02 June 2020 Web Meeting

ICHARM / PWRIInternational Centre for Water Hazard and Risk Management
under the auspices of UNESCO,
Public Works Research Institute (PWRI), Japan1

Organization & Budget
Public Works Research Institute(PWRI)
Tsukuba Central Research Institute

President

Civil Engineering ResearchInstitute for Cold Region (CERI)
Center for Advanced Engineering
Structural Assessment andResearch (CAESAR)

Innovative Materials andResources Research Center(iMaRRC)International Centre for Water Hazard and Risk Management (ICHARM)
officially established March 2006
Deputy Director of
Executive International
Chief Researcher
Centre for(Water-related
Water Hazard
Hazard)ICHARM
Risk
Management(ICHARM)
Director (1) and(1)(Director of Water-related

46

Hazard Research Group)

Director for Special
Research
Training & Research
Advisor

(1)

(1)

(1)

Chief Researcher(Risk Management)

Research Specialist (10)Researcher

(2)

(1)

Chief Researcher(Networking and PR)
Chief Researcher(for Training)

Senior Researcher (9)Research Assistant (1)(1)

Administrative Staff(4)

Administrative Assistant(13)#1:serving concurrently

Budget (million yen)2

Challenge to Localism
Delivering best available knowledge to local practices

Training

Research

3

Long Term Targets• Analyzing and formulating
policy ideas• Visualizing values ofpreparedness andinvestment efficiency• Improving disaster
literacy• Promoting co-design andco-implementation
among stakeholders

Support inSound Policy-making

Support inCommunity of Practice

Risk Assessment

Risk Change Identification• Developing integrated
disaster risk assessment• Identifying locality andcommonality• Monitoring and predictingchanges in disaster risk
• Identifying locality andcommonality

Data & Statistics• Promoting data collection, storage, sharing, and statistics• Integrating local data, satellite observations and model outputs

4

Long Term Targets• Analyzing and formulating
policy ideas• Visualizing values ofpreparedness andinvestment efficiency• Improving disaster
literacy• Promoting co-design andco-implementation
among stakeholders

Support inSound Policy-making

Support inCommunity of Practice

Risk Assessment

Risk Change Identification• Developing integrated
disaster risk assessment• Identifying locality andcommonality• Monitoring and predictingchanges in disaster risk
• Identifying locality andcommonality

Data & Statistics• Promoting data collection, storage, sharing, and statistics• Integrating local data, satellite observations and model outputs

5Long Term Targets• Analyzing and formulating
policy ideas• Visualizing values ofpreparedness andinvestment efficiency• Improving disaster
literacy• Promoting co-design andco-implementation
among stakeholders

Support inSound Policy-making

Support inCommunity of Practice

Risk Assessment

Risk Change Identification• Developing integrated
disaster risk assessment• Identifying locality andcommonality• Monitoring and predictingchanges in disaster risk
• Identifying locality andcommonality

Data & Statistics• Promoting data collection, storage, sharing, and statistics• Integrating local data, satellite observations and model outputs

6Integrated
Flood Analysis
System(IFAS)

Hydrological Modeling

Rainfall-RunoffInundation (RRI)

Model Validation
Energy andWater Flux
Balance

VerticalSoil Moisture
ProfileLong-term river runoff

Water & Energy
Budget RRI(WEB-RRI)

River Flow

Surface Flow
Ground Water

Basin-averaged ET

Interaction
Inundation area

7

Development and implementation of a method
to simulate the flood flow with sediment and driftwood

Design flood and inundationconsidering sediment transport.

Simulation result of the flood flow withsediment and driftwood
8

Long Term Targets• Analyzing and formulating
policy ideas• Visualizing values ofpreparedness andinvestment efficiency• Improving disaster
literacy• Promoting co-design andco-implementation
among stakeholders

Support inSound Policy-making

Support inCommunity of Practice

Risk Assessment

Risk Change Identification• Developing integrated
disaster risk assessment• Identifying locality andcommonality• Monitoring and predictingchanges in disaster risk
• Identifying locality andcommonality

Data & Statistics• Promoting data collection, storage, sharing, and statistics• Integrating local data, satellite observations and model outputs

9

Average Rainfall in June-July-August (JJA)
Dynamical Downscaling
Statistical Downscaling
1979-2003

CESM1-CAM5

CNRM-CM5

GFDL-CM3

MPI-ESM-LR

1979-2003
RCP8.5

RCP2.62075-992025-49

2050-74
2075-99
CESM1-CAM5

CNRM-CM5

GFDL-CM3

MPI-ESM-LR

CESM1-CAM5

CNRM-CM5

GFDL-CM3

MPI-ESM-LR
1010Anti-cyclonic field will
be strengthened .

