Modeling Source-water Contributions to Streamflow

Slides:



Advertisements
Similar presentations
PROCESS-BASED, DISTRIBUTED WATERSHED MODELS New generation Source waters and flowpaths Physically based.
Advertisements

LTHIA – Upgrades and Training Bernard A. Engel Tong Zhai Larry Theller Agricultural and Biological Department Purdue University In conjunction.
Standard watershed and stream delineation recipe - Vector stream (ex. NHD data) fusion into DEM raster (burning in) - Sink removal - Flow direction - Flow.
CEE 795 Water Resources Modeling and GIS Learning Objectives: Perform raster based network delineation from digital elevation models Perform raster based.
Watershed Delineation and Characteristics on Alaska’s North Slope Matt Khosh University of Texas at Austin Department of Marne Science.
Pacific Southwest Research Station, Fresno, CA Kings River Experimental Watersheds KREW.
National Hydrography Data Use and Applications.
Digital Elevation Model based Hydrologic Modeling Topography and Physical runoff generation processes (TOPMODEL) Raster calculation of wetness index Raster.
Arc Hydro: GIS for Water Resources David R
Engineering Hydrology (ECIV 4323)
Soil Water Assessment Tool (SWAT) Model Input
SPARROW Water- Quality Modeling: Application of the National Hydrography Dataset What is SPARROW? Use of NHD SPARROW results By Craig Johnston and Richard.
GIS Tools for Watershed Delineation Public Policy Perspectives Teaching Public Policy in the Earth Sciences April 21, 2006 Gary Coutu Department of Geography.
Watershed Management Water Budget, Hydrograph Analysis
Flow Time Time Series Hydro FeaturesHydro Network Channel System Drainage System ArcGIS Hydro Data Model.
Digital Elevation Model Based Watershed and Stream Network Delineation Understanding How to use Reading
Introduction National Hydrography Dataset Plus (NHDPlus) Version 2.
ArcHydro – Two Components Hydrologic  Data Model  Toolset Credit – David R. Maidment University of Texas at Austin.
GIS in Watershed Analysis. Why watershed Analysis with GIS? Concepts Important datasets Analysis Tools.
Development of a Watershed-to- Very-Near-Shore Model for Pathogen Fate and Transport Sheridan K. Haack Atiq U. Syed Joseph W. Duris USGS, Lansing, MI.
Watershed delineation and data preparation for groundwater modeling using GIS in the Savannah River Site GIS term project presentation November 25, 2003.
Sources of streamflow from hillslopes Baseflow streamflow maintained by groundwater contributions Stormflow Augmented by direct precipitation on saturated.
DIGITAL ELEVATION MODELING GEOG 421: DR. SHUNFU HU, SIUE Project One Steve Klaas Fall 2013.
Engineering Hydrology (ECIV 4323)
Vision for the National Geospatial Framework for Surface Water Robert M. Hirsch Associate Director for Water U.S. Department of the Interior U.S. Geological.
Hydrology of Colorado Water By Travis Hoesli. Hydrology of Colorado Unit Learning Objectives Recognize the Hydrologic Cycle that affects Colorado Water.
Data Sources for GIS in Water Resources by David R. Maidment, David G. Tarboton and Ayse Irmak GIS in Water Resources Fall 2011.
Esri UC 2014 | Technical Workshop | Creating Watersheds, Stream Networks and Hydrologically Conditioned DEMS Steve Kopp Dean Djokic.
Building an OpenNSPECT Database for Your Watershed Shan Burkhalter and Dave Eslinger National Oceanic and Atmospheric Administration (NOAA) Office for.
Preparing input for the TOPKAPI (TOPographic Kinematic Approximation and Integration) model PRASANNA DAHAL.
Surface Water Surface runoff - Precipitation or snowmelt which moves across the land surface ultimately channelizing into streams or rivers or discharging.
The Future of NHDPlus 2009 NHD Stewardship Conference Denver, CO April 14-17, NHD Stewardship Conference Denver, CO April 14-17, 2009 Tommy Dewald.
Digital Elevation Model Based Watershed and Stream Network Delineation n Conceptual Basis n Eight direction pour point model (D8) n Flow accumulation n.
Soil Loss For Moody Creek, Idaho CEE 6440 GIS in Water Resources By: Ren Bagley.
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.
Utah State University GIS in Water Resources CEE 6440 Term Project
Precipitation-Runoff Modeling System (PRMS)
Grid-Based Modeling with Digital Elevation Models
Snowmelt Modeling using UEB and GIS
Snowfall Runoff Forecasting in San Juan County, UT
Hydrology of Colorado Water
Hydrologic Modeling for Watershed Analysis and River Restoration
National Hydro Data Programs
STREAM NETWORK DELINEATION USING ARC HYDRO AND TauDEM: A comparison of approaches using The Upper Sevier and the Little Bear River Basins Alphonce C. Guzha.
Arc Hydro for EPA Basins
PROCESS-BASED, DISTRIBUTED WATERSHED MODELS
Watershed Analysis.
Automation of Input data preparation of TOPNET model using Python
Digital Elevation Model Based Watershed and Stream Network Delineation
A Geographic Information System Tool for Hydrologic Model Setup
Digital Elevation Model Based Watershed and Stream Network Delineation
Data Sources for GIS in Water Resources by David R
Data Sources for GIS in Water Resources by David R
Terrain Analysis Using Digital Elevation Models
Modeling a Spatially Distributed Water Balance Using TOPMODEL
Terrain Analysis Using Digital Elevation Models (TauDEM)
TOPMODEL and the role of topography and variable contributing areas in runoff production Learning objectives Be able to describe the topographic wetness.
Upper Bear River Watershed Analysis using Topmodel
Regional Hydraulic Model for the City of Austin
Digital Elevation Model based Hydrologic Modeling
Environmental Modelling with RASTER DEMs: Hydrologic Features
Rainfall Runoff in the Guadalupe River Basin
Engineering Hydrology (ECIV 4323)
Data Sources for GIS in Water Resources
Development of a Hydrologic Model for the Wichita Falls District
CEE 6440 GIS in WATER RESOURCES
Engineering Hydrology (ECIV 4323)
Data Sources for GIS in Water Resources by Ayse Irmak, David R
Presentation transcript:

Modeling Source-water Contributions to Streamflow along a Stream-Lake-Stream Couplet in a Mountain Watershed Christopher D. Arp Dept. of Biology and The Ecology Center Utah State University GIS in Water Resources term project - November 2002

understanding and predicting how linkages between lakes and streams effect aquatic ecosystem structure and function My Research: hydrologic controls on N cycling hillslope-to-stream scale stream-reach scale watershed scale TOPMODEL GISWR termproject

Watershed Hydrology (TOPMODEL) source-water volumes [V] Mixing Model CTVT = CsurfVsurf + CsoilVsoil + CgwVgw surface runoff (surf) soil water (soil) groundwater (gw) soil water groundwater Nitrogen Flux surface runoff Watershed Chemistry (endmember sampling) source-water concentrations [C] Time Goals Understanding: watershed processes and stream biogeochemistry Application: land-use, aquatic ecosystems, & water quality

TERM PROJECT OBJECTIVES Review of TOPMODEL applications for hydrochemical modeling Acquire necessary data (input & validation) Prepare DEM using TauDEM Analysis of study catchments using tools in ArcGIS & TauDEM

INPUT DATA (spatial) Topography & Hydrography Soils (porosity) Digital Elevation Model (DEM) – 30 m USGS National Elevation Dataset http://edcnts12.cr.usgs.gov/ned Drainage Network National Hydrography Dataset http://nhd.usgs.gov/data.html Soils (porosity) County Soils Database (SSURGO) – NO DICE! http://www.ftw.nrcs.usda.gov/ssurgo_data.html State Soils Database (STATGO) – 1:250,000 NG! http://www.ftw.nrcs.usda.gov/stat_data.html

INPUT DATA (climate) Temperature (daily) Rainfall & on-site weather station (~ 2130 m) Rainfall & Snow Water Equivalents (daily) NRCS SNOTEL STATION (Banner Summit – 312) http://www.wcc.nrcs.usda.gov/snotel/snotel .pl?sitenum=312&state=id Proximity: N44.30, W115.23 (~2150 m)

VALIDATION & CALIBRATION DATA (streamflow)

DEM PROCESSING STEPS Project DEM & NHD datasets – UTM zone 11 Fill Pits, D8 & Dinf Directions, & Contributing Areas River Network Delineation Compare NHD network to DEM generated network, edit channel network and “burn-in” new network Stream delineation and constant drop test Add catchment outlets Delineate catchments and subbasins Calculate wetness index and flow path lengths

Network Discrepancy Edited Network

Raw Spatial Data TOPsetup Ready

What Next? Get soils data Determine which version of TOPMODEL is best for this application Run TOPsetup (if Tarboton version of TOPMODEL is selected) Determine appropriate submodels for ET and snowmelt 5. Run TOPMODEL and compare results to empirical Q data 6. Etc, Etc, Etc