Documentation of Groundwater Model

Similar documents
4.2 HYDROLOGY AND WATER QUALITY

5. Basin Evaluation Salt and Nitrate Balance


Optimizing Recharge in the Pauba Valley

4.4 MODEL CODE DESCRIPTION 4.5 WATER SOURCES AND SINKS 4.6 MODEL DOMAIN AND BOUNDARIES. SLR South Africa

Draft Fact Sheet Butte County Stable Isotope Recharge Study

San Mateo Plain Groundwater Basin Assessment Stakeholder Workshop #8 17 APRIL 2018

Assessment of the Groundwater Quantity Resulting from Artificial Recharge by Ponds at Ban Nong Na, Phitsanulok Province, Thailand

June 4, Mr. Arden Wallum General Manager Mission Springs Water District Second Street Desert Hot Springs, CA Dear Mr.

Groundwater in the Santa Rosa Plain

4 Water Management Strategies

San Mateo Plain Groundwater Basin Assessment Stakeholder Workshop #7 9 NOVEMBER 2017

San Benito County Water District. Annual Groundwater Report 2017

Potential effects evaluation of dewatering an underground mine on surface water and groundwater located in a rural area

Numerical Groundwater Model for the Kaweah Delta Water Conservation District

List of Tables... ii. List of Figures... ii. Executive Summary... ES - 1. Section 1: Introduction

Modeling the Contamination of an Aquifer from a Highway Salt Storage Facility

List of Tables... iii List of Figures... iii Executive Summary... ES - i

6.0 USGS MODEL. 6.1 Background

Investigation of sustainable development potential for Ulubey Aquifer System, Turkey

Dynamic groundwater-river interaction model for planning water allocation in a narrow valley aquifer system of the Upper Motueka catchment

SAN MATEO PLAIN GROUNDWATER BASIN ASSESSMENT STAKEHOLDER WORKSHOP#2 SEPTEMBER 7, 2016

Numerical Modeling of Groundwater Flow in the Navajo Sandstone Aquifer at the Tuba City, Arizona, Disposal Site 15167

Appendix I. Groundwater Modeling

B-7. Predictive Assessment Model of Quaternary Alluvium Hydrogeology. J:\scopes\04w018\10000\FVD reports\final EIA\r-EIA app.doc

Evaluating Impoundment Closure Scenarios using Fate and Transport Modeling

Memorandum. Introduction. Carl Einberger Joe Morrice. Figures 1 through 7

Section 8 Stevinson Water District Study Area

HARGIS + ASSOCIATES, INC. HYDROGEOLOGY ENGINEERING

SALINAS VALLEY GROUNDWATER BASIN SETTING INITIAL REVIEW FOR DEVELOPMENT OF GROUNDWATER SUSTAINABILITY PLAN

Salt and Nitrate Sources Pilot Implementation Study Report

Genetic Algorithm based Simulation Optimization Approach to Seawater Intrusion

Appendix C Data Collection Protocols

Modeling the Managed Aquifer Recharge for Groundwater Salinity Management in the Sokh River Basin

Surface Water and Seawater Interactions in the Coastal Environment of Biscayne Bay, Southeast Florida

MODELLING THE GROUNDWATER FLOW FOR ESTIMATING THE PUMPING COST OF IRRIGATION IN THE AQUIFER OF N. MOUDANIA, GREECE

Orange County Water District. Salt and Nitrate Projections for Orange County Management Zone. Final Technical Memorandum

Nitrate Tracking in the Lower Yakima Basin

ZEBRA MUSSEL PROJECT STATUS

CHAPTER 7 GROUNDWATER FLOW MODELING

AQUIFER STORAGE AND RECOVERY EVALUATION REPORT

GAM RUN : IRION COUNTY WATER

D.G.S.W. Pitakumbura Manager (Groundwater Studies) Groundwater Section NWS&DB. Groundwater recharge or deep drainage or

DYNFLOW accepts various types of boundary conditions on the groundwater flow system including:

GROUND WATER/SURFACE WATER INTERACTIONS AWRA SUMMER SPECIALTY CONFERENCE Judith Schenk'

Using the Waste Load Allocation Model (WLAM) to Develop Effluent Limitations and Waste Discharge Requirements

