People-Centered Tsunami early Warning for the INdian coastlines (PCTWIN)
Lead Research Organisation:
UNIVERSITY COLLEGE LONDON
Department Name: Institute for Risk and Disaster Reductio
Abstract
The United Nations has called for every person on earth to be covered by warning systems. Tsunami events are responsible for greatest of losses compared to other more frequent hazards. The Indian coastlines, which are some of the most populated areas in the world, are prone to tsunamis generated from subduction zones such as Makran, the northern part of the Sunda trench and submarine landslides. The arrival time for these events could range between 15 minutes for the Andaman Nicobar Islands to 2-3 hours for the mainland. This is a time scale where effective warning and being prepared to act can save many lives. The Indian Tsunami Early Warning Centre (ITEWC) is an official tsunami service provider for 25 countries along the Indian Ocean Coasts. Through achieving improvements to the practical and operational capacities of ITEWC, grounded in local participation, PCTWIN takes concrete steps towards ensuring communities are more disaster resilient.
The objectives of PCTWIN are aligned with the pillars of people-centred early warning: improving disaster risk knowledge; improved detection, observation, and forecasting of tsunamis; more effective and more inclusive tsunami warning communication; increased preparedness.
Knowledge of the physics of tsunamigenic sources provides invaluable insights into the expected features and frequency of future large megathrust earthquakes. PCTWIN will use the GNSS stations in the Sumatra-Andaman region to tackle fundamental questions regarding post seismic deformation and strain accumulation 20 years after the great 2004 Sumatra Earthquake.
Non-seismic and atypical tsunami sources have been responsible for deadly, near-source, tsunamis that have left no time for the affected populations to safely evacuate. Examples are the 2018 Sulawesi and Sunda Strait Tsunamis. PCTWIN pushes boundaries of frontier research by comprehensive characterization of tsunamigenic submarine landslide sources. This will pave the way for tsunami forecasting to include the landslide sources.
There are several operational and technical challenges related to tsunami forecasting and early warning, such as high uncertainties in early source characterizations, gaps related to timely assimilation and post-processing of data, and effective communication of uncertainties. PCTWIN promotes a paradigm shift, from deterministic to probabilistic tsunami forecasting with flexible scenario building for the next generation of Indian tsunami early warning system. This entails co-design of communication of uncertainties in warnings and uncertainty reduction through real-time multi-channel data assimilation, especially through implementation of geodetic data for fast source characterization within 5 minutes. PCTWIN strives to forecast not only the hazard but also the impact, at different scales, from lower resolution national scale to higher resolution local scale at selected hotspots as pilot sites for the future.
For near-source tsunamis with short arrival times, preparedness and readiness to act can save many lives. Situational awareness and risk perception gaps, especially related to inclusion of vulnerable groups, are serious barriers towards community resilience to tsunamis. PCTWIN embraces inclusive, local, and participatory methods for increasing the preparedness of the communities at tsunami risk. This is facilitated by synergies with UNESCO initiatives in the Indian Ocean region such as the Tsunami Ready Recognition Program. PCTWIN complements the Tsunami ready preparedness indicators by introducing markers measuring the inclusivity of the tsunami response plans devised by the local communities and engagement of the private sector.
Striving to render tsunami readiness accessible to all communities at risk, PCTWIN will co-design and co-develop best practice guidelines for making communities tsunami ready and tsunami resilient.
The objectives of PCTWIN are aligned with the pillars of people-centred early warning: improving disaster risk knowledge; improved detection, observation, and forecasting of tsunamis; more effective and more inclusive tsunami warning communication; increased preparedness.
Knowledge of the physics of tsunamigenic sources provides invaluable insights into the expected features and frequency of future large megathrust earthquakes. PCTWIN will use the GNSS stations in the Sumatra-Andaman region to tackle fundamental questions regarding post seismic deformation and strain accumulation 20 years after the great 2004 Sumatra Earthquake.
Non-seismic and atypical tsunami sources have been responsible for deadly, near-source, tsunamis that have left no time for the affected populations to safely evacuate. Examples are the 2018 Sulawesi and Sunda Strait Tsunamis. PCTWIN pushes boundaries of frontier research by comprehensive characterization of tsunamigenic submarine landslide sources. This will pave the way for tsunami forecasting to include the landslide sources.
