Watershed Management And Modeling. Gridded Surface Subsurface Hydrologic

Similar documents
Development and Application of Watershed Models for Simulation and Management of Nonpoint Source. Pollutants

Hydrologic Modeling Overview

Tools for Wetlands Permit Evaluation: Modeling Groundwater and Surface Water Interaction

The Texas A&M University and U.S. Bureau of Reclamation Hydrologic Modeling Inventory (HMI) Questionnaire

Note that the Server provides ArcGIS9 applications with Spatial Analyst and 3D Analyst extensions and ArcHydro tools.

Modeling Nutrient and Sediment Losses from Cropland D. J. Mulla Dept. Soil, Water, & Climate University of Minnesota

Training Course Brochure Building Capacity in Rural & Urban Water Management

URBAN FLOODING: HEC-HMS

Hypothetical Flood Computation for a Stream System

Representing the Integrated Water Cycle in Community Earth System Model

A Study to Estimate Current and Future CSOs to Bubbly Creek and Identify Impacts on the Chicago Area Waterways (CAWS)

Lecture 9A: Drainage Basins

Alternative Approaches to Water Resource System Simulation

Suspended Sediment Discharges in Streams

Hydrologic cycle, runoff process

Hydrology and Water Management. Dr. Mujahid Khan, UET Peshawar

Petascale Hydrologic Modeling: Opportunities and Challenges. Fred L. Ogden Craig C. Douglas Scott N. Miller Ye Zhang

APPENDIX IV. APPROVED METHODS FOR QUANTIFYING HYDROLOGIC CONDITIONS OF CONCERN (NORTH ORANGE COUNTY)

Event and Continuous Hydrological Modeling with HEC- HMS: A Review Study

WMS Tools For Computing Hydrologic Modeling Parameters

Salinity TMDL Development and Modeling in the Otter Creek Watershed. Erik Makus DEQ Hydrologist June 6, 2013

2

RAINFALL-RUNOFF STUDY FOR SINGAPORE RIVER CATCHMENT

Minnesota River Basin Interagency Study

COUNTY OF KANE. Kishwaukee River Headwaters Study Stakeholder Meeting Monday, February 26, :30 am Hampshire Village Hall

History of Model Development at Temple, Texas. J. R. Williams and J. G. Arnold

Phase 1 Part 2 CSO Control Plan Wellington Avenue CSO Facility. Hydraulic Modeling Software Selection

WATER RESOURCES MANAGEMENT Vol. II - Watershed Modeling For Water Resource Management - D. K. Borah WATERSHED MODELING FOR WATER RESOURCE MANAGEMENT

Comparison of Lumped and Distributed Hydrologic Models for the Runoff Simulation of a Large Watershed in Alabama and Mississippi

Appendix 12. Pollutant Load Estimates and Reductions

PANAMA CANAL RESERVOIR WATER QUALITY EVALUATION STUDY

Coupled Hydrological and Thermal Modeling of Permafrost and Active Layer Dynamics: Implications to Permafrost Carbon Pool in Northern Eurasia

Re-plumbing Roadside Ditch Networks

Municipal Stormwater Management Planning

Clean Water is Everyone s Business. A commercial & industrial property owner s guide to improving Lake Tahoe s clarity

1 n. Flow direction Raster DEM. Spatial analyst slope DEM (%) slope DEM / 100 (actual slope) Flow accumulation

BAEN 673 / February 18, 2016 Hydrologic Processes

M.L. Kavvas, Z. Q. Chen, M. Anderson, L. Liang, N. Ohara Hydrologic Research Laboratory, Civil and Environmental Engineering, UC Davis

Overview of the Surface Hydrology of Hawai i Watersheds. Ali Fares Associate Professor of Hydrology NREM-CTAHR

Introduction. Welcome to the Belgium Study Abroad Program. Courses:

Hydrology 101. Impacts of the Urban Environment. Nokomis Knolls Pond Summer June 2008

APPENDIX H Guidance for Preparing/Reviewing CEQA Initial Studies and Environmental Impact Reports

Stormwater Retention Pond Recovery Analysis

Texas A & M University and U.S. Bureau of Reclamation Hydrologic Modeling Inventory Model Description Form

