Distribution estimates of hourly intense precipitation derived from radar and rain gauges by the local classified average bias adjusted and local average bias adjusted algorithms are examined for an extreme rainfall event that occurred in 21-22 July 2012 in Rongchang, Chongqing. The results show that the local classified average bias adjusted algorithm is better in estimating hourly intense rainfall than the local average bias adjusted algorithm. The accuracy of rainfall estimation is related to the local adjusted radius. The analyses of rainfall distribution and disaster situation show that the combination of intense rainfall distribution and river networks is significant for meteorological flood risk forecast of intermediate rivers.