[1] Almazroui, M., S. Saeed, F. Saeed, et al., 2020: Projections of precipitation and temperature over the South Asian countries in CMIP6. Earth Syst. Environ., 4, 297–320. doi: 10.1007/s41748-020-00157-7
[2] Bao, H. J., L. N. Zhao, Y. He, et al., 2011: Coupling ensemble weather predictions based on TIGGE database with Grid-Xinanjiang model for flood forecast. Adv. Geosci., 29, 61–67. doi: 10.5194/adgeo-29-61-2011
[3] Bao, H. J., G. Gao, F. W. Xu, et al., 2018: Meteorological risk warning levels of small and medium-sized rivers flood induced by torrential rain (QX/T 451–2018). China Meteorological Press, 16 pp. (in Chinese)
[4] Carrino, L., 2017: The role of normalisation in building composite indicators. Rationale and consequences of different strategies, applied to social inclusion. Complexity in Society: From Indicators Construction to Their Synthesis, F, Maggino, Ed., Springer, Cham, doi: 10.1007/978-3-319-60595-1_11.
[5] Chen, H. Y., S. F. Yang, J. S. Pan, et al., 2017: Assessment technical specification for the risk level of rainstorm processes (DB33/T 2025–2017). Quality and Technology Supervision of Zhejiang Province, 8 pp.
[6] Chen, X. Y., X. K. Zou, and Q. Zhang, 2017: Grades of rainstorm disaster (GB/T 33680–2017) . Standards Press of China, 8 pp. (in Chinese)
[7] Chou, J. S., K. H. Yang, M. Y. Cheng, et al., 2013: Identification and assessment of heavy rainfall-induced disaster potentials in Taipei City. Nat. Hazards, 66, 167–190. doi: 10.1007/s11069-012-0511-z
[8] Deng, P. X., M. Y. Zhang, J. P. Bing, et al., 2019: Evaluation of the GSMaP_Gauge products using rain gauge observations and SWAT model in the Upper Hanjiang River Basin. Atmos. Res., 219, 153–165. doi: 10.1016/j.atmosres.2018.12.032
[9] Freeze, R. A., and R. L. Harlan, 1969: Blueprint for a physically-based, digitally-simulated hydrologic response model. J. Hydrol., 9, 237–258. doi: 10.1016/0022-1694(69)90020-1
[10] Fu, X., Y. D. Mei, and Z. H. Xiao, 2016: Assessing flood risk using reservoir flood control rules. J. Earth Sci., 27, 68–73. doi: 10.1007/s12583-016-0615-6
[11] Gao, Y., H. Xu, and G. Liu, 2019: Evaluation of the GSMaP estimates on monitoring extreme precipitation events. Remote Sens. Technol. Appl., 34, 1121–1132. (in Chinese) doi: 10.11873/j.issn.1004-0323.2019.5.1121
[12] Ghosh, T., R. L. Powell, C. D. Elvidge, et al., 2010: Shedding light on the global distribution of economic activity. The Open Geography Journal, 3, 148–161.
[13] Hao, L., X. Y. Zhang, and S. D. Liu, 2012: Risk assessment to China’s agricultural drought disaster in county unit. Nat. Hazards, 61, 785–801. doi: 10.1007/s11069-011-0066-4
[14] Hastings, D. A., and P. K. Dunbar, 1999: Global Land One-Kilometer Base Elevation (GLOBE) Digital Elevation Model, Documentation, Volume 1.0. Key to Geophysical Records Documentation No. 34, National Oceanic and Atmospheric Administration, National Geophysical Data Center, Boulder, Colorado, 147 pp.
