Achieving a Sustainable Disaster-Resilient World: at the 6^th Global Summit of Research Institutes for Disaster Risk Reduction (GADRI) this March, 189 Disaster Risk Reduction (DRR) academics and professionals from all over the world gathered at Kyoto University to establish global research networks, develop research roadmaps and plans, build the capacities of research institutes, share information, and engage in collaborative research.

The Role of Youth and Young Professionals in Disaster Risk Reduction

One of the most interesting sessions in the conference is to discuss the role of Youth and Young Professional (YYPs) in DRR. The prolonged worldwide pandemic, intensifying climate change impacts, and cascading risks have taught us that disaster risks should not be treated in silo. Thus, inter-generational collaboration involvement is needed to make substantial change for a more sustainable and resilient society. According to Sendai Framework for Disaster Risk Reduction 2015-2030, Youth are the agent of change and should be given the space and modalities to contribute to Disaster Risk Reduction for Legislation, National Practice, and Educational Curricula.

The panellists and participants discussed that YYPs have roles as data and knowledge producer, broker and synthesizer. First, data and knowledge producers devote themselves solely to capturing natural and social phenomena essential for understanding the landscape of disaster risk. Second, brokers provide challenging services to ensure stakeholders can access the most relevant disaster-related data and knowledge based on their needs. Third, synthesizers access and craft the available disaster-related data and knowledge by consolidating, combining, and providing meaning-making that could inspire or trigger societal changes, such as policy-making or implementation, program ideation, and capacity-building. The session showcases examples from Indonesia, Japan, India, and Colombia that exhibit each of the roles and explore challenges from diverse background including, but not limited to, earth scientists, social scientists, engineers, policy-makers, and emergency management professionals.

Lessons Learned from the Conference

In this conference, I was selected to present my master’s research in the poster session. My research was awarded a GADRI scholarship, which entitled for 15 best abstracts from young scientists and researchers. My research aims to build an Evacuation Decision Model of Flood-Affected People in South Kalimantan Indonesia, which investigates the significant variables behind why people evacuated in the 2021 South Kalimantan floods event. Some suggestions for improvement from the peers are (1) to conduct the same study in different characteristic areas in order to compare the outcomes and (2) to continue studying each significant variable and finding from the results.

Upon the keynote speech on the conference, Mami Mizutori, the Special Representative of the Secretary-General for Disaster Risk Reduction UNDRR, said that DRR policies at the local level are still not doing a good job. Many efforts are needed to strengthen disaster knowledge and awareness at the local level; thus, it can be a driving force for improving DRR policy and community resilience. As a young scientist, I plan to contribute to improving local DRR policies by handing in my master’s dissertation result to South Kalimantan government as it could be a beneficial input for them to enhance flood evacuation strategy.

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I would like to acknowledge UCL Institute for Risk and Disaster Reduction for funding my expenses to attend the 6^th Global Summit of GADRI, 15-17 March 2023 in Japan. I would like also to appreciate my supervisors Prof Joanna Faure Walker and my personal tutor Prof Patty Kostkova for their guidance on my master’s study.

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Khonsa was a Master’s student in UCL IRDR Year 2021/2022. She is now working as Research Assistant at UCL IRDR. Her research is mainly focus on Indonesia disaster, flood, tsunami, evacuation, early warning, and community development.

Get in touch: khonsa.zulfa.21@ucl.ac.uk or Linkedin

Aisha Aldosery

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Mosquitos are a fundamental part of testing the novel idea of my PhD, which focuses on developing intervention tools to support developing an early warning system to control the mosquito, thus, combatting mosquito-borne diseases. However, with the COVID-19 pandemic, it was quite hard to fly to Brazil, considered one of the Latin American countries that was hit hard by mosquito-borne disease and has a strong program for mosquito surveillance. Therefore, conducting my fieldwork in a different location was more feasible, such as the Portuguese island of Madeira, located in the northeastern Atlantic Ocean, 900 km from mainland Portugal. A volcanic and subtropical island which seems like a perfect location for mosquitoes, it introduced an efficient program in 2005 focusing on mosquito surveillance. Four field trips have been conducted since November 2021 with Patty Kostkova, my primary supervisor, to achieve my project’s overarching goal. We worked together in designing and presenting several workshops on Madeira mobile app surveillance with the local environmental agents, as well as deploying several devices in the fields for environmental monitoring.

