SlideShare a Scribd company logo
1 of 25
An Introduction to
Disaster Information Sharing System
Considering the Diversity of the Municipalities
and its Possible Utilization
in the Aftermath of 2015 Gorkha Earthquake
Tadashi ISE (1 and Akhilesh Kumar Karna (2
1) Principal Research Fellow, Disaster Risk Unit,
National Research Institute for Earth Science and Disaster Resilience (NIED), Japan
2) Freelance Engineer,
Sunrise Cityhomes-B2, Anamnagar New Baneshwor, Kathmandu, Nepal
7th International Conference on Integrated Disaster Risk Management
Isfahan, IRAN
1-3 October 2016
1
Self-introduction
• National Research Institute for Earth Science and
Disaster Resilience (NIED), Japan
– 1963 Established
– For the management of the seismograph, mainly analysis
and measurement of natural disasters
• Our Team (Disaster Risk Unit)
– In recent years, in order to improve the disaster prevention
force, social science approach is necessary
– Studying the utilization of disaster information
• My research theme
– Research and development of disaster information sharing
system
2
2015 Gorkha Earthquake in Nepal
• Date : 11:56 NST (local time) on 25 April, 2015
• magnitude : 7.8 (MW)
• epicenter : the central part of NEPAL
• At that time, disaster information how to share, how had
been utilized
We had the interviews to people of various positions
3
4
List of Interviewees
*26-May
JICA NEPAL, Tribhuvan University Institute of Engineering, National Society for Earthquake
Technology-Nepal (NSET)
*27-May
Japanese resident, Nepal Electricity Authority, Nepal Electricity Authority Ratnapark
Distribution Center, General public
*28-May
Victim in Tundekhel Shelter, World Vision (NPO) , Nepal Risk Reduction Consortium, Nepal
Health Research Council (NHRC), Freelance Engineer, JAPANESE RED CROSS SOCIETY
*29-May
Grocery stores management in Charikot, Dolakha,
Sindhu Sadabahar Hospital in Khadichaur, Sindhupalchok
*30-May
Nepal Electricity Authority, JICA Expert, Victim in Sankhu, NPO, Tibetan children’s Project
*31-May
Lalitpur Sub-Metropolitan City Office, Kathmandu Metropolitan City, Ministry of Home
Affairs District Administration Office, JICA NEPAL
*1-June
Sagarmata Television Pvt. Ltd., Department of Water Induced Disaster Prevention,
Priest of Bodanato., Japanese Mountaineer
5
6
Summary of Issues in Utilization of Disaster Info.
• For information sharing among central governments, such as
information linkage between the Nepal government and
governmental institution of various countries, a mechanism to
share information of damage and responding situations using
the information sharing system called the CLUSTER SYSTEM is
functioning with the support of the United Nations.
• The CLUSTER SYSTEM, which was developed by OCHA, is a
system that has been used in a number of countries and was
effectively applied to handle the 2015 Gorkha Earthquake
situation.
• The interviewees of this survey including staff of the Nepal
Health Research Council (NHRC), which is a research institute
of MoHP; the JICA Nepal Office (Survey No. 26); and the
National Society of Earthquake Technology (NSET), which is a
major earthquake research institute in Nepal (Survey No. 2),
said the CLUSTER SYSTEM was the main mechanism used to
share disaster information.
- What has been found from the interviews -
7
Summary of Issues in Utilization of Disaster Info.
On the other hand……
• With the support of the United Nations, central
governments of various countries are taking action,
but due to the limited capability of local
governments affected by the political situation,
which has been unstable for a long time, support for
disaster victims is not comprehensive enough.
• Disaster information gathering from the disaster site
to the district department level is mainly done by
mobile phones
• Reporting format of various disaster information is
not prepared.
8
Approach toward Introduction of
NIED Disaster Information Sharing System
 NIED has long studied and developed a disaster
information sharing system to support the smooth
utilization of disaster information.
 Based on Web-GIS for sharing geographical information
indicating disaster situations and corresponding
statuses on the Internet.
 The visual organization and presentation of disaster
information, including to neighboring municipalities as
geographical information.
9
(2) Display procedures
of each operation with
menu buttons
(3) Visually indicate
items that should be
entered
(1) Tab format to classify
operations of emergency
disaster correspondence
Figure : Image of two-layered tabs and menu buttons
- Based on Web-GIS
- Composed by Map & List view
10
Target municipality
of this system
Neighboring municipality
Neighborin
municipality
Figure : Image of information sharing with neighboring autonomous communities
11
The effect of the NIED system
 Since the situation of the neighboring municipality is
visible, with cooperation, effective disaster response
will be carried out.
 The information that municipalities have input, it will
be possible to integration in the district (higher level)
government office immediately.
 For example, Kathmandu City and Lalitpur City,
District Office, by sharing each situation, we will be
able to carry out effective response.
This is the purpose of our research for disaster
information sharing system.
12
Explanatory meeting
Content
Date Date: 1, Nov, 2015
From 10:00 to 11:00
Place Radisson Hotel in Kathmandu
Participant Kathmandu City
Lalitpur City
Baktpur City
Thimi City
Baktpur District Development Committee
13
Hands-on Demonstration
Content
Date Date: 10, Jan, 2016 From 10:00 to 13:30
Place Radisson Hotel in Kathmandu
Participant Kathmandu City, Lalitpur City
Baktpur City, Thimi City
Baktpur District Development Committee
JICA-Nepal
14
An outline of participant responses
to the demonstration
 What is expected of the system:
- All 11 respondents of the questionnaire survey felt that
the system is highly effective for the local government.
- From local governments to the central government, will be
linked to ensure information sharing.
 What should be conducted simultaneously with the
introduction of this system:
- Training in inputting information to the system and
improving the skills of information collection and
organization should be provided.
- A system that can guarantee the reliability of information
should be established.
15
Summary
 There is no standardization on what information should be
reported and in which form this information should be
transmitted from the affected spots to district governments in
the wake of a disaster, which forms a major bottleneck in the
nationwide flow of disaster information.
 In addition, NIED disaster information sharing system was
introduced as a measure to overcome the problems faced by
municipalities around Kathmandu, and a demonstration of
this system was held.
 From the demonstration, it is clear that the local government
staff in Nepal has high expectations for this system.
 In future, we will conduct a more detailed investigation on the
effects of introducing this system, identify the problems that
arise from this introduction, and develop countermeasures for
these problems.
16
Thank you for your attention.
It is appreciated in any questions or comments.
17
Measures to communication disruption
IDRiM 2016 in Isfahan, Iran 18
緊急代行サーバ
被災自治体
緊急代行サーバ
DB
被災自治体
System
DB
System
DB
STOP
Local Gov.
Temporary server
DB
Affected Local Gov.
Normal:
The system & DB
are working on Cloud.
① ②
③ ④
Disaster:
Boot the PC as a server with a USB
Bring back the latest data
to the LAN
※ 電波の届くところまで移動し、ファイルとしてデータを格納 ※ 通信回復時に再同期
Results of Interviews
1) Education before Disaster Occurrence
 Through an initiative of the National Society for
Earthquake Technology-Nepal (NSET) and other
organizations, disaster prevention education is
provided and the effect is partially observed.
 However, among the general public of Nepal, hazard
maps are not well recognized
 and the level of understanding of the correct
response to protect oneself at the time of an
earthquake is low, so disaster prevention education
cannot be said to be very effective.
IDRiM 2016 in Isfahan, Iran 19
Results of Interviews
2) Communication Environment after Disaster
 In the central area of Kathmandu, some interviewees
said that mobile phone communication was available for
20 minutes after the disaster in some areas.
 Communications started becoming congested 30 minutes
after the disaster and recovered about a half day later (5
to 6 hours).
 However, even around Kathmandu Valley, it took about
three weeks for the restoration of service in some areas.
 Internet services in the central part of Kathmandu
recovered in a few hours, and no significant damage was
observed. However, use of smartphones or personal
computers was restricted due to electricity outages.
IDRiM 2016 in Isfahan, Iran 20
Results of Interviews
3) Basic System of Response to Disaster
 In the event of a large-scale disaster such as the 25
April earthquake, the Nepal Emergency Operation
Center (NEOC) of the Ministry of Home Affairs is
officially tasked with conducting overall risk
management.
 However, due to the unstable political situation that
has pertained for a prolonged period, NEOC is not
functioning effectively and thus disaster response is
in fact carried out with the help of the United
Nations and governmental institutions of countries
providing aid.
IDRiM 2016 in Isfahan, Iran 21
Results of Interviews
4) Collection and Sharing of Knowledge Regarding Damage
(among central governments)
 Information sharing among central governments, such as
between the Nepal government and governmental
institutions of various countries, is conducted relying on the
CLUSTER SYSTEM, which was developed through an UN-OCHA.
 However, given the limited capability of the Nepal
government, the actual operation is conducted by the United
Nations.
 The CLUSTER SYSTEM is used to summarize the activities of
governmental departments, and the information on deaths
and injuries collected from the hospital network overseen by
the Ministry of Health and Population functioned relatively
well. Having the national hospital as the Hub-Hospital,
damage in respective regions are summarized and reported.
IDRiM 2016 in Isfahan, Iran 22
Results of Interviews
5) Collection and Sharing of Damage Information
(among local governments)
 Information sharing at the level of local governments
between the site of a disaster and the central
government is realized mainly via mobile phones.
 ex) In Kathmandu City, 71 engineers are engaged in
the task in 35 districts, in Lalitpur City, and 17
engineers engaged in the task for 30 districts to
understand the damage to constructions. The
information gathered by them is reported to their
respective district administration offices.
IDRiM 2016 in Isfahan, Iran 23
Results of Interviews
6) Provision of Information to Disaster Victims
 With the support of the United Nations, central
governments of various countries are taking action,
but due to the limited capability of local
governments affected by the political situation,
which has been unstable for a long time, support for
disaster victims is not comprehensive enough.
 The information provided by the government is
inadequate and, for the psychological ease of
residents, more information is need.
 In the city of Kathmandu, a system was launched
whereby ID cards are distributed to disaster victims
to control distribution of supplies, etc.
IDRiM 2016 in Isfahan, Iran 24
Results of Interviews
7) Others
 One of the largest characteristics of the damage
caused by the 25 April earthquake is that many
Nepalese people choose to sleep outdoors for more
than a month as they were afraid of damage to
buildings caused by aftershocks.
 This generated anxieties over property loss and
damage to health.
IDRiM 2016 in Isfahan, Iran 25

