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For flood hazard analysis, high-quality data and a reasonable weight assignment of the relevant factors are critical. This study conducts four rainfall fusion methods, to fuse the Tropical Rainfall Measuring Mission (TRMM) 3B42 and the observations in Dazhou City, China. Then, the random forest was applied to obtain the weights of various factors to facilitate a comprehensive flood hazard analysis under four rainfall durations. The results show that (1) the linear regression performs best out of the four fusion methods, with a correlation coefficient of 0.56; (2) the Digital Elevation Model (DEM) is the most impact factor with a weight of more than 0.2; and (3) the proposed flood analysis system performs well, as 70% of historical flood points are distributed in high and sub-high hazard areas and more than 93% of historical flood points are distributed in medium hazard areas. This study identified the flood hazard grade and distribution in Dazhou City, which could provide a valuable methodology to contribute to flood hazard analysis and disaster management with satellite rainfall. Furthermore, the results of this paper are profound for future work on the high-resolution flood risk assessment and management in Dazhou City.<\/jats:p>","DOI":"10.3390\/rs14194843","type":"journal-article","created":{"date-parts":[[2022,9,28]],"date-time":"2022-09-28T22:53:19Z","timestamp":1664405599000},"page":"4843","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Flood Hazard Analysis Based on Rainfall Fusion: A Case Study in Dazhou City, China"],"prefix":"10.3390","volume":"14","author":[{"given":"Lingxue","family":"Liu","sequence":"first","affiliation":[{"name":"Institute for Disaster Management and Reconstruction, Sichuan University, No. 122 Huanghe Middle Road Section 1, Chengdu 610207, China"},{"name":"State Key Laboratory of Hydraulics and Mountain River Engineering, College of Water Resource & Hydropower, Sichuan University, No. 24 South Section 1, Yihuan Road, Chengdu 610065, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4063-728X","authenticated-orcid":false,"given":"Li","family":"Zhou","sequence":"additional","affiliation":[{"name":"Institute for Disaster Management and Reconstruction, Sichuan University, No. 122 Huanghe Middle Road Section 1, Chengdu 610207, China"},{"name":"State Key Laboratory of Hydraulics and Mountain River Engineering, College of Water Resource & Hydropower, Sichuan University, No. 24 South Section 1, Yihuan Road, Chengdu 610065, China"}]},{"given":"Tianqi","family":"Ao","sequence":"additional","affiliation":[{"name":"Institute for Disaster Management and Reconstruction, Sichuan University, No. 122 Huanghe Middle Road Section 1, Chengdu 610207, China"},{"name":"State Key Laboratory of Hydraulics and Mountain River Engineering, College of Water Resource & Hydropower, Sichuan University, No. 24 South Section 1, Yihuan Road, Chengdu 610065, China"}]},{"given":"Xing","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Water Resources and Hydropower, Sichuan Agricultural University, Ya\u2019an 625014, China"}]},{"given":"Xiaolong","family":"Shu","sequence":"additional","affiliation":[{"name":"Sichuan Jiangyuan Engineering Consulting Co., Ltd., Chengdu 610041, China"}]}],"member":"1968","published-online":{"date-parts":[[2022,9,28]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"375","DOI":"10.1080\/07011784.2014.942114","article-title":"Floods in a changing climate: Risk management","volume":"39","author":"Blais","year":"2014","journal-title":"Can. 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