M. Stone, J. Stormont, E. Epp, C. Byrne, S. Rahman, R. Powell, W

Slides:



Advertisements
Similar presentations
Hydrology Rainfall - Runoff Modeling (I)
Advertisements

InVEST Sediment Retention Model Estimate the amount of watershet erosion and sedimentation and its economic impact on hydropower production and water quality.
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.
Soil Erosion Estimation TSM 352 Land and Water Management Systems.
Soil Mapping and Erosion
Streamflow and Runoff The character, amount, and timing of discharge from a basin tells a lot about flow paths within the basin Therefore, important to.
Introduction The agricultural practice of field tillage has dramatic effects on surface hydrologic properties, significantly altering the processes of.
CHARACTERISTICS OF RUNOFF
Hydrological Modeling for Upper Chao Phraya Basin Using HEC-HMS UNDP/ADAPT Asia-Pacific First Regional Training Workshop Assessing Costs and Benefits of.
Useful Tools for Predicting Erosion from Disturbed Rangelands: Disturbed WEPP for Rangelands The Water Erosion Prediction Project in the Forest Service.
October 5, 2005, The 4th IAHR Symposium on River, Coastal and Estuarine Morphodynamics Field Observation and WEPP Application for Sediment Yield in an.
Some of my current research: Modeling sediment delivery on a daily basis for meso-scale catchments: a new tool: LAPSUS-D By: Saskia Keesstra and Arnaud.
GeoWEPP ArcGIS 10.1 Development Team LESAM Lab Team
Erosion Control Short Course Monday, April 23, 2012 San Luis Obispo City/County Library Ron Harben, Project Director California Association of Resource.
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.
Surface Water Transport and Groundwater Infiltration Comparing Characteristics of Post Reclamation Channels with Preexisting Channels Presented by: Kirsty.
Forest Hydrology Issue: Interaction of forests, fish, and climate One of the dominant pathways by which land cover change affects freshwater fish habitat.
FE Watershed Analysis Lecture 1a - Overview Finn Krogstad UW Forest Engineering
Hydrologic/Watershed Modeling Glenn Tootle, P.E. Department of Civil and Environmental Engineering University of Nevada, Las Vegas
U.S. EPA: NCEA/Global Change Research Program Jim Pizzuto and students University of Delaware Changing Climate and Land Use in the Mid-Atlantic: Modeling.
Lecture ERS 482/682 (Fall 2002) Erosion and sediment transport ERS 482/682 Small Watershed Hydrology.
A Distributed Flash Flood Forecasting Rainfall- Runoff Model Applied to Watersheds in the Northeast United States Michael Schaffner NOAA National Weather.
Soil Erosion: Causes, Control & Estimation AGME Fundamentals of Agricultural Systems Technology Photos courtesy of NRCS of USDA.
Kristie J. Franz Department of Geological & Atmospheric Sciences Iowa State University
FNR 402 – Forest Watershed Management
Ag. & Biological Engineering
Mokelumne Avoided Cost Analysis Technical Committee Meeting: GeoWEPP modeling 1/9/2013 Mary Ellen Miller Michigan Tech Research Institute Bill Elliot,
Predicting Sediment and Phosphorus Delivery with a Geographic Information System and a Computer Model M.S. Richardson and A. Roa-Espinosa; Dane County.
Sediment Retention model
Runoff Pond Design, Lutsen, MN By Mark Greve. Problem Poplar River increases in sediment load near Lutsen ski hills Structure needed to slow flow and.
August 20th, CONTENT 1. Introduction 2. Data and Characteristics 3. Flood analysis 1. MOUSE 2. SOBEK 3. ARC-SWAT 4. Conclusions and suggestions.
Level IB: Advanced Fundamentals Seminar
WEPP—A Process-Based Hydrology and Erosion Model for Watershed Assessment and Restoration Joan Q. Wu, Markus Flury, Shuhui Dun, R. Cory Greer Washington.
Temporal and spatial patterns of basin scale sediment dynamics and yield.
Watershed Assessment and Planning. Review Watershed Hydrology Watershed Hydrology Watershed Characteristics and Processes Watershed Characteristics and.
