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| Simulation of Gravitational Instability and Thermo-Solutal Convection During the Dissolution of CO2 in Deep Storage Reservoirs 期刊论文 WATER RESOURCES RESEARCH, 2020, 56 (1) 作者: Singh, Mrityunjay; Chaudhuri, Abhijit; Stauffer, Philip H.; Pawar, Rajesh J.
![](/C666/themes/default/image/downing1.png) 收藏  |  浏览/下载:7/0  |  提交时间:2020/07/02 |
| Intermediate-Scale Experimental Study to Improve Fundamental Understanding of Attenuation Capacity for Leaking CO2 in Heterogeneous Shallow Aquifers 期刊论文 WATER RESOURCES RESEARCH, 2017, 53 (12) 作者: Plampin, Michael R.; Porter, Mark L.; Pawar, Rajesh J.; Illangasekare, Tissa H.
![](/C666/themes/default/image/downing1.png) 收藏  |  浏览/下载:8/0  |  提交时间:2019/04/09 |
| Modeling Radionuclide Transport in Fractured Rock forNext Generation Nuclear Waste RepositoryPerformance Assessments 科技报告 来源:US Department of Energy (DOE). 出版年: 2015 作者: Harp, Dylan Robert; Pawar, Rajesh J.
![](/C666/themes/default/image/downing1.png) 收藏  |  浏览/下载:4/0  |  提交时间:2019/04/05 Planetary Sciences |
| Quarterly Report for LANL Activities: FY12-Q3 National Risk Assessment Partnership (NRAP): Industrial Carbon Capture Program 科技报告 来源:US Department of Energy (DOE). 出版年: 2012 作者: Pawar, Rajesh J. [Los Alamos National Laboratory]
![](/C666/themes/default/image/downing1.png) 收藏  |  浏览/下载:4/0  |  提交时间:2019/04/05 |
| Quarterly Report for LANL Activities: FY12-Q2 National Risk Assessment Partnership (NRAP): Industrial Carbon Capture Program 科技报告 来源:US Department of Energy (DOE). 出版年: 2012 作者: Pawar, Rajesh J. [Los Alamos National Laboratory]
![](/C666/themes/default/image/downing1.png) 收藏  |  浏览/下载:5/0  |  提交时间:2019/04/05 |
| Final Report for the portion performed in the University of Illinois on the project entitled "Optimizing the Cloud-Aerosol-Radiation Ensemble Modeling System to Improve Future Climate Change Projections at Regional to Local Scales" 科技报告 来源:US Department of Energy (DOE). 出版年: 2011 作者: Pawar, Rajesh J. [Los Alamos National Laboratory]
![](/C666/themes/default/image/downing1.png) 收藏  |  浏览/下载:4/0  |  提交时间:2019/04/05 cloud-aerosol-radiation interaction CAM3 climate prediction ensemble optimization |