More Related Content

What's hot

Ict In Disaster Risk Reduction India Case
Ict In Disaster Risk Reduction  India CaseIct In Disaster Risk Reduction  India Case
Ict In Disaster Risk Reduction India CaseSujit Mohanty
 
PROTOTYPE OF DISASTER MANAGEMENT INFORMATION SYSTEM IN YOGYAKARTA PROVINCE, I...
PROTOTYPE OF DISASTER MANAGEMENT INFORMATION SYSTEM IN YOGYAKARTA PROVINCE, I...PROTOTYPE OF DISASTER MANAGEMENT INFORMATION SYSTEM IN YOGYAKARTA PROVINCE, I...
PROTOTYPE OF DISASTER MANAGEMENT INFORMATION SYSTEM IN YOGYAKARTA PROVINCE, I...Global Risk Forum GRFDavos
 
India Disaster Resource Network
India Disaster Resource NetworkIndia Disaster Resource Network
India Disaster Resource NetworkSujit Mohanty
 
Global Centre for Disaster Statistics Yuichi ONO
Global Centre for Disaster Statistics  Yuichi ONOGlobal Centre for Disaster Statistics  Yuichi ONO
Global Centre for Disaster Statistics Yuichi ONOGlobal Risk Forum GRFDavos
 
Presentation on Disaster Management Information System by Le Minh Ba - NDMP
Presentation on Disaster Management Information System by Le Minh Ba - NDMPPresentation on Disaster Management Information System by Le Minh Ba - NDMP
Presentation on Disaster Management Information System by Le Minh Ba - NDMPict4devwg
 
