Tasha Addington-Ferris

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    • (Un)natural Disasters
    • Situating Environmental Problems and Solutions
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    • Cascadia Earthquake Preparedness Community Outreach Project
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Fukushima Daiichi: Japan's Resilience to Nuclear Plant Meltdown

Capstone 2017

Poster | Report

Summary | Annotated Bibliography

Background
Research
Results
References
Posts

Nuclear energy has been a controversial topic for decades now.  Predominant arguments for nuclear energy center around the lack of carbon emissions and the ability to produce mass amounts of stable electricity.  Understanding the relationship between SES function and radiation hazard in our modern age is the dilemma that has led me to investigate the extent to which a country can be resilient to nuclear power plant disasters.  In order to do so, disaster resilience must be reframed and reimagined in order to account for the distinct characteristics that occur in radiation crises across both space and time.  In the context of the Fukushima Daiichi Nuclear Plant meltdown, many authors have suggested that Japan’s resilience is based on a long history of earthquake culture.  Rather than accept those theories at face value, I use adaptive cycles and the Protective Action Decision Model to analyze processes occurring at different scales of time and space within Japan.

Background

Resilience is a term used widely throughout academics and beyond.  In my research, the most applicable definition of resilience is that used by Benson and Craig, in which resilience is a system’s capacity to undergo change while still maintaining function, and includes the ability to reorganize and learn (2014).  Use of the theory is critiqued as being without “a direction or goal, and is often employed without reference to its subjects” (Bahadur and Tanner 2014, 202).  Similarly, it is used as “a rhetorical devise with little influence on actual decision making” (Benson and Craig 2014, 780).  In order to ground this study in a goal, specific subjects, and decision making, the case study is assessed by looking at social-ecological systems (SES) and disaster resilience. 

SES resilience theory builds on the idea that “ecological resilience stimulates a community’s capacity to change, including complimentary changes within social resilience of that same community” (Kulig et. al. 2013, 759), and is even believed that the humans dominate the relationship (Walker et. al. 2004), making it important to idenify key actors in disasters. While humans have little control over the when, where, and what of a disaster, we still play a substantial role in the function of SES’s in the event and recovery stages.  The role we play tends to revolve around traits such as capacity, vulnerability, hazard, and risk.  In many cases, the resilience of an SES rides on how well the system is able to work around the constraints of such characteristics. This does not mean that vulnerability or hazard must be eliminated in order to have a successful disaster response, but rather “[it is] these characteristics of social–ecological systems (SESs) that will determine their ability to adapt to and benefit from change” (Walker et. al. 2004, para. 1). 

In order to effectively study resilience to nuclear power plant disasters, the following two models are used:

C.S. Holling: "adaptive cycles"

Ecologist C.S. Holling has studied SESs through a framework he calls a panarchy.  A panarchy is a nested set of adaptive cycles at multiple scales of time and space.  On its own, an adaptive cycle uses a set of processes that “create and maintain […] self-organization” by going  through stages of growth, accumulation, restructuring, and renewal (Holling 2001, 391). For the purpose of this paper I have divided the stages simply into points A, B, C, and D, each with a corresponding description assigned by Holling. Point A is exploitation/growth, B is conservation/accumulation, C is release/restructuring, and D is reorganization/renewal.  

When an adaptive cycle completes the processes of self-organization, the reorganization results in a cycle that is not identical to the one before it (Holling 2001).  Ideally the differences between the current and previous cycles are so negligible that the cycle appears rigid like Figure 1.  This is not always the case, however, with new cycles ranging from having better, worse, or simply different functionality.

Holling’s original 2001 article include a third dimension that specifically refers to resilience. Using the third dimension, his model twists backward between points B and C and forward between points D and A, the forward movement representing increased potential for resilience.  As such, if a cycle adapts successfully, point D is more likely to recover resilience lost at previous stages of the cycle.  Holling also uses the labels of ‘potential’ and ‘connectedness’ for the two dimensional axis of the model, in which potential means setting “limits for what is possible - it determines the number of alternative options for the future,” while connectedness “determines the degree to which a system can control its own destiny” (2001, 394).

When different levels of adaptive models are nested  together, they create a panarchy.  Each of the cycles operate at different time and space scales, in which larger cycles create slower change, constraining cycles below.  Smaller cycles are fast and disruptive, upsetting the status quo of cycles above. An example of such a panarchy would be to consider a community.  Individuals in the community suddenly decide to take a stand against plastic bag use by bringing reusable grocery bags while shopping.  The decision to create a community-wide agreement can happen quickly.  Changing plastic bag legislation in the government, however, could take years.  The difference between the two cycle speeds suggests that larger cycles are more stable at any given moment, capping movement within smaller cycles that could throw off the function of the entire panarchy.  By interfering with the community at point D, the larger cycle creates stable change to the community as it adapts into a new cycle.  This could take the form of plastic bag legislation that took a few years to create, but will stay in effect for the foreseeable future.  Conversely, the smaller cycle interferes with  the community at point B, pushing the entire conversation of plastic bag use into the public discourse at a time when it was not considered important.

