Managing Emergency Response of Air Pollution by the Expert System

Chen, Wang-Kun

doi:10.5772/50080

Cited by 3 publications

(3 citation statements)

References 1 publication

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“…In the last decade, a stable trend of climate change has been observed all over the world, an increase in the level of seismic activity of the earth's crust, an increase in the size and power of technical systems, and a progressive human intervention in nature [1]. All this significantly increases the risks of man-made accidents and natural disasters, which leads to an increase in the number and scale of emergency situations of various natures.…”

Section: Introductionmentioning

confidence: 99%

Development of organizational and technical methods for predicting emergency situations and possible losses as their results

et al. 2021

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Emergency prevention is based on analysis, forecasting and early response to emergencies. A systematic approach to solving the problem of preventing emergencies envisages forecasting emergencies by type, level and possible losses caused as a their results both in the state as a whole and in its regions. To implement a systematic approach based on a formalized mathematical model, an organizational and technical method has been developed for predicting emergencies and possible losses caused as their results. The method is a combination of a variable order polynomial regression method, a weighted least squares method, and a probabilistic statistical method. This allows to compensate for the shortcomings of some at the expense of others, which will lead to an increase in forecasting accuracy. A control algorithm has been developed for the implementation of an organizational and technical method for predicting emergency situations and possible losses caused as their results. Its use involves the implementation of a number of interrelated procedures. At the first stage, the collection, processing and analysis of information on emergency situations in the country for a certain period of monitoring is carried out. This is the basis for predicting the processes of emergencies in general, in nature, level and types, as well as losses due to them both in the state and its regions. The information received is taken into account when forming a decision on the actions of civil protection units in order to adequately respond to emergency situations and eliminate their consequences. Based on the analysis of the effectiveness of the actions of the response units, the decisions on the elimination of emergency situations are adjusted. The developed method makes it possible to reasonably approach the planning and implementation of organizational and technical measures to prevent emergency situations, taking into account the potential threats to the territories and population of the country's regions

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Section: Introductionmentioning

confidence: 99%

Development of organizational and technical methods for predicting emergency situations and possible losses as their results

et al. 2021

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“…Another approach is to develop a response system based on reliable numerical dispersion models. For example, Taiwan developed an expert system for air pollution emergency response [4] by combining meteorological, air quality, and economic models. Further, NOAA and EPA provide the acute dispersion models and regulations such as the Areal Locations of Hazardous Atmospheres (ALOHA) model for predicting the spread of the pollutants [5] and the acute exposure guideline levels [6].…”

Section: Introductionmentioning

confidence: 99%

Numerical Modeling for the Accidental Dispersion of Hazardous Air Pollutants in the Urban Metropolitan Area

Kim

Lee

et al. 2020

Atmosphere

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A numerical simulation system is developed to predict the dispersion of hazardous air pollutants (HAPs) over a populated city due to accidental release. Ulsan, as one of the megacities in Korea, is chosen as an ideal testbed for the simulation, as it is located in complex terrain and hosts a national industrial complex on the outskirts of the city. The system is based on the California puff model (CALPUFF) for simulating a HAP’s dispersion, in which the three-dimensional atmospheric circulation derived from the observed weather station data is specified at a fine horizontal resolution of 200 m. A test scenario is developed for the accidental release of benzene during the daytime and nighttime, respectively, by a fictitious explosion of a storage container, and the injection amount is determined arbitrarily yet comparable to those in the past accidents. In attempting a quantitative assessment and zoning the level of potential risk over the impacted area, multiple simulations have been conducted each day with different hourly varying meteorological conditions in August. The dispersion characteristics of the air pollutant depend largely on the local wind patterns that vary substantially from day to day. Nevertheless, the composite analysis sufficiently identifies the impacted area by the HAP’s dispersion due to the local prevailing wind such as the land–sea breeze circulation. An immediate hazardous area is determined based on the vulnerability map constructed by zoning the level of risk determined by the spatial distribution of the HAPs’ concentration and the harmfulness standard to the human body.

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“…Постановка проблеми. Різкі зміни клімату, підвищення рівня сейсмічної активності земної кори, збільшення епідеміологічних захворювань людей, прогресуюче втручання людини в довкілля призводить до збільшення ризиків виникнення різноманітних природних катастроф, кількості і масштабів надзвичайних ситуацій (НС) природного характеру [1]. Все це негативно впливає на оточуюче середовище [2,3] та економіку різних країн [4,5], супроводжується не тільки матеріальними, а й людськими втратами.…”

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Verification of the Hypothesis on the Normal Distribution of the Number of Natural Emergencies on the Territory of Ukraine

Ivanets¹,

Horielyshev²,

Ivanets³

et al. 2022

CSWNANGU

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Managing Emergency Response of Air Pollution by the Expert System

Cited by 3 publications

References 1 publication

Development of organizational and technical methods for predicting emergency situations and possible losses as their results

Development of organizational and technical methods for predicting emergency situations and possible losses as their results

Numerical Modeling for the Accidental Dispersion of Hazardous Air Pollutants in the Urban Metropolitan Area

Verification of the Hypothesis on the Normal Distribution of the Number of Natural Emergencies on the Territory of Ukraine

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