[15] Hou, A. Y., R. K. Kakar, S. Neeck, et al., 2014: The global precipitation measurement mission. Bull. Amer. Meteor. Soc., 95, 701–722. doi: 10.1175/BAMS-D-13-00164.1
[16] Jin, J. L., Y. M. Wei, L. L. Zou, et al., 2012: Risk evaluation of China’s natural disaster systems: An approach based on triangular fuzzy numbers and stochastic simulation. Nat. Hazards, 62, 129–139. doi: 10.1007/s11069-011-0005-4
[17] Kundzewicz, Z. W., I. Pińskwar, and G. R. Brakenridge, 2013: Large floods in Europe, 1985–2009. Hydrol. Sci. J., 58, 1–7. doi: 10.1080/02626667.2012.745082
[18] Li, J. S., and R. Z. Xu, 1995: A rainstorm and flood disaster grading division basis and measures for disaster reduction. Disaster Reduction in China, 5, 37–39. (in Chinese)
[19] Liu, Y. H., 1994: Discussion on the disaster indicators and regional characteristics of the natural disasters. Disaster Reduction in China, 4, 29–34. (in Chinese)
[20] Ren, L. L., C. H. Li, and M. R. Wang, 2003: Application of radar-measured rain data in hydrological processes modeling during the intensified observation period of HUBEX. Adv. Atmos. Sci., 20, 205–211. doi: 10.1007/s00376-003-0005-8
[21] Singh, A. K., V. Singh, K. K. Singh, et al., 2018: A case study: Heavy rainfall event comparison between daily satellite rainfall estimation products with IMD gridded rainfall over peninsular India during 2015 Winter Monsoon. J. Indian Soc. Remote Sens., 46, 927–935. doi: 10.1007/s12524-018-0751-9
[22] Skofronick-Jackson, G., W. A. Petersen, W. Berg, et al., 2017: The global precipitation measurement (GPM) mission for science and society. Bull. Amer. Meteor. Soc., 98, 1679–1695. doi: 10.1175/BAMS-D-15-00306.1
[23] Stevens, F. R., A. E. Gaughan, C. Linard, et al., 2015: Disaggregating census data for population mapping using random forests with remotely-sensed and ancillary data. PLoS One, 10, e0107042. doi: 10.1371/journal.pone.0107042
[24] Valipour, M., S. M. Bateni, and C. Jun, 2021: Global surface temperature: A new insight. Climate, 9, 81. doi: 10.3390/cli9050081
[25] Wang, B., C. G. Cui, T. Peng, et al., 2007: Advance and the status of the research on rainstorm disaster assessment and regionalization. Torrential Rain and Disasters, 26, 281–286. (in Chinese) doi: 10.3969/j.issn.1004-9045.2007.03.017
[26] Wang, J. Z., Y. Q. Yang, X. D. Xu, et al., 2003: A monitoring study of the 1998 rainstorm along the Yangtze River of China by using TIPEX data. Adv. Atmos. Sci., 20, 425–436. doi: 10.1007/BF02690800
[27] Wu, H., R. F. Adler, Y. Hong, et al., 2012: Evaluation of global flood detection using satellite-based rainfall and a hydrologic model. J. Hydrometeor., 13, 1268–1284. doi: 10.1175/JHM-D-11-087.1
[28] Wu, H., R. F. Adler, Y. D. Tian, et al., 2014: Real-time global flood estimation using satellite-based precipitation and a coupled land surface and routing model. Water Resour. Res., 50, 2693–2717. doi: 10.1002/2013WR014710
[29] Yao, J. Y., H. R. Zhu, J. Y. Nan, et al., 2012: Analysis of flood and disaster forecast in Heilongjiang Province based on grey theory. J. Catastrophol., 27, 60–63. (in Chinese)
[30] Yuan, W. L., L. Fu, Q. Y. Gao, et al., 2019: Comprehensive assessment and rechecking of rainfall threshold for flash floods based on the disaster information. Water Resources Management, 33, 3547–3562. doi: 10.1007/s11269-019-02321-9
[31] Zhai, X. Y., L. Guo, R. H. Liu, et al., 2018: Rainfall threshold determination for flash flood warning in mountainous catchments with consideration of antecedent soil moisture and rainfall pattern. Nat. Hazards, 94, 605–625. doi: 10.1007/s11069-018-3404-y
[32] Zhao, Y., Z. W. Gong, W. H. Wang, et al., 2014: The comprehensive risk evaluation on rainstorm and flood disaster losses in China mainland from 2004 to 2009: Based on the triangular gray correlation theory. Nat. Hazards, 71, 1001–1016. doi: 10.1007/s11069-013-0698-7