What is the Flood Resilience Measurement for Communities?
The FRMC approach holistically measures a set of “sources of resilience” before a flood happens (e.g. household savings or whether a community has a flood recovery plan) and looks at the post-flood impacts afterwards (e.g. level of loss and recovery time). The FRMC framework is built around the notion of five types of capital (the 5Cs: human, social, physical, natural, and financial capital) and the 4Rs of a resilient system (robustness, redundancy, resourcefulness, and rapidity). The data is collected and assessed via an integrated and hybrid platform. Each source of resilience is graded from A to D (best practice to significant below good standard) providing communities and decision-makers with an overview of the level of resilience capacity.
What did we learn from this large-scale analysis of community flood resilience?
Human and physical capital had the most sources assigned an A or B grade. The highest rated sources are education (value and equity), flood exposure perception, knowledge and awareness, communication, water, personal safety as well as health and sanitation. This could be a result of flood mitigation interventions traditionally being focused on building people’s skills and knowledge and/or physical structures.
Overview of frequency of grades for the sources of resilience by capital. Note: Number in bracket of capitals indicates the number sources in that capital. (Source: Campbell et al., 2019)
Despite the source-specific guidance and standardized data, grading is largely a judgment-based process and the FRMC includes a box where the assessor indicates how confident they are in the assigned grade. Since the trained assessors are practitioners with local understanding of the community the grades are influenced by their field expertise. The assessors were generally confident in the assigned grades and we found that their confidence increased the more data collection methods that were used.
Linking flood resilience and community characteristics
The FRMC was used in a range of different communities in developing and developed countries in contexts ranging from urban to rural and with some difference in past experience of flooding.
We discovered a correlation between poverty and lack of flood resilience and also found that having experienced very severe floods reduced a community’s level of resilience while experiencing frequent but less severe floods could help contribute to resilience, potentially by providing communities with relevant experience to adapt.
Does the FRMC process result in different interventions?
A key question we asked is whether the process of carrying out the baseline measurement and sharing results with the community resulted in interventions that were substantially different from what would have been implemented anyway. We find that it did, though to somewhat varying degrees.
Country teams overwhelmingly reported that the process helped them, their stakeholders, and communities to see flood resilience in a much more holistic way. For example, by broadening the perspective of flood resilience beyond that of physical infrastructure to also include social capital. The FRMC process influenced the implementation of a wide range of interventions, showing the breadth of the underlying conceptualization of resilience. The purpose of the FRMC approach is to help communities holistically strengthen their resilience and the broad range of interventions shows that this has worked.
Many country programs revised their project plans, log-frames and budgets as a result of the baseline measurement. Program staff highlighted how welcome it would be if other funders followed Zurich’s lead and allowed for similar in-depth analysis prior to intervention design and flexibility to act on the learning coming out of it to ensure the most effective intervention design.
What’s next for the FRMC?
This testing and data analysis has fed into the revision process for the development of the Next Generation FRMC which is currently being scaled to many more communities.
As the tool and measurement gets used in more communities and as part of more decision-making processes for flood resilient investments, we hope the usefulness and relevance of the tool will be demonstrated and adopted by many more organizations working to build community flood resilience.
Campbell KA, Laurien F, Czajkowski J, Keating A, Hochrainer-Stigler S, & Montgomery M (2019). First insights from the Flood Resilience Measurement Tool: A large-scale community flood resilience analysis.International Journal of Disaster Risk Reduction 40: e101257. DOI:10.1016/j.ijdrr.2019.101257. http://pure.iiasa.ac.at/id/eprint/16027/
By Marlene Palka, research assistant in the IIASA Risk and Resilience Program
Marlene Palka discusses the work done by the IIASA FARM project, which has been investigating drought risk management in Austria for the past three years.