Trip One – Mosquito Ovitrap IOT-based System pilot system.

This trip was the first to Madeira after the COVID-19 pandemic; the trip was in late October 2021 and lasted for about three weeks. The main objectives of my first fieldwork trip (three weeks) were to establish a new collaboration with people from ITI / LARSyS, introduce and discuss my PhD idea with the team, and lastly, build a prototype version of the proposed system. Although the trip was considered short, we achieved a significant project milestone. During this trip, we started by calibrating the water sensors, building the IoT-based unit and deploying the prototype version of the MOISS system to understand how various weather and water parameters influence mosquito breeding and habitat favouring. The first version of the system has been deployed and running since November 2021 at the Natural History Museum of Funchal on Madeira Island. All timely data collected in the field by the sensors, such as the air temperature, humidity, pressure, water temperature, pH, DO, and conductivity, will be used along with the entomological data collected by the environmental agents to design and build a model to provide us with a better understanding of the mosquito’s development and presence.

Trip Two – Introducing Madeira Mosquito Surveillance App 

This trip was mainly about the project’s second component, which is about designing a mosquito surveillance app based on the local settings to be adopted by the environmental agents during their routine visits to the mosquito traps. To achieve that, establishing another collaboration with the local health sector is essential. The trip includes a couple of meetings and a workshop:

• Meetings with Dr Bruna Ornelas de Gouveia, Regional Directorate of Health in Madeira Island, to discuss and design the collaboration protocol with the UCL IRDR Centre for Digital Public Health in Emergencies (dPHE). The collaboration entitles us to pilot our app on the island and gives us access to historical mosquito density data.
• Meeting with the technical and GIS team, who showed us the mosquito data, hotspot maps and the effective strategies adopted by the local government to control mosquitoes across the island (https://www.iasaude.pt/Mosquito/ ).
• We ran the first workshop with the environmental agents to introduce the idea of the surveillance app and how it could positively affect their work. During this workshop, we presented some showcases from our Brazilian project (Belmont) and a prototype of the Madeira app. The agents demonstrated different scenarios that could happen on the ground and what actions needed to be considered in each scenario. Finally, we had an interactive session, a very productive session that helped us understand the local settings in different conditions.

Trip Three – Mosquito Ovitrap IOT-based System (MOISS) Large Deployment.

The third fieldwork was the most significant and challenging trip as many milestones needed to be completed, including the IoT-based system units implementation and deployment, along with a lot of logical preparation. Yet, it was one of the most exciting trips to see the theories and paper design coming true. This trip was from July to the beginning of August 2022 (four weeks). The focus of this trip was the MOISS system. During this trip, we calibrated and tested 60 water sensors in a week period, which required specific weather conditions. Then, two engineers from ITI / LARSyS and I assembled 17 system units in a week, including the testing and debugging of each unit. The conducted lab testing was quite challenging, resulting in several issues, including problems with the manufactured IoT shield, slow network connections, power, etc. We ended up with 13 devices deployed across the capital of the Island, Funchal. The decision about how many devices and where to deploy them was collaborative work with environmental agents and the technical team to select suitable study sites based on several criteria, including technical, logistic and mosquito data. The locations include schools, hospitals, one university, the port, and a private building.

Trip Four – Madeira Mosquito Surveillance App Piloting Workshop

The last trip of this year (September 2022) was a four-day trip for Madeira. The main objective of this trip was to run a three-hour workshop with the environmental agents to show them the first completed developed version of the app, which is designed and implemented based on the requirements collected in the first workshop (second trip). Patty and I gave the agents technical support to install, operate and test the app for about two hours. After that, we had a one-hour interactive session to collect their inputs, which will help us improve the app and develop another sufficient version. The agents were delighted with the mosquito surveillance app and were excited about the next phase, piloting the app for several months.