There are several operational and technical challenges related to tsunami forecasting and early warning, such as high uncertainties in early source characterizations, gaps related to timely assimilation and post-processing of data, and effective communication of uncertainties. PCTWIN promotes a paradigm shift, from deterministic to probabilistic tsunami forecasting with flexible scenario building for the next generation of Indian tsunami early warning system. This entails co-design of communication of uncertainties in warnings and uncertainty reduction through real-time multi-channel data assimilation, especially through implementation of geodetic data for fast source characterization within 5 minutes. PCTWIN strives to forecast not only the hazard but also the impact, at different scales, from lower resolution national scale to higher resolution local scale at selected hotspots as pilot sites for the future.
For near-source tsunamis with short arrival times, preparedness and readiness to act can save many lives. Situational awareness and risk perception gaps, especially related to inclusion of vulnerable groups, are serious barriers towards community resilience to tsunamis. PCTWIN embraces inclusive, local, and participatory methods for increasing the preparedness of the communities at tsunami risk. This is facilitated by synergies with UNESCO initiatives in the Indian Ocean region such as the Tsunami Ready Recognition Program. PCTWIN complements the Tsunami ready preparedness indicators by introducing markers measuring the inclusivity of the tsunami response plans devised by the local communities and engagement of the private sector.
Striving to render tsunami readiness accessible to all communities at risk, PCTWIN will co-design and co-develop best practice guidelines for making communities tsunami ready and tsunami resilient.
Organisations
- UNIVERSITY COLLEGE LONDON (Lead Research Organisation)
- Intergovernmental Oceanographic Commission of UNESCO (Collaboration)
- Helmholtz Association of German Research Centres (Collaboration)
- National Institute for Geophysics and Volcanology (INGV) (Collaboration)
- Government of Kerala (Collaboration)
- Earth Observatory of Singapore (Collaboration)
- University of Malaga (Collaboration)
- Indian Nat Ctr for Ocean Info Services (Project Partner)
- Helmholtz-Centre Potsdam (Project Partner)
- Earth Observatory of Singapore (Project Partner)
- OSDMA (Project Partner)
- KSDMA (Project Partner)
- UNESCO (Project Partner)
- Institute of Seismological Research (Project Partner)
- University of Malaga (Project Partner)
| Description | Horizon Europe Project DT-GEO |
| Amount | € 11,138,287 (EUR) |
| Funding ID | 101058129 |
| Organisation | European Commission |
| Sector | Public |
| Country | Belgium |
| Start | 08/2022 |
| End | 08/2025 |
| Description | Horizon Europe Project Geo-INQUIRE |
| Amount | € 13,923,475 (EUR) |
| Funding ID | 101058518 |
| Organisation | European Commission |
| Sector | Public |
| Country | Belgium |
| Start | 09/2022 |
| End | 09/2026 |
| Description | Collaboration and synergy with UNESCAP Projects 29 and 31 |
| Organisation | Helmholtz Association of German Research Centres |
| Department | German Research Centre for Geosciences |
| Country | Germany |
| Sector | Private |
| PI Contribution | As the project coordinator, I have been actively working to facilitate the links with the UNESCP Project 29 and 31 "Strengthening Tsunami Warning in the North-West Indian Ocean Through Regional Cooperation". These collaborations have been configured with partner GFZ (The Helmholtz Centre for Geoscience Research) who coordinates the Tasks related to Probabilistic Tsunami Hazard Analysis (PTHA) within UNESCAP Project 29. |
| Collaborator Contribution | PCTWIN is leveraging significant synergies with UNESCAP Projects 29 and 31. More specifically: 1-It is going to leverage the tsunamigenci seismic source modelling for the Makran Subduction zone developed in this project. 2-It is going to adopt the same workflow used in the Makran project for regional PTHA (i.e., the use of Gaussian unit sources). |
| Impact | This is a multi-disciplinary collaboration involving Geo-phsyics, Geo-dynamics, Seismology, and Hazard/Risk modelling. This collaboration is constributing to PCTWIN deliverables: seismic sources (D1.2, M27). regional PTHA (D1.4.1, M32). |
