Evaluation of statistical and rainfall-runoff models for predicting historical daily streamflow time series in the Des Moines and Iowa River watersheds

GSTDTAP > 地球科学

DOI	10.3133/sir20155089
报告编号	2015-5089
	Evaluation of statistical and rainfall-runoff models for predicting historical daily streamflow time series in the Des Moines and Iowa River watersheds
	Farmer, William H. wfarmer@usgs.gov; Knight, Rodney R. rrknight@usgs.gov; Eash, David A. daeash@usgs.gov; Kasey J. Hutchinson; Linhart, S. Mike slinhart@usgs.gov; Christiansen, Daniel E. dechrist@usgs.gov; Archfield, Stacey A. sarch@usgs.gov; Over, Thomas
	2015
出版年	2015
页数	46
语种	英语
国家	美国
出版者	U.S. Geological Survey
领域	资源环境;地球科学
英文摘要	Daily records of streamflow are essential to understanding hydrologic systems and managing the interactions between human and natural systems. Many watersheds and locations lack streamgages to provide accurate and reliable records of daily streamflow.
URL	查看原文
来源平台	US Geological Survey (USGS)
引用统计
文献类型	科技报告
条目标识符	http://119.78.100.173/C666/handle/2XK7JSWQ/9144
专题	地球科学资源环境科学
推荐引用方式 GB/T 7714	Farmer, William H. wfarmer@usgs.gov,Knight, Rodney R. rrknight@usgs.gov,Eash, David A. daeash@usgs.gov,et al. Evaluation of statistical and rainfall-runoff models for predicting historical daily streamflow time series in the Des Moines and Iowa River watersheds:U.S. Geological Survey,2015.