During this trip, the project gained the attention and interest of local Madeira TV, which was there during the workshop and interviewed Prof Patty Kostkova.

We are currently looking for funding to develop and deploy the mosquito surveillance mobile app and collect data on a large scale. Finally, although each trip had its challenge, some went differently than we had planned and expected. I have learned much beyond my research scope and gained knowledge on project management and building collaboration. Many thanks to Patty for accompanying me in each project phase and trip to support me in moving the project forward. We had a great time enjoying the weather, and more significantly, we managed to deploy our IoT system and pilot the surveillance app.

Acknowledgements

Trip one was fully funded by the UCL Institution of Risk and Disaster Reduction (IRDR); trip two was fully funded by UCL Mathematical and Physical Science Faculty, PhD Students Travel Grant; trip three was mainly funded by the  UCL IRDR Centre for Digital Public Health in Emergencies (dPHE) and partially by the UCL Institution of Risk and Disaster Reduction (IRDR); trip four was fully funded by my PhD sponsor, King Abdulaziz City for Science and Technology, Saudi Arabia.

A big thanks and appreciation to our IRDR Finance team for their significant support which played a crucial role in helping me while preparing my PhD project. Special thanks to Matthew Lee for his outstanding support in managing equipment quotes and dealing with orders.

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Aisha Aldosery is currently a doctoral candidate at the UCL IRDR Centre for Digital Public Health in Emergencies at University College London. She is also a researcher at King Abdulaziz City for Science and Technology (KACST), Riyadh, Saudi Arabia. She earned her master’s degree in Software System Engineering from UCL. Her broad research areas are software engineering and the Applied Internet of Things. She is particularly interested in designing and developing digital health intervention tools such as surveillance and early warning systems. She is also interested in designing environmental IoT-based sensor devices and analysing sensor data using machine learning methodologies. The focus of Aisha’s PhD research project is investigating mobile apps, the Internet of Things (IoT) and sensing technologies for predicting mosquito populations to combat vector-borne diseases – a pertinent global issue with global research significance.

As a trans-disciplinary department, the Institute for Risk and Disaster Reduction (IRDR) fosters disaster-risk research from a variety of perspectives and experience. From previous and ongoing crises to future perils, work done by our staff and students is positioned to respond to the increasing necessity for disaster research imposed by unrelenting exposure to hazards and vulnerabilities. Students attending IRDR learn about these complex interactions and develop the skills needed to assess the many dimensions of disaster. This article presents a short collection of research projects conducted by some of our master’s students.

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Evacuation Decision Model of Flood-Affected People in South Kalimantan, Indonesia

Flood is the most prominent hazard in South Kalimantan Province, Indonesia. On January 2021, South Kalimantan suffered from the most severe flood in the last 60 years, which inundated 10 out of 13 regencies/cities in the province. Moreover, the event generated over 100 thousand dollars of economic losses, nearly 80 thousand people affected, and 21 death tolls. As for December 2021, floods hit the province again and impacted several regions. To save more lives in future events, evacuation for people at risk is an important action in the emergency phase. However, evacuation decision-making involves complex variables such as sociodemographic conditions, capacity, risk, as well as warning systems. Therefore, this study aims to identify the significant variables that influence people’s evacuation decision.

This study will focus on two districts, one in Tabuk River District (rural area) and another one in West Banjarmasin District (urban area). The two regions were severely flooded in January and December 2021. Tabuk River District is frequently flooded due to fluvial (river) flooding, while West Banjarmasin District is frequently flooded due to tidal flooding. My data collection method will distribute questionnaires to people in the flood-affected area and data analysis will be conducted using a binomial regression model.

Khonsa Zulfa | khonsa.zulfa.21@ucl.ac.uk

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Copula theory with applications to assess flood risk in the Calgary region, Canada

As a geologist, I have always been intrigued by the occurrence of extreme natural phenomena. For that reason I chose for my dissertation project the study area of Canada, and more specifically the region of South Alberta, in Calgary. Canada is a flood prone country, which has faced extreme floods over the years; however, the 2013 flood in southern Alberta was one of the costliest disasters in Canadian history. That being the case, I was really interested in identifying and estimating the potential flood risk in this particular region with the use of the copula theory, which is a statistical method that allows us to consider a number of factors related to flood risk, and then provide the right mitigation measures to tackle this hazard. In that way, we could understand the probability that a flood event of a particular intensity will occur over an extended period, and thus, make the right decisions to protect the general public from an imminent disaster—having always in mind that prevention is better than cure.