Walker et. al. (2004) note that a panarchy is critical to understanding SES relationships because of the role each scale plays in system function; “because of cross-scale interactions, the resilience of a system at a particular focal scale will depend on the influences from states and dynamics at scales above and below. For example, external oppressive politics, invasions, market shifts, or global climate change can trigger local surprises and regime shifts” (2004, para 8).

 

Protective Action Decision Making (PADM)

PADM combines contextual, psychological, and situational influences to better understand protective action in response to crisis (Lindell and Perry 2012).  When individuals and communities go through the PADM steps, the process is influenced by place-, people-, and system-specific pre-conditions, highlighting the impacts of SES characteristics on disaster response (Cutter et. al. 2008). PADM is designed as a sequential flow chart, seen below, meant to visually represent the most likely step-by-step process of decision-making in case of crisis (Lindell and Perry 2012). The stages of the model itself include: the exposure to and absorption of information (understanding how a disaster impacts you), perceived threats (what you think about your danger level), and behavioral response (evacuation or some other form of protective action)  (Lindell and Perry 2012).

While a panarchy addresses overarching system changes, PADM can provide a platform to dig deeper into disaster response circumstances, which can bolster or alter the outcome of a panarchy in practice.  The PADM model is a process that occurs in quick intervals, repeated thanks to the feedback loop seen in the dotted arrow at the top of Figure 4.  The reoccurring nature of the PADM process is vital to recovering resilience after radiation disasters because they do not end in the same way as other types of disasters.  As long as radiation is affecting social and ecological systems, there are risks and hazards to consider taking protective action.

The decision-process, while shaped by outside influences, is inherently individual.  As such, the PADM model and Holling’s adaptive cycle model work together to address multiple scales of my research.  Specifically, this research breaks Japan down into local, prefectural, and national scales.  When applied, PADM frames individual processes during the disaster, while treating prefectural and national bodies as individuals in their own right. As PADM is considered alongside adaptive cycles, different components of PADM are highlighted more than others at each stage of an adaptive cycle to emphasize strong influences on decision-making throughout the cycle’s lifespan.  As such, I use PADM slightly differently than Lindell and Perry suggest, focusing on only some of the components at any given time in the adaptive cycle (though all components continue to be part of the PADM lifecycle).

 

Radiation Disasters

The SES and disaster response research addressed above is deeply rooted in our academic field already, but today’s ever changing technological advancements change the narrative of research.  The reality of radiation disasters from nuclear plant accidents has changed the definition of disaster.  The world was rocked by a nuclear power plant explosion for the first time in 1986 when a test at the Chernobyl Nuclear Power Plant went wrong.  The explosion caused airborne radioactive material to spread across parts of Europe and introduced the world to major implications of radiation accidents.  These included the threat of thyroid cancer, as well as psychologic and physical impacts. 

Radiation is not visible, and not well understood by the general public (Coleman et. al. 2013), making it both impossible for people to recognize environmental cues, and intrusive in psychological well-being (Lindell and Perry 2012).  Chernobyl also taught us that radiation-contaminated resources like milk, food and land (Yamashita and Takamura 2015) create a link between the capacity of an individual and the responsibility of governmental bodies.  Capacity and vulnerability link disaster events and a system’s resilience, in which the capacity refers to the resources “that people possess to resist, cope with and recover from disaster shocks they experience” (Wisner et. al. 2011, 28). While vulnerability refers to the “susceptibility to harm from exposure to stress” (Adger 2006, 268), it is important to remember that vulnerable parts of a system are not without capacity, but rather operate with a different capacity limit (Wisner et. al. 2011).

Fukushima, Japan

Before using Japan as a case study about disaster response, there are two major characteristics of the country that need to be examined first: the geographic significance and Japan’s aging population.  Japan is an archipelago, meaning a collection of small islands, located at a specific point in the Pacific Ocean where four major tectonic plates meet (Karan 2009).  As the plates grind together, they produce both minor and major earthquakes and tsunamis, recorded all throughout Japan's history.  Such a history has created a culture of disaster in Japan, making emergency preparedness one of the nations top priorities (Karan 2009).  A second urgent concern for the country is development.  While Japan attempts to bolster its condensing cities full of a young, working generation, it is battling a steadily aging population (Karan 2009).  The distribution of Japan's population has changed priorities in voting, economics, lifestyle, and more.

The Great Eastern Japan Earthquake

On March 11th of 2011, Japan experienced a 9+ magnitude earthquake just off the northeast Honshu coastline, in the Tohoku region.  The area is home to the Fukushima Nuclear Power Plant (owned and operated by the Tokyo Electric Power Company - TEPCO), located in Fukushima Prefecture.  The Fukushima plant lost power after the earthquake produced a 15 meter tsunami, kickstarting Daiichi reactors 1, 2, and 3 into meltdown (Wang et. al. 2013).  The meltdowns caused explosions, venting air full of radioactive material into the surrounding community and causing the evacuation of nearby residents (Wang et. al. 2013).  In context, the explosions at Fukushima were rated a Level 7 on the International Nuclear and Radiological Event Scale, of which the accident at Chernobyl is the only other Level 7 designated event (Zhang et. al. 2014).

