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Discharge of scrubber water into the Baltic Sea is responsible for hundreds of millions in costs 科技资讯
2024
收藏  |  浏览/下载:3/0  |  提交时间:2024/05/08
Renewables 2021 Global Status Report 科技报告
, 2021
作者:  [unavailable]
Adobe PDF(13277Kb)  |  收藏  |  浏览/下载:32/2  |  提交时间:2021/11/24
New Geology articles published online ahead of print in April 科技资讯
2021
收藏  |  浏览/下载:32/0  |  提交时间:2021/04/30
Assessment of Technologies for Improving Light-Duty Vehicle Fuel Economy 2025-2035 科技报告
, 2021
作者:  [unavailable]
Adobe PDF(13922Kb)  |  收藏  |  浏览/下载:28/4  |  提交时间:2021/11/24
GSA Bulletin articles published ahead of print in January 科技资讯
2021
收藏  |  浏览/下载:19/0  |  提交时间:2021/01/30
Biogeographical trends in phytoplankton community size structure using adaptive sentinel 3-OLCI chlorophyll a and spectral empirical orthogonal functions in the estuarine-shelf waters of the northern Gulf of Mexico 期刊论文
Remote Sensing of Environment, 2021, 卷号: 252
作者:  Liu B.;  D'Sa E.J.;  Maiti K.;  Rivera-Monroy V.H.;  Xue Z.
收藏  |  浏览/下载:9/0  |  提交时间:2021/05/24
Renewables 2020 Global Status Report 科技报告
, 2020
作者:  [unavailable]
Adobe PDF(14385Kb)  |  收藏  |  浏览/下载:13/0  |  提交时间:2021/11/24
A radar for plastic: High-resolution map of 1 kilometer grids to track plastic emissions in seas 科技资讯
2020
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Climate Change Impacts and Adaptation for Transport Networks and Nodes 科技报告
, 2020
作者:  [unavailable]
Adobe PDF(16508Kb)  |  收藏  |  浏览/下载:4/0  |  提交时间:2021/11/24
Identifying relevant hydrological and catchment properties in active subspaces: An inference study of a lumped karst aquifer model 期刊论文
, 2020, 卷号: 135
作者:  Bittner D.;  Parente M.T.;  Mattis S.;  Wohlmuth B.;  Chiogna G.
收藏  |  浏览/下载:27/0  |  提交时间:2020/07/28
Aquifers  Catchments  Discharge (fluid mechanics)  Hydrogeology  Landforms  Runoff  Uncertainty analysis  Active subspaces  Catchment characteristics  Catchment properties  Computational performance  Dimension reduction  Hydrological properties  Karst hydrology  Rainfall-discharge  Sensitivity analysis  aquifer  catchment  discharge  geometry  hydrological modeling  karst hydrology  machine learning  sensitivity analysis