Kleoniki Theodoridou | kleoniki.theodoridou.20@alumni.ucl.ac.uk

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Agent-Based Tsunami Evacuation Model for Tsunami Risk Assessment in Tanjung Benoa, Bali, Indonesia.

Bali, a world-famous tourist area, is one of Indonesia’s islands prone to megathrust earthquake-generated tsunamis with magnitudes up to M9.0 due to its location on the subduction zone between Eurasia and the Australia plate. Therefore, understanding risk and the ability to evacuate during tsunami is critical and essential to reducing the risk, which is mostly influenced by people-behaviour in decision-making. This study aims to model the tsunami evacuation to analyze the tsunami risk, including casualty estimation and shelter analysis in Tanjung Benoa village, Bali, Indonesia. This study includes tsunami hazard modelling using COMCOT v1.7 software, people-behaviour surveys about tsunami evacuation through questionnaires, and modelling the tsunami evacuation using agent-based model in NetLogo software. The tsunami model shows that the estimated arrival time ranges from 15-20 minutes with 15 meters of maximum tsunami height. Of 300 respondents, the majority (87.7%) will choose to evacuate by foot and the rest (12.3%) by vehicle, with the departure time 5 minutes after the shaking, resulting tsunami evacuation model with a casualty estimation of up to 22.2%. Improving the tsunami preparedness strategies is essential for the stakeholders—especially adding more vertical tsunami shelters, as this study also found that the capacity of the current shelters in Tanjung Benoa is still less than 50% of the total population.

Giovanni Cynthia Pradipta | giovanni.pradipta.21@ucl.ac.uk

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How far do India’s Disaster Risk Reduction policies consider the sustainable livelihood needs of tribal women: A case of Keonjhar District, Odisha

In this study, I evaluated whether disaster risk reduction (DRR) policies reduce tribal women’s vulnerability and offer sustainable livelihood options. Moreover, I proposed ways to improve the effectiveness of these policies by identifying their shortcomings. Using a gender lens and Sendai Framework, this study contributes to the literature on the convergence of DRR with the Sustainable Development Goals in the context of the marginalized group of tribal women. Presently we don’t find any DRR policy explicitly addressing this issue of tribal women. Though different Central and State programs for reducing the overall vulnerability of women are in progress. The government is taking a variety of measures and gender-inclusive disaster governance is gradually gaining ground.

Swati Sharma | swati.sharma.21@ucl.ac.uk

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The IRDR Master’s Programmes facilitate research in a wide variety of topics.

Thank you to our student contributors,

Joshua Anthony, Editor of IRDR blog.

Joshua.anthony.19@ucl.ac.uk | Please get in contact if you would like to contribute to this blog.

 

The ongoing Russian-Ukraine war has triggered a string of economic sanctions against Russia, apparently intended to bring an end to the conflict. Let us understand the background and ramifications of sanctions.

Sanctions, in general, are a set of penal actions taken against an entity or entities, that could be adopted by courts, nations, or international bodies. Chapter VII of the UN Charter, through Article 41, also provides for non-military enforcement measures.

Ideally, preventing conflicts and enhancing international peace and security are considered a few of the prime objectives of sanctions. However, sanctions have also often been seen as political tools for settling diplomatic scores or achieving other desirable results, making their efficiency as a non-violent, diplomatic conflict resolution tool questionable.

In contrast, economic, humanitarian, and commercial sanctions typically worked better than any combination—Iran, 1979; Iraq, 1990; Haiti, 1991; and Yugoslavia, 1992, to name a few.

