Journal
JOURNAL OF HYDROLOGY
Volume 610, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.jhydrol.2022.127979
Keywords
Climate change; Flood risk assessment; Uncertainty analysis; ARIMA; BMA
Funding
- National Natural Science Foundation of China [52079054]
- project of Power Construction Corporation of China [DJ-ZDZX-2016-02]
- Natural Science Foundation of Hubei Province [2021CFB325]
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This study considers the impact of climate change on reservoir flood risks and establishes a new ARIMA stochastic model to simulate possible future floods. Using the Yangfanggou Reservoir in the Yalong River basin as a case study, the flood risks under different future climate scenarios were evaluated. The results indicate an increasing trend in future flood risks.
To assess the flood risks of reservoirs in a changing environment, this study considers the uncertainty of future floods and argues that the future flood projected by Global Climate Models (GCMs) is only one of the possibilities. This possibility contains some main statistical characteristics of future floods. The autoregressive integrated moving average (ARIMA) model was used to extract such statistical characteristics of the future flood series. Moreover, the initial values of the model were assumed to obey the probability distribution derived from historical floods. Hence, a novel full-series ARIMA stochastic model which can simultaneously reflect the statistical characteristics of past and future floods has been built to simulate the possible future extreme floods. Synthetic flood series under different future climate scenarios were randomly generated by the proposed model. Then the flood risks exceeding the design flood and check flood can be obtained. The Bayesian model averaging (BMA) method was used to weight the flood risks projected by each GCM to better incorporate the uncertainty of GCMs. The Yangfanggou Reservoir in Yalong River basin of China was selected as a case study. The future flood risks under three Representative Concentration Pathways (RCPs) were assessed. The results highlight that future flood risks have an increasing trend. Under future RCP2.6, RCP4.5 and RCP8.5 scenarios, the risk rates of exceeding design flood are in the range of 0.63%-0.74%, 1.31%-4.58% and 2.63%-5.23%, respectively. The risk rates of exceeding check flood are in the range of 0.20%-0.25%, 0.41%-2.14% and 0.97%-2.48%, respectively. This study provides a comprehensive evaluation of flood risk and could be useful when planning to fortify existing structures and update design standards.
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