气候变化领域集成服务门户(CCPortal): Haze risk: information diffusion based on cellular automata

CCPortal

DOI	10.1007/s11069-021-04521-2
	Haze risk: information diffusion based on cellular automata
	Zheng C.; Peng B.; Sheng X.; Wan A.
发表日期	2021
ISSN	0921030X
起始页码	2605
结束页码	2623
卷号	107 期号:3
英文摘要	Negative effects of haze risk can easily spread faster and more widely, however, existing studies rarely investigate the whole period or cycle of diffusion events, which leads to lowered public knowledge, often resulting in exaggerated negative effects. In this paper, the diffusion simulation model based on cellular automata is used to evaluate the diffusion of haze risk information. Firstly, according to the whole-life cycle of emergencies, the public affected by haze risk information is classified by resembling the SEIR infectious disease model. Secondly, a diffusion rule from unknown to exposed individuals is developed based on the theory of cellular automata. Then, according to the individual state transformation at different stages, a whole-life cycle model regarding haze risk information diffusion and propagation model is constructed. Finally, appropriate parameters are selected to calculate the results without intervention. The results show that during the whole evolution process, the unknowns continue to decrease, and the lurkers continue to increase. Due to the existence of the immunization period, the immunized persons reach their maximum number before they are about to lose immunity, and the number of communicators reaches their minimum. Afterward, the number of immunized persons reduced to a stable level, and the number of communicators continues to increase toward an agglomeration benefit. Therefore, in order to achieve effective control of the spread of haze risk information, strong and weak control measures are taken for each type of individuals, and the immunity of unknowns and lurkers is increased for individual type control. For the entire information diffusion control, increase communicator immunity and reduce immunization conversion rate. The study of the spread of haze risk information helps to increase the public's sense of responsibility, helps to improve the government's credibility, and contributes to the establishment of a harmonious society. © 2021, The Author(s), under exclusive licence to Springer Nature B.V. part of Springer Nature.
关键词	Cellular automata Haze risk Information diffusion Intense-mild control strategy Life cycle
英文关键词	cellular automaton; diffusion; disease control; haze; immunity; infectious disease; life cycle analysis; risk assessment
语种	英语
来源期刊	Natural Hazards
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/206722
作者单位	School of Management Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, 210044, China; Binjiang College, Nanjing University of Information Science and Technology, Wuxi, 214105, China
推荐引用方式 GB/T 7714	Zheng C.,Peng B.,Sheng X.,et al. Haze risk: information diffusion based on cellular automata[J],2021,107(3).
APA	Zheng C.,Peng B.,Sheng X.,&Wan A..(2021).Haze risk: information diffusion based on cellular automata.Natural Hazards,107(3).
MLA	Zheng C.,et al."Haze risk: information diffusion based on cellular automata".Natural Hazards 107.3(2021).