There are also instances aplenty when sanctions failed to accomplish their goal. In 2014, UN, EU, and US sanctions were imposed on Russia when it invaded Crimea, but still a war erupted in Ukraine. Despite UN sanctions, the Taliban strengthened and seized control of Afghanistan. Additionally, Iran, North Korea, and Cuba have all defied sanctions. Moreover, sanctions can risk spurring conflict, as in Rwanda, 1990, and Nicaragua, 1970.

In today’s age of globalisation, sanctions have become a double-edged sword. To impose effective sanctions, one must necessarily: (a) diagnose the causes of conflicts accurately; (b) design sanctions such that they decisively alter the balance of power, and (c) ensure political will among those imposing sanctions to sustain them. For, with the lapse of time, their—those sanctioning—will can be eroded, or new diplomatic factors may emerge. Therefore, it is time to reconsider the efficacy of sanctions as such and explore whether sanctions need to be supplemented by other measures to resolve conflict and reduce the risk of war.

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Swati Sharma is a veteran of the Indian Army, and after successful completion of her tenure, joined the Rajasthan Home Guards Services. While she served as the Commandant, she got selected as a Chevening Scholar 2021-22. Presently, she is currently pursuing her Master’s in Risk, Disaster and Resilience at IRDR, UCL. 

Contact

swati.sharma.21@ucl.ac.uk | Twitter: @captswatis

www.linkedin.com/in/capt-swati-sharma-retd-6b69b0132

Author: Savin Bansal

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The cataclysmic ‘Kedarnath tragedy’ of June 2013, triggered by overwhelming flash-floods and landslides in Uttarakhand, the Greater Himalayan State of India, instigated losses worth US$ 1billion, mortality at a gory high of 5000 and led to an equal number still being reported as missing. The destruction of critical infrastructure left several lakhs of pilgrims and tourists stranded for several weeks together.

The region has been long fraught with frequent, severe and uncertain onslaught of geophysical and hydrometeorological hazards, is seismically dynamic, afflicted with climatic extremes and is witness to the growing human-environment interactions. Though the moderate magnitude events probably have become a reality in the region, the 2013 hydrometeorological extreme remains unique in terms of the historic trends and exceedance probability.

The monsoon in June 2013 arrived almost two weeks earlier than expected. The torrential cloudbursts and massive Glacial Lake Outburst Floods (GLOF) resulted in a sudden swelling of the Mandakini, Alakananda, Bhagirathi and Kali river basins. Being a renowned pilgrimage and eco-tourism circuit in India, the region saw the disaster coinciding with the peak congregation, affecting more than 900,000 lives and precipitating grave infrastructure failure in just over three days. The towns of Kedarnath, Rambara and Gaurikund dotted along the Mandakini valley bore the maximum brunt.

The aftermath rendered the key public assets and critical infrastructure dysfunctional, and the exigent business processes compromised. The ravaged quintessential schools-hospitals, buckled highways and bridges, wrecked civic service delivery systems, snapped telecommunication networks, and incapacitated fire and emergency operation services only amplified the atrocious impacts. This not only compromised the relief-rescue operations but severely subdued the coping capacity of the community.

Chinks in the Armour

Many victims had misled themselves to cascading floods and landslips, several children and elderly to trauma and injuries, with others succumbing to lost will and hope. The disquieting spectacle of vanished settlements, frenzied victims and bewildered response put up a horrendous spectacle to behold. In retrospect, the delayed response and resource sub-optimization are attributed to the iniquitously deficient Risk Management framework detailed as:

Imperception of the significance the resilience holds for critical infrastructural systems:

The colossal impact was strikingly disproportionate to the infrastructure resilience levels, adaptation and coping capacities of the communities. Ironically, it took a catastrophe of such a stupendous magnitude to realise the growing reliance of society upon interconnected functional nodes and closely coupled systems. The setbacks on such systems empowered vulnerabilities to generate escalation points that spawned devastating cascades further to propagate through socio-economic systems.

Information asymmetry and risk communication deficit:

The small-scale pre-disaster (preparedness phase) knowledge sharing and generalized oblivion about risk perception and assessment among the emergency response agencies, media, volunteers, and local inhabitants denied the potential victims an opportunity to take informed decisions to protect themselves.

