期刊文献+

基于ARIMA干预模型和对比分析的安徽省“清剿火患”效果研究 被引量:1

Effects and influence of eliminating the fire hazards action in Anhui: a study based on the ARIMA intervention model and comparison analysis
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摘要 为了研究"清剿火患"行动对安徽省火灾形势的抑制作用,采用ARIMA干预模型与火灾数据对比的方法对2007—2012年安徽省火灾统计数据进行了分析。2种ARIMA干预模型都能检测到"清剿火患"行动对季节调整后火灾起数时间序列的抑制效果。根据干预模型,抑制效果在"清剿火患"行动开展后第3个月时出现,火灾立即减少约300起,随后抑制效果逐渐衰减。在"清剿火患"行动开展14个月后,抑制效果几乎衰减为0。通过对比"清剿火患"期间与2009-10—2010-02、2010-10—2011-02的火灾统计数据,发现"清剿火患"行动期间的火灾起数较前两年同期的火灾起数大幅度降低,平均降幅达64%。在此基础上又分析了不同火灾原因、火灾场所和火灾起数的降低情况。对比发现,"清剿火患"期间火灾死亡人数与死亡人数不低于3人的火灾起数均降低为0。 The purpose of this study is to explore the suppressive effects of extinguishing fire hazard( EFH) measures in Anhui.As a matter of fact,we have collected and analyzed the statistic data of the fire disasters from 2007 to 2012 in the province. The said fire-suppressive effects of EFH have been investigated by using an intervention mode of Average Auto-Regressive Integrated Moving( AARIM) model and the fire history statistics comparison. More specifically speaking,the two ARIMA intervention models tend to bring about the suppressive effect of EFH on the seasonally adjusted fire-accident series. In fact,the intervention models tend to offer the suppressive effect in the third month after the beginning of EFH,which tends to be of an exponential decay with a sudden "pulse"decrement( about 300 fires) in the third month after the start of the action,which would be followed by a gradual deceleration back to the original pre-intervention level with no permanent effect. And,then,14 months later,the intervention effect of the suppressive effect tends to cease with the use of the ARIMA intervention model. The so-called ARIMA intervention model can also help to depict the fluctuation taking place in the process of suppressive effect decay,which behaves more realistically than the previous models. In addition,the comparison of the fire statistics results indicates that the number of fires that took place in the period of EFH can significantly be reduced in comparison with that in the corresponding period of the past two years by an average decrease rate of 64%. However,when we analyzed the causes for the fire probability reduction,we have found that the highest decrease rate can be as high as that of88%. What is more,a significant reduction frequency has taken place in the higher-hazard-prone areas,too. Moreover,it would be possible even for the places where fire accidents most likely occur,such as the 3-in-1 sites and the nursing homes,have been managed to reduce their fire accident rate to 0 in some periods of EFH. Thus,as the result of comparison,both the fire fatality and the number of fires with fatalities ≥ 3 have reduced to 0 in the period of EFH. In one word,EFH in Anhui has obviously helped to reduce the chance probability of fire accidents,though the fire departments have to remain highly vigilant and should never slacken their guard against anti-fire battles,rather,they should take more effective measures in enhancing the fire-extinguishing efforts to safeguard people's interests and protect the peaceful environment as well.
出处 《安全与环境学报》 CAS CSCD 北大核心 2015年第3期4-9,共6页 Journal of Safety and Environment
基金 国家自然科学基金项目(71403254 91024027)
关键词 安全管理工程 时间序列分析 火灾形势 抑制效果 safety control time series analysis fire situation suppressive effect
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参考文献23

  • 1Eliminating Fire Hazards Action by Fire Department of Ministry of Public Security(公安部开展清剿火患战役)[EB/OL]. [2013-10-05]. http://119.china.com.cn/ztbd/node_527881.htm.
  • 2杜红兵,秦鹏慧.美国通用航空飞行事故短期预测的时序外推分析模型[J].安全与环境学报,2011,11(3):209-212. 被引量:5
  • 3李新娟.中国煤矿安全状况与经济社会发展关系的研究[J].安全与环境学报,2012,12(4):197-203. 被引量:27
  • 4BOX G E P, TIAO G C. Intervention analysis with applications to economic and environmental problems[J]. Journal of the American Statistical Association, 1975, 70: 70-79.
  • 5FOX R T. Using intervention analysis to assess catastrophic events on business environment[J]. International Advances in Economic Research, 1996, 2: 341-349.
  • 6BIANCHI L, JARRET J, HANUMARA R C. Improving forecasting for telemarketing centers by ARIMA modeling with intervention[J]. International Journal of Forecasting, 1998, 14(4): 497-504.
  • 7LAM C Y, IP W H, LAU C W. A business process activity model and performance measurement using a time series ARIMA intervention analysis[J]. Expert System with Applications, 2008, 36: 6986-6994.
  • 8HIPEL K W, LETTENMAIER D P, MCLEOD A I. Assessment of environmental impacts part one: intervention analysis[J]. Environmental Management, 1978, 2: 529-535.
  • 9CHANG N B, LIN Y T. An analysis of recycling impacts on solid waste generation by time series intervention modeling[J]. Resources, Conservation and Recycling, 1997, 19: 165-186.
  • 10GEMITZI A, STEFANOPOULOS K. Evaluation of the effect of climate and man intervention on ground waters and their dependence ecosystems using time series analysis[J]. Journal of Hydrology, 2011, 403: 130-140.

二级参考文献28

  • 1刘刚,朱金福.基于灰色新陈代谢马尔可夫模型的飞行事故预测[J].中国安全科学学报,2007,17(5):17-20. 被引量:25
  • 2Chinese coal mine death rate per million tons in 20IO[ EB/OL ]. [2010 -12 - 11) [2011 - 06 - 03]. http: //ask. safehoo, com./? q - 249. html.
  • 3颜烨,Evolution of China' s coal mine safety supervision y ,om .W].当代中国史研究),2009(3):26.
  • 4张鹏,Analysis on the problems of China's coal man-a g e/njt Ystems!i 内蒙古煤炭经济 ,2009(4):10-12.
  • 5李洪彦Innovation of safety management systems andmechanism [ J ].煤炭技术 ,2010,29(6):33.
  • 6ZHU S L, CHERNI J A. Coal mining in China: policy and environ- ment under market reform [ J ]. International Journal of Energy Sector Management, 2009, 3( 1 ) : 9 - 29.
  • 7LI X J. Safe development of coal mine enterprises based on Endogenous Growth Theory [ C ]//Proceedings of Management of Natural Resources, Sustainable Development and Ecological Hazards H: Section 1, Devel- opment Issues. Southampton: WIT Press, 2009.
  • 8LAURENCE D. Safety rules and regulations on mine sites--the prob- lem and a solution [ J]. Journal of Safety Research, 2005 (36): 39 - 50.
  • 9李新娟、Coal mine safety on environmental sustainabilitybased on behavior science [ C ]//Proceedings of the 2009 International Conference on Environmental Science and Information Application Tech- nology: Vol. III, Session 1, Global Environment Change and Ecosys- tems Management I1l. Los Alamitos: IEEE Computer Society, 2009: 31 -33.
  • 10煤炭资源整合--开启中国“大矿时代”[EB/OL].(2011-09-03)[2011一09-05].http://www.sxeoalcom/mtzyzh2076669/artiele.new.html.

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