State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China; College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China.
State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China; College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China; Key Laboratory of Water Big Data Technology of Ministry of Water Resources, Hohai University, Nanjing 210098, China.
Sci Total Environ. 2023 Apr 15;869:161707. doi: 10.1016/j.scitotenv.2023.161707. Epub 2023 Jan 20.
Drought-flood abrupt alternation (DFAA) as a compound natural disaster can cause severe socioeconomic loss and environmental destruction. Under climate change, the Huang-Huai-Hai River Basin has experienced evident increases in temperature and variability of precipitation. However, the study of the evolution characteristics of DFAA in the Huang-Huai-Hai River Basin is limited and the risk of exposure to DFAA events under future climatic conditions should be comprehensively assessed. In this study, the DFAA events including drought to flood (DTF) and flood to drought (FTD) events in the Yellow River Basin (YRB), Huai River Basin (HuRB), and Hai River Basin (HaRB) are identified by the long-cycle drought-flood abrupt alternation index (LDFAI) and the temporal variation and spatial distribution of the number and intensity of DFAA events from 1961 to 2020 are examined. The 24 climate model simulations of Coupled Model Intercomparison Project Phase 6 (CMIP6) are used to evaluate the variation of DFAA events based on the bias-corrected method. The results show that both DTF and FTD events occurred >10 times in most areas of the Huang-Huai-Hai River Basin from 1961 to 2020, and severe DFAA events occurred more frequently in the HaRB. The occurrence of DTF events decreased and FTD events continuously increased in the YRB, while they showed opposite trends in the HuRB and HaRB. In the future, the Huang-Huai-Hai River Basin is projected to experience more DTF events under the SSP1-2.6 and SSP2-4.5 scenarios, while more FTD events under the SSP3-7.0 and SSP5-8.5 scenarios. Most areas in the Huang-Huai-Hai River Basin are projected to be at medium or high risk of the frequency and intensity of DFAA events under different future scenarios, especially in the central part of the YRB. These findings can provide scientific reference to the formulation of management policies and mitigation strategies.
旱涝急转(DFAA)作为一种复合自然灾害,会导致严重的社会经济损失和环境破坏。在气候变化的背景下,黄淮海河流域的气温和降水变率明显增加。然而,对于黄淮海河流域 DFAA 演变特征的研究还很有限,需要综合评估未来气候条件下暴露于 DFAA 事件的风险。本研究利用长周期旱涝急转指数(LDFAI)识别黄河流域(YRB)、淮河流域(HuRB)和海河流域(HaRB)的旱涝急转事件,分析了 1961 年至 2020 年期间 DFAA 事件的数量和强度的时空变化。利用耦合模式比较计划第六阶段(CMIP6)的 24 个气候模式模拟结果,基于偏差校正方法评估 DFAA 事件的变化。结果表明,1961 年至 2020 年期间,黄淮海河流域大部分地区的旱涝急转事件发生次数均超过 10 次,且海河流域的严重旱涝急转事件更为频繁。黄河流域的旱转涝事件呈减少趋势,涝转旱事件持续增加,而淮河流域和海河流域则呈现相反的趋势。未来,在 SSP1-2.6 和 SSP2-4.5 情景下,黄淮海河流域预计将经历更多的旱转涝事件,而在 SSP3-7.0 和 SSP5-8.5 情景下,涝转旱事件将增加。在不同的未来情景下,黄淮海河流域大部分地区的旱涝急转事件频率和强度预计将处于中高风险水平,特别是黄河流域的中部地区。这些发现可为管理政策和缓解策略的制定提供科学参考。