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Title: Diapositiva 1 Author: IBM Last modified by: IBM Created Date: 5/26/2006 11:07:35 AM Document presentation format: Presentazione su schermo Other titles – PowerPoint PPT presentation

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Title: Diapositiva 1


1
3 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
2
CHyM 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

3
CHyM 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

4
CHyM 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

5
CHyM 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

6
CHyM 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
7
DEM is available with a resolution of 300 m
8
CHyM Drainage network test
9
CHyM Drainage network test
10
A 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

11
A 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

12
CA 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

13
CHyM 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

14
CHyM Drainage network test
15
CHyM an operational distributed hydrological
model using different data sources
16
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17
CHyM DEM pit correction
18
CHyM DEM pit correction
19
CHyM DEM pit correction
20
CHyM Examples of Drainage Network Extraction
21
CHyM 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
22
CHyM the Rolling Stones Algorithm (RSA)
23
Step 2 Building Precipitation Fields using
different Data Sources

24
CHyM rain data sources Gauge measurements
25
CHyM rain data sources Radar estimates
26
CHyM rain data sources NERETIR
NERETIR
NEural Rainfall Estimation from Termal InfraRed
27
CHyM rain data sources MM5
MM5 Meteorological Model
28
Step 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
29
CA 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

30
Observed rain using Cressman algorithm
31
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32
In sequence
33
CHyM Rain field sources an example
34
CHyM an operational distributed hydrological
model using different data sources
For each cell the simulated processes are
Runoff Evapotraspiration Infiltration Rainfall
35
CHyM Infiltration
Surface Runoff
Infiltration
Deep percolation
Interflow
36
CHyM Evapotraspiration
Thornthwaite Formula (Thornthwaite and Mather,
1995)
37
CHyM 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
38
CHyM A first application
Ri rain
Ai drained surface
AI Alarm Index
39
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40
CHyM an operational distributed hydrological
model using different data sources
Soverato Flood simulation
41
CHyM an operational distributed hydrological
model using different data sources
Val Canale flood simulation
42
CHyM simulation of Aug 22-23 2005 event
Flood alert mapping using MM5 and CHyM
43
CHyM simulation of Aug 22-23 2005 event
Flood alert mapping using MM5 and CHyM
44
CHyM simulation of Aug 22-23 2005 event
45
Landslides prediction using CHyM. (Very)
Preliminary results
46
CHyM an operational distributed hydrological
model using different data sources
47
CHyM an operational distributed hydrological
model using different data sources
48
Landslides prediction using CHyM. (Very)
Preliminary results
49
Landslides prediction using CHyM. (Very)
Preliminary results
50
Landslides prediction using CHyM. (Very)
Preliminary results
51
Landslides prediction using CHyM. (Very)
Preliminary results
52
CHyM hydrological effects due to Alpine
Glaciers Melting
53
CHyM 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/
54
CHyM an operational distributed hydrological
model using different data sources
THANKS!!
55
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