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HEC-HMS

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A=watershed area; C=conversion constant(2.08 in SI) ... Accounting loss model (last time) Outflow linearly related to average storage of each time interval ... – PowerPoint PPT presentation

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Title: HEC-HMS


1
HEC-HMS
  • Runoff Computation

2
Modeling Direct Runoff with HEC-HMS
  • Empirical models
  • - traditional UH models
  • - a causal linkage between runoff and excess
    precipitation without detailed consideration of
    the internal processes
  • A conceptual model
  • - kinematic-wave model of overland flow
  • - represent possible physical mechanism

3
User-specified Unit Hydrograph
  • Basic Concepts and Equations
  • Qnstorm hydrograph ordinate
  • Pmrainfall excess depth
  • Un-m1UH ordinate

4
User-specified Unit Hydrograph
  • Estimating the Model Parameters
  • 1. Collect data for an appropriate observed
  • storm runoff hydrograph and the causal
  • precipitation
  • 2. Estimate losses and subtract these from
  • precipitation. Estimate baseflow and
  • separate this from the runoff

5
User-specified Unit Hydrograph
  • Estimating the Model Parameters
  • 3. Calculate the total volume of direct runoff
  • and convert this to equivalent uniform
  • depth over the watershed
  • 4. Divide the direct runoff ordinates by the
  • equivalent uniform depth

6
User-specified Unit Hydrograph
  • Application of User-specified UH
  • - In practice, direct runoff computation with
  • a specified-UH is uncommon.
  • - The data are seldom available.
  • - It is difficult to apply.

7
Snyders UH Model
  • Basic Concepts and Equations

8
Snyders UH Model
  • Basic Concepts and Equations
  • - standard UH
  • - If the duration of the desired UH for the
    watershed of interest is significantly different
    from the above equation,
  • tRduration of desired UH,
  • tpRlag of desired UH

9
Snyders UH Model
  • Basic Concepts and Equations
  • - standard UH
  • - for other duration
  • Uppeak of standard UH,
    Awatershed drainage area
  • CpUH peaking coefficient,Cconvers
    ion constant(2.75 for SI)

10
Snyders UH Model
  • Estimating Snyders UH Parameters
  • - Ct typically ranges from 1.8 to 2.0
  • - Cp ranges from 0.4 to 0.8
  • - Larger values of Cp are associated with
    smaller values of Ct

11
SCS UH Model
  • Basic Concepts and Equations

12
SCS UH Model
  • Basic Concepts and Equations
  • - SCS suggests the relationship
  • Awatershed area Cconversion
    constant(2.08 in SI)
  • ?tthe excess precipitation
    durationtlagthe basin lag

13
SCS UH Model
  • Estimating the SCS UH Model Parameters

14
Clark Unit Hydrograph
  • Models translation and attenuation of excess
    precipitation
  • Translation movement of excess from origin to
    outlet
  • based on synthetic time area curve and time of
    concentration
  • Attenuation reduction of discharge as excess is
    stored in watershed
  • modeled with linear reservoir

15
Clark Unit Hydrograph
  • Required Parameters
  • TC

Not
  • Time of Concentration!!!
  • Storage coefficient

16
Clark Unit Hydrograph
  • Estimating parameters
  • Time of Concentration Tc
  • Estimated via calibration
  • SCS equation
  • Storage coefficient
  • Estimated via calibration
  • Flow at inflection point of hydrograph divided by
    the time derivative of flow

17
ModClark Method
  • Models translation and attenuation like the Clark
    model
  • Attenuation as linear reservoir
  • Translation as grid-based travel-time model
  • Accounts for variations in travel time to
    watershed outlet from all regions of a watershed

18
ModClark Method
  • Excess precipitation for each cell is lagged in
    time and then routed through a linear reservoir S
    K So
  • Lag time computed by
  • tcell tc dcell / dmax
  • All cells have the same reservoir coefficient K

19
ModClark Method
  • Required parameters
  • Gridded representation of watershed
  • Gridded cell file
  • Time of concentration
  • Storage coefficient

20
ModClark Method
  • Gridded Cell File
  • Contains the following for each cell in the
    subbasin
  • Coordinate information
  • Area
  • Travel time index
  • Can be created by
  • GIS System
  • HECs standard hydrologic grid
  • GridParm (USACE)
  • Geo HEC-HMS

21
Kinematic Wave Model
  • Conceptual model
  • Models watershed as a very wide open channel
  • Inflow to channel is excess precipitation
  • Open book

22
Kinematic Wave Model
  • HMS solves kinematic wave equation for overland
    runoff hydrograph
  • Can also be used for channel flow (later)
  • Kinematic wave equation is derived from the
    continuity, momentum, and Mannings equations

23
Kinematic Wave Model
  • Required parameters for overland flow
  • Plane parameters
  • Typical length
  • Representative slope
  • Overland flow roughness coefficient
  • Table in HMS technical manual (Ch. 5)
  • of subbasin area
  • Loss model parameters
  • Minimum no. of distance steps
  • Optional

24
Baseflow
  • Three alternative models for baseflow
  • Constant, monthly-varying flow
  • Exponential recession model
  • Linear-reservoir volume accounting model

25
Baseflow
  • Constant, monthly-varying flow
  • User-specified
  • Empirically estimated
  • Often negligible
  • Represents baseflow as a constant flow
  • Flow may vary from month to month
  • Baseflow added to direct runoff for each time
    step of simulation

26
Baseflow
  • Exponential recession model
  • Defines relationship of Qt (baseflow at time t)
    to an initial value of baseflow (Q0) as
  • Qt Q0Kt
  • K is an exponential decay constant
  • Defined as ratio of baseflow at time t to
    baseflow one day earlier
  • Q0 is the average flow before a storm begins

27
Baseflow
  • Exponential recession model

28
Baseflow
  • Exponential recession model
  • Typical values of K
  • 0.95 for Groundwater
  • 0.8 0.9 for Interflow
  • 0.3 0.8 for Surface Runoff
  • Can also be estimated from gaged flow data

29
Baseflow
  • Exponential recession model
  • Applied at beginning and after peak of direct
    runoff
  • User-specified threshold flow defines when
    recession model governs total flow

30
Baseflow
  • Linear Reservoir Model
  • Used with Soil Moisture Accounting loss model
    (last time)
  • Outflow linearly related to average storage of
    each time interval
  • Similar to Clarks watershed runoff

31
Applicability and Limitations
  • Choice of model depends on
  • Availability of information
  • Able to calibrate?
  • Appropriateness of assumptions inherent in the
    model
  • Dont use SCS UH for multiple peak watersheds
  • Use preference and experience
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