1 DETERMINATION OF SOURCES AND FLOWPATHS USING ISOTOPIC AND CHEMICAL TRACERS, GREEN LAKES VALLEY, ROCKY MOUNTAINS Fengjing Liu and Mark Williams Department.

Slides:



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

1 Water discharge rate is monitored continually. 2 Sampling of stream and drainage water is made automatically or by grab sampling weekly while groundwater.
PHYSICALLY BASED MODELING OF EXTREME FLOOD GENERATION AND ASSESSMENT OF FLOOD RISK L. S. Kuchment, A. N. Gelfan and V. N. Demidov Water Problems Institute.
Biogeochemical Tracers in Arctic Rivers: Linking the Pan-Arctic Watershed to the Arctic Ocean (The PARTNERS Project)
SCOPE OF DATA STREAM FLOW AND SOLUTE FLUXES Stream discharge gauging Stream water chemistry PRECIPITATION AND DEPOSITION NRCS Snow Survey and Snow Pillow.
Plot Scale © Oregon State University Isotope Hydrology Shortcourse Prof. Jeff McDonnell Richardson Chair in Watershed Science Dept. of Forest Engineering.
Runoff Processes Slides from Venkatesh Merwade and Suzanne Anderson Reading: Applied Hydrology Sections 5.1 and 5.2.
Hydrological Modeling for Upper Chao Phraya Basin Using HEC-HMS UNDP/ADAPT Asia-Pacific First Regional Training Workshop Assessing Costs and Benefits of.
Integrated Approaches for Runoff Forecasting Ashu Jain Department of Civil Engineering Indian Institute of Technology Kanpur Kanpur-UP, INDIA.
Lecture 21 Runoff (1) Sources and Components
Dr. Martin T. Auer Michigan Tech Department of Civil & Environmental Engineering Surface Water Supply.
Dr. Martin T. Auer Michigan Tech Department of Civil & Environmental Engineering Surface Water Supply.
The Hillslope-Stream Continuum Wed 4/22/2009. "The El Nino-Southern Oscillation and Global Precipitation Patterns: A View from Space" Dr. Scott Curtis.
Catchment Scale Streamflow Response to Climate Variability in the Rain-Snow Transition Zone of California's Sierra Nevada Mountains T.C. Harmon [1,2] and.
Pacific Southwest Research Station, Fresno, CA Kings River Experimental Watersheds KREW.
MIXING MODELS AND END-MEMBER MIXING ANALYSIS: PRINCIPLES AND EXAMPLES Matt Miller and Nick Sisolak Slides Contributed by: Mark Williams and Fengjing Liu.
Isotope mass balance – Mica Creek Paul Koeniger, Tim Link, John Marshall 03/28/2006 – Mica Creek Group Meeting Department of Forest Resources – University.
Hydrology The flow of water across and through near surface environments.
Summation of Biogeochemical Research of Sierra Nevada catchments Kate Samelson Kendra Morliengo-Bredlau Ben West Corey Lawrence.
ROCK GLACIERS, EMMA, NITRATE, MICROBES Mark Williams and others 2006 and 2007.
Development and Application of Geostatistical Methods to Modeling Spatial Variation in Snowpack Properties, Front Range, Colorado Tyler Erickson and Mark.
Hydrologic Mixing Models Ken Hill Andrew McFadden.
Mark Williams, CU-Boulder Using isotopes to identify source waters: mixing models.
MOUNTAINS AT RISK. Alpine areas: early warning indicators Organisms on edge of environmental tolerance Same processes as downstream forested and grassland.
Biological and Environmental Engineering Soil & Water Research Group Hydrological pathways in a glaciated watershed in the Catskill Mountains Adrian Harpold.
Mark Williams, CU-Boulder Forensic Hydrology. What is “Forensic Hydrology” Geoscientists are really “Geodectives” forensic geochemistry and forensic geology.
Hydrographs and Drainage Basins. Drainage Basins: A drainage basin is the catchment area of a river and its tributaries. The boundary of the catchment.
Niwot Ridge-Green Lakes Valley LTER Niwot Ridge-Green Lakes Valley LTER Site Matt Miller
Mercury Accumulation in Alpine Lakes, Colorado David Manthorne, USGS Mark Williams, CU-Boulder.
Hyporheic and Parafluvial Zones in… The Arctic Tundra!
DISSOLVED ORGANIC MATTER AND NITROGEN REDOX CHEMISTRY IN AQUATIC ALPINE ECOSYSTEMS Matt Miller Ph.D. Student Advisor: Diane McKnight.
Seasonal Changes in Biogeochemistry of a Natural Wetland Receiving Drainage from an Abandoned Mine Diane McKnight and Eric August – University of Colorado.
