Title: Diapositiva 1
13 ICTP Workshop on The Theory and Use of
Regional Climate Models May 29 June 9 2006
CHyM an operational distributed hydrological
model using different data sources
2CHyM an operational distributed hydrological
model using different data sources
Developed by
Since 2002
- It runs in any geographical domain with any
resolution - It runs in any (?) unix platforms
- It does not use any licensed software
- Different kind of rain data are assimilated
3CHyM an operational distributed hydrological
model using different data sources
Two reasons for NOT using CHYM
- NOT easy to use
- (CHyM is a NSE2USE Model)
- Documentation is not (yet) available
4CHyM an operational distributed hydrological
model using different data sources
Outline
- Description of the model
- Algorithms
- Generating streamflow network
- Building prec. fields with diff. data
- Physical processes
- Applications
5CHyM an operational distributed hydrological
model using different data sources
- Why to develop a new Hydrological Model?
- It has been thought for operational
- purposes
- It is a good exercise
6CHyM an operational distributed hydrological
model using different data sources
Step 1 generating streamflow network from DEM
DEM matrix for the selected domain and resolution
is generated Flow direction matrix is
computed Validation Pits and singularities
are corrected
7DEM is available with a resolution of 300 m
8CHyM Drainage network test
9CHyM Drainage network test
10A Cellular Automata definition
- A cellular automaton is a discrete dynamical
system
- Space, time and states of the system are discrete
quantities
- Each point in a regular spatial lattice, called a
cell, can have anyone of a finite number of states
- The state of the cells in the lattice are updated
according to a local rule
- All cells on the lattice are updated synchronously
11A Cellular Automata application
Life rules by Chris G. Langton
- The status of each CA can be ON or OFF
- If more than 3 CA in the neighborhood are ON CA
became OFF - If less than 2 CA in the neighborhood are ON, CA
became OFF - Otherwise CA became ON
12CA for CHyM applications
- CHyM grid is considered an aggregate of cellular
automata
- The status of a cell corresponds to the value of a
CHyM matrix (DEM)
- The state of the cells in the lattice is updated
according to following rule
- All cells on the lattice are updated synchronously
- Update ends when flow scheme is OK
13CHyM Recipe for DEM pit correction
- Smooth DEM using CA rules until FD can be
- obtained for all the cells
- Generate streamflow network using smoothed DEM
- Use true DEM and modify ONLY the cells draining
- toward an higher cell
14CHyM Drainage network test
15CHyM an operational distributed hydrological
model using different data sources
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17CHyM DEM pit correction
18CHyM DEM pit correction
19CHyM DEM pit correction
20CHyM Examples of Drainage Network Extraction
21CHyM the Rolling Stones Algorithm (RSA)
- Starting from each cell a stone rolls up to the
- rivers mouth
2. Each time that the stone goes through one cell
for this cell a counter is incremented by 1
3. If a quantity A is associated to each stone
where A is equivalent to the surface where the
stone was at the beginning, for each cell it can
be computed the upstream drained surface
4. If a quantity R is associated to each stone
where R is equivalent to the precipitation where
the stone was at the beginning, for each cell it
can be computed the upstream drained
precipitation
22CHyM the Rolling Stones Algorithm (RSA)
23Step 2 Building Precipitation Fields using
different Data Sources
24CHyM rain data sources Gauge measurements
25CHyM rain data sources Radar estimates
26CHyM rain data sources NERETIR
NERETIR
NEural Rainfall Estimation from Termal InfraRed
27CHyM rain data sources MM5
MM5 Meteorological Model
28Step 2 Building Precipitation Fields using
different Data Sources
Module 1
- Define subdomain
- Fill cells corresponding to rain gauges
- Fill subdomain matrix Cr. Formula
- Smooth subdomain matrix using CA
- algorithm
Module 2
Module 3
Module n
29CA for CHyM applications
- CHyM grid is considered an aggregate of cellular
automata
- The status of a cell corresponds to the value of
a CHyM matrix
(RAIN)
(DEM)
- The state of the cells in the lattice is updated
according to following rule
But cells corresponding to rain gauges or defined
in a previous Module are not updated
- All cells on the lattice are updated synchronously
- Update ends when flow scheme is OK
- Update ends when a stable state is reached
30Observed rain using Cressman algorithm
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32In sequence
33CHyM Rain field sources an example
34CHyM an operational distributed hydrological
model using different data sources
For each cell the simulated processes are
Runoff Evapotraspiration Infiltration Rainfall
35CHyM Infiltration
Surface Runoff
Infiltration
Deep percolation
Interflow
36CHyM Evapotraspiration
Thornthwaite Formula (Thornthwaite and Mather,
1995)
37CHyM Runoff
Continuity equation
A cross sectional area of the river Q flow rate
of water discharge qc rain for length unit
Momentum equation
S slope 1/R wetter perimeter n Mannings
roughness coefficient
38CHyM A first application
Ri rain
Ai drained surface
AI Alarm Index
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40CHyM an operational distributed hydrological
model using different data sources
Soverato Flood simulation
41CHyM an operational distributed hydrological
model using different data sources
Val Canale flood simulation
42CHyM simulation of Aug 22-23 2005 event
Flood alert mapping using MM5 and CHyM
43CHyM simulation of Aug 22-23 2005 event
Flood alert mapping using MM5 and CHyM
44CHyM simulation of Aug 22-23 2005 event
45Landslides prediction using CHyM. (Very)
Preliminary results
46CHyM an operational distributed hydrological
model using different data sources
47CHyM an operational distributed hydrological
model using different data sources
48Landslides prediction using CHyM. (Very)
Preliminary results
49Landslides prediction using CHyM. (Very)
Preliminary results
50Landslides prediction using CHyM. (Very)
Preliminary results
51Landslides prediction using CHyM. (Very)
Preliminary results
52CHyM hydrological effects due to Alpine
Glaciers Melting
53CHyM an operational distributed hydrological
model using different data sources
For further information about the model and
related literature please visit the
URL http//cetemps.aquila.infn.it/chym/
54CHyM an operational distributed hydrological
model using different data sources
THANKS!!
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