Application of MODFLOW with Boundary Conditions Analyses Based on Limited Available Observations: a Case Study of Birjand Plain in East Iran
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Fully Conservative Coupling of HEC-RAS with MODFLOW to Simulate Stream–Aquifer Interactions in a Drainage Basin
Journal of Hydrology (2008) 353, 129– 142 available at www.sciencedirect.com journal homepage: www.elsevier.com/locate/jhydrol Fully conservative coupling of HEC-RAS with MODFLOW to simulate stream–aquifer interactions in a drainage basin Leticia B. Rodriguez a,*, Pablo A. Cello b,1, Carlos A. Vionnet a,2, David Goodrich c a Department of Hydrology and Water Resources, University of Arizona, Tucson, AZ USA b Facultad de Ingenierı`a y Ciencias Hı`dricas, Universidad Nacional del Litoral, CC 217, 3000 Santa Fe, Argentina c Southwest Watershed Research, Agricultural Research Service, U.S. Department of Agriculture, 2000 East Allen Road, Tucson, AZ 85719, USA Received 20 September 2007; received in revised form 10 January 2008; accepted 6 February 2008 KEYWORDS Summary This work describes the application of a methodology designed to improve the Groundwater–surface representation of water surface profiles along open drain channels within the framework water interaction; of regional groundwater modelling. The proposed methodology employs an iterative pro- Hydrologic modelling; cedure that combines two public domain computational codes, MODFLOW and HEC-RAS. In MODFLOW; spite of its known versatility, MODFLOW contains several limitations to reproduce eleva- HEC-RAS tion profiles of the free surface along open drain channels. The Drain Module available within MODFLOW simulates groundwater flow to open drain channels as a linear function of the difference between the hydraulic head in the aquifer and the hydraulic head in the drain, where it considers a static representation of water surface profiles along drains. The proposed methodology developed herein uses HEC-RAS, a one-dimensional (1D) com- puter code for open surface water calculations, to iteratively estimate hydraulic profiles along drain channels in order to improve the aquifer/drain interaction process. -
Modelling Surface Water-Groundwater Exchange
Modelling Surface Water-Groundwater Exchange Evaluating Model Uncertainty from the Catchment to Bedform-Scale Dissertation der Mathematisch-Naturwissenschaftlichen Fakultät der Eberhard Karls Universität Tübingen zur Erlangung des Grades eines Doktors der Naturwissenschaften (Dr. rer. nat.) vorgelegt von Reynold Chow, M.Sc., P.Geo aus Toronto, Kanada Tübingen 2019 Gedruckt mit Genehmigung der Mathematisch-Naturwissenschaftlichen Fakultät der Eberhard Karls Universität Tübingen. Tag der mündlichen Qualifikation: 21.05.2019 Dekan: Prof. Dr. Wolfgang Rosenstiel 1. Berichterstatter: Prof. Dr.-Ing. Wolfgang Nowak 2. Berichterstatter: Dr. rer. nat. Thomas Wöhling 3. Berichterstatter: Prof. Dr.-Ing. Olaf A. Cirpka Abstract My dissertation focuses on evaluating model uncertainties when numerically simulating surface water-groundwater (sw-gw) interactions at different scales. To do so, I mainly use HydroGeoSphere, a physically-based distributed finite element model that fully couples variably saturated subsurface flow with surface water flow. I evaluate three predominant model uncertainty types at three different scales of sw-gw interaction. For each of these investigations, I selected a corresponding study site. Firstly, I evaluate structural (conceptual) uncertainty from delineating baseflow contribution areas to gaining stream reaches, or stream capture zones, at the catchment-scale. I investigate how the delineated stream capture zone (in the Alder Creek watershed) can differ due to the chosen model code and delineation method (Chow et al. 2016). The results indicate that different models can calibrate acceptably well to the same data and produce very similar distributions of hydraulic head, but can produce different capture zones. The stream capture zone is highly sensitive to the post-processing particle tracking algorithm. Reverse transport is an alternative and more reliable approach that accounts for local-scale parameter uncertainty and provides probability intervals for the stream capture zone. -
Streamflow-Routing (SFR2) Package with Unsaturated Flow Beneath Streams (MODFLOW 2005 Version 1.12.00)
