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Neural networks facilitate optimization in the search for new materials 科技资讯
2020
收藏  |  浏览/下载：1/0  |  提交时间：2020/03/27
Adaptive management of flows from R.L. Harris Dam (Tallapoosa River, Alabama)—Stakeholder process and use of biological monitoring data for decision making 科技报告
报告编号: 70202671, 页数: 108, 2019
作者:  Irwin, Elise R. eirwin@usgs.gov;  Freeman, Mary C. mcfreeman@usgs.gov;  Peterson, James james_peterson@usgs.gov;  Kennedy, Kathryn D.M.;  Lloyd, M. Clint;  Ouellette Coffman, Kristie M.;  Kosnicki, Ely;  Hess, Tom
Adobe PDF(5960Kb)  |  收藏  |  浏览/下载：81/21  |  提交时间：2019/11/06
Santa Barbara and Foothill groundwater basins Geohydrology and optimal water resources management—Developed using density dependent solute transport and optimization models 科技报告
报告编号: 70196535, 页数: 402, 2018
作者:  Paulinski, Scott R.;  Nishikawa, Tracy tnish@usgs.gov;  Cromwell, Geoffrey gcromwell@usgs.gov;  Boyce, Scott E. seboyce@usgs.gov;  Stanko, Zachary P.
Adobe PDF(75121Kb)  |  收藏  |  浏览/下载：52/35  |  提交时间：2019/11/06
Quantifying seepage using heat as a tracer in selected irrigation canals, Walker River Basin, Nevada, 2012 and 2013 科技报告
报告编号: 70178266, , 2016
作者:  Naranjo, Ramon C. rnaranjo@usgs.gov;  Smith, David W. dwsmith@usgs.gov
Adobe PDF(11371Kb)  |  收藏  |  浏览/下载：2/0  |  提交时间：2019/11/06