Based on the precipitation data of 26 automatic stations during 2014-2019 in the Xiaoma river basin and 7 national meteorological stations during 1980-2019 around the basin, the area rainfall under different return periods in the basin was calculated by using Tyson polygon method and MuDFiT software. The submerged areas under different return periods were simulated by Flood Area model and the inundation range map have been drawn on the same time. Based on this composited disasterbearing data, the damage information of various disasterbearing bodies can be obtained. The heavy rainfall process from 19 to 20 July 2016 was selected to verify the risk distribution characteristics of onceinacentury rainstorm and flood disaster, the results were basically consistent with the simulated flooding range. The study showed that with the recurrence period and submergence depth increasing, the deeper submergence area extended to the middle and lower reaches of the basin and the lower elevation. The forest land was seriously damaged with the highest damage rate when the submerged depth was between 0.1 m and 0.3 m or more than 1.0 m, when the submerged depth was less than 0.1 m, the impact on forest land was smaller and the damage rate was the lowest. Other disasterbearing bodies had the highest damage rate under 0.1 m submergence depth, the damage rate was in the middle level when the submerged depth was more than 1.0 m, when the submerged depth was from 0.5 m to 1.0 m, the damage rate was lowest.

Based on daily precipitation data of 17 national ground meteorological observation stations in Shijiazhuang since their establishment to 2019, the temporal and spatial characteristics of snowstorm days were analyzed, and the temporal variation characteristics of snowstorm days at 5 representative stations with different geographical environments were further analyzed by using Morlet wavelet analysis and sliding t-test methods. The results are as follows: (1) The snowstorm days decreased gradually from west to east in Shijiazhuang, and there were more snowstorm days in mountain area than in plain, and the urban area of Shijiazhuang was in a high value zone of snowstorm days. (2) The starting date of snowstorm in Shijiazhuang was October 31 at the earliest, and the ending date was April 19 at the latest. (3) From 1972 to 2019, there were 42 days of snowstorm at 17 stations, and greater than or equal to 3, 7 and 10 stations occurring snowstorm accounted for 57.1%, 35.7% and 26.2%, respectively. The snowstorm occurring in the whole region was only 4 days and accounted for 9.5%. (4) The percentage of snowstorm days since 2000 was the largest, and during 2005-2013, snowstorm occurred frequently. (5) The quasi-period and the first major period of snowstorm days in the whole time domain were both more than 10 years at each station, and it was in the period of less snowstorm after 2014 at five representative stations. (6) The time series of snowstorm days at 4 representative stations were abrupt. (7) The spatial distribution of maximum and average precipitation on snowstorm days in Shijiazhuang showed larger in mountain area than in the plain, and the large value center was in the urban area of Shijiazhuang.