Ramage Gi4DM Keynote March 2018
Ramage Gi4DM Keynote March 2018Ramage Gi4DM Keynote March 2018
Ramage Gi4DM Keynote March 2018Steven Ramage
 
Early Warning Systems
Early Warning SystemsEarly Warning Systems
Early Warning Systemskaakaawaah
 
Disaster Information Management System (DIMS)
Disaster Information Management System (DIMS)Disaster Information Management System (DIMS)
Disaster Information Management System (DIMS)BeGood Cafe -NGO-
 
PERRELS-Natural hazard insurance coverage and national debt-ID1077-IDRC2014_b
PERRELS-Natural hazard insurance coverage and national debt-ID1077-IDRC2014_bPERRELS-Natural hazard insurance coverage and national debt-ID1077-IDRC2014_b
PERRELS-Natural hazard insurance coverage and national debt-ID1077-IDRC2014_bGlobal Risk Forum GRFDavos
 
Is Space technology contributing enough to Disaster Risk Reduction?
Is Space technology contributing enough to Disaster Risk Reduction?Is Space technology contributing enough to Disaster Risk Reduction?
Is Space technology contributing enough to Disaster Risk Reduction?UN-SPIDER
 
Communication facilities for disaster management in india
Communication facilities for disaster management in indiaCommunication facilities for disaster management in india
Communication facilities for disaster management in indiaShubham Agrawal
 
The Total Flood Warning System: a review of the concept
The Total Flood Warning System: a review of the conceptThe Total Flood Warning System: a review of the concept
The Total Flood Warning System: a review of the conceptNeil Dufty
 
Integration of Indicators on Agriculture-related Damage and Losses
Integration of Indicators on Agriculture-related Damage and LossesIntegration of Indicators on Agriculture-related Damage and Losses
Integration of Indicators on Agriculture-related Damage and LossesUNDP Climate
 
A MOBILE DISASTER MANAGEMENT SYSTEM USING THE ANDROID TECHNOLOGY
A MOBILE DISASTER MANAGEMENT SYSTEM USING THE ANDROID TECHNOLOGYA MOBILE DISASTER MANAGEMENT SYSTEM USING THE ANDROID TECHNOLOGY
A MOBILE DISASTER MANAGEMENT SYSTEM USING THE ANDROID TECHNOLOGYAM Publications
 
UN Integrated Geospatial Information Framework towards achieving the 2030 Age...
UN Integrated Geospatial Information Framework towards achieving the 2030 Age...UN Integrated Geospatial Information Framework towards achieving the 2030 Age...
UN Integrated Geospatial Information Framework towards achieving the 2030 Age...ExternalEvents
 
Role_of_Space_Disaster_Management_India
Role_of_Space_Disaster_Management_IndiaRole_of_Space_Disaster_Management_India
Role_of_Space_Disaster_Management_IndiaThirunarayan Vijayan
 
GIS applications in Emergency / Disaster Management
GIS applications in Emergency / Disaster ManagementGIS applications in Emergency / Disaster Management
GIS applications in Emergency / Disaster ManagementPhongsakorn Uar-amrungkoon
 

What's hot (20)

Ict In Disaster Risk Reduction India Case
Ict In Disaster Risk Reduction  India CaseIct In Disaster Risk Reduction  India Case
Ict In Disaster Risk Reduction India Case
 
PROTOTYPE OF DISASTER MANAGEMENT INFORMATION SYSTEM IN YOGYAKARTA PROVINCE, I...
PROTOTYPE OF DISASTER MANAGEMENT INFORMATION SYSTEM IN YOGYAKARTA PROVINCE, I...PROTOTYPE OF DISASTER MANAGEMENT INFORMATION SYSTEM IN YOGYAKARTA PROVINCE, I...
PROTOTYPE OF DISASTER MANAGEMENT INFORMATION SYSTEM IN YOGYAKARTA PROVINCE, I...
 
India Disaster Resource Network
India Disaster Resource NetworkIndia Disaster Resource Network
India Disaster Resource Network
 
Global Centre for Disaster Statistics Yuichi ONO
Global Centre for Disaster Statistics  Yuichi ONOGlobal Centre for Disaster Statistics  Yuichi ONO
Global Centre for Disaster Statistics Yuichi ONO
 
GIS Support to the First Responder
GIS Support to the First ResponderGIS Support to the First Responder
GIS Support to the First Responder
 
Presentation on Disaster Management Information System by Le Minh Ba - NDMP
Presentation on Disaster Management Information System by Le Minh Ba - NDMPPresentation on Disaster Management Information System by Le Minh Ba - NDMP
Presentation on Disaster Management Information System by Le Minh Ba - NDMP
 
Ramage Gi4DM Keynote March 2018
Ramage Gi4DM Keynote March 2018Ramage Gi4DM Keynote March 2018
Ramage Gi4DM Keynote March 2018
 
Early Warning Systems
Early Warning SystemsEarly Warning Systems
Early Warning Systems
 
Disaster Information Management System (DIMS)
Disaster Information Management System (DIMS)Disaster Information Management System (DIMS)
Disaster Information Management System (DIMS)
 
PERRELS-Natural hazard insurance coverage and national debt-ID1077-IDRC2014_b
PERRELS-Natural hazard insurance coverage and national debt-ID1077-IDRC2014_bPERRELS-Natural hazard insurance coverage and national debt-ID1077-IDRC2014_b
PERRELS-Natural hazard insurance coverage and national debt-ID1077-IDRC2014_b
 
Is Space technology contributing enough to Disaster Risk Reduction?
Is Space technology contributing enough to Disaster Risk Reduction?Is Space technology contributing enough to Disaster Risk Reduction?
Is Space technology contributing enough to Disaster Risk Reduction?
 
