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【目的】全球气候变暖加剧了洪水和热浪等极端事件发生的频率,导致洪水热浪复合极端事件(Successive flood-heat extreme,SFHE)风险上升,研究SFHE事件的时空演变规律,对复合灾害风险防控及应对具有重要的科学意义。【方法】基于观测和再分析数据,采用多种统计分析方法,分析了过去54 a(1961—2014)中国九大流域SFHE特征(频次、历时、洪水和热浪的间隔IFH、覆盖面积)的时空演变规律,探讨了不同地区洪水和热浪对SFHE发生的影响。【结果】结果表明:(1)中国SFHE频次、历时和土地覆盖面积整体呈显著增加趋势,而IFH呈显著减少趋势;(2)空间上,西南诸河中部、长江流域南部和珠江流域北部SFHE发生的频次较高(>34次/10 a),而历时在长江下游、东南诸河和淮河流域南部较长(>13 d);(3)不同流域SFHE频次的周期性差异较大,但整体存在2.8 a的主周期,该周期在1990 s至2000 s前期最为显著;(4)九大流域SFHE发生的频次由洪水频次主导,其影响在淮河流域最大。【结论】研究结果表明中国地区发生SFHE的风险呈显著上升趋势,其突发性增强,总的来看洪水对SFHE的发生起主导作用。
Abstract:[Objective]Global warming has intensified the frequency of extreme events such as floods and heat waves, leading to an increased risk of successive flood-heat extreme(SFHE) events. Studying the spatiotemporal evolution of SFHE events has important scientific significance for the prevention and response to composite disaster risks.[Methods]Based on observation and reanalysis data, multiple statistical analysis method were used to analyze the spatiotemporal evolution of SFHE characteristics(frequency, duration, interval between floods and heat waves IFH, coverage area) in nine major river basins in China over the past 54 years(1961—2014), and explore the relative impact of floods and heatwaves on SFHE occurrence.[Results]The result indicate that:(1)The frequency, duration, and land coverage area of SFHE show a significant increasing trend, while IFH has a significant decreasing trend in China.(2)Spatially, the risk of SFHE is higher in the middle of the Southwest River basin, the south of the Yangtze River basin and the north of the Pearl River basin(>34 times/decade), while the duration is longer in the lower reaches of the Yangtze River basin, the Southeast River basin and the south of the Huaihe River basin(>13 d).(3)The periodicity of SFHE frequency varies in different watersheds, but there is a main cycle of 2.8a in China, which is most significant from the 1990 s to the early 2000 s.(4)The frequency of SFHE occurrence in the nine river basins is dominated by flood frequency, with the greatest impact in the Huaihe River basin.[Conclusion]The research result demonstrate that the risk of SFHE occurrence is significantly increasing, and the suddenness of SFHE is increasing in China. Overall, floods play a dominant role in the occurrence of SFHE.
[1]GHANBARI M,ARABI M,KAO S C,et al.Climate change and changes in compound coastal-riverine flooding hazard along the U.S.coasts[J].Earth's Future,2021,9(5):e2021EF002055.
[2]胡义明,温骐宇,王静,等.欧美亚典型发达国家洪水标准及应对气候变化策略[J].南水北调与水利科技(中英文),2024,22(3):605-617.HU Y M,WEN Q Y,WANG J,et al.Flood standards and coping strategies for climate change in typical developed countries in Europe,America,and Asia[J].South-to-North Water Transfers and Water Science&Technology,2024,22(3):605-617.
[3]AGHAKOUCHAK A,CHIANG F,HUNING L S,et al.Climate extremes and compound hazards in a warming world[J].Annual Review of Earth and Planetary Sciences,2020,48(1):519-548.
[4]PERKINS S E.A review on the scientific understanding of heatwaves:Their measurement,driving mechanisms,and changes at the global scale[J].Atmospheric Research,2015,164:242-267.
[5]XU Z,FITZGERALD G,GUO Y,et al.Impact of heatwave on mortality under different heatwave definitions:A systematic review and meta-analysis[J].Environment international,2016,89:193-203.
[6]MADSEN H,LAWRENCE D,LANG M,et al.Review of trend analysis and climate change projections of extreme precipitation and floods in Europe[J].Journal of Hydrology,2014,519:3634-3650.
[7]HAO Z,SINGH V P,HAO F.Compound extremes in hydroclimatology:a review[J].Water,2018,10(6):718.
[8]GU L,CHEN J,YIN J,et al.Global increases in compound flood-hot extreme hazards under climate warming[J].Geophysical Research Letters,2022,49(8):e2022GL097726.
[9]余荣,翟盘茂.关于复合型极端事件的新认识和启示[J].大气科学学报,2021,44(5):645-649.YU Rong,ZHAI Panmao.Advances in scientific understanding on compound extreme events[J].Transactions of Atmospheric Sciences,2021,44(5):645-649.
[10]LIAO Z,CHEN Y,LI W,et al.Growing threats from unprecedented sequential flood-hot extremes across China[J].Geophysical Research Letters,2021,48(18):e2021GL094505.
