GoldSim E-Area Low-Level Waste Facility Aquifer Zone Model Calibration Methodology

Wohlwend, Jennifer; Hamm, L.L.

doi:10.2172/1701705

Cited by 2 publications

(4 citation statements)

References 2 publications

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“…This section introduces the development methodology for the GoldSim ® 1-D aquifer transport model described in detail by Wohlwend and Hamm (2020). The application of this methodology to calibrate the aquifer zone component of the System Model for trenches (STs and ETs) is discussed in Section 4.4.11.…”

Section: Goldsim ® Aquifer Transport Model Developmentmentioning

confidence: 99%

Performance Assessment for the E-Area Low-Level Radioactive Waste Disposal Facility at the Savannah River Site: Chapter 3

MAYER

HAMM

ALEMAN

et al. 2023

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are the PA for the INTEC calcined solids storage facility at the Idaho National Laboratory site (DOE-ID, 2019) and the PA for Waste Management Area C at the Hanford site (Mehta et al., 2016). The PA evaluates the potential impacts of changes in performance of different features of the system and demonstrates that the safety functions represent multiple and redundant barriers. Barrier analyses, assuming a safety function is not present, also test the robustness of the system in the event of the loss of one or more safety functions. Such evaluations also support a qualitative illustration of the concept of defense-in-depth.The safety concept for closure of the ELLWF encompasses a variety of different features (i.e., administrative controls, natural site features, and engineered barriers) that reduce the potential impacts on human health and the environment from the residual waste that will remain after closure. These features can be represented as a collection of safety functions acting independently and as a system to provide for overall safety. In some applications, attempts are made to assign numerical expectations to specific safety functions, but that is not the intent in this case. The concept of safety functions is used more qualitatively in two ways for this PA: 1. To illustrate the robustness of the ELLWF design, operational practices, and closure approach by documenting features that are and are not credited in different modeling cases.

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Section: Goldsim ® Aquifer Transport Model Developmentmentioning

confidence: 99%

Performance Assessment for the E-Area Low-Level Radioactive Waste Disposal Facility at the Savannah River Site: Chapter 3

MAYER

HAMM

ALEMAN

et al. 2023

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“…It has the advantage of graphically visualizing data and equations and is easy to use for observing and predicting the patterns of the implemented system as it changes over time [18]. The GoldSim program can simulate systems with complex relationships of many components, such as water resources, water supply, and hydrologic modeling [19][20][21]. Furthermore, it can visually show the integrated management problems of water resources because it can analyze uncertain parameters led by probabilistic variables (precipitation, evaporation, demand) [18,19,22].…”

Section: Goldsim Simulationmentioning

confidence: 99%

“…Elements for calculating changes in storage tank capacity over time based on the set inflow and outflow Input elements with complex relationships of many components, such as water resources, water supply, and hydrologic modeling [19][20][21]. Furthermore, it can visually show the integrated management problems of water resources because it can analyze uncertain parameters led by probabilistic variables (precipitation, evaporation, demand) [18,19,22].…”

Section: Elements That Include Functions or Equations That Can Be Cal...mentioning

confidence: 99%

“…Functions for manipulating input elements and function elements based on set events (e.g., IF function and storage tank set capacity) Function elements Elements that include functions or equations that can be calculated by integrating the results between elements Functions for manipulating input elements and function elements based on set events (e.g., IF function and storage tank set capacity) Function elements with complex relationships of many components, such as water resources, water supply, and hydrologic modeling [19][20][21]. Furthermore, it can visually show the integrated management problems of water resources because it can analyze uncertain parameters led by probabilistic variables (precipitation, evaporation, demand) [18,19,22].…”

Section: Event Elementsmentioning

confidence: 99%

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Maritime Network Analysis Based on Geographic Information System for Water Supply Using Shipboard Seawater Desalination System

Shin,

Koo,

Lee

et al. 2023

Sustainability

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Small islands are supplied with water from underground sources, simple seawater desalination facilities, or water supply shipment. However, this water supply can be interrupted because of the sudden depletion of groundwater, as groundwater level prediction is inaccurate. Additionally, seawater desalination facilities are difficult to maintain, resulting in frequent breakdowns. When the water tank capacity is below a certain level, island residents contact the water supply shipment manager to request a shipment from land. In Korea, a seawater desalination plant project using ships was newly attempted to solve the water supply problem for island regions. Through this project, an attempt was made to supply water to many island areas suffering water supply disruptions due to drought. The purpose of this study is to compare water supply routes to multiple island regions using existing water supply shipment with desalination plants on ships through network analysis based on a geographic information system. To optimize sailing route, length (m), road connection type, and name of each road section, actual operation data, distance, etc., were set up on a network dataset and analyzed. In addition, the operational model predicted the stability of water supply using the GoldSim simulator. As a result, when sailing on the optimal route based on network analysis, the existing water supply routes could be reduced (2153 km -> 968 km) by more than 55%, and operational costs can be verified to be reduced. Additionally, the validity of the network analysis results was confirmed through actual travel of the representative route.

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GoldSim E-Area Low-Level Waste Facility Aquifer Zone Model Calibration Methodology

Cited by 2 publications

References 2 publications

Performance Assessment for the E-Area Low-Level Radioactive Waste Disposal Facility at the Savannah River Site: Chapter 3

Performance Assessment for the E-Area Low-Level Radioactive Waste Disposal Facility at the Savannah River Site: Chapter 3

Maritime Network Analysis Based on Geographic Information System for Water Supply Using Shipboard Seawater Desalination System

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