Dm
DmDm
Dm
 
Communication facilities for disaster management in india
Communication facilities for disaster management in indiaCommunication facilities for disaster management in india
Communication facilities for disaster management in india
 
The Total Flood Warning System: a review of the concept
The Total Flood Warning System: a review of the conceptThe Total Flood Warning System: a review of the concept
The Total Flood Warning System: a review of the concept
 
Integration of Indicators on Agriculture-related Damage and Losses
Integration of Indicators on Agriculture-related Damage and LossesIntegration of Indicators on Agriculture-related Damage and Losses
Integration of Indicators on Agriculture-related Damage and Losses
 
A MOBILE DISASTER MANAGEMENT SYSTEM USING THE ANDROID TECHNOLOGY
A MOBILE DISASTER MANAGEMENT SYSTEM USING THE ANDROID TECHNOLOGYA MOBILE DISASTER MANAGEMENT SYSTEM USING THE ANDROID TECHNOLOGY
A MOBILE DISASTER MANAGEMENT SYSTEM USING THE ANDROID TECHNOLOGY
 
UN Integrated Geospatial Information Framework towards achieving the 2030 Age...
UN Integrated Geospatial Information Framework towards achieving the 2030 Age...UN Integrated Geospatial Information Framework towards achieving the 2030 Age...
UN Integrated Geospatial Information Framework towards achieving the 2030 Age...
 
Role_of_Space_Disaster_Management_India
Role_of_Space_Disaster_Management_IndiaRole_of_Space_Disaster_Management_India
Role_of_Space_Disaster_Management_India
 
GIS applications in Emergency / Disaster Management
GIS applications in Emergency / Disaster ManagementGIS applications in Emergency / Disaster Management
GIS applications in Emergency / Disaster Management
 
Disaster database slide
Disaster database slideDisaster database slide
Disaster database slide
 

Similar to An Introduction to Disaster Information Sharing System

Haze Gazer - Tool Overview
Haze Gazer - Tool Overview Haze Gazer - Tool Overview
Haze Gazer - Tool Overview UN Global Pulse
 
2015_Sept_30_NepalEQ-CaseStudy_Final-2col
2015_Sept_30_NepalEQ-CaseStudy_Final-2col2015_Sept_30_NepalEQ-CaseStudy_Final-2col
2015_Sept_30_NepalEQ-CaseStudy_Final-2colRobin Crozier
 
CLEARINGHOUSE FOR GEO-SPATIAL DATA FOR AN EMERGENCY PERSPECTIVE
CLEARINGHOUSE FOR GEO-SPATIAL DATA FOR AN EMERGENCY PERSPECTIVECLEARINGHOUSE FOR GEO-SPATIAL DATA FOR AN EMERGENCY PERSPECTIVE
CLEARINGHOUSE FOR GEO-SPATIAL DATA FOR AN EMERGENCY PERSPECTIVEAshim Sharma
 
Mining Citizen Feedback Data for Enhanced Local Government Decision-Making - ...
Mining Citizen Feedback Data for Enhanced Local Government Decision-Making - ...Mining Citizen Feedback Data for Enhanced Local Government Decision-Making - ...
Mining Citizen Feedback Data for Enhanced Local Government Decision-Making - ...UN Global Pulse
 
Evolving Disaster Risk Governance in Local Communities: Demonstration Experim...
Evolving Disaster Risk Governance in Local Communities: Demonstration Experim...Evolving Disaster Risk Governance in Local Communities: Demonstration Experim...
Evolving Disaster Risk Governance in Local Communities: Demonstration Experim...Global Risk Forum GRFDavos
 
Explanatory material of NIED Disaster Information Sharing System
Explanatory material of NIED Disaster Information Sharing SystemExplanatory material of NIED Disaster Information Sharing System
Explanatory material of NIED Disaster Information Sharing SystemTadashi Ise
 
Session 4: EWEA PMI
Session 4: EWEA PMISession 4: EWEA PMI
Session 4: EWEA PMIIFRCCOMMS
 
A Review on Wireless Sensor Network Protocol for Disaster Management
A Review on Wireless Sensor Network Protocol for Disaster ManagementA Review on Wireless Sensor Network Protocol for Disaster Management
A Review on Wireless Sensor Network Protocol for Disaster ManagementEditor IJCATR
 
Progress of land ecosystem studies with geo information and space technology ...
Progress of land ecosystem studies with geo information and space technology ...Progress of land ecosystem studies with geo information and space technology ...
Progress of land ecosystem studies with geo information and space technology ...Institute of Space Knowledge Development
 
Research project IT Platform final draft
Research project IT Platform  final draft Research project IT Platform  final draft
Research project IT Platform final draft Didit Permana
 
Cluster-based water level patterns detection
Cluster-based water level patterns detectionCluster-based water level patterns detection
Cluster-based water level patterns detectionTELKOMNIKA JOURNAL
 
Building Information Systems and Rural Development in Egypt: The Learned Lessons
Building Information Systems and Rural Development in Egypt: The Learned LessonsBuilding Information Systems and Rural Development in Egypt: The Learned Lessons
Building Information Systems and Rural Development in Egypt: The Learned LessonsIAALD Community
 
SocialCops and UN Papua New Guinea: Presentation for Data Stocktaking Workshop
SocialCops and UN Papua New Guinea: Presentation for Data Stocktaking WorkshopSocialCops and UN Papua New Guinea: Presentation for Data Stocktaking Workshop
SocialCops and UN Papua New Guinea: Presentation for Data Stocktaking WorkshopSocialCops
 
DESIGN OF A SECURE DISASTER NOTIFICATION SYSTEM USING THE SMARTPHONE BASED BE...
DESIGN OF A SECURE DISASTER NOTIFICATION SYSTEM USING THE SMARTPHONE BASED BE...DESIGN OF A SECURE DISASTER NOTIFICATION SYSTEM USING THE SMARTPHONE BASED BE...
DESIGN OF A SECURE DISASTER NOTIFICATION SYSTEM USING THE SMARTPHONE BASED BE...csandit
 
An Interpretive Study on Information Usage and ICT Adoption in Rural Areas
An Interpretive Study on Information Usage and ICT Adoption in Rural AreasAn Interpretive Study on Information Usage and ICT Adoption in Rural Areas
An Interpretive Study on Information Usage and ICT Adoption in Rural AreasDoy Sundarasaradula
 