Streamflow-Routing (SFR2) Package with Unsaturated Flow beneath Streams (MODFLOW 2005 Version 1.12.00) MODFLOW Name File The Streamflow-Routing Package is activated automatically by including a record in the MODFLOW-2005 name file using the file type (Ftype) “SFR” to indicate that relevant calculations are to be made in the model and to specify the related input data file. The user can optionally specify that stream gages and monitoring stations are to be represented at one or more locations along a stream channel by including a record in the MODFLOW-2005 name file using the file type (Ftype) “GAGE” that specifies the relevant input data file giving locations of gages. Data input for SFR1 works without modification if unsaturated flow is not simulated. Input Data Instructions The modification of SFR2 to simulate unsaturated flow relies on the specific yield values as specified in the Layer Property Flow (LPF) Package, the Hydrogeologic-Unit Flow (HUF) Package, or the Block-Centered Flow (BCF) Package. If MODFLOW-2005 is run with the option to use vertical hydraulic conductivity in the LPF Package, the layer(s) that contain cells where unsaturated flow will be simulated must be specified as convertible. That is, the variable LAYTYP specified in LPF (or variable LTHUF in HUF) must not be equal to zero, otherwise the model will print an error message and stop execution. Additional variables that must be specified to define hydraulic properties of the unsaturated zone are all included within the SFR2 input file. All values are entered in as free format. Parameters can be used to define streambed hydraulic conductivity only when data input follows the SFR1 input structure (Prudic and others, 2004). -
Review of the Monolith Materials Inc. Groundwater Flow Model
Review of the Monolith Materials Inc. Groundwater Flow Model Prepared for: Lower Platte South Natural Resource District February 2021 The technical material in this report was prepared by or under the supervision and direction of the undersigned: ___________________________________________________ Jacob Bauer, P.G. (WY #3902) Hydrogeologist | Project Manager LRE Water Clinton Meyer – Staff Hydrogeologist, LRE Water Dave Hume P.G. (NE # 0186) – Sr. Project Manager and VP Midwest Operations, LRE Water Page | 2 Monolith Model Review- February 2021 TABLE OF CONTENTS Section 1: Introduction ................................................................................................................. 4 1.1 Purpose of Review ............................................................................................................... 4 1.2 Model Background ............................................................................................................... 5 Section 2: Model Objective and Choice of Modeling Code .................................................................... 5 Section 3: Model Inputs ................................................................................................................ 6 3.1 Extent, Spatial Discretization, and Temporal Discretization ............................................................ 6 3.2 Geology, Model Thickness, and Bedrock Flow Interactions ............................................................ 6 3.3 Wells and Targets ............................................................................................................... -
Hydrologic Processes Modeling Workshop Tucson, Arizona November 8-9, 2000
Hydrologic Processes Modeling Workshop Tucson, Arizona November 8-9, 2000 ACKNOWLEDGEMENTS This Workshop on Hydrologic Process Modeling and the report you are reading would not have been possible without the efforts of many individuals. These people gave of themselves because they care about hydrologic modeling, their profession, and because they want to see technology used for better resource decision making. The concept to pursue this workshop would not have been possible without the support from the Subcommittee on Hydrology (SOH). The SOH in their foresight established the Task Committee on Hydrologic Modeling and allowed those members the freedom to organize and convene this workshop. Appreciation is extended to all members on the Task Committee on Hydrologic Modeling, which includes: Mimi Dannel; Russ Kinnerson, Arlen Feldman; Marshall Flug; Donald Frevert, Chair; Doug Glysson; George Leavesley; Steve Markstrom; Jayantha Obeysekera; Mike Smith; Ming Tseng; Don Woodward; and Ray Whittemore. In