2016
DOI: 10.3133/tm6a53
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MT3D-USGS version 1: A U.S. Geological Survey release of MT3DMS updated with new and expanded transport capabilities for use with MODFLOW

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Cited by 100 publications
(95 citation statements)
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“…• MODFLOW-2005 [26] for simulating groundwater flow in porous media, including ground-and surface-water interaction, vertical flow through the unsaturated zone, and seawater intrusion by adopting a 3D vertically integrated variable-density approach; • MODFLOW-OWHM (One-Water Hydrologic Flow Model) [27], including the Farm Process (FMP) package to deal with conjunctive use of ground-and surface-water for water management issues; • the Crop Growth Model based on the EPIC (Environmental Policy Integrated Climate) and APEX (Agricultural Policy / Environmental eXtender) family of models [28,29] to simulate crop yield at harvest as a function of the above-ground biomass; • MODPATH [30] for particle tracking based on a purely advective transport process; • ZONE BUDGET [31] to estimate the groundwater budget for model sub-regions; • MT3DMS (Modular Three-Dimensional Multispecies Transport Model for Simulation of Advection, Dispersion, and Chemical Reactions of Contaminants in Groundwater Systems) [32] for simulating multi-species advective-dispersive transport in the saturated zone; • MT3D-USGS [33], the most updated version of MT3DMS with new transport modelling capabilities, including simulation of solute transport in the unsaturated zone and mass exchange with surface water bodies;…”
Section: Demonstration Of Freewat Application At Selected Case Studiesmentioning
confidence: 99%
“…• MODFLOW-2005 [26] for simulating groundwater flow in porous media, including ground-and surface-water interaction, vertical flow through the unsaturated zone, and seawater intrusion by adopting a 3D vertically integrated variable-density approach; • MODFLOW-OWHM (One-Water Hydrologic Flow Model) [27], including the Farm Process (FMP) package to deal with conjunctive use of ground-and surface-water for water management issues; • the Crop Growth Model based on the EPIC (Environmental Policy Integrated Climate) and APEX (Agricultural Policy / Environmental eXtender) family of models [28,29] to simulate crop yield at harvest as a function of the above-ground biomass; • MODPATH [30] for particle tracking based on a purely advective transport process; • ZONE BUDGET [31] to estimate the groundwater budget for model sub-regions; • MT3DMS (Modular Three-Dimensional Multispecies Transport Model for Simulation of Advection, Dispersion, and Chemical Reactions of Contaminants in Groundwater Systems) [32] for simulating multi-species advective-dispersive transport in the saturated zone; • MT3D-USGS [33], the most updated version of MT3DMS with new transport modelling capabilities, including simulation of solute transport in the unsaturated zone and mass exchange with surface water bodies;…”
Section: Demonstration Of Freewat Application At Selected Case Studiesmentioning
confidence: 99%
“…A 2-D model geometry was selected over a full 3-D model for the sake of higher computational efficiency while not significantly compromising the general findings as per previous studies (D'Affonseca et al, 2011;Ekwurzel et al, 1994;Ma et al, 2014;Salmon et al, 2015;Solomon & Sudicky, 1991;Zhang et al, 2013). Groundwater flow was simulated with MODFLOW-NWT (Niswonger et al, 2011) and multispecies environmental tracer transport simulations were performed with MT3DMS-USGS (v1; Bedekar et al, 2016). The conceptual hydrogeological model was defined to resemble a semiarid groundwater system.…”
Section: Numerical Modeling Framework 231 Numerical Model Setupmentioning
confidence: 99%
“…However, monitoring groundwater is inherently difficult due to physical barriers between observers and the water. Through the understanding of subsurface flow physics and with flow and contaminant transport models such as MODFLOW, MODPATH and MT3D [77][78][79], we can simulate the behaviour of groundwater. Unfortunately, our simulations are not always accurate, and the models require real-world observations to be calibrated and validated.…”
Section: Soil Moisture and Groundwater Networkmentioning
confidence: 99%