In a report after the accident, the International Atomic Energy Agency (IAEA) suggested that a major impediment to the functioning of the plant and surrounding areas before, during, and after the event was the assumption by stakeholders (including residents, local government, and TEPCO officials) in the region that the nuclear plant was safe enough that a disaster of such degree would never happen (WNA 2017a).  This sentiment is supported by an article written by Etsuko Kinefuchi on the ‘articulations of Japan’s nuclear power hegemony’ (2015).  Kinefuchi argues  that the nuclear power program of Japan has gone hand-in-hand with narratives of nuclear plants as ‘absolutely safe,’ ‘green’, and ‘necessary for energy independence’ (2015).  The IAEA claims this narrative was one of the factors that caused TEPCO to ignore up to five warnings about the plant’s tsunami risk (WNA 2017a), about which Wang et. al. states that 22 of the 35 stakeholders in a committee that suggested the warnings be re-evaluated “had ties to the nuclear power industry” (2013, 132).  These re-evaluations of safety warnings resulted in changes to the plant’s safety design that ended up with a lower sea-wall than originally suggested.  

Evacuation

Immediately after the earthquake, concerns for residents spurred a number of official evacuation orders from March 12th, starting with residents living within three, ten, and then 20 kilometers from the plant (Hayano and Adachi 2013). All told, approximately 160,000 residents evacuated over the course of the accident (WNA 2017a), with only an estimated 2,000 people within the area when radiation levels were highest, on March 14th (Hayano and Adachi 2013).

The evacuation orders, while necessary to make sure that residents were safe from radiation harm, caused many problems of their own.  Evacuations were rushed, with confusing and poor information available to residents, sending some evacuees on wild odysseys to find evacuation shelters (Zhang et. al. 2014) (Brumfield 2013).  They can also be physically challenging for vulnerable populations, particularly older residents. Lastly, because of the characteristics of radiation many areas are still uninhabitable and around 120,000 people are still displaced (Iwasaki et. al. 2017).  

Energy Consequences

Japan is a resource-poor country, importing most of its energy supply.  During the county's transition from oil in the 1970's, nuclear power was framed as a ‘quasi-domestic’ resource, increasing energy security and providing green, clean energy sources (WNA 2017b) (Kinefuchi 2015), and by 2010 accounted for 30% of the country’s energy production (Koyama 2013).  After the accident in 2011, trust in the use of nuclear energy plummeted.  Public sentiment for a complete end to Japan's nuclear energy systems rose to just over 30% (Suzuki 2015).  Shortly after the accident, plants began to shut down for safety checks, and eventually the last of Japan’s 50 nuclear power plants shut down in May of 2012 (Koyama 2013). Markets increased to liquid natural gas (LNG) instead, raising greenhouse gas emissions (Koyama 2013) so much so that the government began implementing feed-in-tariffs (or subsidies, if you will) for renewable energy.  Plants began to reopen after nuclear was deemed still desirable by the Strategic Energy Plan, though only five plants are operating today (WNA 2017b).

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Project Research

To what extent has Japan demonstrated resilience to the Fukushima Nuclear Plant meltdown?

Even operating under Benson and Craig’s most basic definition of resilience, in which a system undergoes change while maintaining function, Kulig et. al. point out that in order to effectively  monitor any change in function there must be an element of “time” to the study.  The study of resilience in the most complete sense of the word must bring together the specific with the general, the immediate with the future, and expectation with reality, all of which involve a multi-layered, multi-temporal scope.

On top of that, new technologies complicate how resilience is implemented.  In order to better understand NPP disasters and the unique challenges they offer, I specifically situate my research in Japan, studying the extent to which the country demonstrated resilience to the Fukushima Nuclear Plant meltdown.  I focus on the extent of demonstrated resilience rather than attempting to define a dichotomy of resilient or not.  The approaches I take to answer this question are not meant to decisively measure the full range in resilience of any individual or community.  Instead, they help conceptualize how countries manifest resilience at different scales in ways specific to radiation-centered disasters.  As Fukushima is a nuclear disaster of remarkable scale, second only to Chernobyl, and has a unique set of event characteristics, this study will seek both a focused and broad understanding, without falling into a rigid dichotomy of resilience.

pic
Methods
Development
Crisis
Response
Reorganization
Reimagining
Big Picture
Methods

Exaggerating Adaptive Cycles

In order to contextualize radiation disasters like that of Fukushima in the larger framework of radiation theory, I analyze the meltdown using adaptive cycles.  Holling suggests that when an adaptive cycle completes the stages of growth, accumulation, restructuring, and renewal, the new cycle that emerges is different than the previous.  I argue that when an SES experiences a radiation disaster, the difference between adaptive cycles is exaggerated due to the implications of radiation on time and space of recovery.  The separation of point A from point A’ represents the exaggerated difference between the completed cycle (point A), and the upcoming cycle (point A’).

Point B translates to the onset of disaster in the cycle because it demonstrates a drop in system function from point B to point C.  When the old cycle starting from point A is complete, the reimagining of the cycle into point A’ highlights the concept of remembering that occurs in a panarchy when a larger cycle interacts with a smaller cycle (seen in Figure 3).  When applied to radiation disasters, the exaggeration of the cycle primarily suggests that if resilience to such a disaster is possible, it will present differently than it has in the past.

