U.S. Department of the Interior U.S. Geological Survey U.S. Department of the Interior U.S. Geological Survey Scenario generation for long-term water budget.

Slides:



Advertisements
Similar presentations
Surface Water Quantity Model Development Connely Baldwin USU.
Advertisements

Application of the FEWS Stream Flow (SF) Model to the Limpopo Basin, Mozambique Final Report Tanya Hoogerwerf.
URBAN FLOOD MODELING Concepts & Models. 2 Different Approaches For Modeling an Urban Flood Hydrological Approach Objective is to generate a storm hydrograph.
The NAM Model. Evaporation Overland flow The excess rainfall is divided between overland flow and infiltration.
Runoff and Streamflow P Q
Runoff Processes Daene C. McKinney
Engineering Hydrology (ECIV 4323)
Investigation of Seasonal Hydrology and Variable Source Areas within Regions of Ontario Ramesh Rudra (R.P. Rudra, B. Gharabaghi, S, Gregori, W.T. Dickinson)
U.S. Department of the Interior U.S. Geological Survey Lake Evaporation using Energy Budget Method: Walker Lake, NV - a case study In cooperation with.
Continuous Hydrologic Simulation of Johnson Creek Basin and Assuming Watershed Stationarity Rick Shimota, P.E. Hans Hadley, P.E., P.G. The Oregon Water.
Nidal Salim, Walter Wildi Institute F.-A. Forel, University of Geneva, Switzerland Impact of global climate change on water resources in the Israeli, Jordanian.
Climate Change, Biofuels, and Land Use Legacy: Trusting Computer Models to Guide Water Resources Management Trajectories Anthony Kendall Geological Sciences,
Digital Elevation Model based Hydrologic Modeling Topography and Physical runoff generation processes (TOPMODEL) Raster calculation of wetness index Raster.
Hydrology The flow of water across and through near surface environments.
Chapter One Hydrologic Principles Flashlight and globe.
Hydrologic/Watershed Modeling Glenn Tootle, P.E. Department of Civil and Environmental Engineering University of Nevada, Las Vegas
Engineering Hydrology (ECIV 4323)
A Discussion of Groundwater Modeling and Climate Change By Leslie Llado.
Application of Stage IV Precipitation Data to Estimate Spatially Variable Recharge for a Groundwater Flow Model Heather Moser Mentor: Dr. William Simpkins.
Opportunities for Development of a Global Water Information System David R. Maidment, University of Texas at Austin Definition of an information system.
Kristie J. Franz Department of Geological & Atmospheric Sciences Iowa State University
Using LiDAR, “WATER”, and TOPMODEL TOPO-DRIVEN HYDROLOGY.
WaterSmart, Reston, VA, August 1-2, 2011 Steve Markstrom and Lauren Hay National Research Program Denver, CO Jacob LaFontaine GA Water.
Great Valley Water Resources Science Forum
National Weather Service River Forecast System Model Calibration Fritz Fiedler Hydromet 00-3 Tuesday, 23 May East Prospect Road, Suite 1 Fort.
U.S. Department of the Interior U.S. Geological Survey Alabama Water Science Center StreamStats: By Kernell Ries and J.
Watershed Management Water Budget, Hydrograph Analysis
The use of a streamflow hydrograph to estimate ground-water recharge and discharge in humid settings By Al Rutledge U.S. Geological Survey Geological Society.
The National Water Census * Part of the Initiative Overview of the Delaware River Basin Focus Area Study Jeffrey M Fischer
Hydrology Laboratory Research Modeling System (HL-RMS) Introduction: Office of Hydrologic Development National Weather Service National Oceanic and Atmospheric.
These notes are provided to help you pay attention IN class. If I notice poor attendance, fewer notes will begin to appear on these pages 1.