Anti-cyclonic field will
be strengthened .

Cyclonic field will
be strengthened .

11

Long Term Targets• Analyzing and formulating
policy ideas• Visualizing values ofpreparedness andinvestment efficiency• Improving disaster
literacy• Promoting co-design andco-implementation
among stakeholders

Support inSound Policy-making

Support inCommunity of Practice

Risk Assessment

Risk Change Identification• Developing integrated
disaster risk assessment• Identifying locality andcommonality• Monitoring and predictingchanges in disaster risk
• Identifying locality andcommonality

Data & Statistics• Promoting data collection, storage, sharing, and statistics• Integrating local data, satellite observations and model outputs

12Our Challenges
Non-structural

Observation & Simulation

Structural

Community
Training/
Exercise

MutualSupportSelf-Help

VirtualRealityevacuation

Build Back Better

preparedness

Risk
Reduction

Monitoring &Prediction

Society Function

Infrastructure
Investment

Public Support
Climate Change

Disaster
Risk
recovery

response13

Flood Water Level Prediction System
by Coupling RRI and Particle Filter

Initial Soil Moisture Condition of RRI Assimilated by Using Observed River Level and Particle Filter

Predicted Water Level can be Used Initial Soil Moisture Condition of RRI Assimilated by Using
14

Study on Flood Awarenessby Flood Simulated Experience using Virtual Reality15

e-Learning of Flood Contingency Planning in West Africa

1. Download flood simulation
output data from DIAS system

2. Make flood hazard map

5.Describe chronological response byrelated organizations
Stage

No. of Days
Date

Initial Stage

1

2

8/20

8/21

Operation Stage I

Operation Stage II

53

54

55

56

57

58

59

60

61

62

63

Post Disaster Stage

3

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

36

37

38

39

40

41

42

43

44

45

46

47

48

49

50

51

52

74

75

76

77

78

79

80

81

82

83

8/22

8/23

8/24

8/25

8/26

8/27

8/28

8/29

8/30

8/31

9/1

9/2

9/3

9/4

9/5

9/6

9/7

9/8

9/9

9/10

9/11

9/12

9/13

9/14

9/15

9/16

9/17

9/18

9/19

9/20

9/21

9/22

9/23

9/24

9/25

9/26

9/27

9/28

9/29

9/30

10/1

10/2

10/3

10/4

10/5

10/6

10/7

10/8

10/9

10/10 10/11 10/12 10/13 10/14 10/15 10/16 10/17 10/18 10/19 10/20 10/21 10/22 10/23 10/24 10/25 10/26 10/27 10/28 10/29 10/30 10/31 11/1

64

65

66

67

68

69

70

71

72

73

11/2

11/3

11/4

11/5

11/6

11/7

11/8

11/9

11/10 11/11 11/12 11/13 11/14 11/15 11/16 11/17 11/18 11/19

84

85

86

87

88

89

90

87

88

4.Make Flood disaster scenario in whole region/province/
municipality and identified flood hot-spot districts
Stage

Rainfall01

3.Identify flood hot-spot districts(Tutorial of mapping is also provided
as hands-on training material)

No. of Days
Date

0

Initial Stage

Operation Stage I

Operation Stage II
53

54

55

56

57

58

59

60

61

62

63

Post Disaster Stage

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

36

37

38

39

40

41

42

43

44

45

46

47

48

49

50

51

52

74

75

76

77

78

79

80

81

82

83

8/20

8/21

8/22

8/23

8/24

8/25

8/26

8/27

8/28

8/29

8/30

8/31

9/1

9/2

9/3

9/4

9/5

9/6

9/7

9/8

9/9

9/10

9/11

9/12

9/13

9/14

9/15

9/16

9/17

9/18

9/19

9/20

9/21

9/22

9/23

9/24

9/25

9/26

9/27

9/28

9/29

9/30

10/1

10/2

10/3

10/4

10/5

10/6

10/7

10/8

10/9

10/10 10/11 10/12 10/13 10/14 10/15 10/16 10/17 10/18 10/19 10/20 10/21 10/22 10/23 10/24 10/25 10/26 10/27 10/28 10/29 10/30 10/31 11/1

