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Global Changes in 20‐year, 50‐year and 100‐year River Floods 期刊论文
Geophysical Research Letters, 2021
作者:  L. Slater;  G. Villarini;  S. Archfield;  D. Faulkner;  R. Lamb;  A. Khouakhi;  J. Yin
收藏  |  浏览/下载：5/0  |  提交时间：2021/03/17
Evaluation of statistical and rainfall-runoff models for predicting historical daily streamflow time series in the Des Moines and Iowa River watersheds 科技报告
来源：US Geological Survey (USGS). 出版年： 2015
作者:  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
收藏  |  浏览/下载：8/0  |  提交时间：2019/04/05
Comparison between two statistically based methods, and two physically based models developed to compute daily mean streamflow at ungaged locations in the Cedar River Basin, Iowa 科技报告
来源：US Geological Survey (USGS). 出版年： 2013
作者:  Linhart, S. Mike;  Nania, Jon F. jfnania@usgs.gov;  Christiansen, Daniel E. dechrist@usgs.gov;  Hutchinson, Kasey J. khutchin@usgs.gov;  Sanders, Curtis L. Jr.;  Archfield, Stacey A. sarch@usgs.gov
收藏  |  浏览/下载：6/0  |  提交时间：2019/04/05
Computing daily mean streamflow at ungaged locations in Iowa by using the Flow Anywhere and Flow Duration Curve Transfer statistical methods 科技报告
来源：US Geological Survey (USGS). 出版年： 2012
作者:  Linhart, S. Mike;  Nania, Jon F. jfnania@usgs.gov;  Sanders, Curtis L. Jr.;  Archfield, Stacey A. sarch@usgs.gov
收藏  |  浏览/下载：4/0  |  提交时间：2019/04/05