Russian Federation
Russian Federation
UDK 627.77 Спасание жизни на воде
The study carried out a systematic analysis of the problems of managing search and rescue operations typical for the waters of St. Petersburg, taking into account its specifics. Approaches are proposed to solve problematic issues in the field of search and rescue operations in the city’s water area. The creation of new rescue stations and the reconstruction of existing ones, the construction of an educational and training complex, and the development of a system to support management decision-making when responding to incidents in the water area are justified. Conclusions are drawn about the need for further scientific research related to the scientific substantiation of the choice of locations for new rescue stations, optimization of routes for rescue services in the current operational situation in the waters of St. Petersburg.
system analysis, management, search and rescue operations, water area of St. Petersburg, problematic issues, solutions
1. On the need to develop a concept for the development of a safety system for water bodies in St. Petersburg / O. I. Arishina, Yu. L. Danchuk, L. A. Promyslov, V. N. Ilyukhin // Morskoy Vestnik. – 2019. – No. 4(72). – pp. 115-120. – EDN XTZPAE.
2. Kolerov, D. A. Analysis of the problems of response of search and rescue services in the waters of St. Petersburg and approaches to their solution / D. A. Kolerov, Yu. L. Danchuk, I. O. Mamontova // Natural and man-made risks ( physical, mathematical and applied aspects). – 2023. – No. 2(45). – P. 74-80. – EDN SQYPWZ.
3. Mayevsky A. M., Pechaiko I. A. Experience and prospects for using groups of glider-type marine robotic systems to solve problems of monitoring and patrolling water areas // Extreme Robotics. – 2024. – No. 1(34). – pp. 99-104.
4. Kiselev L.V., Medvedev A.V. Trajectory survey of the boundaries of sea waters by a group of autonomous underwater robots // Izvestia of the Southern Federal University. Technical science. – 2018. – No. 3(197). – pp. 185-197. – DOIhttps://doi.org/10.23683/2311-3103-2018-3-185-197.
5. Malykhanov A. A., Chernenko V. E., Bylina P. V. Assessing the effectiveness of water patrol trajectories based on a simulation model // Automation of control processes. – 2010. – No. 2. – P. 31-33.
6. Yapparov E. R., Alekseev V. V. Special methods of conducting search operations // Bulletin of the Astrakhan State Technical University. Series: Marine engineering and technology. – 2020. – No. 4. – P. 23-35. – DOIhttps://doi.org/10.24143/2073-1574-2020-4-23-35. – EDN LUUVNY.
7. Yapparov E. R., Alekseev V. V. Survey of the search area for a ship in distress // Bulletin of the Astrakhan State Technical University. Series: Marine engineering and technology. – 2020. – No. 4. – P. 53-60. – DOIhttps://doi.org/10.24143/2073-1574-2020-4-53-60. – EDN HFLLRZ.
8. Xiong W., Van Gelder P., Yang K. A decision support method for design and operationalization of search and rescue in maritime emergency // Ocean Engineering. – 2020. – V. 207. – P. 107399. DOI https://doi.org/10.1016/j.oceaneng.2020.107399.
9. Ai B. et al. An intelligent decision algorithm for the generation of maritime search and rescue emergency response plans // IEEE Access. – 2019. – V. 7. – P. 155835-155850. – DOI https://doi.org/10.1109/ACCESS.2019.2949366.
10. Kartashov S.V. Safety in water bodies of the Northern capital // Current problems of protection and security: Proceedings of the XXIII All-Russian Scientific and Practical Conference of the Russian Academy of Missile and Artillery Sciences (RARAN), in 5 vols., St. Petersburg, 01–04 April 2020. Volume 2. - M.: Federal State Budgetary Institution "Russian Academy of Missile and Artillery Sciences", 2020. - P. 437-441. – EDN YSSSMZ.
11. Model of interdepartmental information interaction between RSChS authorities when managing search and rescue operations in the waters of St. Petersburg / D. A. Kolerov, I. L. Skripnik, T. T. Kaverzneva, V. A. Balabanov // Modern problems of civil protection. – 2023. – No. 2(47). – pp. 19-26. – EDN VEJWZE.
12. Matveev A., Maximov A., Bogdanova E. Intelligent decision support system for transportation emergency response // Transportation Research Procedia. – 2020. – V. 50. – P. 444-450. – DOIhttps://doi.org/10.1016/j.trpro.2020.10.058. – EDN FACOLJ.
13. Razi N., Karatas M. A multi-objective model for locating search and rescue boats // European Journal of Operational Research. – 2016. – V. 254. – No. 1. – P. 279-293. – DOI https://doi.org/10.1016/j.ejor.2016.03.026
14. Zhang F. et al. An Optimized Site Selection Method for Human-Life Search and Rescue in Inland Waters // ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering. – 2024. – V. 10. – No. 3. – P. 04024036. – DOI https://doi.org/10.1061/AJRUA6.RUENG-1166
15. Maksimov A. V. Methods of decision support in operational management in emergency situations: a review of research / National Security and Strategic Planning. – 2023. – No. 2(42). – pp. 91-102. – DOIhttps://doi.org/10.37468/2307-1400-2023-2-91-102. – EDN CJCPWN.
16. Perevalov, A. S. Scenarios for managing forces and means of search and rescue units of the Ministry of Emergency Situations of Russia in inland waters / A. S. Perevalov // Natural and man-made risks (physical, mathematical and applied aspects). – 2013. – No. 1(5). – pp. 18-27. – EDN ERWMXJ.
17. Fan X. Analysis of the current situation and countermeasures of maritime search and rescue in the waters of Pearl River Estuary. – 2018. URL: https://commons.wmu.se/cgi/viewcontent.cgi?article=1221&context=msem_dissertations
