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  88 View(s)  880 Download(s)  0.00 KBDownload

 Version May2023  129 View(s)  995 Download(s)  505.94 KBDownload

 Version 1.0.0  81 View(s)  1443 Download(s)  522.38 KBDownload

 Version 1.0.0  116 View(s)  1500 Download(s)  492.39 KBDownload

 Version May2023  120 View(s)  1481 Download(s)  489.55 KBDownload

 Version 1.0.0  78 View(s)  1359 Download(s)  446.63 KBDownload

 Version 1.0.0  130 View(s)  1529 Download(s)  527.08 KBDownload