Japan's nuclear crisis: 6 reasons why we should – and shouldn't – worry
Japan’s nuclear disaster is not as bad as Chernobyl, but it’s the worst since. The recent 8.9-magnitude earthquake and tsunami that followed have severely damaged the Fukushima Daiichi nuclear power plant. It has suffered two explosions, with warnings of a third possible, and fuel rods are exposed. Over 20,000 people have been evacuated from the area. This crisis raises important questions about the future of nuclear power and our failures not just to prepare for natural disasters but also possible failures in nuclear security. Harvard Kennedy School's Matthew Bunn gives us six key points to consider, originally published on the Power & Policy blog.
3. “Defense in depth" is crucial – but sometimes not as deep as expected
This is clearly an example of the huge importance of taking redundant safety systems seriously, and considering carefully the full scope of events that could occur. Given the huge magnitude of the quake, I think it is impressive that all the affected reactors initially managed to shut down automatically as planned, and begin emergency cooling operations. None of the reactors, for example, suffered damage that prevented the insertion of the control rods. When the Fukushima-1 lost power, the backup diesel generators started up as planned. But they were then knocked out an hour later, apparently by the tsunami.
The reactors suffered, in effect, a one-two punch that hadn’t really been expected. Clearly, given that an earthquake might well cause a tsunami, the diesel generators should have been designed in a way that would not be affected by tsunami waves. This is very likely a broader issue, that people have not adequately thought through the possibility of multiple traumas that could be caused by the same initiating event (e.g., a blackout and a large object crashing into the diesel generator as a result of a tornado – one could imagine many such coupled events).
This reinforces the view that whenever someone says there is less than a one-in-a-million chance of a complex system failing, there is more than a one-in-a-million chance they have made unjustified assumptions in their estimate.