Drought length properties for periodic-stochastic hydrologic data
Author:
Affiliation:
1. Department of Civil and Environmental Engineering; University of Catania; Catania Italy
2. Department of Civil Engineering; Colorado State University; Fort Collins Colorado USA
Publisher
American Geophysical Union (AGU)
Subject
Water Science and Technology
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1029/2002WR001750/fullpdf
Reference33 articles.
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3. Daily precipitation modeling by discrete autoregressive moving average processes;Chang;Water Resour. Res.,1984
4. Drought occurrence probabilities and risk of dependent hydrologic processes;Chung;J. Hydrol. Eng.,2000
5. Impact of streamflow persistence on hydrologic design;Douglas;J. Hydrol. Eng.,2002
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