Watershed Modeling and GIS Applications Jeff Arnold ARS- Temple, Texas.

Slides:



Advertisements
Similar presentations
A Model for Evaluating the Impacts of Spatial and Temporal Land Use Changes on Water Quality at Watershed Scale Jae-Pil Cho and Saied Mostaghimi 07/29/2003.
Advertisements

Quantitative information on agriculture and water use Maurits Voogt Chief Competence Center.
Nutrient Cycles in Ecosystems
©2003 Institute of Water Research, all rights reserved Water Quality Modeling for Ecological Services under Cropping and Grazing Systems Da Ouyang Jon.
Biogeochemical Cycles
REMM: Riparian Ecosystem Management Model USDA-Agricultural Research Service University of Georgia California State University – Chico USDA-Natural Resources.
Minnesota Watershed Nitrogen Reduction Planning Tool William Lazarus Department of Applied Economics University of Minnesota David Mulla Department of.
Interactions of Land Use and Global Environmental Change on Watershed-scale Processes Lars Pierce, Fred Watson, Melinda Mulitsch, Wendi Newman, Adrian.
Introduction The agricultural practice of field tillage has dramatic effects on surface hydrologic properties, significantly altering the processes of.
Conservation Effects Assessment Project (CEAP) Measuring the Environmental Benefits of Conservation Managing the Agricultural Landscape for Environmental.
CHAPTER 3 -part 2- Biogeochemical Cycles
Land Use Change and Its Effect on Water Quality: A Watershed Level BASINS-SWAT Model in West Georgia Gandhi Raj Bhattarai Diane Hite Upton Hatch Prepared.
Environmental Impact Modeling of Food and Non-Food Crop Management for EU25 Erwin Schmid University of Natural Resources and Applied Life Sciences Vienna.
A FRAMEWORK FOR ASSESSING THE PERFORMANCE OF DWM AT LARGE SCALE MOHAMED A. YOUSSEF and R. WAYNE SKAGGS 1 By.
Introduction The agricultural practice of field tillage has dramatic effects on surface hydrologic properties, significantly altering the processes of.
WaterBase Free, Open Source Software for Integrated Water Resources Management Chris George and Luis Leon.
Soil and the Hydrologic Cycle Read Ch 6 Brady and Weil Quiz 6 on Monday, Oct. 15.
Presented by Jason Afinowicz Biological and Agricultural Engineering Department, Texas A&M University CVEN 689 Applications of GIS to Civil Engineering.
Surface Water Simulation Group. Comprehensive watershed scale model developed and supported by the USDA-ARS capable of simulating surface and groundwater.
Hydrologic/Watershed Modeling Glenn Tootle, P.E. Department of Civil and Environmental Engineering University of Nevada, Las Vegas
Engineering Hydrology (ECIV 4323)
Hydrology and Water Resources Civil and Environmental Engineering Dept. Physically-based Distributed Hydrologic Modeling.
Utilization of the SWAT Model and Remote Sensing to Demonstrate the Effects of Shrub Encroachment on a Small Watershed Jason Afinowicz Department of Biological.
Soil Water Assessment Tool (SWAT) Model Input
Determining the effectiveness of best management practices to reduce nutrient loading from cattle grazed pastures in Utah Nicki Devanny Utah State University,
Nonpoint Source Pollution Reductions – Estimating a Tradable Commodity Allen R. Dedrick Associate Deputy Administrator Natural Resources & Sustainable.
Fundamentals of River Restoration and Salmonid Fisheries OWEB, 1999, Fundamentals of River Restoration and Salmonid Fisheries OWEB, 1999, Fundamentals.
Impact of Climate Change on Flow in the Upper Mississippi River Basin
Chesapeake Bay Program Incorporation of Lag Times into the Decision Process Gary Shenk 10/16/12 1.
VIC: large-scale land surface hydrology ColSim: reservoir operations CropSyst: cropping systems.
Assessment of the Pra and White Volta River Basins to water stress conditions under changing climate Emmanuel Obuobie, Kwabena Kankam-Yeboah, Barnabas.
Impact of biofuel production on hydrology: A case study of Khlong Phlo Watershed in Thailand BIKESH SHRESTHA ID108202(WEM/SET) Committee Members: Dr. Mukand.
Soil Productivity and Conservation THE GMIS. Importance of Soil As the key resource in crop production It supports the physical, chemical, and biological.
Riparian- Flood Plain Model  Landscape Analysis Model Inputs  SWAT Modifications REMM Additions  Current Plans.
Predicting Sediment and Phosphorus Delivery with a Geographic Information System and a Computer Model M.S. Richardson and A. Roa-Espinosa; Dane County.
E. Priesack and S. Gayler Workshop Halle Sept Modelling Soil-Plant-Atmosphere Interactions of the long-term experiment Bad Lauchstädt.
Watershed Management Assessment Through Modeling: SALT and CEAP Dr. Claire Baffaut Water Quality Short Course Boone County Extension Office April 12, 2007.
Modeling experience of non- point pollution: CREAMS (R. Tumas) EPIC (A. Povilaitis and R.Tumas SWRRBWQ (A. Dumbrauskas and R. Tumas) AGNPS (Sileika and.
MODELING THE IMPACT OF IRRIGATION ON NUTRIENT EXPORT FROM AGRICULTURAL FIELDS IN THE SOUTHEASTERN UNITED STATES W. Lee Ellenburg Graduate Research Assistant.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Hydrologic and Water Quality Modeling of the Chesapeake Bay Watershed Huan.
CE 424 HYDROLOGY 1 Instructor: Dr. Saleh A. AlHassoun.
Twinning water quality modelling in Latvia Helene Ejhed
Engineering Hydrology (ECIV 4323)
Watersheds Chapter 9. Watershed All land enclosed by a continuous hydrologic drainage divide and lying upslope from a specified point on a stream All.
The SWAT Model Mauro Di Luzio, TAES-BREC Blackland Research and Extension Center, Temple, TX Jeff Arnold, USDA-ARS Grassland Research and Extension Center,
Invest Nutrient Retention model Yonas Ghile.
U.S. Department of the Interior U.S. Geological Survey Norman B. Bliss, ASRC Federal InuTeq Contractor to the USGS 6/4/2015 A continental view of soil.
Understanding hydrologic changes: application of the VIC model Vimal Mishra Assistant Professor Indian Institute of Technology (IIT), Gandhinagar
The NOAA Hydrology Program and its requirements for GOES-R Pedro J. Restrepo Senior Scientist Office of Hydrologic Development NOAA’s National Weather.
Data Sources for GIS in Water Resources by David R. Maidment, David G. Tarboton and Ayse Irmak GIS in Water Resources Fall 2009.
Data Sources for GIS in Water Resources by David R. Maidment, David G. Tarboton and Ayse Irmak GIS in Water Resources Fall 2011.
™ Nutrient Management Planning ¨ Will these be mandated in your state?  An emerging national issue is how to account for agricultural non-point source.
Modeling diffuse soil contamination from agriculture.
Chapter 11 Water. Properties of water that are important to know for Environmental Science Water is a polar molecule Surface tension Capillary action.
Fine-Resolution, Regional-Scale Terrestrial Hydrologic Fluxes Simulated with the Integrated Landscape Hydrology Model (ILHM) David W Hyndman Anthony D.
Estimating Groundwater Recharge in Porous Media Aquifers in Texas Bridget Scanlon Kelley Keese Robert Reedy Bureau of Economic Geology Jackson School of.
October 12, 2015 Iowa State University Indrajeet Chaubey Purdue University Water Quality.
Data Sources for GIS in Water Resources by David R. Maidment, David G
Modeling of Critical Areas for DRP Runoff and Targeting Strategies
Kristina Schneider Kristi Shaw
Effect of Potential Future Climate Change on Cost-Effective Nonpoint Source Pollution Reduction Strategies in the UMRB Manoj Jha, Philip Gassman, Gene.
Whole Farm Simulation and Nutrient Management USDA, Agricultural Research Service University Park, Pennsylvania C. Alan Rotz USDA / ARS.
Precision Management beyond Fertilizer Application Hailin Zhang.
Load Estimation Using Soil and Water Assessment Tool (SWAT)
Corn Yield Comparison Between EPIC-View Simulated Yield And Observed Yield Monitor Data by Chad M. Boshart Oklahoma State University.
Hydrology for Nutrient Management Joshua W. Faulkner, PhD WVU-Extension Fundamentals of Nutrient Management Training Course December 16-17, 2009 *Portions.
Kristina Schneider Kristi Shaw
Data Sources for GIS in Water Resources by David R
Nitrogen Transport Estimates in the San Antonio River Basin
Data Sources for GIS in Water Resources
Presentation transcript:

