| Title |
Evaluation of synergy ability and reconstruction of synergy organization for marine disaster monitoring and early warning in coastal cities, China |
| ID_Doc |
15921 |
| Authors |
Huang, X; Zheng, XY; Liu, QQ; Du, J |
| Title |
Evaluation of synergy ability and reconstruction of synergy organization for marine disaster monitoring and early warning in coastal cities, China |
| Year |
2023 |
| Published |
Soft Computing, 27, 23 |
| DOI |
10.1007/s00500-023-08080-5 |
| 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. |
| Author Keywords |
Marine disaster monitoring and early warning; Multi-layer gray correlation method; Organization reconstruction; Synergy evaluation |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000968153200004 |
| WoS Category |
Computer Science, Artificial Intelligence; Computer Science, Interdisciplinary Applications |
| Research Area |
Computer Science |
| PDF |
https://www.researchsquare.com/article/rs-369030/latest.pdf
|