Bivariate Drought Analysis Using Streamflow Reconstruction with Tree Ring Indices in the Sacramento Basin, California, USA

dc.creator	Kwak, Jaewon
dc.creator	Kim, Soojun
dc.creator	Kim, Gilho
dc.creator	Singh, Vijay P.
dc.creator	Park, Jungsool
dc.creator	Kim, Hung Soo
dc.date.accessioned	2017-10-18T16:35:03Z
dc.date.available	2017-10-18T16:35:03Z
dc.date.issued	2016-03-30
dc.identifier.uri	https://hdl.handle.net/1969.1/164637
dc.description.abstract	Long-term streamflow data are vital for analysis of hydrological droughts. Using an artificial neural network (ANN) model and nine tree-ring indices, this study reconstructed the annual streamflow of the Sacramento River for the period from 1560 to 1871. Using the reconstructed streamflow data, the copula method was used for bivariate drought analysis, deriving a hydrological drought return period plot for the Sacramento River basin. Results showed strong correlation among drought characteristics, and the drought with a 20-year return period (17.2 million acre-feet (MAF) per year) in the Sacramento River basin could be considered a critical level of drought for water shortages.	en
dc.language.iso	en_US
dc.subject	tree ring	en
dc.subject	hyrological drought	en
dc.subject	artificial neural network	en
dc.subject	copula method	en
dc.title	Bivariate Drought Analysis Using Streamflow Reconstruction with Tree Ring Indices in the Sacramento Basin, California, USA	en
dc.type	Article	en
local.department	Biological and Agricultural Engineering (College of Agriculture and Life Sciences)	en
dc.identifier.doi	10.3390/w8040122