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Chatfield Reservoir Phosphorus Budget

Dive into a comprehensive study on phosphorus budgeting at Chatfield Reservoir by Jim Saunders and Jamie Anthony from WQCD. Learn about annual load quantification, source importance assessment, and load translation. Understand the complexities of sampling frequency, flow-concentration variations, and disentangling factors like time and flow. Explore the methodology, results, and implications of the study for effective water quality control.

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Chatfield Reservoir Phosphorus Budget

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  1. Chatfield Reservoir Phosphorus Budget Jim Saunders and Jamie Anthony WQCD, Standards Unit 13 Dec 2007

  2. Purpose of Phosphorus Budget • Quantify annual loads associated with inflow sources • Assess relative importance of sources (typical as well as variation) • Determine annual loads as precursor to development of “load translator”

  3. What is Load? • Concentration x Flow => pounds P • Daily: mg/L x ft3/s x units factor; get lbs/day • Annual: Σ(daily loads) • Can simplify if concentration does not vary with flow or over time: concentration x Σ(daily flows)

  4. Sampling Frequency Problem • Flow is reported daily for major tribs (South Platte and Plum) • Concentration is measured 15-20 times per year on average (~5% of days) • What is best way to assign concentrations to every day?

  5. Characterize Variation in Concentration • Common for concentration to vary with flow; often lower conc at higher flow • If the linkage is strong, can predict concentration for any flow (regression analysis) • Trend over time might be expected in case of development (or wildfires?) • Overlay of patterns associated with flow and time harder to deal with

  6. South Platte – no connection to flow

  7. More about South Platte • Absence of flow concentration linkage reflects role of upstream reservoirs and intensive flow management • Why not use average? Large range of concentrations; don’t want to eliminate observed variability • Could have subtle flow-concentration link obscured by temporal trend

  8. South Platte TP over Time • (MDL problems in some years) • Is there a trend over time?

  9. Disentangling Time and Flow • Assume there are underlying links between concentration and both flow and time for the South Platte • Define categories of flow based on quartiles for period of record • Define consecutive blocks of time • Assign each day (1987-2006) to a time block and a flow category based on daily flow • Each phosphorus measurement can be classified in the time-flow matrix based on flow observed on sampling date

  10. Flow Categories for South Platte (20-y) 75th percentile: 72 cfs 25th percentile: 32 cfs Low Intermediate High

  11. Classify Phosphorus Measurements by Time and Flow • Divide sampling record into consecutive 5-y time blocks beginning with 1987 • Based on sampling date, classify each measured phosphorus concentration according to one of 3 flow categories • Example: TP=0.024 mg/L on 3/29/05; flow was 30 cfs • Assign to time block 4 (2002-2006) • Assign to low flow category (<32 cfs)

  12. South Platte Phosphorus Measurements

  13. Compare Years using Phosphorus Measured during Intermediate Flows

  14. Overview of Phosphorus Comparisons • No difference in concentration across years within intermediate or high flow categories in any of the 5-y blocks • Sample size too small for same comparison in low flow category, but will assume no difference • Safe to lump phosphorus data across years within flow categories within time blocks • Are there patterns over time within flow categories?

  15. Random Sampling Methodology • Flow and time disentangled as much as practicable (3 flow x 4 time units) • Load strategy: assign concentration to every day based on flow in South Platte • Preserve variation observed in concentration data (i.e., don’t use avg) • In each time block, each measured concentration in a flow category is equally valid for every date that falls in that category (i.e., can select at random)

  16. Random Sampling Example 1994 1994 flows; 31%:49%:21% 1994 TP; 7:8:7

  17. Annual Loads with Replication • 365 daily loads, summed for annual load • Can repeat as often as you want; we did 100 reps

  18. Plum Creek TP over Time • Is there a trend? Not obvious

  19. Flow Categories in Plum Creek (20-y) 75th percentile: 24 cfs 25th percentile: 4.4 cfs Low Intermediate High

  20. Plum Creek Phosphorus Data

  21. Flow Patterns for Plum Creek?Yes, but can ignore time

  22. Plum Creek: Use Flow Deciles • No apparent temporal trend • Collapse time blocks into one • “Noisy” linkage to flow • Subdivide flows into 10 flow categories (deciles) • All deciles (except lowest flow) have at least 24 concentration measurements • Lowest decile – only one concentration; all zero flow days

  23. Plum Creek Annual Loads with Reps • Note magnitude comparable to Platte

  24. More Phosphorus Sources • Direct Precipitation • Monthly avg lake area * Kassler gage • …monthly AF * [TP] • Set [TP] to 0.087 mg/L (Clean Lakes study) in all months • Alluvial • Estimated annual inflow * [TP] • Set [TP] to 0.010 mg/L (monitoring data) in all years

  25. Phosphorus from Ungaged Areas • Limited data for ungaged tribs (1.4% of basin area); no data for direct runoff (0.4%) • Assume TP yield similar to Plum Creek watershed; i.e., scale up by water yield

  26. Total Phosphorus Load

  27. Compare Loads South Platte • Old vs. new load method; compare to equivalence line • SP shows strong bias (new>old) • Plum similar • Assumptions behind methods likely different • New method benefits from review of 20-y record Plum Creek

  28. Conclusions and Comments • Random sampling methodology provides robust and flexible approach to load estimates for gaged inflows • Gaged inflows contribute about 90% of annual load; even split between SP and Plum (but much variation among years) • Small contribution likely for precip and alluvium; apply simple method • Some concern about under-estimating Plum due to issues with water budget • Expect to make spreadsheets available next month

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