Abstract
In order to improve the synergy level of marine disaster monitoring and early warning in coastal cities, an evaluation index system of 21 factors with 5 dimensions was constructed based on the synergy theory. The weights of all levels of indicators were determined by coefficient of variation method, and 24 representative coastal cities in China were evaluated by multi-layer gray correlation method. The evaluation results showed that: the level of synergy in each dimension of 24 coastal cities is uneven, and the distribution level is not high. The level of synergy of marine disaster monitoring and early warning in coastal cities is positively correlated with the level of economic development. The level of synergy of monitoring and early warning of marine disasters in 24 coastal cities is not high, which is generally distributed in medium and low levels. Furthermore, according to the evaluation results and the current situation of marine disaster monitoring and early warning in coastal cities, a network organization structure is proposed to enhance the synergy ability of the monitoring and early warning of coastal cities, so as to provide practical basis for the construction of China's coastal cities in the global marine disaster monitoring and early warning synergy.
Similar content being viewed by others
Data Availability
Authors ensure that all data are included in the manuscript document.
References
Bai J, Jun NP, Zhang CQ et al (2020) Research on characteristics and successful early warning of Xingyi landslide in Guizhou. J Eng Geol 6:1–16
Cai DX, Zhu JM, Wang GQ (2017) Study on the multi-level collaborative layout of emergency equipment based on scenario analysis. China Manage Sci 25(10):72–79
Fna A et al (2021) Challenges in multi-agency collaboration in disaster management: A Sri Lankan perspective. International Journal of Disaster Risk Reduction. 62:1–12
Gonzalez J, Valencia J, Santos G, Valencia J (2019) Early warning system on extreme weather events for disaster risk reduction. Revista Facultad De Ingeniería 92(92):96–104
He Y (1993) Grey multi-level comprehensive evaluation model and its application. System Eng Theory Practice 13(4):72–76
He G, Zhu Y, Zhang GS, Qiao GT (2016) Research on coupling coordination degree of security emergency management in coal mine. Int J Security ITS Appl 10(12):207–217
He YH, Jiang RC, Gu SX (2017) Applied prospect of modern information technology in relation to mountain flood disaster monitoring and early warning system. J Inf Optim Sci 38(7):1151–1167
Henriksen HJ, Roberts MJ, van D K, et al (2018) Participatory early warning and monitoring systems: A Nordic framework for web-based flood risk management. Int J Disaster Risk Reduct 31:1295–1306
Hou YY, Yin BS, Guan CL et al (2020) Progress and prospect in research in research on marine dynamic disasters in China. Oceanologia Et Limnologia Sinica 51(4):759–767
Huang X, Jing HD, Bai H (2019) Vulnerability assessment of China’s coastal cities based on DEA cross efficiency model. Int J Disaster Risk Reduct 36:1–11
Huang X, Song JY, Li X et al (2020) Evaluation model of synergy degree for disaster prevention and reduction in coastal cities. Nat Hazards 1:1–21
Jiang H, She L (2007) Research on the organizational system of regional public emergency response action. J Wuhan Univ Technol (social Science Edition) 20(5):597–598
Lima G, Scofield G B (2021) Feasibility study on operational use of neural networks in a flash flood early warning system. RBRH 26(4)
Lin Z (2019) Research on the collaborative governance mechanism of network public opinion in public emergencies. Huazhong Univ Sci Tech (social Science Edition) 2:38–44
Ling XW, Liao M (2007) Research on the construction of coordination and linkage mechanism in government emergency management. Theoretical Circles 9:51
Liu HQ, Sha YZ, Liu Q (2011) The construction of an emergency management coordination linkage mechanism: An analysis from three perspectives. J Inform 34(4):18–23
Liu XQ, Zhang SF, Yu DZ et al (2022) Vulnerability assessment and analysis of marine dynamic disasters hazard-bearing body—A case study of Haikou city. Mar Environ Sci 41(2):162–163
Liu Y (2018) Research on the linkage mechanism of Shanghai-level grassroots emergency units from the perspective of holistic governance. The Party School of the Shanghai Municipal Committee of the Communist Party of China, pp:23–34
Lotfi, R., Kheiri, K., Sadeghi, A., & Babaee Tirkolaee, E. (2022a). An extended robust mathematical model to project the course of COVID-19 epidemic in Iran. Annal of Operat Res, 1–25.