64

65

66

67

68

69

70

71

72

73

11/2

11/3

11/4

11/5

11/6

11/7

11/8

11/9

11/10 11/11 11/12 11/13 11/14 11/15 11/16 11/17 11/18 11/19

84

85

86

87

88

89

90

87

88

Maxixmuminundatin at XXXX

Inundation
Distribution

Discharge

01

0

RainfallKoulikoro
Station(in Bamako)
Dailakoro
Station(Upstream)
Confluence
point(Upstream)▲Peak at 4AM, Sep 10 (23248 (m3/s))

MAX: 2.93m

Area4

MAX: 7.74m

Area5

MAX: 4.20m

Prefectural
Emergency
Operation
Center (EOC)
2.WarningRiver
andManagement
Communicati
OfrficeonMunicipal
Emergency
Operation
Center (EOC)
Municipal
Emergency
3.Evacuation
Operation
Center (EOC)
4.Relief andRehab
5. Medical/Health
6.Transpor
tation7.Search andRescue8.Fire Brigate
9.Reconstruction andRecovery

Max: 5.64m

Max: 5.39m

MAX: 5.39m

Area3

Municipal
Emergency
1.Command& Control
Operation
Center (EOC)

010

Maxixmuminundatin at XXXX
MAX: 5.64m

Area2

Stage

0

▲Peak at 10AM, Sep 13 (26240 (m3/s))

Area1

Inundation

01▲Peak at 7AM, Sep 7 (17890 (m3/s))

Initial Stage

Operation Stage I-Activate EOC.

-The EOC maintain close coordination with various sectors.

-Activate EOC.

-The EOC maintain close coordination with various sectors.

-Alert response
sectors to stand-by.
-Inform the generalpublic.
- Check if facilities
are ready.

Inundation
Distribution

Max: 2.93m

Max:7.74m

Inside River???
Operation Stage II

Post Disaster Stage
Inside River???

Max:4.20m

Discharge

Area1-Continuous monitoring of water level

Emergency response of eachrelated organization can be
described in this part.

Koulikoro
Station(in Bamako)
Dailakoro
Station(Upstream)
Confluence
point(Upstream)

Area2▲Peak at 4AM, Sep 10 (23248 (m3/s))▲Peak at 7AM, Sep 7 (17890 (m3/s))▲Peak at 10AM, Sep 13 (26240 (m3/s))

MAX: 5.64m

Max: 5.64m

Max: 5.39m

MAX: 5.39m-Guide the evacuees to evacuation spaces.

Inundation

Inside River???

Inside River???

Area3

MAX: 2.93m

Area4

MAX: 7.74m

Area5

MAX: 4.20m

Max: 2.93m

Max:7.74m

Inside River???

Max:4.20m

10.Safety
and Secutiry

16

Long Term Targets• Analyzing and formulating
policy ideas• Visualizing values ofpreparedness andinvestment efficiency• Improving disaster
literacy• Promoting co-design andco-implementation
among stakeholders

Support inSound Policy-making

Support inCommunity of Practice

Risk Assessment

Risk Change Identification• Developing integrated
disaster risk assessment• Identifying locality andcommonality• Monitoring and predictingchanges in disaster risk
• Identifying locality andcommonality

Data & Statistics• Promoting data collection, storage, sharing, and statistics• Integrating local data, satellite observations and model outputs

17Platform on Water Resilience and Disasters in the Philippines
The 3rd Plenary Meeting of Platform

Agency
DPWH

DOST

DENR
DILG
DND
DSWD
LGA
MGB
NEDA

Office/Division
UPMO-FCMC
Regional Office III
Regional Office XIPAGASAPHIVOLCSPCIEERD
Regional Office II
Regional Office III
Regional Office XI
NAMRIA
Regional Office XIWSSPMO-OPDS
OCD
Regional Office XIRegional Office III
Regional Office XI

NWRB
PSA
NIA
UP Los Banos
UP Diliman
UP Mindanao
Univ. of Tokyo EDITORIAICHARM
TyphoonCommittee