PREDICTION OF SOIL LOSSES. EMPIRICAL WATER EROSION FORMULAS A= k s 0,75 L 1,5 I 1,5 (Kornev,1937) A= k s 1,49 L 1,6 (Zingg,1940) A= k s 0,8 p I 1,2 (Neal,1938)
Oregon Case Studies Ryan Johnson. Studies  The response of impounded sediment to a culvert replacement project on Sutter Creek, a tributary of Honey.
Modeling experience of non- point pollution: CREAMS (R. Tumas) EPIC (A. Povilaitis and R.Tumas SWRRBWQ (A. Dumbrauskas and R. Tumas) AGNPS (Sileika and.
May 6, 2015 Huidae Cho Water Resources Engineer, Dewberry Consultants
Augustine Avwunudiogba Department of Geography MODELING SOIL EROSION RIO PANUCO BASIN, MEXICO.
1 Evaluating and Estimating the Effect of Land use Changed on Water Quality at Selorejo Reservoir, Indonesia Mohammad Sholichin Faridah Othman Shatira.
WUP-FIN training, 3-4 May, 2005, Bangkok Hydrological modelling of the Nam Songkhram watershed.
Effect of Spatial Variability on a Distributed Hydrologic Model May 6, 2015 Huidae Cho Water Resources Engineer, Dewberry Consultants Part-Time Assistant.
Assessment of Runoff, Sediment Yield and Nutrient Load on Watershed Using Watershed Modeling Mohammad Sholichin Mohammad Sholichin 1) Faridah Othman 2)
Timeline Impaired for turbidity on Minnesota’s list of impaired waters (2004) MPCA must complete a study to determine the total maximum daily load (TMDL)
Watersheds Chapter 9. Watershed All land enclosed by a continuous hydrologic drainage divide and lying upslope from a specified point on a stream All.
Introduction Conservation of water is essential to successful dryland farming in the Palouse region. The Palouse is under the combined stresses of scarcity.
Using GIS and the PSIAC Method to Predict Watershed Sediment Yield Rates Eric Berntsen.
Watershed Experiments Lab 3. Watersheds Several different designs –Single watershed (data for modeling) –Nested (evaluate accumulated effects) –Paired.
EROSION- The transport of weathered materials…. Major Erosive Agents: Running Water GLACIERS WIND OCEAN CURRENTS AND WAVES MASS WASTING (GRAVITY!)
Surface Water Surface runoff - Precipitation or snowmelt which moves across the land surface ultimately channelizing into streams or rivers or discharging.
InVEST Sediment Retention
Using GIS to Manage Agricultural Fields and Soil Erosion Nick Stadnyk - Applied Data Consultants, Inc.
RACC High School Training June 26, 2012 Jody Stryker University of Vermont Introduction to Watershed Hydrology.
Sanitary Engineering Lecture 4
Predicting the hydrologic implications of land use change in forested catchments Dennis P. Lettenmaier Department of Civil and Environmental Engineering.
SOIL EROSION ASSESSMENT Measurement of Water Erosion Universal Soil Loss Equation (USLE) - predict annual soil loss by water – Wischmeier and Mannering,
Estimating Annual Sediment Yield and a Sediment Delivery Ratio for Red Creek, Utah and Wyoming Paul Grams Department of Geography and Earth Resources.
Computer Aided Simulation Model for Instream Flow and Riparia
Precipitation-Runoff Modeling System (PRMS)
Kristina Schneider Kristi Shaw
Application of soil erosion models in the Gumara-Maksegnit watershed
Estimation of Runoff & nonpoint source pollution using GIS techniques
Soil Loss Estimation. USLE – Universal Soil Loss Equation SLEMSA – Soil Loss Estimation Model for Southern Africa.
Predicting the hydrologic and water quality implications of climate and land use change in forested catchments Dennis P. Lettenmaier Department of Civil.
Overview of Models & Modeling Concepts
Chapter 3 Soil Erosion and Its Controls
Review: overland water erosion
LA06 Assessment of Impacts and Adaptation Measures for the Water Resources Sector Due to Extreme Events Under Climate Change Conditions. REGIONAL PROJECT.
Assessment of climate change impacts on semi-arid watersheds in Peru
Presentation transcript:

Evaluation of Geomorphic Reclamation Performance and Models in the Southwestern United States M. Stone, J. Stormont, E. Epp, C. Byrne, S. Rahman, R. Powell, W. Rider, and S. Perkins Presented by Colin Byrne, June 5th, 2013 2013 Joint Conference 2nd Wyoming Reclamation and Restoration Symposium and 30th Annual Meeting of the American Society of Mining & Reclamation

Study Background 2 year study began in August 2012 Funded by Office of Surface Mining Working in collaboration with BHP-Billiton La Plata Mine Results and Conclusions will be developed as research continues

La Plata Mine, New Mexico Open pit mine that produced coal until 2002 Over 800 hectares in size Approx. 6000 ft elevation Approx. 12 inches of annual precipitation Reclaimed using GeoFluvTM approach

Objectives Evaluate the effectiveness of geomorphic reclamation at producing conditions that closely mimic those found in natural analog basins and channels Assess the effectiveness of watershed models in informing the geomorphic reclamation process Water Erosion Prediction Project (WEPP) Sediment, Erosion, Discharge by Computer Aided Design (SEDCAD) Investigate the long-term stability of reclaimed land including the impacts of extreme events

Selection of Watersheds Three watersheds selected due to similarities in slope, aspect, and size Well Vegetated Reclaimed Site Moderately-Vegetated Reclaimed Site Undisturbed Natural Site Watersheds sit within 2.5 km of one another

Selection of Watersheds Moderately Vegetated Reclaimed Watershed Well Vegetated Reclaimed Watershed Undisturbed Natural Watershed

Objective 1 Evaluate the effectiveness of geomorphic reclamation at producing conditions that closely mimic those found in natural analog basins and channels

Field Sampling In situ soil measurements Disturbed soil sampling Temperature Moisture content Vegetation Disturbed soil sampling Particle size distribution Specific gravity Organic matter Cation exchange capacity Undisturbed soil sampling Saturated hydraulic conductivity Water retention curves Check-dams installed V-notch weirs installed

Field Sampling

Field Site Soil Characteristics

Field Site Soil Characteristics

Objective 2 Assess the effectiveness of watershed models in informing the geomorphic reclamation process How well do the models predict runoff and erosion totals from sites? How much field collected data is necessary to produce reasonable results?

Water Erosion Prediction Project (WEPP) Development by the USDA began in 1985 to expand upon the Universal Soil Loss Equation (USLE) USLE – gives annual erosion predictions WEPP – spatial and temporal information about erosion and deposition on a hillslope or watershed

Applications of WEPP Agricultural Sites Forested Sites Rangeland Sites Geomorphic Reclamation Sites at La Plata Mine

WEPP Overview Model Inputs Define the Topography Hillslope Watershed Channels, hillslope, impoundments, outlets Climate data Soil data Vegetation management Model Output (annual basis) Runoff Volumes and Hydrographs Sediment yields Characteristics of Eroded Sediment

Delineation of Watersheds

Study Watersheds at La Plata Mine 0 to 100 % slope

Importing Watersheds to WEPP Model

Defining Hillslopes Hillslope defined by cross-section taken in Arc-GIS Hillslope defined by 10 equidistant slope points Hillslope defined by simplified S-shape using average slope

WEPP Watershed Approaches Natural, Well Vegetated, & Moderately Vegetated Cross-section Hillslope 10 slope points Hillslope Simplified S-shape Hillslope

Initial WEPP Results WEPP model unable to handle the complexities of the cross-sectional description of the hillslope

WEPP Runoff Prediction

WEPP Erosion Prediction – Hillslope Approaches

WEPP Erosion Prediction – Watershed Approaches

Effects of Increased Vegetation at Reclaimed Sites

Future Work Future research using GeoWEPP will aid in more accurate watershed delineation methods. WEPP is limited to rectangular shaped hillslopes in addition to limited access points along channels

Objective 3 Investigate the long-term stability of reclaimed land including the impacts of extreme events

Conclusions Early model runs hint that geomorphic reclamation sites are successful in producing erosion totals similar to natural basins WEPP hillslopes and watersheds can not be too complex, as the model will over predict sediment yields Check-dams and V-notch weirs should help to inform the accuracy of model predictions, as well as aid in calibration of model

Acknowledgements

Questions?