DIGITAL SOCIETY : A REVIEW OF E-SERVICE AND MOBILE TECHNOLOGY IN EARTHQUAKES ...
DIGITAL SOCIETY : A REVIEW OF E-SERVICE AND MOBILE TECHNOLOGY IN EARTHQUAKES ...DIGITAL SOCIETY : A REVIEW OF E-SERVICE AND MOBILE TECHNOLOGY IN EARTHQUAKES ...
DIGITAL SOCIETY : A REVIEW OF E-SERVICE AND MOBILE TECHNOLOGY IN EARTHQUAKES ...IJMIT JOURNAL
 

Similar to An Introduction to Disaster Information Sharing System (20)

Haze Gazer - Tool Overview
Haze Gazer - Tool Overview Haze Gazer - Tool Overview
Haze Gazer - Tool Overview
 
2015_Sept_30_NepalEQ-CaseStudy_Final-2col
2015_Sept_30_NepalEQ-CaseStudy_Final-2col2015_Sept_30_NepalEQ-CaseStudy_Final-2col
2015_Sept_30_NepalEQ-CaseStudy_Final-2col
 
CLEARINGHOUSE FOR GEO-SPATIAL DATA FOR AN EMERGENCY PERSPECTIVE
CLEARINGHOUSE FOR GEO-SPATIAL DATA FOR AN EMERGENCY PERSPECTIVECLEARINGHOUSE FOR GEO-SPATIAL DATA FOR AN EMERGENCY PERSPECTIVE
CLEARINGHOUSE FOR GEO-SPATIAL DATA FOR AN EMERGENCY PERSPECTIVE
 
Mining Citizen Feedback Data for Enhanced Local Government Decision-Making - ...
Mining Citizen Feedback Data for Enhanced Local Government Decision-Making - ...Mining Citizen Feedback Data for Enhanced Local Government Decision-Making - ...
Mining Citizen Feedback Data for Enhanced Local Government Decision-Making - ...
 
Evolving Disaster Risk Governance in Local Communities: Demonstration Experim...
Evolving Disaster Risk Governance in Local Communities: Demonstration Experim...Evolving Disaster Risk Governance in Local Communities: Demonstration Experim...
Evolving Disaster Risk Governance in Local Communities: Demonstration Experim...
 
Explanatory material of NIED Disaster Information Sharing System
Explanatory material of NIED Disaster Information Sharing SystemExplanatory material of NIED Disaster Information Sharing System
Explanatory material of NIED Disaster Information Sharing System
 
Lesson Learnt from INA TEWS
Lesson Learnt from INA TEWSLesson Learnt from INA TEWS
Lesson Learnt from INA TEWS
 
Session 4: EWEA PMI
Session 4: EWEA PMISession 4: EWEA PMI
Session 4: EWEA PMI
 
Information Communication Technology Emergency Telecom
Information Communication Technology Emergency TelecomInformation Communication Technology Emergency Telecom
Information Communication Technology Emergency Telecom
 
APEC TEL41 990510
APEC TEL41  990510APEC TEL41  990510
APEC TEL41 990510
 
Japón kiyoko tsutsumi
Japón kiyoko tsutsumiJapón kiyoko tsutsumi
Japón kiyoko tsutsumi
 
A Review on Wireless Sensor Network Protocol for Disaster Management
A Review on Wireless Sensor Network Protocol for Disaster ManagementA Review on Wireless Sensor Network Protocol for Disaster Management
A Review on Wireless Sensor Network Protocol for Disaster Management
 
Progress of land ecosystem studies with geo information and space technology ...
Progress of land ecosystem studies with geo information and space technology ...Progress of land ecosystem studies with geo information and space technology ...
Progress of land ecosystem studies with geo information and space technology ...
 
Research project IT Platform final draft
Research project IT Platform  final draft Research project IT Platform  final draft
Research project IT Platform final draft
 
Cluster-based water level patterns detection
Cluster-based water level patterns detectionCluster-based water level patterns detection
Cluster-based water level patterns detection
 
Building Information Systems and Rural Development in Egypt: The Learned Lessons
Building Information Systems and Rural Development in Egypt: The Learned LessonsBuilding Information Systems and Rural Development in Egypt: The Learned Lessons
Building Information Systems and Rural Development in Egypt: The Learned Lessons
 
SocialCops and UN Papua New Guinea: Presentation for Data Stocktaking Workshop
SocialCops and UN Papua New Guinea: Presentation for Data Stocktaking WorkshopSocialCops and UN Papua New Guinea: Presentation for Data Stocktaking Workshop
SocialCops and UN Papua New Guinea: Presentation for Data Stocktaking Workshop
 
DESIGN OF A SECURE DISASTER NOTIFICATION SYSTEM USING THE SMARTPHONE BASED BE...
DESIGN OF A SECURE DISASTER NOTIFICATION SYSTEM USING THE SMARTPHONE BASED BE...DESIGN OF A SECURE DISASTER NOTIFICATION SYSTEM USING THE SMARTPHONE BASED BE...
DESIGN OF A SECURE DISASTER NOTIFICATION SYSTEM USING THE SMARTPHONE BASED BE...
 
An Interpretive Study on Information Usage and ICT Adoption in Rural Areas
An Interpretive Study on Information Usage and ICT Adoption in Rural AreasAn Interpretive Study on Information Usage and ICT Adoption in Rural Areas
An Interpretive Study on Information Usage and ICT Adoption in Rural Areas
 
DIGITAL SOCIETY : A REVIEW OF E-SERVICE AND MOBILE TECHNOLOGY IN EARTHQUAKES ...
DIGITAL SOCIETY : A REVIEW OF E-SERVICE AND MOBILE TECHNOLOGY IN EARTHQUAKES ...DIGITAL SOCIETY : A REVIEW OF E-SERVICE AND MOBILE TECHNOLOGY IN EARTHQUAKES ...
DIGITAL SOCIETY : A REVIEW OF E-SERVICE AND MOBILE TECHNOLOGY IN EARTHQUAKES ...
 