Using PADM

In order to thoroughly investigate this topic, the adaptive cycle model will be supported by the Protective Action Decision Model (PADM).  This additional model will help distinguish between event characteristics at all stages of the crisis.  The PADM model is helpful in studying Fukushima because it directly evaluates the “subjects of resilience" (Bahadur and Tanner 2014) by identifying contextual, psychological, and situational factors of resilience in Japan.  The way PADM is used for this research involves first identifying key actors at different SES scales (e.g. local, prefectural, and national).  From then on, events and actions by the actors are assessed at each stage of the crisis.  As the SES goes through the stages of an adaptive cycle, certain parts of PADM are more prevalent than others.  The sections PADM process occurs almost simultaneously, the adaptive cycle makes the role of each PADM component more or less influential at any given time.

The model’s typical application is described as being “situations in which emergency managers are transmitting information concurrently to large numbers of people who are responding to a single ‘focusing event’” (Lindell and Perry 2012, 625). Radiation disasters may have a “focusing event” that triggers exposure to radionuclides, but the crisis itself does not end at that event.  Even if evacuees are safely moved, the stakeholders of the SES are still in a highly uncertain situation that requires planning for the future.  PADM is typically not applied to disasters seven years after the event.  However, because there is still radiation affecting both people and land in Japan, the model was still relevant to decisions being made at all scales of the country.  Similarly, Japan is still home to nearly 49 other nuclear power plants at varying capacity.  PADM can help the hazard-adjustments that are necessary moving forward to prepare the country for future disasters.

Studying Fukushima

In order to address the research question stated above, I use a collection of case studies, so to speak, that help sketch a full picture of the event at multiple scales.  This includes studying the context from as small of a scope as an individual’s psychological state, to as large of a scope as governmental and industrial state.  Evidence for these case studies comes from an array of different sources, including the more individual and community scale through health and wellness surveys, anecdotal evidence, migration patterns, communication, GPS data, and more.  To expand outward, governmental regulation, energy implications, and cultural components are used to study community and country-wide scales. 

In order to effectively use the sources for this case study, evidence from each source will be organized by the points of the adaptive cycle model, as well as the corresponding parts of PADM.  The results are displayed in a table format that includes the breakdown of the Fukushima case study into scale, so that the individual, community, and country-wide impacts are clearly defined.  Finally, a chart is used to graphically represent overall important parts of the case study on a sliding scale of resilience.  The chart uses stakeholder scale (individual versus community) and resilience potential to not only demonstrate whether or not resilience is present, but to also highlight the ranges at which it can exist.

Development

Point A: Development

The goal of Table 1 is simple: understand community stakeholder perceptions of the nuclear power plant.  Each level of stakeholder within the nested SESs of Japan has a different level of capacity, and perceptions of risk and hazard can affect how that capacity is managed.  The agreements and tensions between different perceptions can dictate the relationship, or lack thereof, between individual and community resilience.  Protective action before an event can take the form of disaster preparedness.  PADM stakeholder perceptions are highlighted in this stage because they can influence whether or not actors in the SES believe preparedness is necessary.

Point A therefore sets the stage for potentially poor resilience because of problematic risk perceptions from stakeholders like TEPCO and regulatory agencies.  Safety regulation was good enough until it was, well, not.  The large, institutional bodies of the prefectural and national SESs appear heavily influenced by the hegemonic articulations of nuclear energy mentioned by Kinefuchi (2015).  The narratives of “absolutely safe”, “green” energy created a lot of incentive for the industry and government to maintain the status quo.  The local SES of individuals in Fukushima do not have the political power at this stage as the other stakeholders.  They are not helpless laypeople however.  Residents of Fukushima constitute the very foundational workforce of the plant itself, as well as the economic and social engines of the prefecture that tie it to other parts of the country.

Crisis

Point B: Crisis

The crisis stage in Table 2 is signaled by the earth’s shaking and includes all reactor meltdowns and explosions.  The process of evacuation is primarily found here, though it trickles into the next stage of the adaptive cycle as well.  In Table 2 the physical characteristics of the disaster and the social and institutional understanding of radiation stand out from the other PADM processes occurring.  Point B builds upon the development section above because it highlights the lack of pre-event investment in educating the public about radiation exposure.  When lack of understanding is combined with a lack of environmental cues from radiation, the physical and psychological implications on evacuees are long lasting. 

Poor communication from local government and TEPCO left local residents to work with insufficient information for both evacuation and general health and safety.  Multiple accounts, like those of the Togawa family and vulnerable populations referenced in Sugimoto et. al. (2012), provide examples of how circumstances left local residents to create narratives for themselves of what was expected of them, and what they should expect from the future.

What this table fails to fully convey is that while each scale within the crisis influences the others, individuals are more influenced by personal circumstance than other scales.  For example, for older populations on the outer edges of the evacuation zone, it was found that “ambiguous official information disseminated through media after the nuclear crisis had confused the inhabitants and resulted in self-imposed ‘grounding’ and lack of physical activity” (Sugimoto et. al. 2012, p. 629).  Conversely, individuals who worked at the nuclear plant had a different understanding of the disaster.  Kenichi Togawa was one such worker who worried about the plant.  Having worked maintenance on the cooling systems at the plant, Kenichi realized that a meltdown was possible under certain conditions.  Even though his family was safe temporarily safe after the earthquake, Kenichi knew to evacuate even farther from the plant (Brumfiel 2013).  Not all Fukushima residents would have such foresight.