Future climate projections forecast an increase in both the frequency and severity of droughts, with the agricultural sector in particular being vulnerable to such extreme weather events. In contrast to most other climatic extremes, droughts can hit larger regions and often for extended periods – up to several months or even years. Like many other countries, Austria has been and is expected to be increasingly affected, making it necessary to devise a management strategy to mitigate drought damages and tackle related problems. The FARM project – a three year project financed by the Austrian Climate Research Program and run by the IIASA Risk and Resilience and Ecosystems Services and Management programs – kicked off in 2017 and has been investigating agricultural drought risk management both in a broad European context, and more specifically in Austria.
Austria represents a good case study for agricultural drought risk management. Despite the agricultural sector’s rather small contribution to the country’s economic performance, it still has value and represents an important part of the country’s historical and cultural tradition. Around 80% of Austria’s total land area is used for agricultural and forestry activities. Equally important is its contribution to the preservation of landscapes, which is invaluable for many other sectors including tourism.
Globally, agricultural insurance is a widely used risk management instrument that is often heavily subsidized. Apart from the fact that the concept is increasingly being supported by European policymakers – the intention being that insurance should play a more prominent role in managing agricultural production risk – more and more voices from other sectors are calling for holistic management approaches in agriculture with the overall aim of increasing the resilience of the system.
There is a well-established mutual agricultural insurance company in Austria, which has high insurance penetration rates of up to 75% for arable land, and comparably high subsidies of up to 55% of insurance premiums. It is also encouraging to note that recent policy decisions support the timeliness of drought risk: in 2013, the Austrian government paid EUR 36 million in drought compensation to grassland farmers and in 2016, premium subsidies of 50% were expanded to other insurance products, including drought, while ad-hoc compensation due to drought was officially eliminated. In 2018, the subsidy rate was further increased to 55%. In light of these prospects, we investigated the management option space of the Austrian agricultural sector as part of the FARM project.
The 2018 Organisation for Economic Co-operation and Development (OECD) report on monitoring and evaluation of agricultural policies claims that efficient (drought) risk management in agriculture must consider the interactions and trade-offs between different on-farm measures, activities of the private sector, and government policies. The report further argues that holistic approaches on all management levels will be vital to the success of any agricultural management strategy.
In the course of our work, we found that agricultural drought risk management in Austria lacks decision making across levels. Although there is a range of drought management measures available at different levels, cooperation that includes farms, public and private businesses, and policy institutions is often missing. In addition, measures to primarily and exclusively deal with drought, such as insurance and irrigation, are not only limited, but (as we found) are also less frequently implemented.
As far as insurance is concerned, products are still being developed, and penetration rates are currently low. Drought risk is also highly uncertain, making it almost impossible to offer extensive drought insurance products. Irrigation is perceived as the most obvious drought management measure among non-agronomists. Simply increasing irrigation to deal with the consequences of drought could however lead to increased water demand at times when water is already in short supply, while also incurring tremendous financial and labor costs and additional stress to farmers. With that said, a large number of agricultural practices may also holistically prevent, cope with, or mitigate droughts. For example, reduced soil management practices are low in operating costs and prevent surface run-off, while simultaneously maintaining a soil structure that facilitates increased water holding capacity. Market futures might also stabilize farm income and therefore allow for future planning such as the purchase of irrigation equipment.
A workshop we held with experts from the Austrian agricultural sector further highlighted this gap. Thinking (not even yet acting) beyond the personal field of action was rare. The results of a survey we conducted showed that farmers were experiencing feelings of helplessness regarding their ability to manage the negative effects of droughts and other climatic extremes despite the implementation of a broad range of management solutions. One way to explain this could be a lack of cooperation across different management levels, meaning that existing efforts – although elaborate and well-proven – potentially reach their limit of effectiveness sooner rather than later.
Due to the more complex effects of any indirect/holistic drought management measure, we need tailored policies that take potential interdependencies and trade-offs into account. With evidence from the FARM project, my colleagues and I would like to emphasize an integrated risk management approach, not only at farm level but also in all relevant agencies of the agricultural sector in an economy. This will help to secure future production and minimize the need for additional public financial resources. Our findings not only contribute to ongoing high-level discussions, but also underpin the resulting claim for more holistic (drought) risk management with bottom-up data from our stakeholder work.