More from Tadashi Ise

官民連携によるオルソ画像の共有(第3部 能登半島地震におけるドローン活用セミナー)
官民連携によるオルソ画像の共有(第3部 能登半島地震におけるドローン活用セミナー)官民連携によるオルソ画像の共有(第3部 能登半島地震におけるドローン活用セミナー)
官民連携によるオルソ画像の共有(第3部 能登半島地震におけるドローン活用セミナー)Tadashi Ise
 
【発表資料】実動機関の走行履歴の共有による道路状況の把握 - 令和6年能登半島地震への緊急対応より -
【発表資料】実動機関の走行履歴の共有による道路状況の把握 - 令和6年能登半島地震への緊急対応より -【発表資料】実動機関の走行履歴の共有による道路状況の把握 - 令和6年能登半島地震への緊急対応より -
【発表資料】実動機関の走行履歴の共有による道路状況の把握 - 令和6年能登半島地震への緊急対応より -Tadashi Ise
 
実動機関の情報共有、その効果と課題 NIED’s initial response to the 2024 Noto Peninsula Earthquake
実動機関の情報共有、その効果と課題 NIED’s initial response to the 2024 Noto Peninsula Earthquake実動機関の情報共有、その効果と課題 NIED’s initial response to the 2024 Noto Peninsula Earthquake
実動機関の情報共有、その効果と課題 NIED’s initial response to the 2024 Noto Peninsula EarthquakeTadashi Ise
 
NIED’s initial response to the 2024 Noto Peninsula Earthquake
NIED’s initial response to the 2024 Noto Peninsula EarthquakeNIED’s initial response to the 2024 Noto Peninsula Earthquake
NIED’s initial response to the 2024 Noto Peninsula EarthquakeTadashi Ise
 
Tadashi ISE Public hearing for Ph.D 180923
Tadashi ISE Public hearing for Ph.D 180923Tadashi ISE Public hearing for Ph.D 180923
Tadashi ISE Public hearing for Ph.D 180923Tadashi Ise
 
Generation from Information to Knowledge in Disaster Response - Based on info...
Generation from Information to Knowledge in Disaster Response- Based on info...Generation from Information to Knowledge in Disaster Response- Based on info...
Generation from Information to Knowledge in Disaster Response - Based on info...Tadashi Ise
 
説明資料 自治体フェア2016 160513
説明資料 自治体フェア2016 160513説明資料 自治体フェア2016 160513
説明資料 自治体フェア2016 160513Tadashi Ise
 
官民協働危機管理クラウドシステム説明資料160202
官民協働危機管理クラウドシステム説明資料160202官民協働危機管理クラウドシステム説明資料160202
官民協働危機管理クラウドシステム説明資料160202Tadashi Ise
 
2015日本災害情報学会発表151024
2015日本災害情報学会発表1510242015日本災害情報学会発表151024
2015日本災害情報学会発表151024Tadashi Ise
 
官民協働危機管理クラウドシステム説明資料150330
官民協働危機管理クラウドシステム説明資料150330官民協働危機管理クラウドシステム説明資料150330
官民協働危機管理クラウドシステム説明資料150330Tadashi Ise
 
①災害時における自治体の対応1410 02-1pptx
①災害時における自治体の対応1410 02-1pptx①災害時における自治体の対応1410 02-1pptx
①災害時における自治体の対応1410 02-1pptxTadashi Ise
 
官民協働危機管理クラウドシステム 説明資料141105
官民協働危機管理クラウドシステム 説明資料141105官民協働危機管理クラウドシステム 説明資料141105
官民協働危機管理クラウドシステム 説明資料141105Tadashi Ise
 

More from Tadashi Ise (12)

官民連携によるオルソ画像の共有(第3部 能登半島地震におけるドローン活用セミナー)
官民連携によるオルソ画像の共有(第3部 能登半島地震におけるドローン活用セミナー)官民連携によるオルソ画像の共有(第3部 能登半島地震におけるドローン活用セミナー)
官民連携によるオルソ画像の共有(第3部 能登半島地震におけるドローン活用セミナー)
 
【発表資料】実動機関の走行履歴の共有による道路状況の把握 - 令和6年能登半島地震への緊急対応より -
【発表資料】実動機関の走行履歴の共有による道路状況の把握 - 令和6年能登半島地震への緊急対応より -【発表資料】実動機関の走行履歴の共有による道路状況の把握 - 令和6年能登半島地震への緊急対応より -
【発表資料】実動機関の走行履歴の共有による道路状況の把握 - 令和6年能登半島地震への緊急対応より -
 
実動機関の情報共有、その効果と課題 NIED’s initial response to the 2024 Noto Peninsula Earthquake
実動機関の情報共有、その効果と課題 NIED’s initial response to the 2024 Noto Peninsula Earthquake実動機関の情報共有、その効果と課題 NIED’s initial response to the 2024 Noto Peninsula Earthquake
実動機関の情報共有、その効果と課題 NIED’s initial response to the 2024 Noto Peninsula Earthquake
 
NIED’s initial response to the 2024 Noto Peninsula Earthquake
NIED’s initial response to the 2024 Noto Peninsula EarthquakeNIED’s initial response to the 2024 Noto Peninsula Earthquake
NIED’s initial response to the 2024 Noto Peninsula Earthquake
 
Tadashi ISE Public hearing for Ph.D 180923
Tadashi ISE Public hearing for Ph.D 180923Tadashi ISE Public hearing for Ph.D 180923
Tadashi ISE Public hearing for Ph.D 180923
 
Generation from Information to Knowledge in Disaster Response - Based on info...
Generation from Information to Knowledge in Disaster Response- Based on info...Generation from Information to Knowledge in Disaster Response- Based on info...
Generation from Information to Knowledge in Disaster Response - Based on info...
 