[11]ZHOU J,WU C,YEH P J F,et al.Anthropogenic climate change exacerbates the risk of successive flood-heat extremes:Multi-model global projections based on the Inter-Sectoral Impact Model Intercomparison Project[J].Science of The Total Environment,2023,889:164274.
[12]WANG S S Y,KIM H,COUMOU D,et al.Consecutive extreme flooding and heat wave in Japan:Are they becoming a norm?[J].Atmospheric Science Letters,2019,20(10):e933.
[13]HAGUE B S.Seasonal climate summary for Australia and the Southern Hemisphere (summer 2018-2019):Extreme heat and flooding prominent[J].Journal of Southern Hemisphere Earth Systems Science,2021,71(1):147-158.
[14]CHEN Y,LIAO Z,SHI Y,et al.Detectable increases in sequential flood-heatwave events across China during 1961-2018[J].Geophysical Research Letters,2021,48(6):e2021GL092549.
[15]CHEN Y,ZHAI P.Simultaneous modulations of precipitation and temperature extremes in Southern parts of China by the boreal summer intraseasonal oscillation[J].Climate Dynamics,2017,49 (9/10):3363-3381.
[16]刘慕嘉,杨秀芹,姚飛,等.1961-2020年中国洪水-热浪复合极端事件时空变化特征[J].中国农村水利水电,2023(4):167-176.LIU Mujia,YANG Xiuqin Q,YAO Fei,et al.Spatial-temporal changes in compound extreme flood-heatwave events over China during1961-2020[J].China Rural Water and Hydropower,2023 (4):167-176.
[17]WANG J,CHEN Y,TETT S F B,et al.Storyline attribution of human influence on a record-breaking spatially compounding floodheat event[J].Science Advances,2023,9(48):eadi2714.
[18]XU K,XU B,JU J,et al.Projection and uncertainty of precipitation extremes in the CMIP5 multimodel ensembles over nine major basins in China[J].Atmospheric Research,2019,226:122-137.
[19]吴佳,高学杰.一套格点化的中国区域逐日观测资料及与其它资料的对比[J].地球物理学报,2013,56(4):1102-1111.WU Jia,GAO Xuejie.A gridded daily observation dataset over China region and comparison with the other datasets[J].Chinese Journal of Geophysics,2013,56(4):1102-1111.
[20]LI B,RODELL M,SHEFFIELD J,et al.Long-term,nonanthropogenic groundwater storage changes simulated by three globalscale hydrological models[J].Scientific Reports,2019,9:10746.
[21]RODELL M,HOUSER P R,JAMBOR U,et al.The global land data assimilation system[J].Bulletin of the American Meteorological Society,2004,85(3):381-394.
[22]温昕晟,杨双艳,高铭祥,等.夏季欧亚中高纬大气ISO与欧洲阻塞频率的联系及其对极端高温事件的协同作用[J].大气科学,2024,48(3):1043-1058.WEN Xinsheng,YANG Shuangyan,GAO Mingxiang,et al.Relation of atmospheric ISOs over the mid-high latitudes of Eurasia to the European blocking frequency and their co-effect on extreme hot events during boreal summer[J].Chinese Journal of Atmospheric Sciences,2024,48(3):1043-1058.
[23]HE X,SHEFFIELD J.Lagged compound occurrence of droughts and pluvials globally over the past seven decades[J].Geophysical Research Letters,2020,47(14):e2020GL087924.
[24]王孟浩,江善虎,任立良,等.渭河流域热浪事件影响下的骤旱评估[J].水利发展研究,2023,23(9):21-28.WANG Menghao,Jl ANG Shanhu,REN liliang,et al.Evaluation of flash drought under the impact of heat waves events in the Weihe River Basin[J].Water Resources Development Research,2023.23(9):21-28.
[25]MANN H B.Nonparametric tests against trend[J].Econometrica:Journal of the Econometric Society,1945,13:245-259.
[26]ALI R,KURIQI A,ABUBAKER S,et al.Long-term trends and seasonality detection of the observed flow in Yangtze River using Mann-Kendall and Sen's innovative trend method[J].Water,2019,11(9):1855.
[27]DANESHVAR VOUSOUGHI F,SAMADI M,et al.Wavelet-based trend analysis of hydrological processes at different timescales[J].Journal of Water and Climate Change,2015,6(3):414-435.
[28]SEN P K.Estimates of the regression coefficient based on Kendall's tau[J].Journal of the American Statistical Association,1968,63(324):1379-1389.
[29]ALMAZROUI M,?EN Z.Trend Analyses methodologies in hydrometeorological records[J].Earth Systems and Environment,2020,4(4):713-738.
[30]DABANL?I,?EN Z,YELEɡEN M?,et al.Trend assessment by the innovative-Sen method[J].Water Resources Management,2016,30(14):5193-5203.