During this stage different types of resilience begin to interact with one another.  Zhang et. al., for example, write that while elderly people have often been believed to be more psychologically resilient, they tend to have less physical resilience.  As such, the “increase in the elderly population thus renders a community as a whole more vulnerable and less resilient to disaster.  Elderly take more health risks during the first stage of the accident - evacuation time” (2014, 9293).  The reason that nested scales are so vital to this research is because they highlight that no one part can make or break an SES or resilience.  The role that vulnerable populations play in the SES gives insight into the capacity of the SES, but does not determine how that capacity is utilized.

Response

Point C: Response

In some ways, Table 3 includes situational factors typical of any disaster as well as those specific to radiation disasters.  For example, heavy traffic during evacuation is fairly standard for many disasters, but the distribution of iodine pills is something particular to NPP disasters.  During crisis response, successful actions are often directly contradicted by the failure of others.  Improved mental health services, thyroid health checks, and the suspension of the country’s nuclear program all demonstrate the first steps of recovering resilience in the region.  However, few of the distributed iodine tablets were taken and difficult evacuation conditions present a lapse in follow-through of disaster support by the government.

Shutting down all 50 nuclear plants throughout the country restricted the energy sector for a significant period of time. This strained the energy capacity of the nation, and eventually resulted in the government bringing nuclear energy back into future energy plans.  It would have been equally concerning if the government had no interest in safety checks at other NPPs, especially amid ongoing public calls to end nuclear energy.  The decisions to shut down, and then restart, the program equate to sacrifices that are made between different kinds of resilience.  On one hand, NPPs are risky in circumstances like Fukushima.  On the other, they make sure that the country-wide SES of Japan is able to retain function.

As different stakeholder, SES, and resilience scales are sacrificed to bolster others, its becomes clear that there are gaps in Japan’s resilience as a whole.  Yet when studied in the context of Japanese society and the history of the Chernobyl disaster, there are clearly ways that the country tried to learn and adapt from events.  Because of the abstract nature of resilience, it is easy to romanticize the idea that the concept does not require sacrifice, or detract from other actors in a system.  Fukushima is a glimpse into how individuals, communities, and nations experience bumps along the road to resilience.

Reorganization

Point D: Reorganization

Adaptations made by a system recovering from disaster are meaningless unless they directly better the system’s preparedness for a future disaster.  During reorganization, a system transitions from short-term disaster response to long-term hazard adjustment.  Most hazard adjustment takes the form of taller tsunami walls or improved building codes.  Japan’s national adjustments to radiation hazards instead come as revised energy goals and the implementation of research on radiation affects.  Hazard adjustments can happen at smaller scales as well, though they may appear less obvious. 

Since the evacuation, very few people from Fukushima have been allowed to return to their homes.  For those that have, economic recovery is difficult; in Fukushima “major industries, ie. agriculture, fishing, retail and manufacturing industries, were all affected to varying degrees” (Zhang et. al. 2014, 9298).  Zhang et. al. believe that, although “population decline may reduce human impacts on the environment and improve living conditions to some extent, its adverse effects on disaster-stricken areas may far outweigh its benefits” (2014, 9293). This quote is best applied to disasters like earthquakes or tsunamis, where the economic impact of migration out of the region can harm the wellbeing of those that stay.  Decontaminated areas of radiation disasters are the next closest examples to what Zhang et. al. refers to.  Without the return of the social system, the ecological systems of Fukushima cannot be utilized as a resource.

This is not always the case.  In general, SES resilience relies on the entire system remaining connected.   In radiation contaminated areas, remaining connected is not always possible.  Even considering where the evacuation orders have been lifted, it is unrealistic to expect people to live in temporary shelters for more than seven years in order to return home.  Instead, previous Fukushima residents move all over the country to try and restart their lives.  The migration out of Fukushima is a more obscure representation of hazard adjustment.

Additionally, the ecological system of Fukushima prefecture, while still functioning to a degree that supports ecological processes, can no longer support social ones.  I argue that when the region was exposed to radiation, the social-ecological system of Fukushima prefecture split apart.  I consider the process of Fukushima residents migrating to other parts of the country as the decoupling of the region’s SES.  If the ecological system of Fukushima cannot support the social, the most productive move is for the social system to connect with a different SES in another region.  That way, both the social and the ecological systems of the original SES in Fukushima can recover on their own.  This can be considered sacrificing the general resilience of Fukushima for the specific resilience of Fukushima’s respective systems. 

Not all SES scales in Japan experience the reorganization stage in the same way as the prefectural scale.  Interestingly, the largest SES, represented by the Japanese government, is at odds with the smallest SES.  Even though anti-nuclear sentiment was on the rise, “the Japanese Prime Minister in June of 2012  gave the go-ahead to restart the Ohi [sic] nuclear power plants in south of mainland Japan in order to help ease the strain of not having a fully functioning nuclear energy program" (Koyama 2013, 276).  Though the Ōi plant was shut down a year later for scheduled maintenance, and back on the market again mid-2018 (WNA 2017b), it still represents a disconnect between public opinion and governmental decision.  Since then, five plants have been restarted, and many others are operable and able to apply for restart (WNA 2017b).  Individuals pushing for a change in energy policy do not have the same power as other stakeholders in Japan’s SES.  For many, resilience is about working within the capacity that each stakeholder has to make decisions.

