Global rainfall erosivity:Observation,attribution,and projectionOA
Global rainfall erosivity:Observation,attribution,and projection
Yiming Tong;Yu Chen;Yanping Qu;Virgílio A.Bento;Hongquan Song;Han Qiu;Wei Shui;Jingyu Zeng;Qianfeng Wang
College of Environment & Safety Engineering,Fuzhou University,Fuzhou,350116,ChinaSchool of Public Administration and Policy,Renmin University of China,Beijing,100872,ChinaResearch Center on Flood and Drought Disaster Reduction,China Institute of Water Resources and Hydropower Research,Beijing,100038,ChinaUniversity of Lisbon,Faculty of Sciences,Instituto Dom Luiz,Lisbon,PortugalCollege of Geography and Environmental Science,Henan University,475004,Kaifeng,ChinaDepartment of Sustainable Earth System Sciences,University of Texas at Dallas,Richardson,TX,USACollege of Environment & Safety Engineering,Fuzhou University,Fuzhou,350116,ChinaCollege of Environment & Safety Engineering,Fuzhou University,Fuzhou,350116,ChinaCollege of Environment & Safety Engineering,Fuzhou University,Fuzhou,350116,China
Rainfall erosivityOptimal fingerprinting methodDetection and attributionSpatiotemporal patternsFuture projections
Rainfall erosivityOptimal fingerprinting methodDetection and attributionSpatiotemporal patternsFuture projections
《国际水土保持研究（英文）》 2026 (2)
71-83,13
This work was supported by the Fujian Provincial Natural Re-sources Science and Technology Innovation Plan Funding[grant number KY-030000-04-2025-017],the National Key Research and Development Program of China[grant number 2023YFC3006604]and the Natural Science Foundation of Fujian Province[grant number 2021J01627].
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