Note: This article gives the views of the author, and not the position of the Nexus blog, nor of the International Institute for Applied Systems Analysis.
By Luiza Toledo, IIASA Science Communication Fellow 2019
2019 YSSP participant Regina Buono investigates how the law can support or impede the use of nature-based solutions and help facilitate adaptation to climate change.
Recognizing the need for a systemic change is the first step to overcoming environmental challenges like climate change. In theory, governance systems can be designed and arranged to facilitate and embrace adaptation to climate change. Developing a legal framework that supports such an adaptation is, however, a big challenge. Learning how to manage the environmental crisis we currently find ourselves in while still being able to grow economically further complicates matters. According to Regina Buono, a participant in this year’s IIASA Young Scientist Summer Program (YSSP), nature-based solutions could be an alternative option that offers a multitude of benefits in terms of how this dual goal of economic growth and sustainability can be achieved. Buono’s research will contribute to IIASA as a partner in the EU Horizon 2020 project, PHUSICOS, which is demonstrating how nature-based solutions can reduce the risk of extreme weather events in rural mountain landscapes.
Nature-based solutions are actions to protect, manage, or restore natural ecosystems that address societal challenges, such as water security, pollution, or natural disasters – sometimes simultaneously. These solutions take advantage of the system processes found in nature – such as the water regulation function of wetlands, the allowance of natural space in floodplains to buffer flooding impacts, water storage in recharged aquifers, or carbon storage in prairies – to tackle environmental problems. This concept is now widely used to reframe policy debates on biodiversity conservation, climate change adaptation and mitigation strategies, urban resilience, as well as the sustainable use of natural resources.
As part of her research, Buono is exploring how the law can support or impede the use of nature-based solutions and considering how we can make legal systems more adaptive so they can help facilitate societal adaptation to a more uncertain world under ongoing and future climate change.
“My research is about using the law as a tool that works for us, rather than one that, because of its historic interest in stability, gets in the way,” she says.
Buono started her career as a lawyer based in the US. In her first job she was assigned to work with water issues and according to her, it was “love at first sight”. Following that first assignment, she continued to work on finding market-based solutions for issues related to endangered species. She decided to pursue a PhD in public policy in 2016, and soon after was asked to join the external advisory board to the Nature Insurance Value: Assessment and Demonstration (NAIAD) project in Europe. While attending the first meeting, she realized that there were no lawyers or legal scholars among the project researchers. As a lawyer, she could see that there was a gap in understanding how law and regulations would impact the uptake, development, and proliferation of nature-based solutions.
Working with NAIAD, she developed her PhD dissertation to address this gap and advance understanding around the role of the law in nature-based solutions, both in terms of governance in implementation and practice and the potential for governance innovation that better supports and promotes future adaptation.
“My YSSP project here at IIASA focuses on the city of Valladolid, Spain, and examines the legal context around the implementation of a collection of nature-based solution projects. I am trying to draw insights from these that could perhaps also be applied to other cases,” she explains.
Buono is doing a critical qualitative study that integrates analyses of interviews and policy documents using NVivo, a qualitative data analysis computer software package specifically designed to work with very rich text-based and/or multimedia information, together with legal analysis. She says that there is still a lot of work to be done to adapt to climate change and an interdisciplinary cross-sector effort will be necessary.
The preliminary results from her YSSP research point to a number of constraints and facilitating factors related to law and regulation. She says that the lack of explicit legal authorization for nature-based solutions that she identified in her study, strict water quality regulations, and bureaucratic hurdles could be some of the factors that constrain the implementation of nature-based solutions. However, flexibility in the law and a polycentric governance structure was identified as facilitating factors that encourage local entities to opt for nature-based solutions.
Buono hopes that her research will help decision makers to assess and address legal components that guide, structure, or impede the use of nature-based solutions, and to consider how the law could be evolved to create a more enabling environment for more adaptive governance arrangements that would better support nature-based solutions.
“Our policies and infrastructure are going to have to change to be able to deal with the impacts that we are already experiencing. Nature-based solutions and a shift toward adaptive governance could help us navigate more gracefully in these important transitions,” she concludes.
