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Part 2: emma and pca emma notation
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tarix | 01.08.2018 | ölçüsü | 3,16 Mb. | | #59998 |
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EMMA Notation Over-Determined Situation Orthogonal Projection Notation of Mixing Spaces Steps to Perform EMMA
For EMMA, we use end-members instead of components to describe water contributing to stream from various compartments and geographic areas End-members are components that have more extreme solute concentrations than streamflow [Christophersen and Hooper, 1992]
EMMA NOTATION (1) Hydrograph separations using multiple tracers simultaneously; Use more tracers than necessary to test consistency of tracers; Typically use solutes as tracers
EMMA NOTATION (2) Measure p solutes; define mixing space (S-Space) to be p-dimensional Assume that there are k linearly independent end-members (k < p) X, matrix of streamflow samples, (n observations p solutes); each row xi (1 p)
PROBLEM STATEMENT Note that this equation is the same as generalized one for mixing model; the re-symbolizing is for simplification and consistency with EMMA references Also note that this equation is over-determined because k < p, e.g., 6 solutes for 3 end-members
SOLUTION FOR OVER-DETERMINED EQUATIONS Solution is normal equation [Christophersen et al., 1990; Hooper et al., 1990]:
ORTHOGONAL PROJECTIONS Following the normal equation, the predicted streamflow chemistry is [Christophersen and Hooper, 1992]:
GL4: 18O IN SNOW AND STREAM FLOW
VROF18O IN SNOWMELT
STREAM CHEMISTRY AND DISCHARGE
MIXING DIAGRAM: PAIRED TRACERS
FLOWPATHS: 2-TRACER 3-COMPONENT MIXING MODEL
MIXING DIAGRAM: PCA PROJECTIONS
FLOWPATHS: EMMA
APPLICATION AT LEADVILLE
TRITIUM IN VARIOUS SAMPLES
VARIATION OF TRITIUM AND 18O
MIXING DIAGRAMS
MIXING DIAGRAMS
MIXING DIAGRAMS
SUMMARY FOR MIXING DIAGRAMS OF TRITIUM AND 18O
PCA RESULTS: EIGENVALUES
PCA MIXING DIAGRAMS FOR INF-1
PCA MIXING DIAGRAMS FOR INF-1
SUMMARY FOR PCA AND EMMA
IMPLICATION FOR FUTURE SAMPLING SCHEME
SUMMARY: MIXING MODEL VS EMMA Easy to understand and manipulate! Doable with limited measurements of solutes! But different tracers may yield different results!
REDERENCES Hooper, R., 2001, http: //www.cof.orst.edu/cof/fe/watershed/shortcourse/schedule.htm Christophersen, N., C. Neal, R. P. Hooper, R. D. Vogt, and S. Andersen, Modeling stream water chemistry as a mixture of soil water end-members – a step towards second-generation acidification models, Journal of Hydrology, 116, 307-320, 1990. Christophersen, N. and R. P. Hooper, Multivariate analysis of stream water chemical data: the use of principal components analysis for the end-member mixing problem, Water Resources Research, 28(1), 99-107, 1992. Hooper, R. P., N. Christophersen, and N. E. Peters, Modeling stream water chemistry as a mixture of soil water end-members – an application to the Panola mountain catchment, Georgia, U.S.A., Journal of Hydrology, 116, 321-343, 1990. Liu, F., M. Williams, and N. Caine, in review, Source waters and flowpaths in a seasonally snow-covered catchment, Colorado Front Range, USA, Water Resources Research, 2003.
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