addition, the University of Arizona provided our host facility, arranged the logistical details for the workshop, and provided a great environment for this workshop. Special appreciation is extended to Paul Baltes for making the on site arrangements for the workshop and to Pam Lawler, for assisting Paul with the on-site arrangements and also handling the registration for this workshop. Soroosh Sorooshian, who initially agreed to get the UA involved as host facility, and Hoshin Gupta, both of SAHRA as well as Jim Washburne, Assistant Director for Education at the UA are owed our thanks for arranging and coordinating UA’s faculty, staff and student support of this workshop. Special thanks are extended to Terri Sue Hogue for scheduling and overseeing the students from the University of Arizona that served as note takers, recorders, and prepared the written Discussions for the four Panels and of the Breakout sessions. -
Title NUMERICAL MODELING of GROUNDWATER FLOW IN
NUMERICAL MODELING OF GROUNDWATER FLOW IN Title MULTI-LAYER AQUIFERS AT COASTAL ENVIRONMENT( Dissertation_全文 ) Author(s) MUHAMMAD RAMLI Citation Kyoto University (京都大学) Issue Date 2009-03-23 URL http://dx.doi.org/10.14989/doctor.k14599 Right 許諾条件により本文は2009-09-23に公開 Type Thesis or Dissertation Textversion author Kyoto University NUMERICAL MODELING OF GROUNDWATER FLOW IN MULTI LAYER AQUIFERS AT COASTAL ENVIRONMENT JANUARY, 2009 MUHAMMAD RAMLI ii ABSTRACT Tremendous increasing density of population in coastal area has led to effect the increasing groundwater exploitation to meet water demand. Subsequently, many cities in the world have a highly vulnerability to suffer from seawater intrusion problem. In order to sustain the groundwater supply, the development of groundwater resources requires anticipating this seawater encroachment through a good understanding of the phenomena of freshwater-seawater interface. Numerical model of finite element method is an efficient and an important tool for this purpose. However, this method is not without shortcoming. Mesh generation is well known as time consuming and formidable task for analysts. Meanwhile, physical system of multi-layer aquifer that has significant influence to the phenomena of the interface requires a huge number of elements to represent it. Furthermore, requirement of fine meshes in suppressing the numerical dispersion and spurious oscillation problem rises the mesh generation to be more difficult task. To overcome the mesh generation difficulty by implementing mesh free method faces problem of the imposition of essential boundary conditions. Therefore, development of code by employing Cartesian mesh system seems more effective. A hybridization of the finite element method and the finite difference method employing Cartesian mesh system has been developed in this study by choosing SUTRA (Version 2003) as a basis of numerical code. -
Assessment of Groundwater Modeling Approaches for Brackish Aquifers
Assessment of Groundwater Modeling Approaches for Brackish Aquifers Final Report Prepared by Neil E. Deeds, Ph.D., P.E. Toya L. Jones, P.G. Prepared for: Texas Water Development Board P.O. Box 13231, Capitol Station Austin, Texas 78711-3231 November 2011 Texas Water Development Board Assessment of Groundwater Modeling Approaches for Brackish Aquifers Final Report by Neil E. Deeds, Ph.D., P.E. Toya L. Jones, P.G. INTERA Incorporated November 2011 iii This page is intentionally blank. iv Table of Contents Executive Summary ........................................................................................................................ 1 1.0 Introduction ......................................................................................................................... 2 2.0 Literature Review................................................................................................................ 3 2.1 Importance of Variable Density on Flow and Transport ........................................... 3 2.1.1 Introduction to Mixed Convection Systems .................................................. 3 2.1.2 Describing the Degree of Mixed Convection ................................................ 4 2.1.3 Examples of Mixed Convection Systems ...................................................... 5 2.2 Codes that Simulate Variable Density Flow and Transport ....................................... 6 2.3 Brackish Water Hydrogeology ................................................................................ 19 2.4 Brackish Water -