Note: This article gives the views of the author, and not the position of the Nexus blog, nor of the International Institute for Applied Systems Analysis.
By Tobias Sieg, IIASA Young Scientists Summer Program alumnus
IIASA Young Scientists Summer Program alumnus Tobias Sieg explains how risk assessments considering uncertainties can substantially contribute to better risk management and consequently to the prevention of economic impacts.
According to the World Economic Forum’s Global Risk Landscape 2018, extreme weather events and natural disasters are ranked among the top three global risks. For many regions, hydro-meteorological risks – in other words, weather or water related events like cyclones or floods that pose a threat to populations or the environment – constitute the biggest threat. This calls for a comprehensive scientific risk assessment with a particular focus on large associated uncertainties.
Assessing the risk of hydro-meteorological hazards without considering these uncertainties, is like entering a pitch-dark labyrinth. You have no idea where you are and where you will end up. If you enter with a flashlight, you might still not immediately know exactly where you will end up, but at least you can assess your possibilities for finding a way out.
We should all care to see those possibilities and to identify uncertainties, since the consequences of hydro-meteorological hazards can have severe impacts on socioeconomic systems, and global- and climate change could favor the occurrence of floods. An increase in extreme weather events, such as heavy precipitation can be expected along with an increasingly warmer climate. In combination with uncontrolled socioeconomic development, these extreme weather events could potentially trigger more intense hazardous flood events in the future. Appropriate management of their consequences is therefore required, starting from today, while pro-actively thinking about the future. To that end, risk management policy and practice need reliable estimates of direct and indirect economic impacts.
The reliability of existing estimates is usually quite low and, what is maybe even worse, they are not communicated properly. This may signal a false sense of certainty regarding the prediction of future climate-related risks.
In two recent studies, my co-authors and I developed and applied a novel method, which specifically focuses on the communication of the reliability of economic impact estimates and the associated uncertainties. The proposed representation of uncertainties enables us to shed some light on the possibilities of how a specific event can affect economic systems. As a Young Scientists Summer Program (YSSP) participant with the IIASA Risk and Resilience Program, I applied the method together with my supervisors Thomas Schinko and Reinhard Mechler, to estimate the overall economic impacts of a major flood event in Germany in 2013.
The estimated overall economic impacts comprise both direct and indirect impacts. Direct impacts are usually caused by physical contact of the floodwater with buildings, while indirect impacts can also occur in regions that are not directly affected by a flood. For example, obstructions of the infrastructure can lead to delayed deliveries, in turn leading to negative impacts for the production of goods outside the flooded areas. The crucial novelty of this method is the integrated assessment of direct and indirect economic impacts. In particular, by considering how the uncertainties associated with the estimation of direct economic impacts propagate further into the estimates of indirect economic impacts.
Being able to reproduce what has happened in the past is essential to making credible predictions about what could potentially happen in the future. A comparison of reported direct economic impacts and model-based estimates reveals that the estimation technique already works quite reliably. The good news is that anyone can help to increase the predictive reliability even further. The method uses the crowdsourced OpenStreetMap dataset to identify affected buildings. The more detailed the given information about a building is, the more reliable the impact estimations can get.
Our study reveals that the potential of short-term indirect economic impacts (without considering recovery) are quite high. In fact, our results show that the indirect impacts can be as high as the direct economic impacts. Yet, this varies a lot for different economic sectors. The manufacturing sector, for instance, is much more affected by indirect economic impacts, since it is heavily dependent on well-functioning supply chains. This information can be used in emergency risk management where decisions have to be made about giving immediate help to companies of a specific sector to reduce high long-term indirect economic impacts.
We are now looking at different possibilities of how flood events could affect the economic system. Having a range of possibilities of the relation between these impacts makes them transferable between different regions with similar economic systems. Our results are therefore also relevant more broadly beyond the German case. This representation of uncertainties can help to get to a more credible and consistent risk assessment across all spatial scales. Thus, the method is able to potentially facilitate the fulfillment of some of the calls of the UN Sendai Framework for Disaster Risk Reduction.
