|本期目录/Table of Contents|

[1]凌笑颜,邓丽娟.基于云模型的深圳港危险化学品应急能力评价[J].集美大学学报(自然科学版),2020,25(2):113-119.
　LING Xiaoyan,DENG Lijuan.Evaluation of the Emergency Response Capability on Hazardous Chemicals in Shenzhen Port Based on Cloud Model[J].Journal of Jimei University,2020,25(2):113-119.
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《集美大学学报（自然科学版）》[ISSN:1007-7405/CN:35-1186/N]

卷:
第25卷
期数:
2020年第2期
页码:
113-119
栏目:
航海技术与物流工程
出版日期:
2020-03-28

文章信息/Info

Title:
Evaluation of the Emergency Response Capability on Hazardous Chemicals in Shenzhen Port Based on Cloud Model
作者:
凌笑颜1; 邓丽娟1
(集美大学航海学院, 福建 厦门 361021 )
Author(s):
LING Xiaoyan1; DENG Lijuan1
(Navigation College,Jimei University,Xiamen 361021,China)
关键词:
应急能力; 云模型; 风险评价; 深圳港; 危险化学品
Keywords:
emergency capacity; cloud model; risk assessment; Shenzhen Port; hazardous chemicals
分类号:
-
DOI:
-
文献标志码:
-
摘要:
利用云模型进行数据分析和处理，以提高港口危险化学品应急能力评价的科学性。以深圳市相关应急预案及风险评估报告为基础，结合应急管理的四个阶段，构建由1个一级指标，4个二级指标，13个三级指标和104个评估项构成的危险化学品应急能力评价指标体系。以专家打分结果为数据样本，分别生成权重云模型、评价云模型和综合云模型，将综合云模型在Matlab中仿真模拟，得到云图；然后将此云图与标尺云图进行比较，得出应急能力水平。得到的评价结果为，深圳港危险化学品应急能力属于中等偏上水平。
Abstract:
In order to improve the scientificity of the evaluation of the emergency response capability on hazardous chemicals in a port，a cloud model is used for data analysis and processing.Based on the relevant emergency plans and risk assessment reports in Shenzhen city and taking into account the four stages in emergency management，an emergency capability evaluation system is established to comprise one primary indicator，four secondary indicators，13 thirdlevel indicators and 104 evaluations items.The scores of experts are used as data samples to generate a weighted cloud model，an evaluation cloud model and a comprehensive cloud model.The comprehensive cloud model is simulated in Matlab to obtain a cloud image，which is compared with the standard cloud image to come up with the emergency capability.The evaluation results indicate that the emergency response capability on hazardous chemicals in Shenzhen Port is above average.

参考文献/References:

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相似文献/References:

[1]李滢棠,凌笑颜,邓丽娟.基于云模型的厦门保税船用燃油需求短期预测[J].集美大学学报(自然科学版),2021,26(5):439.
　LI Yingtang,LING Xiaoyan,DENG Lijuan.Short-Term Forecast of Xiamen Bonded Marine Fuel Demand Based on Cloud Model[J].Journal of Jimei University,2021,26(2):439.

备注/Memo

备注/Memo:
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更新日期/Last Update: 2020-05-22