Supported Operating Environment
Supported Operating Environment System Level Guides Current 9/28/2021 Table of Contents Supported Operating Environment Reference 5 Product List 8 Billing Data Server 10 Composer 12 CSTA Connector for BroadSoft BroadWorks 18 CX Contact 22 Decisions 26 eServices 29 Framework 49 Genesys Administrator Extension 72 Genesys Agent Scripting 80 Genesys Intelligent Automation (formerly GAAP) 84 Genesys Co-browse 88 Genesys Customer Experience Insights 92 Genesys Desktop 98 Genesys Info Mart 103 Genesys Interaction Recording 109 Genesys Interactive Insights 119 Genesys IVR SDK 127 Genesys Knowledge Center 131 Genesys Media Server 136 Genesys Mobile Services 146 Genesys Predictive Routing 151 Genesys Pulse 154 Genesys Quality Management (Zoom) 161 Genesys Rules System 164 Genesys Skills Management 171 Genesys Softphone 177 Genesys Video Gateway 182 Genesys Voice Platform 186 Genesys Voice Platform Studio 194 Genesys Voice Platform Voice Application Reporter 196 Genesys Web Engagement 199 Genesys WebRTC Service 204 Genesys Widgets 213 Gplus Adapter for Microsoft CRM 216 Gplus Adapter for SAP Analytics 218 Gplus Adapter for SAP CRM 222 Gplus Adapter for SAP Data Access Component 226 Gplus Adapter for SAP ERP 230 Gplus Adapter for SAP ICI Multi-Channel 234 Gplus Adapter for Siebel CRM 238 intelligent Workload Distribution 244 Interaction Concentrator 251 Interaction SDK 274 IVR Interface Option 281 License Reporting Manager 286 LivePerson Adapter 291 Load Distribution Server 295 Messaging Apps/Social Engagement 299 Multimedia Connector for Skype for -
USGS) Allowing More Complex Grid Options
An Introduction to Groundwater Modeling in Arizona ARIZONA HYDROLOGICAL SOCIETY PHOENIX CHAPTER November 20, 2019 Justin Clark David Sampson BIOS Justin Clark Groundwater Flow Modeler, Hydrogeologist Arizona Department of Water Resources (ADWR) David Sampson Senior Sustainability Scientist, Researcher, Modeler Arizona State University (ASU) 2 OVERVIEW Workshop Sections Modeling Overview MODFLOW Examples -Learning Outcomes -Example1, 2D Coarse Model -Modeling Terms -Example2, 2D Refined Model -Usage Justification -MODFLOW Versions -MODFLOW Models in AZ -Guidance for MODFLOW 3 LEARNING OUTCOMES General Knowledge Class participants will learn what a Numerical Groundwater Model is used for and when it is needed. Participants will also gain hands-on experience using MODFLOW to model groundwater on different scales. 4 MODELING TERMS Primary Types of Models Process-based Data-driven or Empirical Physical processes and Empirical or statistical equations principles approximated derived from available data are used to evaluate the modeled to calculate an unknown variable. system. Brooks-Corey MODFLOW SWAT Most Environmental Models From Haverkamp and Parlange, 1986 5 MODELING TERMS Process-Based Models Conceptual A hypothesis that relates the behavior of the system to its internal processes. Analytical A math based description of groundwater flow through governing equation(s) and a solution algorithm. TH_Wells Aquifer Win 32 MLAEM Analysis of a constant-rate pumping (Tartakovsky and Neuman 2007). From AQTESOLV.com (HydroSOLVE, Inc). 6 MODELING TERMS Process-Based Models Numerical Discretized system of partial differential equations approximated by algebraic equations at point locations. HydroGeoSphere MODFLOW FEFLOW ParFlow 7 MODELING TERMS Numerical Models Deterministic A model that makes a singular prediction or has a single outcome based on purpose of the model. -
Using Multiple Conceptual Models to Understand Transboundary
Using Multiple Conceptual Models to Understand Transboundary Groundwater Flows in Red Cliff Reservation, WI By Yang Li A Thesis submitted in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE (Geological Engineering) at the UNIVERSITY OF WISCONSIN-MADISON 2015 Abstract Interactions between surface water and groundwater play a crucial role in water resources management. Understanding recharge dynamics in the vicinity of surface water bodies has important implications for stream ecology. A comprehensive approach is required to quantify recharge, defined as the entry of water into the saturated zone. The objective of this study is to investigate the transboundbary water impacts on groundwater-fed streams in Red Cliff reservation in northern Wisconsin