To this regard, Lovreglio et al [128] analyzed the temporal causality between gas dispersion and people evacuation.…”

Development Analysis of Chinese and American Technology Innovation Board Based on Time Series Model

“…The establishment of a science and technology innovation board is undoubtedly an opportunity for investors. However, because of the valuation problem of science and technology innovation board enterprises, there is a hidden crisis [5]. Gem listed enterprises are not required to have earnings performance, cannot use the p/e method valuation; Companies listed on NASDAQ, a similar American market, can be valued by a price-to-sales ratio.…”