Elsevier

Tectonophysics

Volumes 562–563, 24 August 2012, Pages 1-25
Tectonophysics

Review Article
Why earthquake hazard maps often fail and what to do about it

https://doi.org/10.1016/j.tecto.2012.06.047Get rights and content

Abstract

The 2011 Tohoku earthquake is another striking example – after the 2008 Wenchuan and 2010 Haiti earthquakes – of highly destructive earthquakes that occurred in areas predicted by earthquake hazard maps to be relatively safe. Here, we examine what went wrong for Tohoku, and how this failure illustrates limitations of earthquake hazard mapping. We use examples from several seismic regions to show that earthquake occurrence is typically more complicated than the models on which hazard maps are based, and that the available history of seismicity is almost always too short to reliably establish the spatiotemporal pattern of large earthquake occurrence. As a result, key aspects of hazard maps often depend on poorly constrained parameters, whose values are chosen based on the mapmakers' preconceptions. When these are incorrect, maps do poorly. This situation will improve at best slowly, owing to our limited understanding of earthquake processes. However, because hazard mapping has become widely accepted and used to make major decisions, we suggest two changes to improve current practices. First, the uncertainties in hazard map predictions should be assessed and clearly communicated to potential users. Recognizing the uncertainties would enable users to decide how much credence to place in the maps and make them more useful in formulating cost-effective hazard mitigation policies. Second, hazard maps should undergo rigorous and objective testing to compare their predictions to those of null hypotheses, including ones based on uniform regional seismicity or hazard. Such testing, which is common and useful in similar fields, will show how well maps actually work and hopefully help produce measurable improvements. There are likely, however, limits on how well hazard maps can ever be made because of the intrinsic variability of earthquake processes.

Introduction

Until March 11, 2011, residents of Japan's Tohoku coast were proud of their tsunami defenses (Onishi, 2011a, Onishi, 2011b, Onishi, 2011c). The 10-meter high sea walls that extended along a third of the nation's coastline – longer than the Great Wall of China – cost billions of dollars and cut off ocean views. However, these costs were considered a small price to pay for eliminating the threat that had cost many lives over the past centuries. In the town of Taro, people rode bicycles, walked, and jogged on top of the impressive wall. A school principal explained, “For us, the sea wall was an asset, something we believed in. We felt protected.”

The defenses represented what an affluent technological society could do. Over a period of years, most recently in 2010, an agency of the Japanese government, advised by some of Japan's leading seismologists, had calculated precisely what kinds of earthquakes could be expected in different parts of the country. The largest hazard was assumed to be from thrust fault earthquakes to the east, where the Pacific plate subducts at the Japan Trench and the Philippine Sea plate subducts at the Nankai Trough. For the area of the Japan Trench off Miyagi prefecture on the Tohoku coast, the hazard mappers stated that there was a 99% probability that a magnitude 7.5 earthquake would occur in the next 30 years (Earthquake Research Committee, 2009, Earthquake Research Committee, 2010). This forecast, as well as similar detailed seismicity forecasts for all other regions, was used to produce the national seismic hazard map that predicted the probability that the maximum ground acceleration (shaking) in any area would exceed a particular value during the next 30 years. Larger expected shaking corresponds to higher predicted seismic hazard. A similar approach was used to forecast the largest expected tsunami. Engineers, in turn, used the results to design tsunami defenses and build structures to survive earthquake shaking.

All this planning proved inadequate on March 11, when a magnitude 9 earthquake offshore generated a huge tsunami that overtopped the sea walls, causing over 19,000 deaths (including missing; official police data as of December 2011) and at least $200 billion damage (Normile, 2012), including crippling nuclear power plants. This earthquake released about 150 times the energy of the magnitude 7.5 quake that was expected for the Miyagi-oki region by the hazard mappers. Somehow, the mapping process significantly underpredicted the earthquake hazard. The complex decision making process involved for the Fukushima nuclear power plant is reviewed by Nöggerath et al. (2011).

The hazard map, whose 2010 version is shown in Fig. 1, predicted less than a 0.1% probability of shaking with intensity “6-lower” (on the Japan Meteorological Agency intensity scale) in the next 30 years. In other words, such shaking was expected on average only once in the next 30/0.001 or 30,000 years. However, within two years, such shaking occurred.

How this discrepancy arose has become a subject of extensive discussion among seismologists (Kerr, 2011). We raised three issues in a recent short opinion article (Stein et al., 2011): 1) What went wrong for Tohoku? 2) Was this failure an exceptional case, or does it indicate systemic difficulties in earthquake hazard mapping? 3) How to improve this situation? Here we discuss these issues in more detail.

Section snippets

What went wrong at Tohoku

Analysis of the Japanese national seismic hazard map (Fig. 1) after the earthquake (Geller, 2011) pointed out that the Tohoku area was shown as having significantly lower hazard than other parts of Japan, notably the Tokai, Tonankai, and Nankai districts to the south. This assessment arose for several interrelated reasons. We use this example to illustrate how, owing to limited knowledge, hazard maps often depend crucially on mapmakers' preconceptions, which can lead to significant

Why hazard maps matter

The Tohoku example illustrates how earthquake hazard maps are crucial in developing hazard mitigation strategies. Society faces the challenge of deciding how much of its resources to spend on natural hazard mitigation. More mitigation can reduce losses in possible future disasters, at increased cost. Less mitigation reduces costs, but can increase potential losses.

The discussion in Japan about reconstruction of the Tohoku coast, which suffered enormous damage from the tsunami generated by the

Lessons from the Tohoku failure for hazard maps

In some cases, earthquake hazard maps have done well at predicting the shaking from a major earthquake; in other cases they have done poorly (Kossobokov and Nekrasova, 2012). Is the Tohoku failure a rare exception? Or does it illustrate major problems with current hazard mapping?

Hazard map challenges

Making earthquake hazard maps is an ambitious enterprise. Given the complexities of the earthquake process and our limited knowledge of it, many subjective choices are needed to make a map. As a result, maps depend heavily on their makers' preconceptions about how the earth works. When these preconceptions prove correct, a map fares well. When they prove incorrect or inadequate, a map does poorly. Predicting earthquake hazard has been described as playing “a game of chance of which we still

What to do

The Tohoku, Wenchuan, and Haiti earthquakes show that hazard mapping has many limitations and a long way to go. In any given area, additional research will improve hazard mapping, as more data are acquired from paleoearthquake records, geodesy, and other approaches. Modeling of fault processes will also help. However, we still do not know how to effectively use these data for anything beyond relatively general forecasts. For example, even had the GPS data showing strain accumulation off Tohoku

Mission impossible?

The present state of hazard mapping reflects the general paradox that humans desire to predict the future so strongly that we are reluctant to ask how well or poorly predictions do. This tendency, including the example in the epigram, is explored by Dan Gardner's (2010) book “Future Babble: Why expert predictions fail and why we believe them anyway.” Pilkey and Pilkey-Jarvis (2006) show many examples of models in the earth sciences that remain in common use despite repeated failures.

An

Acknowledgments

We thank Bruce Spenser and Jerome Stein for valuable discussions, and Antonella Peresan and an anonymous reviewer for helpful comments.

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