Watershed Modeling and GIS Applications Jeff Arnold ARS- Temple, Texas

Subwatersheds Hydrologic Response Units Output from other Models - EPIC, SWAT Point Sources - Treatment Plants Possible Configurations Stream Delineation

Subbasins and Streams HRU’s 28% Range-Sandy 51% Pasture – Silt 16% Forest – Sandy 4% - Agriculture - Silt

Subbasins and Streams

SWAT Watershed System Channel/Flood Plain Processes

Root Zone Shallow (unconfined) Aquifer Vadose (unsaturated) Zone Confining Layer Deep (confined) Aquifer Precipitation Evaporation and Transpiration Infiltration/plant uptake/ Soil moisture redistribution Surface Runoff Lateral Flow Return Flow Revap from shallow aquifer Percolation to shallow aquifer Recharge to deep aquifer Flow out of watershed Hydrologic Balance

Root Zone Shallow (unconfined) Aquifer Vadose (unsaturated) Zone Confining Layer Deep (confined) Aquifer if Tile Flow

NO 3 - NH 4 + Soil Organic Matter NO 2 - manures, wastes and sludge ammonium fixation clay mineralization immobilization nitrification immobilization Symbiotic fixation NO 3 - anaerobic conditions N2N2ON2N2O NH 3 Atmospheric N fixation (lightning arc discharge) leaching fertilizer Harvest Nitrogen Cycle denitrification ammonia volatilization runoff

