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Revision as of 16:03, 26 July 2015
Nuclear Accident Magnitude Scale (NAMS)
Why a new quantitative scale was needed
The 11 March 2011 Fukushima-Daiichi nuclear accident showed that the International Nuclear Event Scale (INES) is not fit for purpose, because that accident and the 1986 Chernobyl disaster[1] were both assigned to INES Level 7 [2]. So in 2011 David Smythe devised the Nuclear Accident Magnitude Scale (NAMS), published in Physics Today, the flagship journal of the American Institute of Physics. The article[3] appeared in the online Points of View column in December 2011. This page is a non-technical summary of that article.
INES was devised by the International Atomic Energy Agency (IAEA), which is essentially a trade association for promoting civil nuclear power. The deficiencies in INES which became clear in the light of comparisons between the 1986 Chernobyl and 2011 Fukushima-Daiichi accidents are as follows:
- The scale is essentially a discrete qualitative ranking, and not defined beyond event level 7.
- It is explicitly designed as a public relations tool, not an objective scientific scale.
- Lastly, its most serious shortcoming is that it conflates magnitude with intensity, which in seismology are two distinct ways of measuring earthquakes (roughly, size and impact, respectively).
Here is a popular representation of the INES scale as a pyramid, with layers labelled 0 to 7.
![](http://upload.wikimedia.org/wikipedia/commons/thumb/1/16/INES_pyramid.jpg/220px-INES_pyramid.jpg)
No 'event' can exceed the apex layer of the pyramid, level 7. Both Chernobyl and Fukushima are classed as INES level 7, whereas it is clear that Chernobyl was the more severe accident.
The INES user manual runs to over 200 pages. The more serious accident levels, 3 to 7, are described thus:
- 3: ‘serious incident’
- 4: ‘accident with local consequences’
- 5: ‘accident with wider consequences’
- 6: ‘serious accident’
- 7: ‘major accident’.
The whole tenor of the INES document is designed to downplay and minimise the off-site effects of nuclear accidents. The words catastrophe and disaster appear nowhere. The very word 'event' is practically meaningless. The phrase 'defence in depth' is used in INES as shorthand for 'degradation of defence in depth', which in turn is Orwellian Newspeak for failure of safety systems.
A quantitative nuclear accident magnitude scale
The new quantitative nuclear accident magnitude scale (NAMS) uses the earthquake magnitude approach (the so-called Richter scale) to calculate the nuclear accident magnitude M. There are 33 well-quantified accidents of the last 60 years which can be studied in detail using NAMS. It turns out that they follow a regular pattern, as with earthquakes. Put simply, bigger nuclear accidents - like earthquakes - are less common than smaller ones, and the graph of how often each magnitude occurs has a simple and elegant mathematical description. Calculation of M requires merely an estimate of the off-site escape of radioactive isotopes to the atmosphere and what they comprise.
NAMS is a logarithmic scale, as is the earthquake magnitude scale. So one unit on the scale corresponds to a factor of 10 in its size.
![](http://upload.wikimedia.org/wikipedia/commons/thumb/a/aa/Barchart_nuclear_accidents_%28linear%29.jpg/220px-Barchart_nuclear_accidents_%28linear%29.jpg)
For those who are uncomfortable with this concept the data can be presented as a simple bar chart of the amount of radioactivity released. Accidents with magnitude less than 2.0 have been omitted. The chart on the left highlights the fact that there have been four catastrophic accidents, but provides no information on the other 21, because the bars are simply too small to show. That is why the logarithmic presentation of the same data is more meaningful. A simple way to show all the data is to arrange the magnitudes as a logarithmic bar chart, increasing in order from the smallest to the largest magnitudes.
![](http://upload.wikimedia.org/wikipedia/commons/thumb/b/ba/NAMS_barchart_log_scale.jpg/220px-NAMS_barchart_log_scale.jpg)
The logarithmic vertical scale now permits the small accidents to be viewed. But the discontinuity in the spread of the data is still clear.
A frequency-magnitude distribution is a standard way to characterise earthquake patterns, but it may be too technical for some, as both variables are presented logarithmically. When applied to nuclear accidents (not shown here) we can begin to make generalisations or predictions from the data.
The magnitude measure used in NAMS is simply the logarithm of the quantity of radioactivity released to the atmosphere. The different kinds of radioactivity have been adjusted to be equivalent to Iodine-131. This is because some inhaled radioactive isotopes are much more dangerous than others. For example, Plutonium-239 is 10,000 times more damaging than Iodine-131. This is the same methodology as used in INES. There is no simple method for quantifying the health effects of marine discharges, whereby radioactive isotopes are ultimately ingested as food, therefore I have had to omit such forms of contamination from the calculation. Fortunately the ingestion of radioactivity as food is far less dangerous than breathing it in.
New insights revealed by NAMS
In contrast to earthquake magnitudes, which vary smoothly from small to large, NAMS shows that there are four exceptional nuclear accidents which are greater by 100 to 1000 times than the next largest, which has magnitude 5.2. This is shown by the step in the bar chart. This is surprising, since one would expect that the graph to show a smooth trend from frequent minor accidents to infrequent severe ones, as with earthquakes. It is highly unlikely that the gap is due to missing or unreported accidents, as they would be too big to have been suppressed or otherwise unreported.