San Benito County Water District

Overview of Water Resources (Part 2): Groundwater in Sonoma Valley

Michael Roark, USGS Nabil Shafike, ISC Technical Review - October 14, 2010

Memorandum of Understanding to Implement the Cooperative Agreement. Accepted: Wednesday, January 14, 2009

GROUNDWATER & SGMA 101

Lower Rio Grande Salinity Monitoring

Coachella Valley Regional Water Management Group (CVRWMG)

Lower Tuscan Aquifer. General Description PowerPoint

Stormwater Retention Pond Recovery Analysis

Numerical Groundwater Flow Model Report. Caloosa Materials, LLC 3323 Gulf City Road Ruskin, Florida 33570

1 THE USGS MODULAR MODELING SYSTEM MODEL OF THE UPPER COSUMNES RIVER

REPRESENTING HYDRODYNAMIC DISPERSION IN SALTWATER INTRUSION MODELS THAT DIFFER IN TEMPORAL RESOLUTION. Alyssa Dausman 1 and Christian Langevin 1

Department of Conservation Division of Oil, Gas, and Geothermal Resources Bill Bartling Inland District Deputy

POTABLE WATER SUPPLY DEFINITIONS

GROUNDWATER Dr. DEEPAK KHARE GENERAL HYDROLOGY CYCLE FORMATIONS

Addressing Hydrogeologic Conceptual Model Uncertainty within the SGMA Planning Framework

A Hydrologic Study of the North Hills, Helena, Montana

year within the area of Kings County (California Department of Water Resources, 1979).

Groundwater Modeling Guidance

Groundwater Recharge from Wala Dam Reservoir in Jordan

Carpinteria Valley Water District. Q&A Carpinteria Groundwater Basin (CGB) August 20, 2014

ESTIMATION OF GROUNDWATER RECHARGE IN NATIONAL CAPITAL TERRITORY, DELHI USING GROUNDWATER MODELING

Ground Water Issues of the South Platte River Basin. Presented by: James L. Jehn, C.P.G. Jehn Water Consultants, Inc.

NUMERICAL SIMULATION OF INTEGRATED SURFACE WATER/GROUNDWATER FLOW AND SOLUTE TRANSPORT IN THE SOUTHERN EVERGLADES, FLORIDA

Christina Lucero, PG, EKI Environment & Water, Inc. (EKI) John Fio, Principal Hydrogeologist, EKI

APPENDIX 5: SAMPLE MODEL RESULTS

GROUNDWATER RESOURCE MANAGEMENT FUNDAMENTALS: GROUNDWATER BASIN CONNECTIVITY. Open-File Report May 2014

The soil is a very. The soil can. The manure. Soil Characteristics. effective manure treatment system if manures are applied at the proper rate.

RESOLUTION NO

Chapter 7 Shallow Ground Water Study Team

by Phatcharasak Arlai 1*, Manfred Koch 1, Sucharit Koontanakulvong 2

IDC, UNIQUELY POSITIONED FOR DIVERSE APPLICATIONS

3.2 Master Response on Groundwater Modeling

July 18, GEOSCIENCE Support Services, Inc. P.O. Box 220, Claremont, CA Tel: (909) Fax: (909)

Annual Groundwater Report

7.0 GROUNDWATER AND STABILIZER TRANSPORT MODELING

Linking Soil Water and Groundwater Models to Investigate Salinity Management Options

Development of Groundwater Model for GMA-12 Using a Participatory Framework for Data Collection and Model Calibration

Hydrologic Modeling Overview

Groundwater Level and Movement

GROUNDWATER MODELING A PRIMER FOR THE COMMUNITY

November 13, Mr. Alfred Artinger Reid s Heritage Homes 6783 Wellington Road 34, RR #22 Cambridge, Ontario N3C 2V4

T E C H N I C A L M E M O R A N D U M

San Benito County Water District Groundwater Sustainability Agency. Community Workshop. November 14, 2018

Effective soil hydraulic and transport properties!!!!!