Pesticide Dynamics Foliar Application Degradation Washoff Infiltration Leaching Runoff Surface Application Degradation

Water, Nitrogen and Phosphorus Uptake Plant Growth Optimum Growth Radiation Interception LAI Radiation Use Efficiency Constraints Water, Temperature, Nitrogen, Phosphorus Residue – Cover and Nutrients Yield Prediction Harvest Index – Water Stress Residue – Cover and Nutrients Root Growth

Climate Change Radiation Use Efficiency Adjusted for CO 2 ET – Penman-Monteith Canopy Resistance Adjusted for CO 2 Impact on Leaf Conductance CGM Estimates of Precip, Temperature, Humidity, Solar Radiation, Wind Speed

 Crop Rotations  Removal of Biomass as Harvest/ Conversion of Biomass to Residue  Tillage / Biomixing of Soil  Fertilizer and Manure Applications  Edge-of-Field Buffers  Pesticide Applications  Irrigation  Water Impoundment (Wetlands, Rice) Management

Channel Processes

ArcView GIS Interface Topographic Inputs Subbasin Delineation Routing Structure Channel Slopes & Lengths Overland Slopes & Lengths Land Use Inputs Type – Ag, Forests, Range, Urban Management – Rotations Tillage, Irrigation, Fertilizer Soil Physical Properties Texture Bulk Density Water Capacity Conductivity Organic Carbon Weather Daily Precip and Max/Min Temp Monthly Radiation, Windspeed, Humidity

US EPA – Watershed Assessments NRCS – National Conservation Assessments Climate Change Water Supply – Irrigation Management Need for Models in the U.S.

U.S. Environmental Protection Agency 15,000 Water Bodies Identified as Impaired Plan to Restore Water Quality Standards Models/GIS Tools for Evaluating Management Strategies

Bosque River Watershed, Texas 8 Waste Water Treatment Plants 40,000 Dairy Cattle Water Supply Lake Excess Phosphorus

P Control Measures/Management Scenarios Dairy Management Scenarios: Haul Off, manure application at crop P requirement (P rate), reduction of dairy diet P to 0.4% (reduction in manure P content by 29%) WWTP Management Scenarios: Concentrations of total P in WWTP effluents were varied to 0.5, 1 and 2 mg/l Combined Management Scenarios: Combinations of dairy and WWTP scenarios to achieve reductions in loadings and concentrations

Dairy Scenarios: Concentrations showed reductions of 1 to 12%; Loadings showed reductions of 7 to 60% along the river WWTP Scenarios: Concentrations showed reductions of 21 to 78%; Loadings showed reductions of 4 to 50% along the river Benefits of dairy scenarios are better at reducing sol P loadings than concentration; WWTP scenarios showed greater benefits in reducing the concentration as opposed to total loadings Dairy and WWTP Scenarios

National Assessment of Conservation Programs Conservation Tillage Systems Buffers and Grass Waterways Manure and Fertilizer Management

Observed (USGS) SWAT Simulated Validation of Flow and Sediment

HUMUS Scenario Reduction due to 2 million miles of buffers Sediment Reduction Phosphorus Reduction Nitrogen Reduction

Data Availability in the U.S. Inputs for SWAT – Downloaded from Web 1:250,000 Scale Digital Elevation Model STATSGO Soils Data Land Use/Land Cover Daily Precipitation and Max/Min Temperatures

The National Elevation Dataset

The Shuttle Radar Topography Mission (SRTM) used radar instruments to collect data for the most detailed, near global topographic map of the Earth ever made 1 arc-second elevation data for the United States 3 arc-second data for the globe

1-arc second (30 meter) SRTM data postings of the continental United States can now be obtained in two ways via the USGS EDC Seamless Distribution System: Electronic Download Media (CD) Updated 21 May 2003 USGS is now distributing elevation data from SRTM for South America and North America - 90m resolution

STATSGO: Produced at 1:250,000 scale for entire US. Minimum mapping unit is 625 hectares. Soil Data - USDA-NRCS

STATSGO SSURGO ARS – Little Washita Experimental Watershed – 522 km 2

Land Use / Land Cover USGS LUDA data: Produced at 1:250,000 from aerial photography of early 1980s.

National Land Cover Dataset Mid-1990s Landsat Thematic Mapper satellite data 21-class land cover classification scheme 30 meter spatial resolution

Daily Precipitation and Temperature 6,000 Stations – 30+ Years

NEXRAD Doppler Radar Network

BLUE River Oklahoma

Model Validation Limited Validation at Application Watersheds Need Research Watersheds for Comprehensive Validation across Ecosystems Continuous Flow and Sediment Data – Yrs

USGS Water Watch Web access to USGS water resources data in real time

USGS National Water Information System Real-time and Historic Data –Streamflow and stage –Groundwater levels –Water Quality –Site information Tabular or Graphical Format