GSTDTAP

浏览/检索结果: 共3条,第1-3条 帮助

已选(0)清除 条数/页:   排序方式:
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:5/0  |  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