Detailed risk assessments considering uncertainties can substantially contribute to better risk management and consequently to the prevention of economic impacts – direct and indirect, both now and in the future.
 Sieg T, Schinko T, Vogel K, Mechler R, Merz B & Kreibich H (2019). Integrated assessment of short-term direct and indirect economic flood impacts including uncertainty quantification. PLoS ONE 14(4): e0212932. [pure.iiasa.ac.at/15833]
By Junko Mochizuki, researcher with the IIASA Risk and Resilience Program
IIASA researcher Junko Mochizuki writes about her recent research in which she and other IIASA colleagues developed an indicator to help identify vulnerable countries that should be prioritized for human development and disaster risk reduction interventions.
Working as part of an interdisciplinary team at IIASA, it is not uncommon for researchers to uncover disciplinary blind spots that would otherwise have gone unnoticed. This usually leads to a conversation that goes something like, “If only we could learn from the other disciplines more often, we can create more effective theories, methods, and approaches.”
My recently published paper with Asjad Naqvi from the IIASA Advanced Systems Analysis Program titled Reflecting Risk in Development Indicators was the fruit of such an exchange. In one afternoon, our coffee conversation hypothesized various reasons as to why the disaster risk discipline continued to create one risk indicator after another while the development community remained silent on this disciplinary advancement and did not seem to be incorporating these indicators into ongoing research in their own field.
Global ambitions such as the Sustainable Development Goals (SDGs) and Sendai Framework for Disaster Risk Reduction call for disaster mainstreaming, in other words, that disaster risk be assessed and managed in combination with any development planning efforts. For various reasons, we however continue to measure development and disasters separately. We know that globally the poor are more exposed to risk and that disasters hurt development, but there was not a single effective measure that captured this interlinkage in an easy-to-grasp manner. Our aim was therefore to demonstrate how this could be done using the information on disasters and development that we already have at our disposal.
The Human Development Indicator (HDI) is a summary measure of average attainment in key dimensions of human development – education, life expectancy, and per capita income indicators – that are used to rank countries into four tiers of human development. Using the HDI as an example, Asjad and myself compiled global datasets on human development, disaster risk, and public expenditure, and developed a method to discount the HDI indicator for 131 countries globally – just as others have done to adjust for income– and gender-inequality. Discounting the HDI indicator for education, for instance, involves multiplying it by the annual economic value of the average loss in terms of education facilities, divided by the annual public expenditure on education. We did this for each dimension of the HDI.
Conceptually, the indicator development was an intriguing exercise as we and our reviewers asked interesting questions. These included questions about the non-linearity of disaster impact, especially in the health sector, such as how multiple critical lifeline failures may lead to high death tolls in the days, weeks, and even months following an initial disaster event. Other issues we examined were around possibilities for the so-called build-back-better approach, which offers an opportunity to create better societal outcomes following a disaster.
Our formulation of the proposed penalty function hardly captures these complexities, but it nevertheless provides a starting point to debate these possibilities, not just among disaster researchers, but also among others working in the development field.
For those familiar with the global analysis of disaster risk, the results of our analysis may not be surprising: disasters, unlike other development issues (such as income- and gender inequalities for which HDI have been reformulated), have a small group of countries that stand out in terms of their relative burdens. These are small island states such as Belize, Fiji, and Vanuatu, as well as highly exposed low and lower-middle income countries like Honduras, Madagascar, and the Philippines, which were identified as hotspots in terms of risk-adjustments to HDI. Simply put, this means that these countries will have to divert public and private funds to pay for response and recovery efforts in the event of disasters, where these expenses are sizeable relative to the resources they have in advancing the three dimensions of the HDI indicator. Despite their high relative risk, the latter countries also receive less external support measured in terms of per capita aid-flow.
Our study shows that global efforts to promote disaster risk reduction like the Sendai Framework should be aware of this heterogeneity and that more attention in the form of policy support and resource allocation may be needed to support groups of outliers. Finally, although the cost of most disasters that occur globally are small relative to the size of most countries’ national economies, further sub-national analysis will help identify highly vulnerable areas within countries that should be prioritized for development and disaster risk reduction interventions.
