HYDROLOGIC MOELING SYSTEM HECHMS Hydrologic Modeling Event or

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HYDROLOGIC MOELING SYSTEM HEC-HMS

HYDROLOGIC MOELING SYSTEM HEC-HMS

Hydrologic Modeling

Hydrologic Modeling

Event or Continuous • An Event Model simulates a single storm • A Continuous

Event or Continuous • An Event Model simulates a single storm • A Continuous Model simulates a longer period, predicting watershed response both during and between precipitation events

Lumped or Distributed l. A Distributed Model is one in which the spatial (geographic)

Lumped or Distributed l. A Distributed Model is one in which the spatial (geographic) variations of characteristics and processes are considered explicitly. l A Lumped Model is where these variations are averaged or ignored.

Conceptual Model l. A Conceptual Model is built upon a base of knowledge of

Conceptual Model l. A Conceptual Model is built upon a base of knowledge of the pertinent physical, chemical, and biological processes that act on the input to produce the output

Empirical Model l An Empirical Model is built upon observation of input and output,

Empirical Model l An Empirical Model is built upon observation of input and output, without seeking to represent explicitly the process.

Measured-Parameter l. A Measured-Parameter Model is one in which model parameters can be determined

Measured-Parameter l. A Measured-Parameter Model is one in which model parameters can be determined from system properties, either by direct measurement or by indirect methods that are based upon measurements.

Fitted-Parameter l. A Fitted-Parameter Model includes parameters that cannot be measured. Instead parameters must

Fitted-Parameter l. A Fitted-Parameter Model includes parameters that cannot be measured. Instead parameters must be found by fitting the model with observed values of the input and output.

Start a New Project

Start a New Project

Start a New Project

Start a New Project

Create Rainfall Gage Data

Create Rainfall Gage Data

Enter Basin Model Data Basin Data Precipitation Data Computational Time Step

Enter Basin Model Data Basin Data Precipitation Data Computational Time Step

Loss Rate Function (Event, Lumped, Empirical, Fitted Parameter l Initial and Constant-Rate l NRCS

Loss Rate Function (Event, Lumped, Empirical, Fitted Parameter l Initial and Constant-Rate l NRCS Curve Number (CN) l Gridded SCS CN l Green and Ampt

Loss Rate Function Continuous, Lumped, Empirical, Fitted Parameter l Deficit and Constant Rate l

Loss Rate Function Continuous, Lumped, Empirical, Fitted Parameter l Deficit and Constant Rate l Soil Moisture Accounting (SMA)

Loss Rate Function Continuous, Distributed, Empirical, Fitted Parameter l Gridded SMA

Loss Rate Function Continuous, Distributed, Empirical, Fitted Parameter l Gridded SMA

Transforms l Clark’s Unit Hydrograph l Kinematic Wave l Mod Clark Unit Hydrograph l

Transforms l Clark’s Unit Hydrograph l Kinematic Wave l Mod Clark Unit Hydrograph l Snyder’s Synthetic Unit Hydrograph l NRCS Dimensionless Unit Hydrograph l User-Specified S Graph l User-Specified Unit Hydrograph

Baseflow Models l Exponential Recession l Constant Monthly l Linear Reservoir l No Baseflow

Baseflow Models l Exponential Recession l Constant Monthly l Linear Reservoir l No Baseflow

Create a Meteorological Model

Create a Meteorological Model

Enter Control Specifications

Enter Control Specifications

l. Create and Execute a “Run” l. View the Results l. Exit the Program

l. Create and Execute a “Run” l. View the Results l. Exit the Program