Reimagining

Point A': Reimagining

The final stage of reimagining is founded upon two main ideas.  The first is that the old adaptive cycle of the Fukushima SES is starkly different than the new.  The second is that the exaggerated difference between the old and new cycles is prompted by hazard intrusiveness and information gathering that creates radiation disaster culture.  Hazard intrusiveness in this case refers to an increased amount of time and energy spent considering the impacts of the Fukushima nuclear plant meltdown.  The experience of evacuation has disseminated through the former Fukushima population and beyond, changing the way they live, and think about the future. 

While in many ways intrusive thoughts seem to detract from evacuees’ quality of life, I think it also offers an interesting question as to whether fear of radiation is necessary in making resilient decisions that ultimately benefit the individual and country as a whole.  Over time, fear of the lasting effects of radiation may diminish, especially as research on Fukushima advances.  The migration of individuals away from the prefecture means there are fewer resources being funneled to a prefecture that doesn’t have the means to fully function as an SES.  Rather, those resources can be extended to evacuees attempting to start new lives.

The emigration is not without its drawbacks, however.  For example, the emigration of the young  labor force out of Fukushima prefecture means that those who remained or returned lack economic support.  Migrants fleeing Fukushima because of fear consider the region an unlivable place.  The decision to leave Fukushima is one way that evacuees can assert agency over their lives.  Asserting agency as an individual can be significant, given that choice can be taken away from them by institutional and governmental decisions.  The final stages of disaster response are powerful in that way; the status quo is shaken during disaster just as much as the earth itself.

As the dust settles from reactor explosions and hurried evacuations, information gathering, at all levels, becomes vital.  As with most hindsight, there is the recognition that with more complete information during the disaster itself, the events might have turned out differently.  Ranging from studying the plant itself, to radiation exposure as physically and mentally challenging, there have been a wide collection of surveys and other information gathering that can help Japan (and consequently the rest of the world watching) better understand the potential for similar circumstances in the future.  After Chernobyl, political agendas interfered with publicly shared radiation research and education (Petryna 2002).  Japan’s political sphere is not without bias, but even so, governmental information gathering suggests that although Japan might not be fully resilient to the disaster, it is taking steps that can help achieve that goal in the future.

Big Picture

I end my analysis of Fukushima with Figure 8 because it best demonstrates that the SES framework depends on interactions across different scales (Walker et. al. 2004).  Levels of community and resilience potential range across a spectrum, continually interacting with one another.  In some cases, interactions across scale create support.  In others, they contradict.  Creating resilience in one way has the potential to weaken resilience in another.  This can be seen as “changing migration patterns” that strengthen the resilience of individuals who leave Fukushima, though “older residents less likely to leave” recover less resilience by remaining in a dissolving SES.  Residents that don’t return home have the potential to build resilience in another SES somewhere else, but are sacrificing the potential recovery of resilience in the original Fukushima prefecture SES in doing so.  This sentiment is found in the analysis of point A’ above. 

Another example of sacrifice in radiation disasters is fear and anxiety in evacuees.  On one hand, fear and anxiety over radiation hazard causes residents to take protective action like migration.  Yet the trauma from experiencing an NPP meltdown can be extreme (Brumfiel 2013).  It is possible that experiences that require sacrifice call for what could be considered “urgent" resilience.  Urgent resilience would recognize a need for adaptation felt so strongly that it encourages resilience, but at cost.  For example, extreme psychological trauma unchecked is dangerous for long-term health.  Yet an individual changing their lifestyle can be considered through a small adaptive cycle, influencing larger cycles above (like the Fukushima SES) by revolting the status quo of what their lifestyle should look like.

I found evidence of adaptive cycles at each scale of SES within Japan.  None of the scales experienced the cycles in the same way, because that is how a panarchy of adaptive cycles works.  Small cycles resulting in individual migration, for example, happened quickly after the disaster, changing the foundation of the prefectural SES.  Large cycles resulting in national restructuring, however, have happened slowly over the past seven years.  By using PADM to address adaptive cycles, the “subjects of resilience” that “influence actual decision making” were not only identified, but also arranged in a panarchy to establish multi-scaler interactions (Badahur and Tanner 2014; Benson and Craig 2014).   

In particular, two cross-cycle influences in a panarchy (revolt from below, remembering from above - Figure 3) have been recognized in the Fukushima disaster.  Evacuation, migration, and the spreading of radiation following the disaster fundamentally changing Fukushima.  Fear and anxiety, national policy updates, and lifestyle changes that continue as the country reorganizes affect the individual and national memory of the disaster.  PADM has been so applicable to radiation disasters because the continuance of radiation contamination has meant the crisis is not over.  As time passes, I hope to see that the influences within the panarchy of Japan will be able to instill a disaster culture of radiation resilience as intrusive as the disaster cultures of earthquake and tsunami recovery have been in Japan.

