(Group 1, Poster Board #32) Real-Time Early Warning for Cascading Hazards in the Himalayas

Track: B1. Empowering Resilience with Technology and Design
Background/Objectives

Nepal is one of the most disaster-prone countries in South Asia, owing to its turbulent geological and meteorological position. The peoples of Nepal have long been subject to recurring earthquakes, flooding, landslides, and a broad array of other hazard regimes, and many of these hazard regimes are growing more volatile due to the impacts of climate change. In the Himalayas, under certain conditions, these hazards combine to produce complex, cascading disasters that cause intense patterns of damage and losses within downstream communities and disrupt critical infrastructure. Human interventions, often in the form of new infrastructure projects, also can introduce new risk factors and patterns of vulnerability which may amplify the impacts of cascading disasters. Risk monitoring and EWS for specific kinds of disasters do exist throughout Nepal, but they are often limited in scope or focused on one region or a single hazard type. Other programs utilize approaches that are either too top-down or too bottom-up in orientation to achieve or sustain desired outcomes. As hazard regimes shift, new tools, modes of coordination, and interdisciplinary collaborations are needed to formulate scalable and sustainable EWS approaches. We aim to develop new systems that can augment and elaborate on existing systems while linking efforts across diverse sites and scales.

After a careful review of the state of the art for risk monitoring across a range of natural hazards, we have selected debris floods and extreme flow events as an initial lens for nationwide EWS in Nepal. Debris floods, like the 2021 Melamchi Disaster, are the result of cascading hazards with a high water content that tend to run-out across long distances causing extensive downstream damages. Predicting the likelihood and severity of debris floods and extreme flow events requires complex monitoring and assessment methods. Yet the complexity of contributing factors to debris floods offers the widest lens of features and conditions to observe, thus providing numerous opportunities for risk assessment and monitoring that might help to anticipate other kinds of potential hazards. Overall, our goal is to develop systems that can issue an effective prior warning and empower individuals at the state and community level to make the most informed and appropriate response to latent and emergent disaster risks. With this scoping study, we seek to gather our resources and sketch out the process by which we could collaborate with partners to create a useful toolkit for a nationwide EWS for debris floods and extreme flow events in Nepal. At all levels, we assert that it is critical to undertake a community-oriented approach: to consider the socialization of EWS tools and procedures, to engage the diverse communities they serve, and wherever possible to co-create the approach with local stakeholders. With these principles in mind, this report also outlines how we plan to build that toolkit in future phases of this project through a process of co-creation: working with partners at multiple scales including the Government of Nepal, other like-minded NGOs operating in Nepal with common interests and complementary skill sets, and communities and local institutions in disaster areas.

Approach/Activities
We have designed the ForeC tool, a platform that helps visualize and communicate risks about potential cascading hazards in the Himalayan region. Currently, the tool provides coverage over a pilot area of interest in three districts in Nepal: Rasuwa, Sindhupalchowk, and Dolakha districts. The platform is part of the broader Stimson center projet focused on developing tools to monitor for and provide early warning for cascading hazards and extreme flow events. This particular tool was developed with funding from the Start Network, working with People in Need and the Institute for Himalayan Risk Reduction.

The tool features a user-friendly and customizable web-dashboard that allows users to input satellite data, ground survey data, and other relevant information related to infrastructures and climatic conditions that are available in vector layer, raster layer or WMS layer form. The dashboard currently includes mapped geohazard features such as debris deposits, natural dams, glaciers, glacial lakes, deglaciated areas, slope debris, and valley-blocking dams using primary and secondary data sources. Layers can be updated as new data becomes available and we are actively mapping out new hazard layers/inventories within our team. This tool brings together near-real time data on antecedent conditions and weather forecasts. The ForeC tool’s potential lies in its ability to monitor select regions for signs of elevated cascading hazard risks based on a system which scores the potential for interactions between multiple hazards under certain scenarios and flow conditions in particular watersheds.
Results/Lessons Learned
The tool integrates data on hydropower infrastructure and some community-generated data from active hazards generated during the 2023 monsoon season (mostly landslides, produced working with our partner People in Need-Nepal). In future versions, we will include other layers on infrastructure, community exposure and vulnerability. Over the 2023 monsoon season pilot, no major cascading hazards were detected, although we did assist communities impacted by landslides with real-time analysis of landslides via tasking SAR satellites to detect landform change and reporting situational analyses to relevant authorities. These actions helped fine tune processes in the current version of the ForeC tool. In this coming year, we also plan to partner with other NGOs to increase the reach of the community-generated and crowdsourced data we are collecting and sharing. In general, we want to expand our focus beyond the initial area of interest to other select watersheds working through partnerships with organizations working in those locales.
We plan to integrate this analysis with higher resolution satellite-based imagery (SAR, optical, microwave, etc) to monitor for and detect landform changes as conditions change. We believe these tools, backstopped by monitoring services, can help inform planning and create early warnings (in some hazard chain scenarios) that will provide some lead time for local governments and stakeholders to take anticipatory actions, safeguarding at-risk communities.

Published in: 3rd Innovations in Climate Resilience Conference

Publisher: Battelle
Date of Conference: April 22-24, 2024