Lotfi, R., Kargar, B., Gharehbaghi, A., Hazrati, H., Nazari, S., & Amra, M. (2022b). Resource-constrained time-cost-quality-energy-environment tradeoff problem by considering blockchain technology, risk and robustness: a case study of healthcare project. Environ Sci Pollut Res, 1–17.
Lotfi, R., Kargar, B., Gharehbaghi, A., Afshar, M., Rajabi, M. S., & Mardani, N. (2022c). A data-driven robust optimization for multi-objective renewable energy location by considering risk. Environment, Develop Sust, 1–22.
Pan XX, He QY (2014) Evaluation of the coordinated development of ecological, Economic and Financial Coupling in Poyang Lake Region. Sci Technol Manage Res 9:227–230
Qi HL, Ning YC (2017) Research on the evaluation of coordination degree of coal mine safety emergency management system. Coal Eng 49(1):138–141
Sagun A, Bouchlaghem D, Anumba CJ (2009) A scenario-based study on information flow and collaboration patterns in disaster management. Disasters 33:214–238
Shan XN, Duan X (2022) Impact factors and action paths of collaborative governance behavior of multiple subjects in public crises under complex perspective: A dual analysis based on meta-analysis and QCA model. Public Admin Policy Rev 11(1):104–119
Su Y, An XL, Sun Y et al (2018) Construction and Empirical Research on the Coupling Degree Measurement Model of Regional Innovation System. J Syst Eng 33(3):398–411
Valecha, R(2020) An Investigation of Interaction Patterns in Emergency Management: A Case Study of The Crash of Continental Flight 3407. Inf Syst Front(22): 897–909.
Wang QY (2008) Earthquake disaster relief highlights the issue of coordination between NGOs and the government. Journal of Chengdu Institute of Public Administration 3:4
Wang Z (2021) Research on landslide warning model establishment and disaster space-time evolution analysis. Adv Civil Eng 24:1–10
Wu XT, Wu LP (2011) An empirical study on the influencing factors of regional emergency response in emergencies. Catastrophe Sci 26(3):139–144
Xu YJ (2020) Development strategy of China’s coastal cities for addressing climate change. Climate Change Res 16(1):88–98
Xue FC, Tian J, Song XY, Yan Y (2020) Urban waterlogging monitoring and early warning based on video images. Int J Embedded Syst 13(4):380–386
Zhang WH (2020) Geological disaster monitoring and early warning system based on big data analysis. Arab J Geosci 13(18):946
Zhang Y, Zou D, Zheng J, Fang X, Luo H (2016) Formation mechanism of quick emergency response capability for urban rail transit: Inter-organizational collaboration perspective. Adv Mech Eng. https://doi.org/10.1177/1687814016647881
Zheng C, Dong W(2018) Research on the emergency linkage mechanism of Beijing-Tianjing-Hebei region under the angle of vulnerability 20(4):36-42
Zhou FJ (2018) Research on inter-departmental collaborative governance of urban public crisis in the big data era. Xiangtan University 108–136
Acknowledgements
This article is funded by Humanities and Social Sciences planning fund of the Ministry of education of China (22YJA630031), National Natural Science Foundation Project (72101219), Major Projects of key Research Bases in Sichuan Province (SC22EZD009), Sichuan Public Management Information Research Center (QGXH20-05), Sichuan Circular Economy Research Center Key Project (XHJJ-2101), Sichuan Information Management and Service Research Center Key Project (SCXX2020ZD02). Thanks to experts and journal editors who reviewed this article and to all scholars who provided references.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
All authors declare that they have no conflicts of interest.
Human and animal rights
This article does not contain any studies with human participants or animals performed by any of the authors.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Xing, H., Xiaoyin, Z., Qingqing, L. et al. Evaluation of synergy ability and reconstruction of synergy organization for marine disaster monitoring and early warning in coastal cities, China. Soft Comput 27, 18245–18262 (2023). https://doi.org/10.1007/s00500-023-08080-5
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00500-023-08080-5