Ultimately, my research questions have been undoubtedly difficult to answer.  In essence, three different scales of Japan, individual, prefectural, and national, have demonstrated different quantity and quality of resilience over the past seven years.  Individually, residents of Fukushima indicated some resilience by adapting lifestyles in response to their new reality as NPP disaster survivors.  Residents undeniably experience heightened fear and stress from the events, sacrificing in order to continue taking care of loved ones.  Resilience in the prefecture of Fukushima is more obscure.  Arguably, the decoupling of the prefecture’s SES suggests that function is not maintained.  However, because the individual systems (social and ecological) are able to continue functioning in their own way, I am inclined to denote a small level of resilience specific to the respective systems is attained.  Finally, the national and more general resilience of Japan recovers slowly through the reconsiderations of policy, regulation, and cultural narratives of disaster.

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Implications

Fukushima as the new Chernobyl

Though the compounded nature of an earthquake, tsunami, and NPP meltdown make the Fukushima events unique, exposure to radiation is not new.  The Fukushima meltdown may be the most recent of large-scale radiation exposure, but perhaps the most notable of such disasters was the explosion at the Chernobyl Nuclear Power Plant in 1986. Because Chernobyl happened so many years before Fukushima, the former accident was at an obsolete Soviet-designed power plant with 1980’s nuclear regulation, and a limited understand radiation hazards (WNA 2016).  Fukushima was set in an extremely different context, but nonetheless utilized what was learned from Chernobyl. Radiation exposure at Chernobyl was compounded by lax regulation of contaminated food and milk.  Mistakes made at Chernobyl were exacerbated by poor safety standards, but automatic shut-off regulations have improved greatly since then (WNA 2016).  Finally, the clean-up processes at Chernobyl put thousands of lives at risk (WNA 2016).

Other research on the Chernobyl incident suggests that there are still largely place-based differences that impeded more successful disaster resilience.  While Japan is still reeling with traumatized citizens, it has not been dealing with the extent of political upheaval and corruption that Chernobyl was experiencing in the 1980s.  When speaking of radiation research, Adriana Petryna mentions that “the Belarussian government has tended to suppress or ignore scientific research; it downplays the extent of the disaster and fails to provide enough funds for the medical surveillance of nearly two million people who live in contaminated areas” (2002, 5).  Similarly, when the Soviet Union had sovereignty over the area immediately after the accident, the government set higher radiation threshold limits that allowed them to escape “key ethical questions about the health effects of Chernobyl” (Petryna 2002, 50). The discrepancies between public information and private government research contributed to increased tensions between stakeholders in Chernobyl.

Even now, only seven years after Fukushima, Chernobyl is decades farther into a recovery that will take decades more, and research comparing the two events continues to be produced.  If Fukushima and Chernobyl can tell the world anything, it is that although such disasters will likely be uncommon, they are possible.  By acknowledging that there are still hazards from NPPs, more countries around the world may begin reacting accordingly.

Other Technological Disasters

As mentioned, Japan’s experience of the triple disaster is quite unique.  Not only is it unprecedented in complexity of disaster, but the nuclear plant explosions themselves are second only to Chernobyl in intensity and scope.  The Bhopal disaster in India in 1984, right before Chernobyl, is likely one of the most closely related technologic disasters after Chernobyl.  Though it did not result in longterm relocation of residents, it did supersede both nuclear disasters in casualties, and rivals in the realms of fear, loss of trust, and implications of disaster research.  Sheila Jasanoff has written extensively about the Bhopal disaster - in particular about the “right to know” and the role of the law in aftermath.  She highlights the “asymmetries of power - between the state and the corporation on one side and the gas affected people on the other” (2008, 684) that were the driving forces behind the event’s main complications.  In the evolving nature of NPP disaster response, the asymmetries of power and agency between stakeholders seems to connect the contexts of Fukushima, Chernobyl, and Bhopal.

Additionally, keeping all scales of an SES accountable is a concern for any disaster.  This is complicated because of undefined expectations of the technology sector in terms of accountability, as Jasanoff mentions in her 2008 paper on Bhopal.  Jasanoff write, “most modern regulatory systems place on the producers of hazardous substances, such as industrial chemicals, the burden of generating and disclosing information about the characteristics of their products…in effect, a huge, uncontrolled field experiment was conducted on unsuspecting human subjects” (2008, 684).  In order to demand accountability, appeals for change must come from all levels of a context.  By themselves, individuals in Bophal likely do not have enough political power to incite change.  Leaving it up to the government alone, however, would likely result in even less accountability.

What Chernobyl, Bhopal, and Fukushima all share is a set of stakeholders with different priorities.  Tensions between stakeholders are present in most disasters, but radiation and the broader genre of technological disasters have a unique relationship with humans.  Humans build NPPs, run them, and then try to fix them when there are accidents.  The question of blame is something that is so tumultuous that it aggravates relationships between stakeholders even more.  By acknowledging the role of each stakeholder in a system, there is less ambiguity about why decisions are made.

