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22 April 2022 Analysis on the joint risks of floods encountering tides in the reach of the Pearl River Basin based on the function statistics of the big data
Wei Xu, Pei Liu, Pengfei Huang, Zhongyuan Lin
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Proceedings Volume 12163, International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2021); 121634P (2022) https://doi.org/10.1117/12.2627927
Event: International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2021), 2021, Nanjing, China
Abstract
Taking the Northwest River Delta as a typical tidal region of the Pearl River Basin, based on big data statistics, the Archimedean copula function is used to construct the joint distributions of the annual maximum flood and the corresponding maximum tide within 48 hours together, with the maximum annual tide and the corresponding maximum flood within 48 hours. Through the joint risk probability model, the joint risk probability of floods encountering tides is calculated. The results show that: there will be a greater risk probability that the flood with a higher return period encounters the tide with a lower return period, and the tide with a higher return period encounters the flood with a lower return period. The joint distribution of flood and tide based on the copula function fits well, and the combined risk analysis is reliable. It provides a theoretical reference for the design risk calculation of the flood control project in the tidal reach of the Pearl River Basin.
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Wei Xu, Pei Liu, Pengfei Huang, and Zhongyuan Lin "Analysis on the joint risks of floods encountering tides in the reach of the Pearl River Basin based on the function statistics of the big data", Proc. SPIE 12163, International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2021), 121634P (22 April 2022); https://doi.org/10.1117/12.2627927
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KEYWORDS
Floods
Statistical analysis
Data modeling
Hydrology
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