Based on the daily precipitation data of 27 meteorological stations in Shaanxi section of Hanjiang River Basin from 1971 to 2018, six precipitation indexes including annual precipitation, precipitation intensity, maximum daily precipitation, annual precipitation days, moderate rainfall days and heavy rainfall days were selected to analyze the spatial and temporal characteristics of precipitation in this area using linear trend, wavelet analysis, moving average, IDW spatial interpolation and Mann-Kendall abrupt test methods. The results showed that the precipitation intensity in Shaanxi section of Hanjiang River Basin presented a slow increasing trend, whereas the other five precipitation indexes presented a slow decreasing trend, but all the changes were insignificant. There were abrupt points in all the indexes except annual precipitation days, showing a remarkable decreasing trend after 1995. Annual precipitation had a secondary cycle of 7 a and a main cycle of about 27 a consisted of three alternative dry-wet cycles, with the occurrence of abrupt points in 1983 and 2000. The precipitation cycle in the flood season was consistent with that in non-flood season, but the non-flood period had two secondary cycles of 4 a, 16 a and a main cycle of 28 a. The spatial distribution of precipitation showed a progressive increasing trend from north to south. Except for the high value center of annual precipitation days in Ningqiang County, that of the other five precipitation indexes were all in Zhenba County, whereas the low value center of all the indexes were in Shang County apart from the precipitation intensity which was in Taibai County. The comparison analysis showed that the values of annual precipitation, precipitation intensity and annual precipitation days from 1971-2018 were only second to the maximum values. Extreme precipitation events are likely to happen more frequently in the future, resulting in water disasters which will affect the healthy development of water ecology, water environment and water security in severe cases.