under different recharge scenarios. A modified Thornthwaite-Mather Soil-Water-Balance code (USGS, 2010) which takes spatially variable factors including climate, land cover and topography into consideration to estimate the spatially- variable recharge rate, is used in this study. The main objective of this study is to understand the probable extent of groundwater recharge areas that contribute to the streams of the Red Cliff Reservation. Stream baseflows and the water configuration can be estimated using the groundwater flow model developed using MODFLOW (Harbaugh, 2005; Harbaugh et al., 2000). Three groundwater models, forced by three conceptual models representing different assumptions about estimated recharge and aquifer hydrological properties, are calibrated through PEST (Doherty, 2010a, b) to obtain a plausible model with the best match between simulated observations (heads and stream flows) and corresponding field observations. Capture zones are then delineated by using backward transport of particles through numerical flow modeling with MODPATH (Pollock, 1994). -
[1 ] Oracle Glassfish Server
Oracle[1] GlassFish Server Release Notes Release 3.1.2 and 3.1.2.2 E24939-10 April 2015 These Release Notes provide late-breaking information about GlassFish Server 3.1.2 and 3.1.2.2 software and documentation. These Release Notes include summaries of supported hardware, operating environments, and JDK and JDBC/RDBMS requirements. Also included are a summary of new product features in the 3.1.2 and 3.1.2.2 releases, and descriptions and workarounds for known issues and limitations. Oracle GlassFish Server Release Notes, Release 3.1.2 and 3.1.2.2 E24939-10 Copyright © 2015, Oracle and/or its affiliates. All rights reserved. This software and related documentation are provided under a license agreement containing restrictions on use and disclosure and are protected by intellectual property laws. Except as expressly permitted in your license agreement or allowed by law, you may not use, copy, reproduce, translate, broadcast, modify, license, transmit, distribute, exhibit, perform, publish, or display any part, in any form, or by any means. Reverse engineering, disassembly, or decompilation of this software, unless required by law for interoperability, is prohibited. The information contained herein is subject to change without notice and is not warranted to be error-free. If you find any errors, please report them to us in writing. If this is software or related documentation that is delivered to the U.S. Government or anyone licensing it on behalf of the U.S. Government, then the following notice is applicable: U.S. GOVERNMENT END USERS: Oracle programs, including any operating system, integrated software, any programs installed on the hardware, and/or documentation, delivered to U.S. -
GMS User Manual (V8.3) the Groundwater Modeling System
GMS User Manual (v8.3) The Groundwater Modeling System PDF generated using the open source mwlib toolkit. See http://code.pediapress.com/ for more information. PDF generated at: Tue, 31 Jul 2012 20:55:45 UTC Contents Articles 1. Learning GMS 1 What is GMS? 1 The GMS Screen 1 Tool Palettes 4 Project Explorer 6 Tutorials 7 2. Set Up 8 64 bit 8 License Agreement 8 Registering GMS 9 Community Edition 10 Graphics Card Troubleshooting 11 Reporting Bugs 14 3. General Tools 15 3.1. The File Menu 16 The File Menu 16 3.2. The Edit Menu 17 The Edit Menu 17 Units 18 Preferences 19 Materials 23 Material Set 24 3.2.1. Coordinate Systems 25 Coordinate Systems 25 Coordinate Conversions 27 Projections 28 CPP Coordinate System 29 Geographic Coordinate System 30 Local Coordinate System 30 Coordinate Transformation 31 Transform 32 3.3. The Display Menu 33 The Display Menu 33 Contour Options 35 Animations 37 Color Ramp 39 3.3.1. Display Options 41 Display Options 41 Drawing Grid Options 42 Vectors 43 Lighting Options 44 Plot Axes 45 3.4. Other Tools 47 Annotations 47 CAD Options 51 Cross Sections 51 Data Sets 55 Data Calculator 58 Display Theme 60 XY Series Editor 61 4. Interpolation 62 4.1. Introduction 63 Interpolation 63 Interpolation Commands 64 3D Interpolation Options 65 Steady State vs. Transient Interpolation 66 4.2. Linear 67 Linear 67 4.3. Inverse Distance Weighted 68 Inverse Distance Weighted 68 Shepards Method 68 Gradient Plane Nodal Functions 69 Quadratic Nodal Functions 70 Subset Definition 71 Computation of Interpolation Weights 72 4.4.