Transcript PPT

A Survey of Major Watershed (RainfallRunoff) Models
 Knowing what is out there in
the Workplace
 Capabilities of each model
 Requirements of each model
 What is the best model?
 Examples
Ungaged area needing
WRE management
(expansion)
Balancing $$, needs and
requirements (Consulting)
Flood-frequency analyses,
forecasting, extrapolating
for future scenarios
Consider this Scenario:
1. A major expansion of
urbanization is planned in
forested land – malls,
apts, parks, industry
2. How will the planned
urbanization change the
response of the land to
rainfall? Increase chances
of floods? Flashier? Bring
down GWT?
What kind of Water Resources
Management Strategy/Measures
would be needed to ensure longterm water needs?
Watershed Models are used to
answer such questions
GOALS
Be aware of the Major Models out there and
their basic workings
Understand Data needs and requirements
Merits/Demerits of Models (situational)
Ponder over: What is the Best Model? (open
question)
Be able to make an informed decision on the choice
of a Model (for Consulting, Industry, Public Works)
The Hydrologic Cycle
All watershed Models (or
Rainfall-Runoff) attempt
to model the Hydrologic
Cycle at the watershed
scale.
Watershed? – Natural System with all major components of
cycle
Hydrologic Cycle? (Water Cycle) – Water Distribution
Model? – Abstraction of reality using Mathematics
The Major Processes of a
Model
Infiltration
Unsaturated Zone flow
Groundwater (saturated
zone flow)
Overland Flow
River Flow
Evapotranspiration
Rainfall is usually the major input in
Hydrologic Models – it is not modeled!
Classification of Models
Based on mathematical representation of processes
 Conceptual Models
Physically-based Models
Based spatial nature of input/output of models
Lumped
Rainfall, Runoff, ET, GW flow
Distributed
Rainfall, Runoff, ET, GW flow
Conceptual Vs Physically
Based
Conceptual Models – Idealization
of processes as stores,
buckets, parameterizations –
simplified equations
representing mass,
momentum, energy.
Physically-based Models –
“rigorous numerical solution
of partial differential
equations governing flow
through porous media,
overland and channel flows. “
Lumped Vs Distributed
Models
Lumped - The spatial and temporal
variation of meteorological, hydrological,
geological and hydrogeological data
across the model area is described as one
aggregated value for input and output
!All models are lumped at the finest scale!
Distributed - The spatial and temporal
variation of meteorological, hydrological,
geological and hydrogeological data
across the model area is described in
gridded form for the input as well as the
output from the model
Data Requirements for Models
 Rainfall Data (Major Input)
More Physically-based
 Soils Data (Infiltration,
means more data
Runoff)
requirement
 DEM – channel network
More Conceptual
(River routing)
requires less data!
 Vegetation Data (For ET)
 GWT Data (Saturated zone
flow)
Data acquisition is an investment
 Historical Rainfallthat needs to be commensurate
Streamflow Data
with the model
(Calibration)
 Evaporation Data (ET)
Sources of Data
Rainfall – Gage, Radar
(NWS), Satellite
Soils – STATSGO,
USDA
DEM – USGS, Topo
maps, Satellites
Vegetation –
Satellites, USDA
Streamflow – USGS
Reliability
Ready availability
Cost $$$
Resolution (space,
time)
Is all data needed?
 Physically-based – Insatiable needs – but
potential high returns
Conceptual – modest needs with modest returns
Calibration –needs historical data. What is
Calibration?
What to do in ungaged regions where there is
‘No Data’? Transfer experience. PUB
What affects $$ operational costs
of a Model?
 Level of data needs – Data is expensive
 Level of physical complexity (Physically-based
means qualified personnel; Rational Method – nobrainer
 Scale of the problem being addressed –
larger/heterogenous – more $$$
The multiple needs of
the TVA river
reservoir system
Some Models Out there
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HEC-1
PRMS
HSPF (Fortran)
MIKE 11
Make your own survey if you wish
(Consider, DSS – Riverware, BASINS)
For a comprehensive guide refer to: VP Singh – Computer Models for Watersheds
HEC-1
 Developed by Hydrologic Engineering Center (HEC) of US Army
Corps of Engineers
 Flood Hydrograph Package – single storm even simulation. Lumped
model
 Loss Function approach – SCS, Green Ampt, Holtan
 Data Needs – sub-basin delineation, rainfall, runoff, routing
parameters
 Based on Unit Hydrograph or kinematic for runoff routing
 Other capabilities – Snowfall/melt, dam safety, pumping, diversions
 Customer Support? – Try HEC, San Diego, CA.
PRMS – Precipitation-Runoff
Modeling System
Developed by USGS – more of an educational
tool to build your own models
Lumped/sub-basin –continuous simulation – see
Handout
Data needs – (depends) precip, streamflow,
DEM, minmax air temp, radiation,
vegetation..(see handout)
Code in F77
Capabilities - many
Customer Support? – Try USGS
HSPF Hydrological Simulation
Program - Fortran
USGS – multi-use model
Can do water quality.
Mainly for land-use change, reservoir
operations, flow diversions etc.
Data needs – A lot – (see Hand-out)
Software – In Fortran 77
Capabilities – A lot (see hand-out)
Customer Support? – Try USGS
Real Example – 62,000 sq mi tributary area in
Chesapeake Bay.
MIKE 11
Danish Hydraulic Institute DHI
Very sophisticated – physically-based, high-end
model
Data needs – a lot (dependent of in-situ
measurements
Softwares – commercial (and expensive)
Capabilities – Many (see hand-out)
Customer Support? – Try DHI or Vendors
Real Example – River Jamuna, Bangladesh
MIKE SHE
USGS – educational, conceptual/physical
Data needs?
Softwares
Capabilities
Merits/Demerits (can/can not do)
Customer Support?
Real Example -
What is the best Model?
This is situational – It All Depends!
Primary objectives
$$ budget
Level of Tolerable Accuracy/precision
Complexity and uniqueness of the problem
Time frame for delivery
Data availability
It’s a highly complex question whose answer is sensitive to a
multiplicity of factors
Homework Problem
Given watershed,
Given data
Given $$, deadline
Choose your model (make strong
arguments in favor of your choice over
others)