Mochizuki J & Naqvi A (2019). Reflecting Disaster Risk in Development Indicators. Sustainability 11 (4): e996 [pure.iiasa.ac.at/15757]
Note: This article gives the views of the author, and not the position of the Nexus blog, nor of the International Institute for Applied Systems Analysis.
By Sandra Ortellado, 2018 Science Communication Fellow
Science fiction depicts the future with a combination of fascination and fear. While artificial intelligence (AI) could take us beyond the limits of human error, dystopic scenes of world domination reveal our greatest fear: that humans are no match for machines, especially in the job market. But in the so-called fourth industrial revolution, often known as Industry 4.0, the line between future and fiction is a thread of reality.
Over the next 13 years, impending automation could force as many as 70 million workers in the US to find another way to make money. The role of technology is not only growing but also demanding a completely new way of thinking about the work we do and our impact on society because of it.
Rather than focusing on which jobs will disappear because of technological disruption, we could be identifying the most resilient tasks within jobs, says J. Luke Irwin, 2018 YSSP participant. His research in the IIASA World Population program uses a role- and task-based analysis to investigate professions that will be most resilient to technological disruption, with the hope of guiding workforce development policy and training programs.
“We are getting better and better at programming algorithms for machines to do things that we thought were really only in the realm of humans,” says Irwin. “The amount of disruption that’s going to happen to the work industry in the next ten years is really going to impact everyone.”
However, the fear and instability created by the potential disruption elicit chaos, and the response is hard to organize into constructive action. While the resources remain untapped, creativity and imagination are wasted on speculation instead of preparation.
“I couldn’t stand that there’s all this great evidence-based work out there about how we can improve people’s lives and no one is using it,” said Irwin, “I’m trying to align a lot of research and put it in a place where you can compare it and make it more useful and more transferable between the people who would be talking about this: educators, policymakers, employers, and anybody in the workforce.”
Using a German dataset with vocational training as well as time and task information, Irwin will break down jobs into the specific cognitive and physical skills involved and rank the durability of each skill.
Based on the identified jobs and skills, Irwin will go on to draw connections between labor-force capabilities and education policies. His goal is to scale the findings of the most resilient skills to the German labor system so that policymakers and academic institutions can retrain currently displaced workforces and reimagine the future of human work.
After all, while about half the duties workers currently handle could be automated, Mckinsey Global Institute suggests that less than 5% of occupations could be entirely taken over by computers. The future of predictable, repetitive, and purely quantitative work may be threatened, but automation could also open the door for occupations we can’t even imagine yet.
“I think people are amazing and that they have a lot more potential than we are currently capable of fulfilling,” says Irwin.
The World Economic Forum estimates that 65% of children today will end up in careers that don’t even exist yet. For now, an increasingly self-employed millennial generation works insecure, unprotected jobs. The new gig economy, characterized by temporary contracted positions, offers independence but also instability in the labor market.
Without stable work, people lose a sense of security, and that can be dangerous for a policy system that isn’t built to handle uncertainty.
The last industrial revolution caused two or three generations of people to be thrown into poverty and lose everything they had because it was all tied into their job, recalls Irwin.
“Everything gets bad when things are uncertain,” says Irwin, “And this is a very uncertain time. We need to have a better idea of what’s coming so we can actually make some change.”
Irwin, who earned his Master’s in Public Health in 2014, wants his work to have a preventative focus, trying to find those things that not enough people are talking about, but have the potential to make a huge impact on public well-being.
“Especially in the United States, where I live, we’re so tied up with our jobs—it seems like it’s over half our identity,” says Irwin, “We live to work in America.”
In a place like the US, where a job is not only a source of income, but also an identity and a health factor, Irwin’s research offers hope that technological disruption can foster opportunity instead of chaos.
Note: This article gives the views of the authors, and not the position of the Nexus blog, nor of the International Institute for Applied Systems Analysis.