Rainfall, runoff and sediment transport in the Napa River watershed: now and a possible future

An Overview of JULES. Christina Bakopoulou

ADVANCED APPLICATIONS OF HEC-HMS

GIS Applications in Water Resources Engineering

Setting the Course for Improved Water Quality: Modeling for TMDL Studies

Effect of Land Surface on Runoff Generation

D. Common Water Quality Models

M.L. Kavvas, Z. Q. Chen, M. Anderson, L. Liang, N. Ohara Hydrologic Research Laboratory, Civil and Environmental Engineering, UC Davis

Demonstration of GSSHA Hydrology and Sediment at Eau Galle Watershed Near Spring Valley, Wisconsin

LID PLANTER BOX MODELING

Mission. Selected Accomplishments from Walnut Gulch. Facilities. To develop knowledge and technology to conserve water and soil in semi-arid lands

Assessment of Watershed Soundness by Water Balance Using SWAT Model for Han River Basin, South Korea

Nutrient Management in. A presentation to the West Metro Water Alliance

Constructed Wetland Pond T-8

CE Hydraulics. Andrew Kennedy 168 Fitzpatrick

L-THIA Online and LID in a watershed investigation

Advances in the modeling of Watershed and Riverine Fate and Transport of Contaminants

IAFSM 2010 Annual Conference. City of Rockford Keith Creek Greenway Flood Mitigation Project

Hydrologic and Watershed Model Integration Tool (HydroWAMIT) and Its Application to North & South Branch Raritan River Basin

Unit 2: Weather Dynamics Chapter 1: Hydrological Cycle

Initial Application of a Landscape Evolution Model to a Louisiana Wetland

Overview of NRCS (SCS) TR-20 By Dr. R.M. Ragan

Tools to Improve Water Quality

CEE6400 Physical Hydrology

Chapter IV: SUMMARY OF MODEL DEVELOPMENT AND RESULTS. The quantity of runoff, precipitation, evaporation,

Watershed - Lake Model to Support TMDL Determinations for Lake Thunderbird

Modeling catchment scale infiltration

Index. Page numbers followed by f indicate figures.

Environmental Management at DoD Facilities in the Chesapeake Bay Region. US Army Corps of Engineers BUILDING STRONG

Use of SWAT for Urban Water Management Projects in Texas

Application of SWAT Model in land-use. change in the Nile River Basin: A Review

Chapter 1. Introduction

5. Water Budget Implementation Procedures

INFLOW DESIGN FLOOD CONTROL SYSTEM PLAN 40 C.F.R. PART PLANT YATES ASH POND 3 (AP-3) GEORGIA POWER COMPANY

Hydrologic Engineering Center. Training Course on. Hydrologic Modeling with HEC-HMS. Davis, CA. Course Description

MODULE 1 RUNOFF HYDROGRAPHS WORKSHEET 1. Precipitation

By Richard Smardon PhD Professor of Environmental Studies, SUNY/ESF

Rainfall Runoff Modeling using MIKE 11 Nam A Review

Peak discharge computation

Methods of Streamflow Analysis

Hydrologic Engineering Center. Training Course on. Hydrologic Modeling with HEC-HMS April 2018 Davis, CA. Course Description

Event and Continuous Hydrologic Modeling with HEC-HMS

San Antonio Water System Mitchell Lake Constructed Wetlands Below the Dam Preliminary Hydrologic Analysis

HYDROLOGIC MODELING CONSISTENCY AND SENSITIVITY TO WATERSHED SIZE

A Case for the Design and Modeling of BMP Infiltration and LID Techniques. By: Bob Murdock

The Effect of Surface Texture on Evaporation, Infiltration and Storage Properties of Paved Surfaces

Model objectives. Main features. Water Evaluation And Planning (WEAP)

Water Resources on PEI: an overview and brief discussion of challenges

Crow s Foot Conservation Area Feasibility Study

Headwater Wetland Restoration Techniques The Wetland Drain Restoration Project

SURFACE WATER HYDROLOGY AND HYDRAULICS SECTION

Applying HSPF in Cooper River Watershed for Watershed Restoration Planning

MODELING WATER FLOW AND CONTAMINANT TRANSPORT IN SOILS AND GROUNDWATER USING THE HYDRUS COMPUTER SOFTWARE PACKAGES

Standards for Soil Erosion and Sediment Control in New Jersey May 2012 STANDARD FOR GRASSED WATERWAYS. Definition. Purpose

