[1] Coumou D, Rahmstorf S.A decade of weather extremes[J]. Nature Climate Change, 2012, 2(7): 491-496. DOI: 10.1038/nclimate1452. [2] United Nations Office for Disaster Risk Reduction. Global assessment report on disaster risk reduction[DB/OL].[2024-05-15] . https://gar.undrr.org. [3] Wilhite D A.Drought as a natural hazard: Concepts and definitions[M]//Drought: A global assessment, Vol. I. London: Routledge, 2000: 3-18. [4] Zscheischler J, Seneviratne S I.Dependence of drivers affects risks associated with compound events[J]. Science Advances, 2017, 3(6): e1700263. DOI: 10.1126/sciadv.1700263. [5] Barriopedro D, Fischer E M, Luterbacher J, et al.The hot summer of 2010: Redrawing the temperature record map of Europe[J]. Science, 2011, 332(6026): 220-224. DOI: 10.1126/science.1201224. [6] 秦大河. 中国极端天气气候事件和灾害风险管理与适应国家评估报告[M]. 北京:科学出版社, 2015. [7] Petherick A.Drought in China[J]. Nature Climate Change, 2011, 1(6): 293. DOI: 10.1038/nclimate1215. [8] Burke E J, Brown S J, Christidis N.Modeling the recent evolution of global drought and projections for the twenty-first century with the Hadley centre climate model[J]. Journal of Hydrometeorology, 2006, 7(5): 1113-1125. DOI: 10.1175/jmh544.1. [9] Mckee T, Doesken N, Kleist J.The relationship of drought frequency and duration to time scales[C]//Proceedings of the 8th conference on applied climatology. American Meteorological Society, 1993: 179-184. [10] Zscheischler J, Michalak A M, Schwalm C, et al.Impact of large-scale climate extremes on biospheric carbon fluxes: An intercomparison based on MsTMIP data[J]. Global Biogeochemical Cycles, 2014, 28(6): 585-600. DOI: 10.1002/2014GB004826. [11] Hao Z C, Hao F H, Singh V P, et al.Changes in the severity of compound drought and hot extremes over global land areas[J]. Environmental Research Letters, 2018, 13(12): 124022. DOI: 10.1088/1748-9326/aaee96. [12] Hao Z C, Hao F H, Singh V P, et al.Statistical prediction of the severity of compound dry-hot events based on El Niño-Southern Oscillation[J]. Journal of Hydrology, 2019, 572: 243-250. DOI: 10.1016/j.jhydrol.2019.03.001. [13] Ali M, Deo R C, Maraseni T, et al.Improving SPI-derived drought forecasts incorporating synoptic-scale climate indices in multi-phase multivariate empirical mode decomposition model hybridized with simulated annealing and kernel ridge regression algorithms[J]. Journal of Hydrology, 2019, 576: 164-184. DOI: 10.1016/j.jhydrol.2019.06.032. [14] 赵晶,姜彤,苏布达,等. 标准化方法在干旱损失预估中的应用——以华北地区为例[J]. 江苏农业科学, 2018, 46(18):302-309. DOI: 10.15889/j.issn.1002-1302.2018.18.072. [15] Pielke R A Jr, Gratz J, Landsea C W, et al. Normalized hurricane damage in the United States: 1900-2005[J]. Natural Hazards Review, 2008, 9(1): 29-42. DOI: 10.1061/(asce)1527-6988(2008)9:1(29). [16] Pielke R A Jr, Rubiera J, Landsea C, et al. Hurricane vulnerability in Latin America and the Caribbean: normalized damage and loss potentials[J]. Natural Hazards Review, 2003, 4(3): 101-114. DOI: 10.1061/(asce)1527-6988(2003)4:3(101). [17] Weinkle J, Landsea C, Collins D, et al.Normalized hurricane damage in the continental United States 1900-2017[J]. Nature Sustainability, 2018, 1: 808-813. DOI: 10.1038/s41893-018-0165-2. [18] Neumayer E, Barthel F.Normalizing economic loss from natural disasters: A global analysis[J]. Global Environmental Change, 2011, 21(1): 13-24. DOI: 10.1016/j.gloenvcha.2010.10.004. [19] Barredo J I.Normalised flood losses in Europe: 1970-2006[J]. Natural Hazards and Earth System Sciences, 2009, 9(1): 97-104. DOI: 10.5194/nhess-9-97-2009. [20] Wang Y J, Wen S S, Li X C, et al.Spatiotemporal distributions of influential tropical cyclones and associated economic losses in China in 1984-2015[J]. Natural Hazards, 2016, 84(3):2009-2030. DOI: 10.1007/s11069-016-2531-6. [21] Zhang Q, Wu L G, Liu Q F.Tropical cyclone damages in China 1983-2006[J]. Bulletin of the American Meteorological Society, 2009, 90(4): 489-496. DOI: 10.1175/2008bams2631.1. [22] 温姗姗,翟建青,Thomas F, 等. 1984—2014年影响中国热带气旋的经济损失标准化及其变化特征[J]. 热带气象学报, 2017, 33(4): 478-487. DOI: 10.16032/j.issn.1004-4965.2017.04.005. [23] Wirtz A, Kron W, Löw P, et al.The need for data: Natural disasters and the challenges of database management[J]. Natural Hazards, 2014, 70: 135-157. DOI: 10.1007/s11069-012-0312-4. [24] Centre for Research on the Epidemiology of Disasters. Emergency Events Database[DB/OL].