[31]KHALID S,NAZ A,RAHMAN Z,et al.Trend analysis of hydrometeorological variables of Islamabad,Pakistan:a spatio-temporal view from Pothohar region[J].Meteorology and Atmospheric Physics,2023,135(3):1-14.
[32]谢智博,穆兴民,高鹏,等.基于R/S和Morlet小波分析的北洛河上游径流变化特征[J].水土保持研究,2022,29(2):139-144.XIE Zhibo,MU Xingmin,GAO Peng,et al.Variation characteristics of run off in the upper reaches of Beiluo River based on R/S and Morlet Wavelet analysis[J].Research of Soil and Water Conservation,2022,29(2):139-144.
[33]刘志方,刘友存,郝永红,等.黑河出山径流过程与气象要素多尺度交叉小波分析[J].干旱区地理,2014,37(6):1137-1146.LIU Zhifang,LIU Youcun,HAO Yonghong,et al.Multi-time scale cross-wavelet transformation between runoff and climate factors in the upstream of Heihe River[J].Arid Land Geography,2014,37(6):1137-1146.
[34]TORRENCE C,COMPO G P.A practical guide to wavelet analysis[J].Bulletin of the American Meteorological Society,1998,79(1):61-78.
[35]杨锡震,陈俊英,张秋雨,等.基于小波特征和冬小麦生理参数的土壤水分高光谱模型优化[J].农业工程学报,2023,39(10):66-75.YANG Xizhen,CHEN Junying,ZHANG Qiuyu,et al.Optimization of the soil moisture model based on hyperspectral inversion by integrating wavelet features and growth parameters of winter wheat[J].Transactions of the Chinese Society of Agricultural Engineering(Transactions of the CSAE),2023,39(10):66-75.
[36]郭琳,宫辉力,朱锋,等.基于小波分析的地下水水位与降水的周期性特征研究[J].地理与地理信息科学,2014,30(2):35-38.GUO Lin,GONG Huili,ZHU Feng,et al.Cyclical characteristics of groundwater level and precipitation based on wavelet analysis[J].Geography and Geo-Information Science,2014,30(2):35-38.
[37]徐芝英,胡云锋,甄霖,等.基于小波的浙江省NDVI与自然-人文因子多尺度空间关联分析[J].地理研究,2015,34(3):567-577.XU Zhiying,HU Yunfeng,ZHEN Lin,et al.Wavelet-based multiscale analysis of NDVI and background factors in Zhejiang Province[J].Geographical Research,2015,34(3):567-577.
[38]BROWN B L,HENDRIX S B.Partial correlation coefficients[J].Encyclopedia of Statistics in Behavioral Science,2005,3:1518-1523.
[39]ZHANG H,ZHAN C,XIA J,et al.Responses of vegetation to changes in terrestrial water storage and temperature in global mountainous regions[J].Science of the Total Environment,2022,851:158416.
[40]ZHANG W,VILLARINI G.Deadly compound heat stress-flooding hazard across the central United States[J].Geophysical Research Letters,2020,47(15):e2020GL089185.
[41]NING G,LUO M,ZHANG W,et al.Rising risks of compound extreme heat-precipitation events in China[J].International Journal of Climatology,2022,42(11):5785-95.
[42]YOU J,WANG S.Higher probability of occurrence of hotter and shorter heat waves followed by heavy rainfall[J].Geophysical Research Letters,2021,48(17):e2021GL094831.
[43]CHIANG J C,SOBEL A H.Tropical tropospheric temperature variations caused by ENSO and their influence on the remote tropical climate[J].Journal of climate,2002,15(18):2616-31.
[44]JOSEPH D,KUMAR V S.Response of ocean surface waves to the cooccurrence of boreal summer intra-seasonal oscillation and El Ni?o Southern Oscillation[J].Climate Dynamics,2021,57(3/4):1155-71.
[45]SATOH M,OOUCHI K,NASUNO T,et al.The Intra-Seasonal Oscillation and its control of tropical cyclones simulated by highresolution global atmospheric models[J].Climate Dynamics,2011,39(9/10):2185-206.
[46]LV M,LU H,YANG K,et al.Assessment of runoff components simulated by GLDAS against UNH-GRDC dataset at global and hemispheric scales[J].Water,2018,10(8):969.
[47]UDDIN S,REVEL M,MODI P,et al.Quantifying the relative contributions of climate change and ENSO to flood occurrence in Bangladesh[J].Environmental Research Letters,2023,18 (10):104027.
基本信息:
DOI:10.13928/j.cnki.wrahe.2025.06.002
中图分类号:P467;TV122
引用信息:
[1]王慧杰,逯家宝,周君,等.1961—2014年中国洪水-热浪复合极端事件特征的时空演变规律[J].水利水电技术(中英文),2025,56(06):13-25.DOI:10.13928/j.cnki.wrahe.2025.06.002.
基金信息:
国家自然科学基金项目(52279016); 广东省自然科学基金项目(2023A1515011760)
2024-10-28
2024-10-28
2024-10-28