Hydrologic Study Report for Single Lot Detention Basin Analysis

Transcription:

Gridded Surface Subsurface Hydrologic Analysis

What is GSSHA? GSSHA is a complete watershed simulation and management model used for hydrologic, hydraulic, sediment and quality simulation and management. GSSHA is a fully distributed, physics based model that utilizes a grid to represent the watershed. GSSHA is a product of the US Army ERDC Maintained Supported Distributedib GSSHA is a direct descendent of the surface water hydrologic model CASC2D developed at Colorado State University. The original version of GSSHA is the result of my dissertation work at University of Connecticut. Downer, C. W. Identification and Modeling of Important Stream Flow Producing Processes in Watersheds, PhD Dissertation, University of Connecticut, 2002.

How does GSSHA Work? GSSHA works on a uniform spatial grid. Basic equations of mass, energy, and momentum conservation are solved with finite volume and finite difference techniques. Point processes are solved at the grid level. Point responses are integrated to get the system response. Computational Grid Cascading planes Cascading planes in two dimensions CASC2D

Why Does This Matter? Spatial variability. Physically based parameters.

Spatial Variability Explicitly include spatially heterogeneous features, such as varying land use, source areas, BMPs, etc.

Physically Based Parameters Values are based on physical conditions in the computational element. requires less calibration data extendible beyond calibration range The tie to physical conditions provides a means to logically alter parameters based on changing gconditions. land use changes project alternatives climate change

What GSSHA Can Do? Surface water hydrology Surface Water/Groundwater Interaction ti Surface water quality and TMDL s Sediment Management Contaminant fate/transport in surface water and groundwater and related health risk assessment Watershed Modeling and Management

Watershed Management And Modeling Gridded Surface Subsurface Hydrologic Analysis (GSSHA)

2D Overland Flow h q q t x y 1/ 2 q S i n dh S fx Sox ; S dx 1 5/3 5/3 1/ 2 d fx d S fy j 1 n fy S oy dh dy

1D Stream Network 2 1/ 2/3 1 1 2 / 1 2 1/ 1 i f i i i S R A n Q n S o S f x h S x Q t A

Infiltration and Evapotranspiration Infiltration Richards Equation 3 primary soil layers infinite subdivisions of each layer Green and Ampt, 1 layer Two layer Green and Ampt w/ Soil Moisture Redistribution Three layer Green and Ampt model with soil moisture accounting Evapotranspiration Deardorff bare earth Penman Montieth

Advanced Processes Covered in Next Course Continuous simulations with soil moisture accounting. Groundwater modeling. Surface water/groundwater interaction. Hydraulic structures. Reservoir and detention basins. Embankments. Sediment transport. Constituent transport.

Wetland Model Lateral flow through, over vegetation Bi-model flow: Linear transition from Darcian flow at bottom to Manning s flow at overtopping level Lateral flow through peat / muck layer Darcian Flow Vertical infiltration, exfiltration, Lateral Groundwater Infiltration, 2D Groundwater models

Rio Grande Wetlands Model

How Do I Build a GSSHA Model? GSSHA models are most easily built using the WMS software. Some files must be built with common text editors or spreadsheets. Additional utilities for building file types not supported by WMS are provided on the GSSHA wiki. Once the spatial aspects of the model have been assigned, simple changes to model input may be accomplished by directly editing the project and mapping table files.

How Do I Run GSSHA? GSSHA is run from the command line in a Windows Dialogue box. GSSHA can also be run from WMS, which basically calls up a Windows Dialogue box and launches GSSHA for you.

GSSHA and WMS The Watershed Modeling System (WMS) is a pre and post processor for GSSHA and several other hydrologic models, including HEC HMS and HEC 1.

