artificial-intelligence-for-em-problem-set-soil-and-groundwater-sensor-data-analysis-and-visualization-from-the-wells-at-the-srs-f-area-using-machine-learning-deep-learning

Structural health monitoring is imperative to the ongoing surveillance and maintenance (S&M) across the DOE complex. As these facilities await decommissioning, there is a need to understand the structural health of these structures. Many of these facilities were built over 50 years ago and, in some cases, these facilities have gone beyond operational life expectancy. In any of these scenarios, the structural integrity of these facilities may be compromised, so…

Hexavalent chromium (Cr(VI)) is one of the primary contaminants in the 100 Areas at the U.S. Department of Energy’s (DOE’s) Hanford Site. Various cleanup efforts are ongoing to remediate this waste site since the late 1990s. To estimate the effects of these cleanup efforts and plan future cleanup actions, it is necessary to analyze Cr(VI) dynamics in the groundwater and surface water. The monitoring data available for groundwater wells and…

 Version 1.0.0  83 View(s)  833 Download(s)  0.00 KBDownload

 Version May2023  121 View(s)  936 Download(s)  505.94 KBDownload

 Version 1.0.0  77 View(s)  1334 Download(s)  522.38 KBDownload

 Version 1.0.0  107 View(s)  1397 Download(s)  492.39 KBDownload

 Version May2023  111 View(s)  1357 Download(s)  489.55 KBDownload

 Version 1.0.0  70 View(s)  1259 Download(s)  446.63 KBDownload

 Version 1.0.0  118 View(s)  1422 Download(s)  527.08 KBDownload