The Hyporheic Zone: Example of a field study Matt Miller Contributions from D. McKnight and N. Mladenov.
ASSESSING HILLSLOPE RESPONSE MECHANISMS USING STABLE ISOTOPES C. Freese, SA Lorentz, J van Tol & PAL le Roux 1 Centre for Water Resources Research, University.
1 HYDROGRAPH REVISION 1 This question type asks you to analyse the parts of the hydrograph in order to find out about the river basin and its reaction.
Combining GIS and GPS to Improve Our Understanding of the Spatial Distribution of Snow Water Equivalence Todd Ackerman Tyler Erickson Mark W. Williams.
Evaluating hydrological model structure using tracer data within a multi-model framework Hilary McMillan 1, Doerthe Tetzlaff 2, Martyn Clark 3, Chris Soulsby.
Seminar: Snowmelt and Storm Events: Biogeochemical and Hydrological Responses.
MIXING MODELS AND END-MEMBER MIXING ANALYSIS: PRINCIPLES AND EXAMPLES Mark Williams and Fengjing Liu Department of Geography and Institute of Arctic and.
VFR Research - R. Hudson Basic Hydrology Streamflow: Hydrographs; Case studies of logging effects on streamflow; Peak flow.
U.S. Department of the Interior U.S. Geological Survey End-Member Mixing Analysis Applied to the Karstic Madison Aquifer Using Water Chemistry in the Southern.
MIXING MODELS AND END-MEMBER MIXING ANALYSIS: PRINCIPLES AND EXAMPLES
Source waters and flow paths in an alpine catchment, Colorado, Front Range, United States Fengjing Liu, Mark W. Williams, and Nel Caine 2004.
HYDROGRAPH SEPARATION
HIGH-MOUNTAIN LAKES AS A HOT SPOT FOR PRODUCTION OF DISSOLVED ORGANIC MATTER IN A CHANGING CLIMATE Mark Williams, Diane McKnight, Eran Hood and Dave Manthorn.
Matt Miller and Diane McKnight Department of Civil, Environmental, and Architectural Engineering, CU-Boulder DOM processes in the Green Lakes Valley.
Hydrologic Hazards at the Earth’s Surface
END-MEMBER MIXING ANALYSIS: PRINCIPLES AND EXAMPLES Mark Williams and Fengjing Liu Department of Geography and Institute of Arctic and Alpine Research,
WESTERN MOUNTAINS AT RISK: WHEN DO WE KNOW ENOUGH TO LIMIT EMISSIONS?
 Before break, we discussed watersheds and what constitutes a watershed. How do you think water moves through a watershed?
Source waters, flowpaths, and solute flux in mountain catchments
QUANTIFYING UNCERTAINTY IN ECOSYSTEM STUDIES Carrie Rose Levine, Ruth Yanai, John Campbell, Mark Green, Don Buso, Gene Likens Hubbard Brook Cooperators.
Ch.4. Groundwater  Recharge in Arid Region Evaporation is significant, which can make a big enrichment in isotopic compositions Evaporative enrichment.
CE 3354 Engineering Hydrology Lecture 2: Surface and Groundwater Hydrologic Systems.
The Importance of Groundwater in Sustaining Streamflow in the Upper Colorado River Basin Matthew Miller Susan Buto, David Susong, Christine Rumsey, John.
Tracing Atmospheric Nitrate Deposition in a Complex Semiarid Ecosystem Using  17 O by Michalski, G., Meixner, T., Fenn, M., Hernandez, L., Sirulnik, A.,
END-MEMBER MIXING ANALYSIS: PRINCIPLES AND EXAMPLES Fengjing Liu University of California, Merced.
Sanitary Engineering Lecture 4
Predicting the hydrologic implications of land use change in forested catchments Dennis P. Lettenmaier Department of Civil and Environmental Engineering.
WETLANDS AT RISK: PROPOSED DEVELOPMENT AT WOLF CREEK PASS SKI AREA, CO Ashley Nielson and Mark Williams Institute of Arctic and Alpine Research and Department.
Water supply Flood prediction and forecasting. Water quality
PROCESS-BASED, DISTRIBUTED WATERSHED MODELS
HIGHER GEOGRAPHY Hydrosphere - Hydrographs.
Chemical Hydrograph Separation
MOUNTAINS AT RISK.
Lecture 21 Runoff (1) Sources and Components
Using isotopes to identify source waters: mixing models
Snow Water Equivalent vs. Stream Discharge Comparison
Comparison of Cations in Three Lakes
The Basics of Hillslope Hydrology with Examples from Tracer Studies in the Boulder Creek Critical Zone Observatory Eve-Lyn Hinckley Intro to Hydrology.
Presentation transcript:

1 DETERMINATION OF SOURCES AND FLOWPATHS USING ISOTOPIC AND CHEMICAL TRACERS, GREEN LAKES VALLEY, ROCKY MOUNTAINS Fengjing Liu and Mark Williams Department of Geography and Institute of Arctic and Alpine Research, University of Colorado, Boulder, CO80309

2 HYDROLOGIC FLOWPATHS  Generally, 4 paths  Change over time  Change over space

3 OBJECTIVES  understanding the mechanism of stream flow generation in snow-dominated alpine basins  determining uncertainties of hydrograph separation by using different mixing models and tracers

4 RESEARCH SITE AND SAMPLE COLLECTION  Stream water - weekly grab samples  Snowmelt - snow lysimeter  Soil solution - zero tension lysimeter Delta 18 O, DOC, Solutes

5 MASS BALANCE MODEL FOR WATER SOURCES AND FLOWPATHS C - tracer concentrations Q - discharge (runoff) i - tracers n - water source or flow path components t - stream flow How we use 2 to 4 component mixing model C i 1 Q 1 + C i 2 Q 2 + C i 3 Q C i n Q n = C i t Q t Q 1 + Q 2 + Q Q n = Q t

6 End-Member Mixing Analysis (EMMA) and PCA Tracer concentrations distinct - time series plots Tracers conservative - mixing diagram Number of components - PCA Qualification of end-member characterization EMMA solutions for hydrograph separation

7 SOURCE WATER SEPARATION - 2 COMPONENTS Calendar Day (1996) MartnelliGL4

8 RESULTS FOR FLOW SOURCES Calendar Day (1996) Martinelli GL4

9 FLOWPATH SEPARATION - EMMA MIXING DIAGRAM Mart

10 FLOWPATH SEPARATION - EMMA MIXING DIAGRAM GL4

11 FLOWPATH SEPARATION - QUALIFICATION OF 2C SEPARATION  Na +, Si, SO 4 2-, and K/Si are conservative at both catchments  2-component flowpath separations using Na +, Si, SO 4 2- are not successful in that characterization of the subsurface is difficult  Concentrations of those tracers vary a lot over soil horizons

12 FLOWPATH SEPARATION - K/Si Calendar Day (1996) GL4 Overland vs. subsurface flow

13 FLOWPATH SEPARATION - DOC GL4 Upper soil horizon vs. deeper flow

14 FLOWPATH SEPARATION - 4 COMPONENTS 2/25/39/34 GL4 Martinelli 2/16/77/5

15 EMMA PCA Diagram Martinelli GL4

16 4-C SEPARATION - EMMA SOLUTIONS MartinelliGL4 Methods 3-Tracers ( 18 O,K/Si,DOC) Least square optimization (Na,Si,SO4,K/Si, 18 O, DOC) PCA Projection (U) (Na,Si,SO4,K/Si, 18 O,DOC)

17 SUMMARY  New water accounts for 95% at Mart, while new water decreases to 65% at GL4  K/Si and DOC are efficient tracers to identify overland and upper soil horizon flow  3-tracer-4-component separation is superior to EMMA approach  Four flowpaths are successfully identified: overland, upper soil horizon, lower soil horizon, and base flow (2/16/77/5 at Mart; 2/25/39/34 at GL4)

18 THANK YOU!