WMS Overview Comprehensive system for watershed modeling Multiple computational models supported Empirically based, lumped parameter models (e.g. HEC HMS, HSPF, TR 20, etc) Physically based, distributed spatial parameter model (GSSHA) Riverine models (e.g. HEC RAS) Reservoir models dl (e.g. CE QUAL W2) W ) Integrates Models to understand system wide effects Multiple data sources to automate model parameter definition With GIS through ESRI s ArcObjects With public data sources through web services Widely used for civil and military applications

Watershed Modeling

Why use GSSHA? Model floods, water balance, and ecological flows Flexible processes selection tailored to watershed and project characteristics Integrated Process Modeling Changes in one process affect other processes Coupled groundwater, soil moisture, stream, and overland flow models Spatially explicit formulation: can evaluate impacts of where changes occur Location of wetlands addition Location of land use change Physical Process driven model: can simulate fundamental changes in processes such as tile drain removal, addition of wetlands, and changes in land use

Why use GSSHA? Integrated Surface and Overland Modeling Stream channels are integrated with the overland and groundwater flow regimes. Allows water in 2D systems to enter/exit the stream channel at correct time and location. Reservoirs are simulated as both channel and overland features. Reservoirs can expand and contract in both the channels and on the overland flow plane. Each physically simulated processes is allowed to interact with p y y p and be affected by the other physical processes. This allows for impacts and changes to be more realistically modeled.

Dynamic Reservoir Simulation

Why use GSSHA? Explicit Spatial Process Descriptions Spatially varied heterogeneity Explicitly resolve features in the grid Land use Soil type Depressions BMPs Roads Wetlands Track fate of water, sediment, contaminants along flow path Infiltration along path Settling/erosion along path Reactions along path

Why use GSSHA? Modeling changes in physical processes Converting from tile drained fields to wetlands is a change in the fundamental runoff mechanisms GSSHA simulates the actual runoff processes in their spatial context By simulating the physical processes we are able to model changes to the watershed that include Precipitation events outside the calibration range Changes in fundamental runoff generation mechanisms Changes in runoff transport mechanisms Resulting impacts to nutrient and sediment production and transport

Modeling Process Changes: Tile Drains and Wetlands Coon Creek Watershed JD31 Wetlands converted to agriculture Drainage ditch Tile drains Needed information Examine wetland restoration scenarios Assess stream flow impacts Unknowns/Uncertainty Subsurface information Tile drain system

Modeling Approach Apply the GSSHA model Couple the GAR infiltration model to the saturated groundwater model Groundwater consist of homogeneous material Represent only the major drainage system as streams with groundwater recharge Compute 0%,25%, % 50%, 75%, 100% restoration of wetlands

Results of Modeling Process Changes Resulting model able to history match flows resulting from surface water, groundwater, and drainage network Model rapidly assesses varying wetland restoration configurations

Urbanization and Wetlands Creation in the Kishwaukee Watershed

Watershed Overview Watershed Area: ~1100 mi 2 Fontana-on-Geneva Lake Stream Miles: ~1000 mi Overland flow Stream flow Infiltration Groundwater Tile Drains Detention Basin Wetland Hydraulics Rockford Rock River Belvidere Sycamore Woodstock Huntley Greater Chicago Area Fox River Geneva

Project Goals Develop Watershed Management Plan Placement of 1600 ac of wetlands Removal of tile drains Assess impacts of future land use

Impacts of Spatial Location: Wetlands Location Study

Wetlands Location Results Belvidere, Il 140 120 Flo w (cms) 100 80 60 40 No Wetlands Wetlands 1 Wetlands 2 Wetland 3 Wetland 4 20 0 0 1000 2000 3000 4000 5000 Time (min)

Spatial Hydrology: Dealing with Runoff Processes Changes Spatial effects of land use changes Where you put a commercial zone, detention basin, or wetland changes the hydrology Include engineered wetlands Include detention basins Planning and after the fact land use changes

Urbanization: Kishwaukee Watershed

Urbanization: Kishwaukee Watershed Results

Central Kishwaukee Flooding

Summary GSSHA is fully distributed, physics based watershed analysis and management tool. It can and has been used for a variety of analysis and engineering studies. The spatially explicit nature of the model allows user to directly incorporate important project features into the model. The physical basis allows parameter values to be logically adjusted d for changing conditions i land use, BMPs, climate conditions. The spatially explicit physics based approach offers advantages over simply models for analysis of conditions outside the range of calibration, changing, and inherently distributed processes such as sediment transport and non point source pollution.

New Orleans