K.Sangeetha, B.Narasimhan Department of Civil Engineering, Indian Institute of Technology, Madras

SOLUTE POLLUTANTS TRANSPORT MODELING IN LANDFILL VALEA MANASTIRII, GORJ COUNTY ROMANIA

Comparative analysis of SWAT model with Coupled SWAT-MODFLOW model for Gibbs Farm Watershed in Georgia

Technical Memorandum. Butte County Department of Water and Resource Conservation

New Investments in Water Portfolios

May 3, 2011 BUILDING STRONG BUILDING STRONG ALBUQUERQUE DISTRICT. US Army Corps of Engineers. US Army Corps of Engineers

Investigative Study of Conjunctive Use Opportunities in the Stony Creek Fan Aquifer

RANCHO CALIFORNIA WATER DISTRICT GROUNDWATER WORKSHOP. Groundwater Production History and Outlook for the Temecula Valley Groundwater Basin

GROUND-WATER LEVELS AND RIVER-AQUIFER INTERACTIONS IN THE UPPER ARKANSAS RIVER CORRIDOR IN SOUTHWEST KANSAS

Transcription:

Documentation of Groundwater Model Groundwater Model The primary tool used to evaluate potential impacts on groundwater was a groundwater flow and solute transport model developed by San Benito County Water District and San Benito County. The model was first developed and documented in 2 (Yates and Zhang 1) but has evolved since then, including modifications implemented specifically to better evaluate impacts of the wastewater project. The model is regional in extent, covering the entire San Benito County part of the Gilroy-Hollister groundwater basin. The groundwater flow component of the model uses the MODFLOW0 computer program developed by the U. S. Geological Survey (Harbaugh and others, 0). Groundwater salinity is simulated using the solute transport program MT3DMS (Zheng and Wang, 1999), which functions as an extension to MODFLOW0. Numerous spreadsheets, geographic information system (GIS) maps and Fortran utility programs were also developed to prepare input data sets for the models and to extract and display selected simulation results. The finite-difference model grid includes five layers to enable simulation of vertical differences in groundwater levels and salt concentration. Grid cells are 250 x 250 feet near the DWTP and IWTP and increase to 1000 x 1000 feet in the rest of the basin. Figure A-1 shows the the extent of the model and the finite-difference grid used in the model to simulate water levels at discrete points across the basin. The model has continued to evolve since 1 as new information becomes available and to improve its capabilities. This includes modifications specifically implemented for the wastewater project. Modifications implemented since 1 include: The grid spacing was decreased in the vicinity of the DWTP and IWTP in order to provide greater detail in simulated water table mounding beneath the percolation ponds. The model was divided into five layers in order to represent vertical differences in water levels and salinity. The upper surface of the top layer (layer 1) was shaped to parallel the relatively low water table surface at the start of the calibration period. This helps prevent layer 1 cells from going dry when simulated water levels fall below the bottom elevation of layer 1. The original calibration period was January 1993 to September 0. This was extended through September 3. The model uses quarterly time intervals for transient simulations. The active part of the flow domain was expanded to include the Lomerias Muertas/Flint Hills area and the Hollister Hills area that projects north from near San Justo Reservoir. Subsurface permeability is lower in these hilly areas than in the valley floor areas, but they are all part of a single, continuous groundwater flow system. The original model had excluded these areas. They were added to the model in order to explore potential impacts on the groundwater contaminant

plume at the former Whittaker ordnance facility and on groundwater flow and salinity near the proposed Flint Hills sprayfield site. The simulation of salt loading was completely revised to include separate loads from individual sources (stream percolation; wastwater percolation; recharge from rainfall and irrigation water, etc.) and to simulate loads on a transient basis. Salt loading by deep percolation of infiltrated rainfall and irrigation water was converted to a spatially variable input by calibrating a background mass load based on local groundwater salinity and irrigation water salinity. The background mass load represents all sources of dissolved solids in the deep percolation other than irrigation water (gypsum, fertilizers, atmospheric deposition, and dissolution of soil minerals) and was calibrated so that simulated deep percolation salinity equaled shallow groundwater salinity. Shallow groundwater salinity was set equal to the average of ten shallow wells in the San Juan Valley (2,330 mg/l) because spatial variability and lack of data in other parts of the basin precluded regional contouring of shallow groundwater salinity. However, measured TDS concentrations in shallow wells near the DWTP, IWTP and airport were included as localized areas of detail. Recharge zones for future simulations were revised to conform with the 2 land use survey completed by the California Department of Water Resources and to include separate zones for wastewater disposal and reuse areas. The model calibration period was simulated using the 1997 land use survey. The recharge preprocessor was modified to account for recharge on peripheral hills that are not included in the active part of the model flow domain. Mathematical functions relating stream depth, width and dissolved-solids concentration to stream flow were greatly improved based on new field data collected by SBCWD in 4. The MODPATH extension to the MODFLOW model code was implemented to simulate the Whittaker contaminant plume path The ZONEBUDGET extension to MODFLOW was implemented to obtain water budget information for subregions of the model flow domain. Inflow to the basin through alluvium along creeks (Pacheco Creek, Arroyo de las Viboras, Arroyo Dos Picachos, Tres Pinos Creek and the San Benito River was represented by general-head boundaries. Inflow beneath the Pajaro River from the Llagas area was similarly represented. The conductance terms for these inflows were calibrated to obtain reasonable inflow rates comparable to the estimated inflows in water budgets developed for SBCWD annual groundwater reports. The model was completely recalibrated. This included redefining zones of hydraulic conductivity and storativity, adjusting their parameter values, adjusting the locations and conductances of faults, and adjusting streambed permeability. Shallow wells were added to the calibration data set to support calibration of vertical hydraulic conductivity. Hydrographs of simulated and measured water levels at 16 of the 106 well locations used for model calibration are shown in Figure A-2. These are wells located in areas that would be affected by the wastwater project, and their locations are labeled in Figure A-1.