説明資料 自治体フェア2016 160513
説明資料 自治体フェア2016 160513説明資料 自治体フェア2016 160513
説明資料 自治体フェア2016 160513
 
官民協働危機管理クラウドシステム説明資料160202
官民協働危機管理クラウドシステム説明資料160202官民協働危機管理クラウドシステム説明資料160202
官民協働危機管理クラウドシステム説明資料160202
 
2015日本災害情報学会発表151024
2015日本災害情報学会発表1510242015日本災害情報学会発表151024
2015日本災害情報学会発表151024
 
官民協働危機管理クラウドシステム説明資料150330
官民協働危機管理クラウドシステム説明資料150330官民協働危機管理クラウドシステム説明資料150330
官民協働危機管理クラウドシステム説明資料150330
 
①災害時における自治体の対応1410 02-1pptx
①災害時における自治体の対応1410 02-1pptx①災害時における自治体の対応1410 02-1pptx
①災害時における自治体の対応1410 02-1pptx
 
官民協働危機管理クラウドシステム 説明資料141105
官民協働危機管理クラウドシステム 説明資料141105官民協働危機管理クラウドシステム 説明資料141105
官民協働危機管理クラウドシステム 説明資料141105
 

Recently uploaded

Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Manik S Magar
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfAlex Barbosa Coqueiro
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfAddepto
 
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostZilliz
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...Fwdays
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024Stephanie Beckett
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxNavinnSomaal
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek SchlawackFwdays
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxhariprasad279825
 
My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024The Digital Insurer
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebUiPathCommunity
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Scott Keck-Warren
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationRidwan Fadjar
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Enterprise Knowledge
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Patryk Bandurski
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
Training state-of-the-art general text embedding
Training state-of-the-art general text embeddingTraining state-of-the-art general text embedding
Training state-of-the-art general text embeddingZilliz
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsMark Billinghurst
 

Recently uploaded (20)

Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdf
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdf
 
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptx
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptx
 
My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio Web
 
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptxE-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 Presentation
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
Training state-of-the-art general text embedding
Training state-of-the-art general text embeddingTraining state-of-the-art general text embedding
Training state-of-the-art general text embedding
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR Systems
 

