Abstract
In order to deal with the heavy social losses caused by the heavy rainfall in Shanxi Province, China, the flood control and disaster reduction system based on the BDS (BeiDou Navigation Satellite System) is designed to integrate multiple subsystems such as disaster reporting, disaster warning and disaster communication, which can collect and analyze the data information of the affected areas, the location of the affected people, the number of casualties, disaster losses and other aspects, using massive satellite remote sensing and sensor data to do analysis, to achieve accurate control of the flood situation. Before the disaster occurs, the areas that may occur disasters are fitted by UAV aerial survey technology and DEM (Digital Elevation Model), and disaster warning is issued in advance. In the event of a disaster, the BeiDou short message service is used to locate and search the affected people. After the occurrence of disasters, we can build databases to share disaster information and summarize disaster relief experience. So as to maximize the protection of people's life and property safety, reduce social and economic losses.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Obi, R., Nwachukwu, M.U., Okeke, D.C., et al.: Indigenous flood control and management knowledge and flood disaster risk reduction in Nigeria’s coastal communities: an empirical analysis. Int. J. Disaster Risk Reduct. 55(2), 102079 (2021)
Abdelal, Q., Al-Rawabdeh, A., Qudah, K.A., et al.: Hydrological assessment and management implications for the ancient Nabataean flood control system in Petra, Jordan. J. Hydrol. (2021)
Duan, G., He, Q., Liu, W.: Development status and trends of foreign navigation systems. Electr. Technol. Softw. Eng. 19, 29–31 (2021)
Ruiz, F.J., Ripoll, L., Hidalgo, M., et al.: Development and application of meteorological disaster monitoring and early warning platform for characteristic agriculture in Huzhou city based on GIS. Talanta (2019)
Xia, X., Min, J., Shen, F., et al.: Aerosol data assimilation using data from Fengyun-4A, a next-generation geostationary meteorological satellite. Atmos. Environ. 237, 117695 (2020)
Sun, J., Zhang, Y., Liu, R., et al.: A review of research on warm-sector heavy rainfall in China. Adv. Atmos. Sci. 36(12), 1299–1307 (2019)
Ni, W., Liu, T., Chen, S.: Rapid generation of emergency response plans for unconventional emergencies. IEEE Access 8, 181036–181048 (2020)
Liu, Y., Zhang, H., Xu, Y., Wang, D.: The status and progress of global navigation satellite system. J. Navig. Position. 7(01), 18-21+27 (2019)
Chen, Q., Yi, J.: Analysis of four global satellite navigation systems. J. Navig. Position. 8(03), 115–120 (2020)
Fogarty, E.S., Swain, D.L., Cronin, G.M., et al.: Potential for autonomous detection of lambing using global navigation satellite system technology. Anim. Prod. Sci. 60, 1217–1226 (2020)
Yu, J., Tan, K., Zhang, C., et al.: Present-day crustal movement of the Chinese mainland based on Global Navigation Satellite System data from 1998 to 2018. Adv. Space Res. 63(2), 840–856 (2019)
Zhijian, L., Xiaojiang, et al.: instantaneous ambiguity resolution in global-navigation-satellite-system-based attitude determination applications: a multivariate constrained approach. IEEE Wirel. Commun. 2, 6 (2019)
Zhu, Y., Tan, S., Zhang, Q., et al.: Accuracy evaluation of the latest BDGIM for BDS-3 satellites. Adv. Space Res. 64(6), 1217–1224 (2019)
Devices P. BeiDou navigation satellite system. Antibiotics (2014)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 Springer Nature Switzerland AG
About this paper
Cite this paper
Wang, S. et al. (2022). Design on Flood Control and Disaster Reduction System for Emergency Management Based on BDS. In: Wei, J., Zhang, LJ. (eds) Big Data – BigData 2021. BigData 2021. Lecture Notes in Computer Science(), vol 12988. Springer, Cham. https://doi.org/10.1007/978-3-030-96282-1_7
Download citation
DOI: https://doi.org/10.1007/978-3-030-96282-1_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-96281-4
Online ISBN: 978-3-030-96282-1
eBook Packages: Computer ScienceComputer Science (R0)