The model uses quarterly stress periods and was calibrated to measured groundwater levels and stream-aquifer fluxes during 1993-3. Calibration of the flow component of the model is good in all subbasins. The ability of the solute transport component of the model to correctly simulate existing TDS concentration at any point in the basin is limited. Salinity data are fairly sparse, especially for shallow aquifers. Available data show considerable spatial variability geographically and with depth. Because of this variability, contoured initial concentrations for deep aquifers (model layers two through five) are not highly reliable except near the measurement wells. There were too few points to allow regional contouring of salinity in shallow aquifers (model layer 1), Instead, an initial concentration equal to the average of all available measurements was used in all parts of the basin except areas near the DWTP, IWTP and airport, for which one or more measured values were available. The solute transport model also simplifies water quality processes by lumping all salt loads other than irrigation water into a single background mass load term that was calibrated using an assumption that existing shallow groundwater salinity is in equilibrium with recharge salinity. Because of these simplifying assumptions, the solute transport component of the model is primarily useful for comparing relative differences among alternatives rather than predicting absolute TDS concentrations.

12-4-21M1 12-4-26G1 190 165 140 115 90 215 190 165 140 115 Sim L3 Screened Sim L4 Sim L5 Sim L3 Screened Sim L4 Screened Sim L5 Screened Near San Juan MW-6 12-4-36D2 270 245 220 195 170 145 120 95 70 45 20 12/4-34H1 (layers 4-5) San Juan MW-6 (Layer 1) Sim L1 Sim L2 Sim L3 Sim L4 Sim L5 215 190 165 140 115 90 Figure A-2 C continued 10/20/6 HydrographsML5_selected.xls

12-5-30R1 12-5-21Q1 250 125 180 155 130 105 80 DWTP_MW-4 250 Measured Sim L1 Screened Sim L2 Screened DWTP 97-2D DWTP 97-4D Sim L3 Sim L4 Screened Sim L5 12-5-28J1 250 Measured Sim L1 Screened Sim L2 Saved L1 1 Layer Model Screened Figure A-2 C continued 10/20/6 HydrographsML5_selected.xls

12-5-09K1 12-5-22C1 190 165 140 115 90 125 100 75 50 12-5-14N1 125 100 75 Measured Sim L1 Screened Sim L2 Screened 12-5-22J2 125 100 75 Measured Sim L1 Screened Sim L2 Screened Sim L3 Screened Sim L4 Sim L5 Figure A-2. Simulated and Measured Groundwater Levels for the 1993-3 Calibration Simulation at Selected Locations Potentially Affected by the Proposed Project 10/20/6 HydrographsML5_selected.xls

Near San Juan MW-10 IWTP_MW-1 260 235 210 185 160 275 250 12/5-28N1 San_Juan_MW-10 Sim L1 sim L2 Sim L3 Sim L4 Sim L5 12-5-33E2 280 255 230 205 180 Measured Sim L1 Screened Sim L2 13-5-10B1 265 240 215 190 165 140 Measured Sim L1 Screened Sim L2 IWTP MW-2 Figure A-2 C continued 10/20/6 HydrographsML5_selected.xls