78 participants from 28 offices

18Platform on Water Resilience and Disasters in the Philippines

19

Platform on Water Resilience and Disasters in the Philippines

EWS
Transdisciplinary

CC Adaptation Plan

IV. Agricultural
Productivity

DRR Guidelines

LED PlanIII. Economic
ImpactIntegrated
Assessment

Water Resilienceand Disasters

2. ModelDevelopment

InterdisciplinaryCommunity ofPractice

Policy-making

II. Climate Change
Adaptation

I. Early Warning

Capacity Building

3. Societal
BenefitCreation

Data
Integration

1. DataArchive

DamageHazardSocioeconomy

20Category

Data

Source ofinformation

Data TypeUP Mindanao Grid

Specification
Year:
Area: Davao River basin
Spatial Resolution: 10m
Elements:
Year:
Area: Davao River basin
Spatial Resolution: 5m
Elements:
Name(s) or Total number: 10
Period: 1980-2016
Temporal Resolution: Daily
Elements: Meteorological observation
Name(s) or Total number: 10
Period: 1980-2016
Temporal Resolution: Daily
Elements: Meteorological observation
Name(s) or Total number:
Period:Temporal Resolution:
Elements:
Specification
Name(s) or Total number: 1 (Davao, Lacson, Calinan)
Period:Year: 2/2001 - 12/2017
Temporal
Resolution:occasional
Area: Davao
River basin
Elements:
Field discharge
Spatial Resolution:
10m measurement
Name(s)Elements:or Total number: 270
Period:Year: 2003
Temporal
Resolution:
Area: Davao
River basin
Elements:
Field measurement
Spatial Resolution:
5m
Name(s)Elements:or Total number:
Period:Name(s) or Total number: 10
Temporal
Resolution:
Period: 1980-2016
Elements:
Temporal Resolution: Daily
Year:
2016 Meteorological observation
Elements:
Area:
Davao
City number: 10
Name(s)or Total
SpatialPeriod:Resolution:
1980-2016 1/500000
Elements:
Flood hazardDaily
map (100 year return period, 1.5m depth)
Temporal Resolution:
Year:
Elements: Meteorological observation
Area:
Name(s) or Total number:
SpatialPeriod:Resolution:
Elements:
Temporal Resolution:
Name(s)Elements:or Total number:
Period:Name(s) or Total number: 1 (Davao, Lacson, Calinan)
Temporal
Resolution:
Period: 2/2001- 12/2017
Elements:
Temporal Resolution: occasional
Period:2012,2013,
2014, 2015,2016, 2017 (event-base)
Elements:
Field
discharge
measurement
Area:
Region
XI number: 270
Name(s)or Total
Province
RegionCity
Municipality
Scale:
Period: 2003Nation
Elements:
Dead, Injured,Temporal Resolution:- Missing
Period:2012,2013,
2014, 2015, 2016, 2017 (event-base)
Elements:
Field
measurement
Area:
Region
XI number:Name(s)or Total
Province
RegionCity
Municipality
Scale:
Period: Nation
Elements:
Families, Persons
Temporal Resolution:
Period:2010, 2011, 2012, 2014, 2015, 2016
Elements:
Area:
Region XI
Year: 2016
Province
RegionCity
Municipality
Scale:
Area: DavaoNation
City
Elements:
Affected1/500000
area, Production loss
Spatial Resolution:
Period:2012,2013,
2014,map
2015,(100
2016,
2017
(event-base)
Elements:
Floodhazardyear
returnperiod, 1.5m depth)
Year: Region XI
Area:
Province
NationRegionCity
Municipality
Area:
Scale:
Spatial Resolution:
Elements:
Number of damage houses
Elements:
Period:2012, 2013, 2014, 2015, 2016, 2017 (event-base)Name(s)or Total
Area:
Region
XI number:
Province
RegionCity
Municipality
Period: Nation
Scale:
Temporal Resolution:
Elements:
Estimated cost of infrastructure
Elements:
Period:2012, 2013, 2014, 2015, 2016, 2017 (event-base)
Period:2012, XI
2013, 2014, 2015, 2016, 2017 (event-base)
Area:
RegionProvince
NationRegionCity
Municipality
Area: Region
XI
Scale:
Province
NationCity
Municipality
Scale:
Elements:
Estimated
costRegionof infrastructure
and agriculture
Elements:
MissingYear:
1960,Dead,
1970, Injured,
1975, 1980,
1990, 1995, 2000, 2007, 2010, 2015
Period:2012, XI
2013, 2014, 2015, 2016, 2017 (event-base)
Area:
RegionArea: Region
XI Regional
SpatialResolution:
Province
NationRegionCity
Municipality
Scale:
Elements:
Population Census
Elements: Families, Persons
Year:
Period: 2010, 2011, 2012, 2014, 2015, 2016
Area:
Area: Region
XI
SpatialResolution:
Province
NationRegionCity
Municipality
Scale:
Elements:
Elements:
area, Production lossYear:
2015,Affected
2016, 2017
Period:2012, 2013, 2014, 2015, 2016, 2017 (event-base)
Area:
NationArea: Region
XI National
SpatialResolution:
Province
Nationof Production,
Region Farm gate Price, Volume
City of Production
Municipality
Scale:
Elements:
Value
Elements: Number of damage houses
Year:
Period: 2012, 2013, 2014, 2015, 2016, 2017 (event-base)
Area:
Area: Region
XI
SpatialResolution:
Province
NationRegionCity
Municipality
Scale:
Elements:
Elements: Estimated cost of infrastructure
Year:
Period: 2012, 2013, 2014, 2015, 2016, 2017 (event-base)
Area:
Area: Region
XI
SpatialResolution:
Province
NationRegionCity
Municipality
Scale:
Elements:
Elements: Estimated cost of infrastructure and agricultureYear:
Year: 1960, 1970, 1975, 1980, 1990, 1995, 2000, 2007, 2010, 2015
Area:
Area: Region
XI
SpatialResolution:
Spatial Resolution: Regional
Elements:
Elements: Population Census
Year:
Year:
Area:
Area: Resolution:
SpatialSpatial Resolution:
Elements:
Elements:
Year:
Year: 2015, 2016, 2017
Area:
Area: Nation
SpatialResolution:
Spatial Resolution: National
Elements:
Elements:
Production, Farm gate Price, Volume of ProductionYear:
2015,Value
2016, of2017
Year: Region XI
Area:
Area: Resolution: Regional
SpatialSpatial Resolution:
Elements:
Sectoral region GDP at current prices & at constant 2000 prices
Elements:
Year: 2017, 2018
Year: Nation
Area:
Area: Resolution: National
SpatialSpatial Resolution:
Elements:
Elements:
Year:
2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018
Year: Region XI
Area:
Area: Resolution: Regional
SpatialSpatial Resolution:
Elements:
Income tax, Gross income
Elements:
Year:
Year:
Area:
Area: Resolution:
SpatialSpatial Resolution:
Elements:
Elements:
Year:
Area:
Spatial Resolution:
Elements:
Year: 2015, 2016, 2017
Area: Region XI
Spatial Resolution: Regional
Elements: Sectoral region GDP at current prices & at constant 2000 prices
Year: 2017, 2018
Area: Nation
Spatial Resolution: National
Elements:
Year: 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018
Area: Region XI
Spatial Resolution: Regional
Elements: Income tax, Gross income
Year:
Area:
Spatial Resolution:
Elements:

Platform on Water Resilience and Disasters in the Philippines
DEM(LiDAR)DEM(ifSAR)

Time series(Point)DigitalPaper

2. Metadata Template
Meteorologicaldata

DamageHazardWater level

Socioeconomic

Category

Data

Hazard River
DEM flow(LiDAR)

Source ofinformation

Grid

PAGASA
Rainfall

1. Data Collection
Data

NAMRIA

Data

Source ofinformation

Data

Source ofinformation

DEM (LiDAR)

UP Mindanao

Land use

LGU, DOSTDEM (ifSAR)

NAMRIA

Agriculture

PSA, DA

Hydromet data

PAGASA, ASTI,
DREAM

Population

PSA

Infrastructure

DPWH/LGU

Inundation depth(LiDAR)UP Diliman, UP
Mindanao

Industry

DTI

Inundation depth(interview)

PAGASA

Commerce

DTI

RainfallPAGASAPAGASATime series(Point)DigitalPaper

PAGASATime series
DPWH(Point)Digital
UPSource
MindanaoofPaperTypeData

information Time series
PAGASADPWH
UP Mindanao (Point)
Grid
DigitalUP Mindanao
Paper

DPWH

GeometryUP
Mindanao (Point)
NAMRIAGridRiver
DEM cross section
DigitalPaper(ifSAR)NAMRIATime series(Point)PAGASATime series
Tidal level
Digital(Point)RainfallPaper
DigitalCasualties &missing person