The catastrophic accidents are, in decreasing order of severity (where M is the NAMS magnitude):
- Chernobyl, Russia 1986 (M = 8.0)
- Three Mile Island, USA (M = 7.9)
- Fukushima-Daiichi, Japan 2011 (M = 7.5)
- Kyshtym, former USSR 1957 (M = 7.3)
Unlike the INES scale, there is no upper limit to the NAMS scale. In addition, the NAMS scale comprises real numbers (with a decimal point) and not a step-like integer scale as in INES. The NAMS frequency-magnitude graph (not shown here) suggests that a catastrophic accident like one of these can be expected to occur every 12 to 15 years. The INES scale says that there have been only two level 7 accidents in 60 years, or about one every 30 years. So INES underestimates the frequency of such catastrophic accidents, by at least a factor of two.
Each step of 1.0 on the NAMS scale means a factor of 10 increase in severity. The gap of 2.1 between 5.2 and 7.3 therefore means a jump of approximately 10x10=100 in the amount of radioactivity released. This gap is telling us something. It suggests that perhaps there is a mechanism whereby a nuclear accident develops from small beginnings, until it gets to such a point (at somewhat over magnitude 5) that a runaway catastrophe occurs. Serious accidents at nuclear power plants have been triggered by banal events like an employee changing a light bulb, or a technician testing for air leaks with a candle and starting a major fire. Benjamin Sovacool has documented these in his 2011 book, Contesting the future of nuclear power[4].
Discussion
NAMS, like INES, is implicitly a health-impact scale, because the activity of different isotopes is normalized to I-131 using the scale of dose equivalence specified in the INES; for example, plutonium-239 is 10,000 times more active for atmospheric release than I-131. In 2015 NAMS was adopted and used to quantify the financial costs of severe nuclear accidents[5]. The authors' independent statistical analysis confirms that the four largest catastrophic events lie outside (i.e. they are larger than) the expected statistical distribution. They refer to these events as 'dragon-king' accidents.
Some may be surprised to see Three Mile Island featuring as one of the big four catastrophic accidents, with M = 7.9, given that it was only graded as INES level 5 (see, for example, the comments appended to the original NAMS article[6]. There are two reasons for this. Firstly, the magnitude of a nuclear accident does not necessarily correlate one-to-one with its intensity, or impact, such as adverse health effects. This is comparable to earthquake magnitudes, where some of the greatest shocks have caused relatively little damage, for example because the source is very deep and/or remote from populations. Secondly, it is evident that the US federal and court systems have largely succeeded in suppressing evidence of the severity of Three Mile Island, despite good evidence to the contrary from epidemiological studies by Steve Wing and his colleagues. Their data on the elevated levels of cancer in the few years after the accident were republished as a highly telling graphic[7] published in 1997 in Endeavors (the online magazine of the University of North Carolina-Chapel Hill). It is evident which way the wind was blowing just after the accident.
Liquid contamination should in future be included in the NAMS accident quantification. The problem here, which is beyond the scope of the present paper, is how to estimate the radiological equivalences for the various isotopes and to return a value for the magnitude, given also the variety of paths by which activity might eventually be ingested. Alternatively, a separate NAMS scale for liquid contamination could be devised. It would once again be analogous to seismic magnitude scales, where a particular scale is defined by how the magnitude is estimated. The off-site consequences part of the INES (levels 4–7) needs to be completely rewritten. As with seismological scales, decimal real numbers should be reserved for the NAMS magnitude M, and Roman numerals should be used for a proposed revised INES intensity scale based on dose at a specific place and time.
Conclusions
NAMS highlights four exceptional accidents that are greater by 2–3 orders of magnitude than the next largest. Those are, in decreasing order of severity, Chernobyl, Three Mile Island, Fukushima Daiichi, and Kyshtym. Such catastrophic accidents can be expected to occur every 12–15 years. The INES, in contrast, fails to reveal that bimodality and underestimates the frequency of severe accidents.
NAMS makes no predictions about impact and dose, for the same reason that earthquake magnitude does not necessarily indicate damage.
In conclusion, if the vaunted 'nuclear renaissance' ever comes to pass, and the current worldwide fleet of reactors is replaced with new ones, NAMS shows that we can expect another 6 to 8 catastrophic accidents by the end of the century. Even if all the existing reactors are phased out and not replaced, there is a strong likelihood of at least two or three more Chernobyls or Fukushimas during the same period.
References
- ^ "Chernobyl disaster". Wikipedia.
- ^ "Fukushima Daiichi nuclear disaster". Wikipedia.
- ^ Smythe, David (12 December 2011). "An objective nuclear accident magnitude scale for quantification of severe and catastrophic events". Physics Today.
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ignored (help) - ^ Sovacool, Benjamin (2011). Contesting the future of nuclear power. World Scientific. p. 296.
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(help) - ^ Wheatley, Spencer; Sovacool, Benjamin; Sornette, Didier (7 April 2015). "Of disasters and dragon kings: a statistical analysis of nuclear power incidents & accidents". arXiv physics.soc-ph (arXiv:1504.02380v1).
- ^ name=Smythe 2011
- ^ Dalrymple, Mary. "Science on the firing line". Endeavors. UNC Research. Retrieved 25 July 2015.