Technical Papers
Oct 31, 2023

Recalculating Design Flood Values under Nonstationary Conditions in the Yalong River Basin, China

Publication: Journal of Hydrologic Engineering
Volume 29, Issue 1

Abstract

Global climate change and land use change are the two main factors influencing the hydrological cycle. Under future climate change conditions, the consequential change of hydrological extremes and design flood values of basins will directly influence the operation and dispatch of cascade reservoirs. Therefore, studying the impact of climate change on design flood values is crucial for flood defense and hydropower output increment. Annual maximum (AM) sampling was employed to obtain the annual maximum daily flood series of the Xiaodeshi station in the future (up to the year 2100) based on soil and water assessment tool (SWAT) modeling of daily runoff. Then, a time-varying moment model with time and meteorological factors taken as the covariates was developed, and the parameters were optimized based on the particle swarm optimization (PSO) algorithm. Subsequently, the design flood values with different frequencies were calculated, varying annually from 2022 to 2100. To align with the present reservoir operation protocol, a new method was developed based on the equivalent reliability (ER) principle to calculate the unique design flood values based on the dynamic outputs. The results indicate that, compared with using time as the covariate, the time-varying moment model with meteorological factors as covariates is physically more significant and yields more reasonable results. Under future climate change conditions, the design values decrease slightly under the representative concentration pathways (RCP)2.6 and RCP4.5 concentration path for the low frequencies (exceedance probability of 0.1% and 0.2%), with increases for other frequencies (Yan et al. 2017). They increase under the RCP8.5 concentration paths for all, especially medium, frequencies (exceedance probability of 5% and 10%). By combining the time-varying moment model with the equal reliability method, more reliable design flood values can be obtained.

Practical Applications

Global climate change is the main driving factor influencing the hydrological cycle and water resource allocation. The Yalong River Basin is an important hydropower base in China, with a total planned installed capacity of 30 million kilowatts, raising the question of whether the cascade reservoirs will be operated safely under the dispatching rules set based on the historical flow regime. In this study, the authors analyzed and evaluated the situation of flood defense at the selected representative station. The authors developed a new method to cope with the challenge of flood defense risk evaluation under future climate change conditions based on special methods and principles. The results indicate that the frequency of floods in the Yalong River basin will increase owing to future climate change, leading to a greater risk on flood control. Therefore, a modification on the operation and management rules of cascade hydropower stations in the basin is unavoidable.

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Data Availability Statement

Observed meteorological data and large scale meteorological data of GCMs used in this study are available at http://www.cma.gov.cn/ and https://esgf-node.llnl.gov/projects/esgf-llnl/, respectively. The runoff data is available from the corresponding author, upon reasonable request. The detailed information of data source and availability was shown in Table 1.

Acknowledgments

This research was financially supported by the National Natural Science Foundation of China (Nos. 40701024 and 41401018) and the Foundation of Power China Corporation Ltd. (Research on the application of key hydro-meteorological technologies for hydropower projects), all of which are greatly appreciated.

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Go to Journal of Hydrologic Engineering
Journal of Hydrologic Engineering
Volume 29Issue 1February 2024

History

Received: May 17, 2022
Accepted: Jun 30, 2023
Published online: Oct 31, 2023
Published in print: Feb 1, 2024
Discussion open until: Mar 31, 2024

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Ph.D. Candidate, College of Hydraulic and Environmental Engineering, China Three Gorges Univ., Yichang 43002, China. Email: [email protected]
Professor, College of Hydraulic and Environmental Engineering, China Three Gorges Univ., Yichang 43002, China (corresponding author). ORCID: https://orcid.org/0000-0003-3445-3860. Email: [email protected]
Chong Wei, Ph.D. [email protected]
College of Hydraulic and Environmental Engineering, China Three Gorges Univ., Yichang 43002, China. Email: [email protected]
Dan Yu, Ph.D. [email protected]
College of Hydraulic and Environmental Engineering, China Three Gorges Univ., Yichang 43002, China. Email: [email protected]
Huijuan Bo, Ph.D. [email protected]
College of Hydraulic and Environmental Engineering, China Three Gorges Univ., Yichang 43002, China. Email: [email protected]
Jing Guo, Ph.D. [email protected]
Power China Huadong Engineering Corporation Ltd., No. 201 Gaojiao Rd., Yuhang District, Hangzhou, Zhejiang 310014, China. Email: [email protected]

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