| Start Year | 2024 |
| Description | Collaboration with Earth Observatory of Singapore |
| Organisation | Earth Observatory of Singapore |
| Country | Singapore |
| Sector | Public |
| PI Contribution | Karen Lythgoe (the Co-PI from University of Edinburgh) is the contact point for this collaboration. She will be also the co-supervisor of a postdoctoral scholar from Earth Observatory of Singapore who will do research related to Long-term post seismic deformation of the Andaman-Sumatra Subduction Zone. |
| Collaborator Contribution | The Earth Observatory of Singapore (EOS), who have GNSS stations on Sumatra, will fund a co-supervised postdoctoral scholar on the study of the GNSS stations along the megathrust that ruptured in 2004. |
| Impact | This collaboration will contribute to Month 24 deliverable D1.1 Long-term post seismic deformation Andaman-Sumatra. |
| Start Year | 2024 |
| Description | Collaboration with Italian Institute of Geophsyics and Vulcanology (INGV) |
| Organisation | National Institute for Geophysics and Volcanology (INGV) |
| Country | Italy |
| Sector | Public |
| PI Contribution | The collaboration with INGV is geered towards configuration of the Probabilistic Tsunami Forecasting (PTF) in the context of PCTWIN Task T2.3 Probabilistic tsunami forecasting. Our colleagues in INCOIS and NGI will implement and expand the methodology of the Probabilistic Tsunami Forecasting (PTF) to the Indian region. |
| Collaborator Contribution | The PTF has been developed and tested by INGV researchers for the Mediterrenean coastlines. This collaboration aims to leverage the expertise of INGV colleagues in order to confirgure the PTF procedure for the Indian Coastlines. |
| Impact | This collaboration will contribute to Deliverable 2.3 PTF test and validation (Month 48) |
| Start Year | 2024 |
| Description | Collaboration with State of Kerala Disaster Management Authority (KSDMA) |
| Organisation | Government of Kerala |
| Country | India |
| Sector | Public |
| PI Contribution | The PCTWIN team, represented by our Indian Lead partner INCOIS is the bridge with the KSDMA in order to facilitate the participatory activities organised within PCTWIN's WP3 (Resilience Hub). In particular, the Tsunami Ready Pilot Villages in the State of Kerala have been chosen for as the pilot case-study locations for PCTWIN. Our INCOIS Colleagues are in direct contact with the KSDMA to identify the specific villages and to get in touch with the community representatives in this villages. |
| Collaborator Contribution | The KSDMA is going to facilitate PCTWIN's mixed method data collection for WP3 by identifying the pilot villages, and by helping the PCTWIN team liaise with the local community representatives in these villages. |
| Impact | The collaboration with KSDMA will contribute to deliverables: D3.1 Tsunami risk perception and readiness to respond (Month 48) D3.2 Inclusivity Markers (Month 45) D3.3 Private Sector Engagement (Month 42) D3.4 Tsunami Ready Toolkit (Month 48) |
| Start Year | 2024 |
| Description | Collaborations with the University of Malaga |
| Organisation | University of Malaga |
| Country | Spain |
| Sector | Academic/University |
| PI Contribution | As project coordinator, I have facilitated the connection with the colleagues in the University of Malaga in order to set-up the tsunami simulations. Our colleagues in INCOIS are going to interface with UMA colleagues in order to run tsunami simulations on HySEA Platform. |
| Collaborator Contribution | The PCTWIN team has actively liaised within the colleagues in University of Maalaga in order to use the Computing Facilities and to access the Tsunami Simulation Platform (HySEA). The HySEA platform is developed by our colleagues in the University of Malaga (EDANYA Group). In this past year, they have provided us with infromation necessary to set-up of the HySEA code for tsunami simulations necessary for probabilsitic tsunami hazard analysis (PTHA). |
| Impact | As mentioned, the collaboration will lead to the tsunami simulations necessary for deliverables of PCTWIN related to PTHA (D1.4.1 National-level PTHA and D1.4.2 Site-specfic PTHA, Month 32). |