OCD

Num. of affected
peopleOCD

Agricultural
damageDA

Housing damage

OCD

Damage tocriticalinfrastructure

DPWH, LGU

Direct economic
loss other thanagricultural loss

LGU
NEDA

Collected

River flow

DPWH, UP
MindanaoRiver crosssection

DPWH, UP
Mindanao

Tidal level

NAMRIA

Drainage facility

DPWH/LGU

Information

PSA, NEDA

SectoralRegional GDP

UP Diliman MapPaper
Inundation depth PAGASATime series
Meteorological(Point)(LiDAR)
Digitaldata
Paper
PAGASA
Map/Point
Inundation depth PAGASATimeDigital
seriesPaper
DPWH(Point)(interview)
Water
level
DigitalUP Mindanao
NIA
TimePaper
series(Point)PAGASATime
seriesDam operation
DigitalDPWH(Point)Hazard River flow
Paper
DigitalUP Mindanao
Paper
OCD
Statistics
Casualties &DigitalDPWH
Geometry
Paper
missing
personRiver
crosssection UP Mindanao (Point)
DigitalAffected people
Tidal level

OCD
NAMRIA

DigitalDA
Agricultural
UP Diliman
Inundation
damage depth
Damage (LiDAR)OCD
PAGASA
Housing damage
Inundation
depth(interview)
DPWH
Critical
NIA
LGU
infrastructure
Dam operation
damageAffected people

Sectoral
employed
population

PSA

Tax revenue

BIR

Land priceCity Assessors
OfficeStatistics
TimeDigital
series
Paper(Point)Paper
Statistics
DigitalStatistics

Digital
Paper
Paper

Grid/Statistics
DigitalStatistics
Digital
Paper
Paper

DPWH
DPWH
LGU
LGU

Map/Statistics
DigitalStatistics

DTI
LGU
Industry
Economic damage NEDA

Map/Statistics
DigitalStatistics

DTI
PSA

Map/Statistics
Digital
Grid/Statistics

DPWH
LGU
DOST
NEDA
DENR
DPWH
PSA
LGU
DA
DENR
PSA
DPWH
LGU

Map/Statistics
Digital
Map/Statistics

DamageCriticalInfrastructure
infrastructuredamageCommerce
Population
Drainage facility
Land use
Information
Agriculture

Input Item;
Data Domain, Area, District :Category:
Data Source
Data Type
PeriodResolution

Digital
Paper
Paper

Map/Statistics
DigitalStatistics

Agriculture
Housing damage

3. Web-based Data
Uploading System

Paper

Statistics
DigitalMap/Point

LGU
DA
DOST
NEDA
DENR
PSA
OCD
DA
DENR

Land
use
Agricultural
damageSocioeconomy

Paper
Statistics
MapDigital

Digital

LGU
OCD
NEDA
EconomicCasualtiesdamage&
missing person
PSA
OCD
Population

PSA

Paper
Statistics
TimeDigital
series
Paper(Point)Sectoral regional
GDP
Infrastructure

PSA
Sectoral employed DTI
population
Industry

Digital
Paper
Paper

Map/Statistics
DigitalStatistics
Digital
Paper
Paper

Digital
Paper
Paper

Digital
Paper
Paper

Digital
Paper
Paper

Digital
Paper
Paper

Map/Statistics
Digital
Map/Statistics
Digital
Paper
Paper

Map/Statistics
Digital
Map/Statistics
Digital
Paper
Paper

Map/Statistics
Digital
Map/Statistics
Digital
Paper
Paper

DPWH
DTI
LGU

Map/Statistics
Digital
Map/Statistics
Map/Statistics
Digital
Map/Statistics

Drainage facility

PSA
DPWH
NEDA
LGU

Map/Statistics

Information

DPWH
LGU
PSA

Map/Statistics

PSA

Map/Statistics

Map/Statistics

Tax revenue

DPWH
LGU

Map/Statistics

Land price

PSA
NEDA

Tax revenue
Commerce

Socioeconomy Land price

Sectoral regional
GDP
Sectoral employed
population

Digital
Paper
Paper

Digital
Paper
Paper

DigitalPaper

DigitalPaper

DigitalPaper

DigitalPaper

DigitalPaper

Barangay

Barangay

Barangay

Barangay

Barangay

Barangay
Barangay

Barangay

Barangay

Barangay

Barangay

Barangay21

21

Platform on Water Resilience and Disasters in the Philippines
2. Flood Forecasting & Early Warning (Preliminary)In-situ

