|
已选(0)清除
条数/页： 排序方式： |
| Perdue Applauds USDA’s 2018 Accomplishments 新闻
来源平台：United States Department of Agriculture. 发布日期：2018
作者: admin
  收藏 | 浏览/下载：3/0 | 提交时间：2019/04/16 |
| DOC geared up for busy summer with visitor behaviour campaign 新闻
来源平台：Department of Conservation. 发布日期：2018
作者: admin
收藏 | 浏览/下载：0/0 | 提交时间：2019/04/16 |
| The Withdrawal Agreement and Political Declaration: some environmental implications 新闻
来源平台：Institute for European Environmental Policy. 发布日期：2018
作者: admin
收藏 | 浏览/下载：1/0 | 提交时间：2019/04/16 |
| USDA Highlights Opportunities for Producers and Vendors 新闻
来源平台：United States Department of Agriculture. 发布日期：2018
作者: admin
收藏 | 浏览/下载：0/0 | 提交时间：2019/04/16 |
| CSOs call for urgent actions at WCPFC15 新闻
来源平台：World Wide Fund for Nature. 发布日期：2018
作者: admin
收藏 | 浏览/下载：0/0 | 提交时间：2019/04/17 |
| Aligning Finance Is the Forgotten Goal of the Paris Agreement, But It Is Vital to Successful Climate Action 新闻
来源平台：World Resources Institute. 发布日期：2018
作者: admin
收藏 | 浏览/下载：9/0 | 提交时间：2020/01/19 |
| Global carbon dioxide emissions set to hit record after rising strongly in 2018 新闻
来源平台：future earth. 发布日期：2018
作者: admin
收藏 | 浏览/下载：2/0 | 提交时间：2019/04/13 |
| Detecting and explaining why aquifers occasionally become degraded near hydraulically fractured shale gas wells 期刊论文
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2018, 115 (49) : 12349-12358
作者: Woda, Josh; Wen, Tao; Oakley, David; Yoxtheimer, David; Engelder, Terry; Castro, M. Clara; Brantley, Susan L.
收藏 | 浏览/下载：7/0 | 提交时间：2019/11/27
shale gas water quality methane noble gases hydraulic fracturing |
| PML Chief Executive receives prestigious Oceanography Award 新闻
来源平台：Plymouth Marine Laboratory. 发布日期：2018
作者: admin
收藏 | 浏览/下载：0/0 | 提交时间：2019/04/16 |
| Predicting geogenic Arsenic in Drinking Water Wells in Glacial Aquifers, North-Central USA: Accounting for Depth-Dependent Features 期刊论文
WATER RESOURCES RESEARCH, 2018, 54 (12) : 10172-10187
作者: Erickson, M. L.; Elliott, S. M.; Christenson, C. A.; Krall, A. L.
收藏 | 浏览/下载：9/0 | 提交时间：2019/04/09
groundwater arsenic probability model geochemistry machine learning domestic well |