Learning from the Past, Internationally

Fukushima provides a great recent case study through which to understand resilience to nuclear plant meltdowns, but it still begs the question of whether the consequences of what happened are accessible enough by the larger international community to make appropriate changes.  Can any country be resilient to nuclear plant disasters? Already, the implications of the meltdown have spread to other countries.  Germany and Switzerland have declared that they are planning to phase-out nuclear energy, regardless that leading nuclear disaster authors like Wang et. al. suggested that “these decisions would not only cost millions of dollars but also [leave] the countries struggling to find alternatives to meet the gap of electricity supplies” (2013, 127).

Beyond just political decision making, citizens in countries that already have an established nuclear energy sector, like China, have changed their perceptions of risk since the accident.  Huang et. al. surveyed residents living near nuclear plants in China and found that risk perception had shifted from “limited risk” to “great risk” (2013).  Researchers have already found that intrusiveness can be linked to future disaster responses; “researchers have found a positive relationship between level of threat belief and disaster response across a wide range of disaster agents, including floods,…earthquakes, and nuclear power plant emergencies” (Lindell and Perry 2012, 621).

When considering if any country can be resilient to NPP disasters, it seems reasonable to at least conclude that the potential to present resilient-like characteristics is possible. France, for example, has an even higher dependence on nuclear energy than Japan, with roughly 75% of energy generation coming from nuclear (WNA 2018).  Given that France now has two different NPP disasters to learn from (with extremely different levels of successful response), as well as a strong culture of reliance on the energy source, France has the right incentives to prepare for such disaster.  That being said, there is still a lot to understand before the word ‘resilience’ should be applied to a radiation disaster with any confidence.

Next Steps

Like any disaster, an NPP meltdown is above all else a shock to an SES system, inherently disrupting function.  Preparedness can go a long way in creating a system with effective disaster response, seen over and over again through earthquake and fire drills, and the like.  Though not a guarantee, simple disaster preparedness is one of the many ways governments across the world have responded to devastating events.  Table 1 showed us that before the events at Fukushima,  TEPCO intentionally left nearby citizens in the dark on possible hazards, for fear of suggesting a “worst case scenario” (Hirata and Warschauer 2014, 177).  Since then, the Japanese government has recognized the need to instill stronger NPP disaster preparedness in both its power plants, and its people.  The Japan Atomic Energy Agency, or JAEA, started running disaster drills at NPPs in 2016, with a total of four drills completed (JAEA 2018).  The implementation of this policy since the Fukushima disaster solidifies the argument made in previous sections of this paper about the speed at which Japan has the potential to create resilience on a national scale.

Disaster drills are not enough to build resilience to radiation disasters, however.  Such disasters have thus far demonstrated such pervasive consequences that more fundamental changes must be made to Japan’s NPP disaster preparedness endeavors.  Assumptions that it is possible to maintain a steady-state by many policies, like those encouraged through sustainability models, encourages approaches to disasters that will eventually fail.  Attempting to control a system or cycle in the event of a disaster ultimately results in failure to function.  As an alternative, I suggest reexamining the theoretical objectives of disaster preparedness policy.

When suggesting to reexamine such policy, I can not pretend to have the answers.  Instead, I suggest that future policy in Japan must be crafted while keeping in mind that in the face of disaster, policy will not be foolproof.  A goal should be to create policy that is likely not perfect when all hell breaks loose, but does not completely fail either.  Adaptive cycles utilize a lot of the same theoretical principles I suggest here, encouraging change and adaptation.  At point B in an adaptive cycle, where disasters occur, the number of possible futures for the cycle is high (via the axis “potential”).  With so many possible futures, both good and bad, policies that focus on a part of the adaptive cycle with such a high scale of potential must acknowledge that the outcome of the cycle cannot be predicted.

Further Research

Adaptive-cycle thinking can be implemented in more than just policy renovations.  Disaster research as a whole can be expanded to ask more questions about the relationship between adaptive cycle and disasters.  The study of radiation disasters in particular must be continued throughout our lifetime in order to fully understand events like Chernobyl and Fukushima.  As that research unfolds, more and more factors will create futures for each context that we won’t be able to predict. 

My research has been limited by a number of things.  The largest impediment, however, has been time.  In the last seven years, so much has been accomplished in rehabilitating and supporting the community and land of Fukushima, with so much more left to do.  On top of that, Japan’s government has proposed all sorts of policy changes that have yet to be mentioned in this paper because it is difficult to assess their success yet.  By repeating the questions from this research over the next fifty or one hundred years, we will get closer to a more complete understanding of radiation disasters.  Chernobyl has already shown us that a lot can happen in thirty years, and yet the world still lacks the basic information necessary to respond to similar disasters accordingly.

The larger purpose of this study has been to understand the extent to which resilience can be attained.  A critical assumption to question and build upon would be whether or not resilience is even the correct theory to be using.  I do not necessarily imply that there is a better word already out there, but Fukushima sets the stage as an opportunity to develop new theoretical groundwork on disaster response.  If this were the case, the research suggest for others would question a few basic assumptions of resilience: can there be adaptation without resilience?  Is resilience always a good thing?  Can you be resilient while also dependent?  My research often involved using resilience definitions as a yardstick for what could be accomplished in a system.  I encourage other researchers to question whether or not the yardstick itself is what needs to be changed.

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References

To read more about each of these resources, check out my Annotated Bibliography page.

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