| Start Year | 2024 |
| Description | UNESCO ICG/IOTWMS |
| Organisation | Intergovernmental Oceanographic Commission of UNESCO |
| Country | France |
| Sector | Public |
| PI Contribution | The UCL team is leading the WP3 of PCTWIN (Resilience Hub) where there is synergy and colalborations with the UNESCO IOT (The Indian Ocean Region ICG) working group WG-3 related to Tsunami Ready Implementation Regional Working Group for the North West Indian Ocean. My own research group is leading the probabilsitic tsunami risk assessment (PTRA) tasks within PCTWIN which has close links with UNESCO IOT (The Indian Ocean Region ICG)'s WG-1: Tsunami Risk, Community Awareness and Preparedness. |
| Collaborator Contribution | PCTWIN project has many synergies with the different working groups of the The Intergovernmental Oceanographic Commission of UNESCO (IOC/UNESCO). In particular the PCTWIN consortium has leveraged the synergies with the working groups of the Intergovernmental Coordination Group (ICG) of the Indian Ocean Tsunami Warning Management System (IOTWMS) and Indian Ocean Information and the Indian Ocean Tsunami Information Centre (IOTIC) to engage with Member States stakeholders, the general public, and at-risk communities in the two pilot areas of the project (provinces of Kerala and Odisha). These working groups are: WG-1: Tsunami Risk, Community Awareness and Preparedness (synergy with PCTWIN Work Packages 1 and 3) WG-2: Tsunami Detection, Warning and Dissemination (synergy with PCTWIN Work Package 2); WG-3: Tsunami Ready Implementation Regional Working Group for the North West Indian Ocean (synergy with PCTWIN WP3). |
| Impact | The main output of the project benefitting from this collaboration are (1) D3.2 The inclusivity KPIs (Month 45) and (2) D3.4 the Tsunami Ready Toolkit (Month 48). |
| Start Year | 2024 |
| Description | PCTWIN First Stakeholder Workshop |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Public/other audiences |
| Results and Impact | In this funding period, we have actively engaged with the Disaster Management Authorities of Kerala and Odisha in order to identify the villages used as case-study for PCTWIN. These contacts have culminated into two stakeholder workshops: The first one in end of May 2024 and the second one in early April 2025. However, here we report the first stakeholder workshop and will leave the second workshop for next year reporting. INCOIS hosted the PCTWIN project's First Stakeholder Workshop at INCOIS campus, Hyderabad (in hybrid mode) during May 28-30, 2024. This stakeholder workshop brought together more than 30 community representatives and disaster risk reduction practitioners from Tamil Nadu, Chennai, Gujarat, Kerala, Odisha, and the Andaman and Nicobar Islands, as well as representatives from the Ministry of Earth Sciences India and national and provincial offices of disaster risk management. We started the day with a comprehensive tour of INCOIS and its facilities, hosting the Indian Tsunami Early Warning Centre (ITEWC). This was followed by presentations on the Ocean Decade Tsunami Program (Srinivas Kumar, INCOIS), Tsunami Ready Recognition Program (Ardito Kodijat, ICG IOTWMS ITIC), Early Warning for All (Carina Fearnely, WRC UCL), The Global Tsunami Model (Finn Løvholt, NGI) followed by an overview of PCTWIN project by the project coordinator (Fatemeh Jalayer, UCL RDR). In the afternoon, we broke down into three smaller groups and discussed various issues related to tsunami risk perception, awareness, and preparedness along the Indian Coastlines. Here are some of the highlights of these sessions: different levels of tsunami risk perception along the coastlines of India based on past experience of tsunamis, different levels of institutional organisation for tsunami risk management across different coastal provinces, importance of taking into account the livelihoods of the local communities at risk, the possibilities for leveraging existing mechanisms for management and communication of coastal risks such as storm surges and cyclones, and the need for special attention to vulnerable locations such as low-lying lands and vulnerable groups such as children, elderly, people with disabilities, minorities, and women. |
| Year(s) Of Engagement Activity | 2024 |