An Introduction to Disaster Information Sharing System

  • 1. An Introduction to Disaster Information Sharing System Considering the Diversity of the Municipalities and its Possible Utilization in the Aftermath of 2015 Gorkha Earthquake Tadashi ISE (1 and Akhilesh Kumar Karna (2 1) Principal Research Fellow, Disaster Risk Unit, National Research Institute for Earth Science and Disaster Resilience (NIED), Japan 2) Freelance Engineer, Sunrise Cityhomes-B2, Anamnagar New Baneshwor, Kathmandu, Nepal 7th International Conference on Integrated Disaster Risk Management Isfahan, IRAN 1-3 October 2016 1
  • 2. Self-introduction • National Research Institute for Earth Science and Disaster Resilience (NIED), Japan – 1963 Established – For the management of the seismograph, mainly analysis and measurement of natural disasters • Our Team (Disaster Risk Unit) – In recent years, in order to improve the disaster prevention force, social science approach is necessary – Studying the utilization of disaster information • My research theme – Research and development of disaster information sharing system 2
  • 3. 2015 Gorkha Earthquake in Nepal • Date : 11:56 NST (local time) on 25 April, 2015 • magnitude : 7.8 (MW) • epicenter : the central part of NEPAL • At that time, disaster information how to share, how had been utilized We had the interviews to people of various positions 3
  • 4. 4 List of Interviewees *26-May JICA NEPAL, Tribhuvan University Institute of Engineering, National Society for Earthquake Technology-Nepal (NSET) *27-May Japanese resident, Nepal Electricity Authority, Nepal Electricity Authority Ratnapark Distribution Center, General public *28-May Victim in Tundekhel Shelter, World Vision (NPO) , Nepal Risk Reduction Consortium, Nepal Health Research Council (NHRC), Freelance Engineer, JAPANESE RED CROSS SOCIETY *29-May Grocery stores management in Charikot, Dolakha, Sindhu Sadabahar Hospital in Khadichaur, Sindhupalchok *30-May Nepal Electricity Authority, JICA Expert, Victim in Sankhu, NPO, Tibetan children’s Project *31-May Lalitpur Sub-Metropolitan City Office, Kathmandu Metropolitan City, Ministry of Home Affairs District Administration Office, JICA NEPAL *1-June Sagarmata Television Pvt. Ltd., Department of Water Induced Disaster Prevention, Priest of Bodanato., Japanese Mountaineer
  • 5. 5
  • 6. 6 Summary of Issues in Utilization of Disaster Info. • For information sharing among central governments, such as information linkage between the Nepal government and governmental institution of various countries, a mechanism to share information of damage and responding situations using the information sharing system called the CLUSTER SYSTEM is functioning with the support of the United Nations. • The CLUSTER SYSTEM, which was developed by OCHA, is a system that has been used in a number of countries and was effectively applied to handle the 2015 Gorkha Earthquake situation. • The interviewees of this survey including staff of the Nepal Health Research Council (NHRC), which is a research institute of MoHP; the JICA Nepal Office (Survey No. 26); and the National Society of Earthquake Technology (NSET), which is a major earthquake research institute in Nepal (Survey No. 2), said the CLUSTER SYSTEM was the main mechanism used to share disaster information. - What has been found from the interviews -
  • 7. 7 Summary of Issues in Utilization of Disaster Info. On the other hand…… • With the support of the United Nations, central governments of various countries are taking action, but due to the limited capability of local governments affected by the political situation, which has been unstable for a long time, support for disaster victims is not comprehensive enough. • Disaster information gathering from the disaster site to the district department level is mainly done by mobile phones • Reporting format of various disaster information is not prepared.
  • 8. 8 Approach toward Introduction of NIED Disaster Information Sharing System  NIED has long studied and developed a disaster information sharing system to support the smooth utilization of disaster information.  Based on Web-GIS for sharing geographical information indicating disaster situations and corresponding statuses on the Internet.  The visual organization and presentation of disaster information, including to neighboring municipalities as geographical information.
  • 9. 9 (2) Display procedures of each operation with menu buttons (3) Visually indicate items that should be entered (1) Tab format to classify operations of emergency disaster correspondence Figure : Image of two-layered tabs and menu buttons - Based on Web-GIS - Composed by Map & List view
  • 10. 10 Target municipality of this system Neighboring municipality Neighborin municipality Figure : Image of information sharing with neighboring autonomous communities
  • 11. 11 The effect of the NIED system  Since the situation of the neighboring municipality is visible, with cooperation, effective disaster response will be carried out.  The information that municipalities have input, it will be possible to integration in the district (higher level) government office immediately.  For example, Kathmandu City and Lalitpur City, District Office, by sharing each situation, we will be able to carry out effective response. This is the purpose of our research for disaster information sharing system.
  • 12. 12 Explanatory meeting Content Date Date: 1, Nov, 2015 From 10:00 to 11:00 Place Radisson Hotel in Kathmandu Participant Kathmandu City Lalitpur City Baktpur City Thimi City Baktpur District Development Committee
  • 13. 13 Hands-on Demonstration Content Date Date: 10, Jan, 2016 From 10:00 to 13:30 Place Radisson Hotel in Kathmandu Participant Kathmandu City, Lalitpur City Baktpur City, Thimi City Baktpur District Development Committee JICA-Nepal
  • 14. 14 An outline of participant responses to the demonstration  What is expected of the system: - All 11 respondents of the questionnaire survey felt that the system is highly effective for the local government. - From local governments to the central government, will be linked to ensure information sharing.  What should be conducted simultaneously with the introduction of this system: - Training in inputting information to the system and improving the skills of information collection and organization should be provided. - A system that can guarantee the reliability of information should be established.
  • 15. 15 Summary  There is no standardization on what information should be reported and in which form this information should be transmitted from the affected spots to district governments in the wake of a disaster, which forms a major bottleneck in the nationwide flow of disaster information.  In addition, NIED disaster information sharing system was introduced as a measure to overcome the problems faced by municipalities around Kathmandu, and a demonstration of this system was held.  From the demonstration, it is clear that the local government staff in Nepal has high expectations for this system.  In future, we will conduct a more detailed investigation on the effects of introducing this system, identify the problems that arise from this introduction, and develop countermeasures for these problems.
  • 16. 16 Thank you for your attention. It is appreciated in any questions or comments.
  • 17. 17
  • 18. Measures to communication disruption IDRiM 2016 in Isfahan, Iran 18 緊急代行サーバ 被災自治体 緊急代行サーバ DB 被災自治体 System DB System DB STOP Local Gov. Temporary server DB Affected Local Gov. Normal: The system & DB are working on Cloud. ① ② ③ ④ Disaster: Boot the PC as a server with a USB Bring back the latest data to the LAN ※ 電波の届くところまで移動し、ファイルとしてデータを格納 ※ 通信回復時に再同期
  • 19. Results of Interviews 1) Education before Disaster Occurrence  Through an initiative of the National Society for Earthquake Technology-Nepal (NSET) and other organizations, disaster prevention education is provided and the effect is partially observed.  However, among the general public of Nepal, hazard maps are not well recognized  and the level of understanding of the correct response to protect oneself at the time of an earthquake is low, so disaster prevention education cannot be said to be very effective. IDRiM 2016 in Isfahan, Iran 19
  • 20. Results of Interviews 2) Communication Environment after Disaster  In the central area of Kathmandu, some interviewees said that mobile phone communication was available for 20 minutes after the disaster in some areas.  Communications started becoming congested 30 minutes after the disaster and recovered about a half day later (5 to 6 hours).  However, even around Kathmandu Valley, it took about three weeks for the restoration of service in some areas.  Internet services in the central part of Kathmandu recovered in a few hours, and no significant damage was observed. However, use of smartphones or personal computers was restricted due to electricity outages. IDRiM 2016 in Isfahan, Iran 20
  • 21. Results of Interviews 3) Basic System of Response to Disaster  In the event of a large-scale disaster such as the 25 April earthquake, the Nepal Emergency Operation Center (NEOC) of the Ministry of Home Affairs is officially tasked with conducting overall risk management.  However, due to the unstable political situation that has pertained for a prolonged period, NEOC is not functioning effectively and thus disaster response is in fact carried out with the help of the United Nations and governmental institutions of countries providing aid. IDRiM 2016 in Isfahan, Iran 21
  • 22. Results of Interviews 4) Collection and Sharing of Knowledge Regarding Damage (among central governments)  Information sharing among central governments, such as between the Nepal government and governmental institutions of various countries, is conducted relying on the CLUSTER SYSTEM, which was developed through an UN-OCHA.  However, given the limited capability of the Nepal government, the actual operation is conducted by the United Nations.  The CLUSTER SYSTEM is used to summarize the activities of governmental departments, and the information on deaths and injuries collected from the hospital network overseen by the Ministry of Health and Population functioned relatively well. Having the national hospital as the Hub-Hospital, damage in respective regions are summarized and reported. IDRiM 2016 in Isfahan, Iran 22
  • 23. Results of Interviews 5) Collection and Sharing of Damage Information (among local governments)  Information sharing at the level of local governments between the site of a disaster and the central government is realized mainly via mobile phones.  ex) In Kathmandu City, 71 engineers are engaged in the task in 35 districts, in Lalitpur City, and 17 engineers engaged in the task for 30 districts to understand the damage to constructions. The information gathered by them is reported to their respective district administration offices. IDRiM 2016 in Isfahan, Iran 23
  • 24. Results of Interviews 6) Provision of Information to Disaster Victims  With the support of the United Nations, central governments of various countries are taking action, but due to the limited capability of local governments affected by the political situation, which has been unstable for a long time, support for disaster victims is not comprehensive enough.  The information provided by the government is inadequate and, for the psychological ease of residents, more information is need.  In the city of Kathmandu, a system was launched whereby ID cards are distributed to disaster victims to control distribution of supplies, etc. IDRiM 2016 in Isfahan, Iran 24
  • 25. Results of Interviews 7) Others  One of the largest characteristics of the damage caused by the 25 April earthquake is that many Nepalese people choose to sleep outdoors for more than a month as they were afraid of damage to buildings caused by aftershocks.  This generated anxieties over property loss and damage to health. IDRiM 2016 in Isfahan, Iran 25