Gauge

AuthorizedPart

PAGASA
ServerSatellite Rainfall

Realtime
Access

GSMaP

Cloud ImageHIMAWARI8

http://ph-pampanga.diasjp.net/RRI/rri_monitoring_20110926.php

22

22

Platform on Water Resilience and Disasters in the Philippines
3. Climate Change Impact (Davao River Basin)
Annual total
WRF model setting
Outer frame: 15km, 100x100
Inner frame: 5km, 79x79
Vertical layer: 40
Cumulus: Grell 3D
Raingauge
Past Climate
FutureClimate(RCP8.5)

Davao River
Area: 1623 km2Length: 160 km

Δx=5kmSeasonal Variation of Rainfall(increase during July to September)

DJF

JJA

Past
climate

Futureclimate
RCP8.5Difference(future)(past)

Rainfall distribution in past and future climate

33% increase of 1/50 extreme rainfall & July-September rainfall increase 45%⇒Average discharge increases + one flood event causes more damage

23

23

Platform on Water Resilience and Disasters in the Philippines
Activity Design

Experiencing
Climate Change

Strengthening
Resilience

Toward theProsperous Davao

Climate change impact
assessment based on S&T

Predict climate change
impact and scenario

Design a brilliant future

Visualization

Resilient society beyondsaving lives

Coordination with relevant
ongoing energies
Be Climate
SAFE: S&T Action
Smart NOW
Frontline for Emergencies
and Hazards Program
Groundwateruse

Evacuation
1/100
Flood
(200m grid)Experiencing
EventsInfrastructure design

Area Business
BCM; Continuity
Management

Resilientcommunities“Nudging”
psychologicalprocess to disasterrisk

Incentive forinvestment

Agriculture,
Aquaculture andNatural Resources(AANR)
Setting All

Attractive
policyproposalbiodiversityBrighttomorrow of
Davao

24

24

Platform on Water Resilience and Disasters in the Philippines
Workplan of Capacity Development on Climate Change in Davao City

1. CC Orientation

2. Platform Plenary
Meeting

3. DIAS End-user
Training

4. Policy &Benchmarking WS

Objective- Contribution adaptation
measures development- Encouragement andcoordination of multistakeholder engagement

Objective- Status sharing andupdate of the Platform
activities among all
members- Discussion on further
activities of Platform

Objective- To capacitate endusers on the know-how
of DIAS- To maximize theutilization of DIAS

Objective- Contribution to local
policy-making on CC- Best practice on theimportance, applicability
and usability.

Oct.
2019

Apr.
2020

Expected Output- Activity design for CC
adaptation- Barangay-level damage
data analysis

Expected Output- FF System for DavaoRB- Data integration
examples2020

Expected Output- Data uploading bystakeholders- Data integration
products

2020
Expected Output- Policy proposal on CC
adaptation to Mayor- Community action25

25

Academic Field Surveys in Japan and Overseas Countries

Flood damage in Mabi Town due toa levee breach along the Oda River

Tidal bore observed at
the Sittaung River estuary

A house half-buried after a flood with amassive amount of sediment hit the area
(Marumori Town, Miyagi Prefecture)

Survey of bed material
in the Stung Sen River

26

Challenge to Localism
Delivering best available knowledge to local practices

Training

Research

Number of peer reviewed paper (from April to March)
FY2006 FY2007 FY2008 FY2009 FY2010 FY2011 FY2012 FY2013 FY2014 FY2015 FY2016 FY2017 FY2018 FY2019

5

6

11

4

12

16

9

20

18

22

44

30

18

19

27

Capacity Building
More than 1,500 individuals from 57 countries
2007
1. Master’s degree course (1 year)•

In cooperate with the National Graduate Institute for
Policy Studies (GRIPS) and Japan International
Cooperation Agency (JICA) since 2007.

