STRUCTURAL ANALYSIS OF THE NUMBER OF FIRES IN UKRAINE

M. Suprovych, O. V. Shutyak
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Abstract

Among the possible dangers, fires definitely rank first. In Ukraine, there is a growing trend in the number of fires and the damage they cause. Therefore, identifying the structure of cause-and-effect patterns of this hazardous phenomenon is important for the development of measures to reduce the negative consequences of fires. The considerable array of statistical information on fires and their consequences, which is annually collected and published by the Ukrainian Research Institute of Civil Protection, gives an opportunity to carry out a range of relevant statistical researches. The research objective is to study structural changes in fire spread in Ukraine’s regions for the last 9 years. The study is based on statistical data from 2013–2021 on fire spread in 24 regions and Kyiv city. In order to identify structural changes, their intensity was assessed using 5 indices: indicators of linear and quadratic coefficients of absolute structural breaks, Gatev’s coefficient of structural differences, Salai’s general indicator of structural changes and Ryabtsev index. By relying on the cluster analysis, homogeneous groups are identified following the number of fires and the causes of structural changes in the periods of maximum and minimum shifts are considered. The biggest difference in the number of fires occurred between the 2013 and 2019 pair. In this period, the estimated indices have reached the maximum value. In terms of the quadratic coefficient, significant structural shifts are characteristic of most pairs relative to 2013 and 2014. This observation is confirmed by the Ryabtsev Index indicators, according to which the mentioned groups have a significant level of difference. Minimal structural changes are found for pairs 2013→2015; 2017→2018; 2015→2021 and 2020→2021. Linear approximation across all indices showed that structural shifts in the number of fires tended to increase. UPGMA-dendrogram was built on the basis of cluster analysis, which identified three homogeneous groups of regions according to the number of fires. A comparison of their numbers in 2013 and 2019 showed that the main structural shifts are formed by the first group, which included 6 areas: Kharkiv, Kyiv, Odessa, Zaporizhzhia, Donetsk, Dnipropetrovsk regions, and the city of Kyiv, i.e., administrative-territorial entities where the majority of the population resides, the main share of industrial production is produced, and the key energy capacities of the country are located. Significant structural shifts in fire numbers from 2013 to 2021 are common for all regions and the city of Kyiv of group I and all regions (except Kirovohrad) of group III. This observation is confirmed by the Ryabtsev coefficient values. All Group I and Group III areas have a substantial or significant level of variation in fire incidence patterns. In the second cluster, only 4 oblasts of Transcarpathian, Luhansk, Poltava and Chernihiv have a significant level of shifts. Available volume of statistical data allows extending structural analysis using other indicators of the state of fire safety, such as the number of fires in cities and villages, number of victims and injured, material losses from fires, number of fires per 10 thousand population, damage per 10 thousand population, etc.
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乌克兰火灾数量的结构分析
在可能发生的危险中,火灾绝对排在第一位。在乌克兰,火灾数量及其造成的破坏呈增长趋势。因此,查明这一危险现象的因果模式的结构对于制订减少火灾消极后果的措施是重要的。乌克兰民防研究所每年收集和出版关于火灾及其后果的大量统计资料,使人们有机会进行一系列有关的统计研究。研究目的是研究过去9年来乌克兰地区火灾蔓延的结构变化。该研究基于2013-2021年24个地区和基辅市的火灾蔓延统计数据。为了识别结构变化,采用绝对结构断裂线性和二次系数指标、Gatev结构差异系数、Salai结构变化一般指标和Ryabtsev指数5个指标评价结构变化强度。通过依赖聚类分析,在火灾数量之后确定同质群体,并考虑最大和最小位移期间结构变化的原因。火灾数量的最大差异发生在2013年和2019年之间。在此期间,估计的指标达到最大值。在二次系数方面,相对于2013年和2014年,大多数货币对的结构性变化显著。这一观察结果得到了Ryabtsev指数的证实,根据该指数,上述组具有显著的差异。从2013年到2015年,结构变化最小;2017→2018;2015→2021、2020→2021。所有指数的线性近似表明,火灾数量的结构性变化有增加的趋势。在聚类分析的基础上,构建upgma树状图,根据火灾数量将区域划分为3组。2013年和2019年的数据比较表明,主要的结构性转变是由第一组形成的,其中包括哈尔科夫、基辅、敖德萨、顿涅茨克、第聂伯罗彼得罗夫斯克地区和基辅市6个地区,即人口最多、工业生产占主要份额和国家关键能源能力所在的行政领土实体。从2013年到2021年,火灾数量的重大结构性变化在所有地区和第一组的基辅市以及第三组的所有地区(基罗沃赫拉德除外)都很常见。这一观测结果由Ryabtsev系数值证实。所有第一类和第三类地区在火灾发生模式上都有相当大或显著的差异。在第二组中,只有外喀尔巴阡州、卢甘斯克州、波尔塔瓦州和切尔尼耶夫州的4个州发生了显著的变化。现有的统计数据量允许使用消防安全状况的其他指标扩展结构分析,例如城市和村庄的火灾次数、受害者和受伤人数、火灾造成的物质损失、每万人口的火灾次数、每万人口的损失等。
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