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Flow Statistics used to Develop Building Blocks Recommendations for Big Cypress. Indicators of Hydrologic Alteration – Environmental Flow Component (EFC) Appendix D 2 and 10 year recurrence interval flows Appendix E. Indicators of Hydrologic Alteration – Environmental Flow Component (EFC).

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Flow statistics used to develop building blocks recommendations for big cypress
Flow Statistics used to Develop Building Blocks Recommendations for Big Cypress

  • Indicators of Hydrologic Alteration – Environmental Flow Component (EFC) Appendix D

  • 2 and 10 year recurrence interval flows Appendix E


Indicators of hydrologic alteration environmental flow component efc
Indicators of Hydrologic Alteration – Environmental Flow Component (EFC)

  • Divides the hydrograph into high flow (>75th percentile) and low flow (<50th percentile)

  • High flows are further divided into Large Floods (10 year recurrence), Small Floods (2 year recurrence) and High Flow Pulses (rise faster than 25% and fall faster than 10%)

  • Low flows also include Extreme Low Flows (<10th percentile)

  • Percentile statistics of the low flows for each month are also generated


Ecf defaults
ECF Defaults Component (EFC)


Iha efc statistics for big cypress 1924 1956 33 years
IHA-EFC Statistics for Big Cypress Component (EFC)1924-1956 (33 years)


Iha efc statistics for little and black cypress
IHA-EFC Statistics for Component (EFC)Little and Black Cypress


2 year recurrence interval 1 5 4 year
2 – year recurrence interval Component (EFC)(1.5 - 4 year)

  • Bank Full Flow – Flushing accumulated fine sediments from gravel, scouring pools, building riffles, removing vegetation from active channel inundating bars and maintaining channel capacity.

  • Effective Discharge – Flow that transports the largest amount of sediment when averaged over time.


High flow calculations
High Flow Calculations Component (EFC)

  • IHA calculates high flow stats based on daily average flows, by default the 2 year and 10 year recurrence intervals.

  • PeakFQ – USGS program to Flood Frequency using log-pearson Type III regression based on instantaneous annual peaks




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