School of Land Science and Technology, China University of
Geosciences, Beijing 100083, China
State Key Laboratory of Urban and Regional Ecology, Research Center
for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation, Chinese Academy of
Sciences and Ministry of Water Resources, Yang ling, Shaanxi 712100, China
Key Laboratory of Land Consolidation and Rehabilitation, Ministry of Natural Resources, Beijing 100035, China
Guangyao Gao
State Key Laboratory of Urban and Regional Ecology, Research Center
for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
Bojie Fu
State Key Laboratory of Urban and Regional Ecology, Research Center
for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
Cong Wang
State Key Laboratory of Urban and Regional Ecology, Research Center
for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
Department of Hydrology and Atmospheric Sciences, The University of
Arizona, Tucson, AZ 85721, USA
Xiaoping Zhang
State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation, Chinese Academy of
Sciences and Ministry of Water Resources, Yang ling, Shaanxi 712100, China
Rui Li
State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation, Chinese Academy of
Sciences and Ministry of Water Resources, Yang ling, Shaanxi 712100, China
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Total article views: 4,762 (including HTML, PDF, and XML)
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Total article views: 3,916 (including HTML, PDF, and XML)
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Total article views: 846 (including HTML, PDF, and XML)
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We proposed an approach that integrates universal multifractals and a segmentation algorithm to precisely identify extreme precipitation (EP) and assess spatiotemporal EP variation over the Loess Plateau, using daily data. Our results explain how EP contributes to the widely distributed severe natural hazards. These findings are of great significance for ecological management in the Loess Plateau. Our approach is also helpful for spatiotemporal EP assessment at the regional scale.
We proposed an approach that integrates universal multifractals and a segmentation algorithm to...