[2024-6-26] . https://www.emdat.be. [25] Munich Re.Munich Re NatCatSERVICE Database[DB/OL]. [2024-6-26] .https://www.munichre.com/en.html. [26] 中国气象局. 中国气象灾害年鉴2021[M]. 北京: 气象出版社, 2022. [27] Kron W, Steuer M, Löw P, et al.How to deal properly with a natural catastrophe database-analysis of flood losses[J]. Natural Hazards and Earth System Sciences, 2012, 12: 535-550. DOI: 10.5194/nhess-12-535-2012. [28] Wang S M, Xu T H, Nie W F, et al.Evaluation of precipitable water vapor from five reanalysis products with ground-based GNSS observations[J]. Remote Sensing, 2020, 12(11): 1817. DOI: 10.3390/rs12111817. [29] 国家统计局. 中国统计年鉴[M]. 北京: 中国统计出版社, 2022. [30] Vicente-Serrano S M, Beguería S, López-Moreno J I. A multiscalar drought index sensitive to global warming: The standardized precipitation evapotranspiration index[J]. Journal of Climate, 2010, 23(7): 1696-1718. DOI: 10.1175/2009JCLI2909.1. [31] Yuan W P, Zhou G S.Comparison between standardized precipitation index and z-index in China[J]. Chinese Journal of Plant Ecology, 2004, 28(4): 523-529. DOI: 10.17521/cjpe.2004.0071. [32] Mishra A K, Singh V P.A review of drought concepts[J]. Journal of Hydrology, 2010, 391(1-2), 202-216. DOI: 10.1016/j.jhydrol.2010.07.012. [33] 姜雨彤,侯爱中,郝增超,等. 长江流域2022年高温干旱事件演变及历史对比[J]. 水力发电学报,2023, 42(8): 1-9. DOI: 10.11660/slfdxb.20230801. [34] Wu X Y, Hao Z C, Zhang X, et al.Evaluation of severity changes of compound dry and hot events in China based on a multivariate multi-index approach[J]. Journal of Hydrology, 2020, 583: 124580. DOI: 10.1016/j.jhydrol.2020.124580. [35] Gringorten I I.A plotting rule for extreme probability paper[J]. Journal of Geophysical Research, 1963, 68(3): 813-814. DOI: 10.1029/JZ068i003p00813. [36] 国家质量监督检验检疫总局, 中国国家标准化管理委员会. 气象干旱等级: GB/T 20481-2017[S]. 北京: 中国标准出版社, 2017. [37] Schultze C L.The consumer price index: conceptual issues and practical suggestions[J]. Journal of Economic Perspectives, 2003, 17(1): 3-22. DOI: 10.1257/089533003321164921. [38] 严中伟,华丽娟,钱诚, 等. 气候统计方法和应用[M]. 北京: 科学出版社, 2024. [39] Schulz M, Mudelsee M.REDFIT: Estimating red-noise spectra directly from unevenly spaced paleoclimatic time series[J]. Computers & Geosciences, 2002, 28(3): 421-426. DOI: 10.1016/S0098-3004(01)00044-9. [40] Shen H W, Tabios G Q.Drought analysis with reservoirs using tree-ring reconstructed flows[J]. Journal of Hydraulic Engineering, 1995, 121(5): 413-421. DOI: 10.1061/(ASCE)0733-9429(1995)121:5(413). [41] Liu Z C, Zhou W, Wang X.Extreme meteorological drought events over China(1951-2022): Migration patterns, diversity of temperature extremes, and decadal variations[J]. Advances in Atmospheric Sciences, 2024, 41(12): 2313-2336. DOI: 10.1007/s00376-024-4004-2. [42] 廖国清,朱烨,吴光东,等. 中国近60年干旱热浪演变趋势及并发特征分析[J]. 长江科学院院报,2023, 40(2): 169-176. DOI: 10.11988/ckyyb.20220754. [43] Seneviratne S I, Nicholls N, Easterling D, et al.Changes in climate extremes and their impacts on the natural physical environment[M]//Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation. Cambridge: Cambridge University Press, 2012: 109-230. DOI: 10.1017/CBO9781139177245.006. [44] Yang Q, Ma Z G, Fan X G, et al.Decadal modulation of precipitation patterns over Eastern China by sea surface temperature anomalies[J]. Journal of Climate, 2017, 30(17): 7017-7033. DOI: 10.1175/JCLI-D-16-0793.1. [45] Hergarten S.Aspects of risk assessment in power-law distributed natural hazards[J]. Natural Hazards and Earth System Sciences, 2004, 4(2): 309-313. DOI: 10.5194/nhess-4-309-2004. [46] Choi O, Fisher A.The impacts of socioeconomic development and climate change on severe weather catastrophe losses: Mid-Atlantic Region (MAR) and the U.S[J]. Climatic Change, 2003, 58(1): 149-170. DOI: 10.1023/A:1023459216609. [47] Nordhaus W D.The economics of hurricanes and implications of global warming[J]. Climate Change Economics, 2010, 1(1): 1-20. DOI: 10.1142/S2010007810000054. [48] Schmidt S, Kemfert C, Höppe P.The impact of socio-economics and climate change on tropical cyclone losses in the USA[J]. Regional Environmental Change, 2010, 10: 13-26. DOI: 10.1007/s10113-008-0082-4. |