PLATFORMSON
WATER RESILIENCE AND DISASTERSFORSOCIAL SUSTAINABILITY
Noriyuki MORIInternational Centre for Water Hazard and Risk Management (ICHARM),Public Works Research Institute (PWRI) -Japan

ICHARM 3 missions
Innovative Research-Advanced Technology-Communities

DonorsRCUWM TEHRAN,IWPCSHIUNESCO, WMO, ISDR, IAHS,IAHR, ICSU, UNESCO-IHE

IWHR, IRTCES

NGOs

KDPA, KICT, K-Water

Typhoon Committee
ICIMOD, BWDB, RID,DID, HTC, MRC

Government of Pakistan

USGS, USBR, IWR
MLIT, MEXT, NILIM, UNU, ADRC,FRICS, NARBO, IFNet, JWF, JICA,GRIPS, JAXA, DPRI, UY, NIED, JWA

UCD

Government of Philippines, ADB

Government of Sri Lanka

HidroEX

Government of Indonesia

Government of Bangladesh

Government of Myanmar

Researchers

Efficient Information
Networking

Policymakers

Practitioners

Effective Capacity
Building

Implementing projects by practicing localism through
Online Synthesis System for Sustainability and Resilience (OSS‐SR)OSS-SR FUNCTIONS

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PLATFORM IN THE PHILIPPINESPLATFORM IN THE PHILIPPINES
Online Synthesis System for Sustainability and Resilience (OSS-SR) in Davao City, Philippines
Policymakingg

Decisionmakingg

Prior
Investment

Society

Local
PracticeFacilitators
e‐Learning

CC & DRRCC
Impact Uncertainty 3D FHM COVID-19
Real-time
HazardSystemEffective Translating Knowledge
Mapping
Infosharing
OSS

Introductory Lecture

Barangay-scaleIn-situ
Gauge

High-resolution
Hazard Map

Flood Monitoring & Forecasting System

PAGASA
ServerAuthorizedPart

Realtime
AccessHands‐onClimate Change
Impact Assessment

Basinscale

Realtime Flood
Monitoring & Forecasting

2D & 3D FHM
OSS Guide Contingency
Communication
Planning
Planning

3D Flood
Hazard Map on
Google Earth

Risk Assess &Contingency

Satellite Rainfall
GSMaP

BasinBarangay
scale-scale
Climate Change
ImpactCloud ImageHIMAWARI-8

Present

System Configuration

Rain, WL, Discharge, Inundation

Future(Objective, Outline)

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PLATFORM IN THE PHILIPPINES
Institutional Platform

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PHILIPPINE OSS: FLOOD FORECASTINGFOR OPERATIONAL EWS
Hints for Resilience

User /
Facilitator
verifyDynamic rainfall
animation

Inundation
forecasting by
model

Local truth
Inundation
identification (uploaded info.)
by satellite

Primary Analysis

A robust flood forecasting system by
the mobilization of all available
data/input has been developed inOSS-SR.
The information provision mechanism
consists of 3 layers as illustrated in thefigure. GSMaP, a satellite-based
rainfall, serves as a backup input tosustain flood forecasting even if
ground gauge rainfall is not available.

ExpertCloud & rain
area distribution

GroundWater body status
Floodsimulation identification

Source/Data/Application
Cloud ImageHIMAWARI-8

Optical sensor

Sentinel-2
Real-time Real-time input (back-up)
SAR
input
Sentinel-1

In-situ

Gauge

Hydro-Model

Satellite Rainfall

GSMaP

Bias
correction

NWP RRI/WEB-RRI

ExpertSatellite observation(Sentinel-2)

Simulation

Comparison of inundation
during Ty. Noru, 2022TRAINING WS AND DELIVERABLE
Deliverables of Training

Participants from Different Disciplines
Discipline

1st WS

2nd WS

National Government

1110Local Government

24Academe

1113Civil Society Organization

12Private Sector

21Media

21TOTAL

2931

Present climate

Future climate

Fine Resolution Hazard Map

8Participants in the Q & A Session

Birds-eye view hazard map

3D Hazard Map

Inundation depth with their houses

Discussion among
participants

PLATFORM IN INDONESIAE-LEARNING & WORKSHOPS IN INDONESIA In order to strengthening disaster resilience and achieving sustainable development under climate change
in Indonesia, ICHARM with Japanese government agencies implemented e-learning & workshops.
ICHARMCurriculum•••

Four (4) lectures on Climate Change (CC)Five (5) lectures on Government Action (GOV)
Four (4) lectures on Operation (OP)

Schedule-Opening SessionVideo message from theMinister Basuki, PUPR

••
•
•
•

October 5, Opening Session & CC introduction
October 12, Workshop Session-1 & GOV introduction
October 19, Workshop Session-2 & OP introduction
October 26, Workshop Session-3 & Assignment
November 5, Closing Session

The one-month e-learning course completed on Nov. 5.
32 experts from 6 organizations successfully got the certificates.

PLATFORM IN SRI LANKA

Sri Lanka OSS: Numerical Model setting
NCEP Global Forecast
System (GFS)

Regional NWP model (WRF)

Rainfall distribution
A goodforecast

Rainfall Forecast from May 23
A goodforecast

20km

Observation

4km

Forecast from 18UTC for 72hours is available at around 01UTC next day.

Rainfall (mm)GSMaP satellite rainfall (June 2017—Feb. 2020)
Discharge Forecast from May 23, Putu
A goodforecast

Predicted rainfall

Observation

Sri Lanka OSS: Flood Forecasting System

Risk Estimation

http://ff‐srilanka.diasjp.net

PLATFORM IN SRI LANKA
Participating Stakeholders•Irrigation Department•Disaster Management Center•Meteorological Department•National Building Research Organization•Mahaweli Authority

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REGIONAL COOPERATION AMONG PLATFORMS

Regional Cooperation through AOGEO(Asia-Oceania Group on Earth Observations)

September 21 2022, ONLINE

2022 AOGEO Statement (excerpted)
By enhancing the functions of the OSS-SR and theFacilitators and promoting water cycle consilience, AsianWater Cycle Initiative (AWCI) will continue to support thePlatforms and their cross-sectoral decision making at local
to national levels in order to promote transformation into
quality-oriented societies that are resilient, sustainable, andinclusive.

October 29 2021, ONLINE

October 24-26, 2018,
Kyoto, JAPANNovember 3, 2019,
Canberra, Australia,

February 26 2021, ONLINE

Thank you so muchfor your kind attentions!

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Davao City, Philippines, 2019