2. Doctor’s degree course (3 years)•

In cooperate with the GRIPS (since 2010) and JICA
(since 2018)

3. Follow-up Seminar for the Alumni Members•

Kuala Lumpur 2007, Guangzhou 2008, Manila 2009,
Hanoi 2010, Bangkok 2012, Dhaka 2013, Kuala Lumpur
2014, Jakarta 2015, Tokyo 2016, Manila 2017, Yangon
2017, Kathmandu 2018, Colombo 2020

4. Internship from Japan and abroad•

Number: 2 (`09), 3(`11), 3(`12), 3(`13), 5(`14), 2(`15),
10(`16), 7(`17) , 6(`18) , 4(`19)

2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
total

Master’s

Ph.D.

10
7
12
12
19
12
12
13
13
8
14
7
(11)
132

1
1
2
3
2
2
(1)
(3)
11

28

28

2016-2017 Master’s Course
Mr. GAMA Samuel Joseph
Principal Mitigation Officer, Office of the Vice President,
Department of Disaster Management Affairs - Malawi

・・・ When I had returned from my studies in Japan, I proposed to theMalawi government a need for the development of a country level
National Resilience Strategy that have elements of science (risk reduction
interventions) and social aspects (software DRM aspects) in order toaddress the problems of floods and drought that usually affects majority of
Malawi communities on annual basis. The proposal was accepted by the
Malawi Government and as such, I coordinated the development of a 13year National Resilience Strategy (NRS) in 2018.

2014-2015 Master’s Course
Ms. Myo Myat Thu
Deputy Staff Officer, Assistant Forecaster in River
Forecasting Section, Department of Meteorology
and Hydrology under the control of the Ministry ofTransport and Communications, Myanmar
I had the great opportunities to share my experience and knowledge of a Master’s degree in
ICHARM to my colleagues. Since I had been working in the Research and Training Section,
one of my responsibilities is to share my experiences with the trainees. By using theexperiences where I got in Japan, I promote the student’s intrinsic motivation in the subjectsof disaster management as a tutor.

29

Challenge to Localism
Delivering best available knowledge to local practices

Training

Research

30

Platform on Water Resilience and Disasters

Transdisciplinary

3. Societal
BenefitCreation

Higher
Education
High-Level Policy-Maker

National Graduate Research Institute for Policy Study (GRIPS)
Community ofPractice

Policy-making

present
Interdisciplinary

2. ModelDevelopment

Societal Change(land use , population)

past

Monitoring

Identification

Integrated Risk Assessment

1. DataArchiving

DamageHazardSocioEconomic

ICHARM

High-Level Practitioner

Prediction

Climate Change

Capacity Building

future

PhD
CourseMasterCourseShort
CourseUpgrading
Education
31

32

33

2nd Stakeholder Workshop in Fortaleza (March 2019)Japan-World Bank Seminar on Water and Disasters
Washington, D.C. (June 2019)

The grant which financed this Pilot for Agriculture Drought Monitoring and Prediction in Brazil wasreceived under the Japan-Bank Program for Main-streaming DRM in Developing Countries which isfinanced by the Government of Japan34

Water Disaster Platform to Enhance Climate
Resilience in Africa (WADiRE-Africa)

35

Special lecture by
Mr. Koïchiro Matsuura, the 8th Director-General of UNESCO

The 64th seminar was held on January 16, 2019, as a special lecture
by Mr. Koichiro Matsuura, the eighth Director-General of UNESCO.

Side event at the 23rd UNESCO- “Panel on Water and Disasters” 27th UNESCO-IHP Regionalat the UNESCO International
Steering Committee Meeting for
IHP Intergovernmental Council
Water Conference (May 2019)
Asia and the Pacific (Oct. 2019)
meeting (June 2018)

36

ICHARM Chief Researcher Tokunaga and Ikeda
as Chair, Working Group on Hydrology (WGH) of the Typhoon Committee(TC)Thematic Event “Technology &Innovations” at the Asia Ministerial
Conference on DRR (July 2018)

Technical session at the WorldBOSAI Forum 2019
(November 2019)

Asian Water Cycle Initiative (AWCI)
Session GEOSS Asia-Pacific Symposium
Canberra Australia (Nov. 2019)

4th UN Special Thematic Session on
Water and Disasters (June 2019)

ADBI-ICHARM Policy Dialogue on
Water-related Disaster Resilience under Climate Change
37(January 2020)37

Challenge to Localism
Delivering best available knowledge to local practices

Asian Water Cycle Initiative (AWCI) GEOSS Asia-Pacific Symposium
Kyoto Japan (Nov. 2018)

Training

ResearchThank you very much for your attention!
38