Watershed Hydrology Modeling: What is Considered Calibrated? Presented by: Jeremy Wyss, HIT Tetra Tech Presented by: Jeremy Wyss, HIT Tetra Tech 27 th.
Land Cover Change and Climate Change Effects on Streamflow in Puget Sound Basin, Washington Lan Cuo 1, Dennis Lettenmaier 1, Marina Alberti 2, Jeffrey.
Application of GIS and Terrain Analysis to Watershed Model Calibration for the CHIA Project Sam Lamont Robert Eli Jerald Fletcher.
Study on scaling property of Topindex and the aquifer rating-curve in Illinois with the application of TopModel CE394K Term Project Presentation CE394K.
CE 424 HYDROLOGY 1 Instructor: Dr. Saleh A. AlHassoun.
Sources of streamflow from hillslopes Baseflow streamflow maintained by groundwater contributions Stormflow Augmented by direct precipitation on saturated.
Engineering Hydrology (ECIV 4323)
U.S. Department of the Interior U.S. Geological Survey Jim Nicholas, Center Director USGS Michigan Water Science Center U.S. Department of the Interior.
The NOAA Hydrology Program and its requirements for GOES-R Pedro J. Restrepo Senior Scientist Office of Hydrologic Development NOAA’s National Weather.
A Soil-water Balance and Continuous Streamflow Simulation Model that Uses Spatial Data from a Geographic Information System (GIS) Advisor: Dr. David Maidment.
Fine-Resolution, Regional-Scale Terrestrial Hydrologic Fluxes Simulated with the Integrated Landscape Hydrology Model (ILHM) David W Hyndman Anthony D.
Introduction to the TOPMODEL
U.S. Department of the Interior U.S. Geological Survey USGS Kentucky Water Science Center.
U.S. Department of the Interior U.S. Geological Survey Montana StreamStats An overview of Montana StreamStats and methods for obtaining streamflow characteristics.
Surface Water Surface runoff - Precipitation or snowmelt which moves across the land surface ultimately channelizing into streams or rivers or discharging.
U.S. Department of the Interior U.S. Geological Survey Reston, Virginia (703) NHD Flow and Velocity Project Greg Schwarz, Reston,
CE 374 K – Hydrology Second Quiz Review Daene C. McKinney.
Surface Water Applied Hydrology. Surface Water Source of Streamflow Streamflow Characteristics Travel Time and Stream Networks.
DIRECT RUNOFF HYDROGRAPH FOR UNGAUGED BASINS USING A CELL BASED MODEL P. B. Hunukumbura & S. B. Weerakoon Department of Civil Engineering, University of.
TOP_PRMS George Leavesley, Dave Wolock, and Rick Webb.
Sanitary Engineering Lecture 4
BUILDING AND RUNNING THE HYDROLOGICAL MODEL
CEE 3430, Engineering Hydrology David Tarboton
Application of TOPMODEL GIS for Bear River Watershed
TOPMODEL and the role of topography and variable contributing areas in runoff production Learning objectives Be able to define and compute the topographic.
Simulation of stream flow using WetSpa Model
Utah State University GIS in Water Resources CEE 6440 Term Project
Engineering Hydrology (ECIV 4323)
PROCESS-BASED, DISTRIBUTED WATERSHED MODELS
CEE 3430, Engineering Hydrology David Tarboton
Ali Fares Associate Professor of Watershed Hydrology
A Geographic Information System Tool for Hydrologic Model Setup
Digital Elevation Model based Hydrologic Modeling
Upper Bear River Watershed Analysis using Topmodel
Digital Elevation Model based Hydrologic Modeling
Engineering Hydrology (ECIV 4323)
Engineering Hydrology (ECIV 4323)
HEC-HMS Runoff Computation Modeling Direct Runoff with HEC-HMS Empirical models Empirical models - traditional UH models - traditional UH models - a.
GHOST (Generic Hydrologic Overland-Subsurface Toolkit)
Presentation transcript:

U.S. Department of the Interior U.S. Geological Survey U.S. Department of the Interior U.S. Geological Survey Scenario generation for long-term water budget analysis using the TOPMODEL rainfall-runoff model 2007 Alabama Water Resources Conference Perdido Beach Resort, Orange Beach, Alabama

Q out Direct Infiltration Precipitation Evaporation ET Baseflow Saturated Areas Water Cycle

TOPMODEL Overview  TOPography-based hydrological MODEL  Developed by Beven and Kirkby, 1979  “Physically-based watershed model that simulates the variable-source-area concept of streamflow generation.” (Wolock, 1993)  Many variations/improvements to the original model since 1979  Three fundamental assumptions Beven, K.J. and M.J. Kirkby A physically based, variable contributing area model of basin hydrology. Hydrological Sciences Bulletin, v. 24, pp Wolock, David M Simulating the variable-source-area concept of streamflow generation with the watershed model TOPMODEL. USGS WRI

TOPMODEL assumptions  Steady-state recharge to the groundwater  Hydraulic gradient of the water table is approximately equal to the surface slope  Transmissivity profile is exponential with depth

TOPMODEL topographic wetness index (TWI) High values of TWI High potential for saturation Low values of TWI Low potential for saturation Grid cells with the same TWI are hydrologically similar TWI = ln(a/tan b)

TOPMODEL topographic wetness index (TWI) Calculations need not be performed on every single grid cell. Grid cells with approximately the same TWI have similar hydrologic response

Mean TWI = 14 Mean TWI = 11 Mean TWI = 15 Mean TWI = 12 General concept of TWI 10-m cell

TOPMODEL Code  FORTRAN Code used by Leon Kaufmann and Dave Wolock (TOPMODEL executable)  Java GUI, Pre- and Post-processing, provides a Java wrapper for the TOPMODEL executable  ArcMap used to create topographic wetness index ASCII grid file

TOPMODEL Features  Hydrographs on a daily time step  Monthly and annual water balances  Breakdown or flow components  Flow duration curves  Flow statistics and TNC IHA analysis  Hydrologic conditions can be mapped back using the topographic indices  Future “What-if” scenarios

Partial list of Basin Characteristics  Total area  Lake area  Stream length  Soil depth  Permeability  Water holding capacity  Field capacity  Porosity  Percent impervious (S)  Centroid latitude (ET)  Groundwater withdrawal (S)  Surface water withdrawal (S)  Surface discharge (S)  Area upstream of lakes  Depth of root zone

Basin information 12-digit HUCs Topographic Index Basin Characteristics

TOPMODEL User Interface Levels Future Scenario Hydrographs Calibration Single (S) or Nested (N) Basin Scenario-1 Scenario-n Basin Characteristics

Program Flow Watershed Linkage Wetness Index Builder User Request S or N? Basin Characteristics TOPMODEL OUTPUT OPTIONS ___________ Hydrographs Statistics Flow Duration Tabular Graphical Climate Data Edits for Scenarios

TOPMODEL Basin Characteristics + Edit basin characteristics + Save and Retrieve different basin characteristics files + Access the scenario builder

Future Scenarios (Forecasting and What-ifs)  Climate variability  Long-term trends in precipitation  Long-term trends in temperatures  Population and Land use  Impervious area  Surface water withdrawals  Groundwater withdrawals  Surface water discharges

TOPMODEL Scenario Builder Tab access to scenarios Static Trend Seasonal Step

Historical climate record Historical record used to build a future scenario or use past extreme events directly

Rainfall Scenario Using a historical record and assuming a stationary mean, Adjust the annual totals to some trend.

TOPMODEL Main Menu + User friendly + Choose State + Choose gage + Message log reports status and errors

Hydrograph overlay

Flow duration overlay

Work-in-progress  Calibration statistics  Correlation coefficient  Mean absolute error  Bias  Std Err of estimate  Nash-Sutcliffe model-fit efficiency  Flow statistics  Low-flow  Peak-flow  Graphics  Monthly water balance  Annual water balance  Custom plotting menu  Karst component