Inconsiderate of known-knowns:

Lack of preparedness, scenario planning, functional disaster management and resilience plans, decentralized resource inventories and inept Emergency Operation Centres accentuated the vulnerability and limited the Hazard risk-vulnerability-analysis (HRVA) capability. The underdeveloped forecasting and early warning systems subdued the evacuation mechanisms and alert protocols further.

Benighted and at odds with the idea of inter-agency coordination and collaboration:

The existence of multiple information flowlines and command structures only rendered the response entities confounded and aid agencies disoriented. It proliferated the unverifiable inputs and compromised priority sequencing. The squandering of initial golden hours of search-rescue owed itself substantially to this fallacy.

Joint Rapid Damage and Needs Assessment

The multi-sectoral damage and needs assessment carried out by the Government in collaboration with the multilateral development institutions (the World Bank and Asian Development Bank) laid the framework for stimulating major policy shift to proactive risk management besides sustainable recovery and reconstruction.

Massive investment mix in the form of IDA (International Development Assistance) and federal assistance were deployed for Risk Reduction Investments in (i) multi-hazard resilient assets such as strategic roads and bridges, public schools, and hospitals, (ii) augmenting emergency response capacities through provisioning of modern search-rescue equipment and training, (iii) bolstering hydro-meteorological network and Early Warning Systems (EWS), (iv) establishment of a risk assessment-modelling framework and a geospatial decision support system, (v) and institutionalising the Uttarakhand State Disaster Management Authority (USDMA) to operate and function in conformance with the Sendai Framework for Disaster Risk Reduction (2015-30). 

Lessons Learned

Eventually, taking the event in its stride, the State has literally risen from the ashes by drawing on the lessons learned in its wake. The pace of recovery and policy instruments deployed have been exemplary. The Risk Management framework developed is espoused as a best-practice model and now serves as a blueprint for other state entities and the neighbouring Himalayan nations.

Being at the core of economy, critical infrastructure was duly recognised as the central factor in enabling labour productivity, redistributive justice and serving our most basic needs to assuring a decent quality of life. Any disruptions therein are a drag on economies that disconcert communities through denting households’ consumption, well-being, and the productivity.

Hence, the formal mechanisms to appraise the cost-benefit ratio of ex-ante policy measures do exist now insomuch as critical asset resilience is concerned. This assumes substance in the context of minimizing the recurrent disruptive shocks on infrastructure and livelihoods, and averting the prohibitively high ex-post reconstruction cost. A pre-emptive investment in more resilient infrastructure is clearly a cost-effective and robust choice, the net result of which is a $4 in benefit for each dollar invested in resilience.

Furthermore, the policy commitments for increased resource allocation towards disaster-climate risk mitigation, reinforced multi-hazard Early Warning Systems, fully equipped District Emergency Operation centres and risk informed development planning are a reality of the day.

In addition, Incident Response System (IRS), a structured framework that enhances interoperability and behaviour coordination under multi-layered team settings is integrated well into the Emergency Response model of the State. It has proved to be critical in stimulating calibrated response to critical events all this while by bringing the disparate units together to share resources, authority and knowledge.

Conclusion

Overall, every time such low probability tail events fleet past us, they never fail to encourage adopting a paradigm shift in the ways we perceive, respond and live through the hazards. Parting ways with the reactive emergency response regime shall require mainstreaming the Disaster-Risk Reduction into development plans, policy and investments. The bottom line is that the victims endangered by life threatening exigencies don’t deserve such gratuitous procrastination and inefficiencies.

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Savin Bansal is an Indian civil servant (Indian Administrative Service) and presently pursuing a Master’s degree in Risk, Disaster and Resilience at IRDR, University College London. Serving the Government of Uttarakhand, India, as an administrator and public policy practitioner, he has an extensive experience in Disaster-Climate risk management domain as a decision-maker and leading multilateral development projects.

Contribute to the discussion: savin.bansal.21@ucl.ac.uk

Disclaimer: The views and perceptions expressed are in personal capacity and can’t in anyway be construed as that of the Government of Uttarakhand, Government of India or the University College London.

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