How many people died because of the Chernobyl disaster?

Several studies and organizations investigated deaths related to the Chernobyl accident. I present their results.

This article is part of a series on the DEC Report. The DEC report is a 200+ pages freely accessible report I wrote on climate change and energy. It assesses the world’s potential to tackle climate change by removing GHG emissions in energy and agriculture, and it assesses how we can optimize this transition.

Chernobyl

The Chernobyl disaster occurred on April 26, 1986, in Ukraine. It was caused by a combination of human error and design flaws in the reactor. The explosion and subsequent radiation release resulted in multiple deaths and the evacuation of hundreds of thousands of people.

How do we assess deaths after a nuclear disaster?

The UNSCEAR (United Nations Scientific Committee on the Effects of Atomic Radiation) is responsible for the assessment of radiation-related effects after a nuclear accident.

Causes of death

After a large-scale nuclear accident, several risks exist:

  • There is an immediate risk for workers around the nuclear reactor, as this reactor may explode or a fire may spread.
  • Secondly, there is a short-term risk of Acute Radiation Syndrome (ARS) which occurs after a high dose of penetrating radiation in a very short period of time.
  • Then, because of radiation risks, populations can be evacuated. These evacuations and the accident by itself can dramatically affect people’s lives, increase stress, and cause deaths.
  • Finally, in the long term, in case of excessive exposure to radiations, there is a higher risk of cancer and there are risks of cancer-related deaths.

The two first causes are the easiest to measure, I’ll call them “short-term deaths”. They’re easy to measure because they usually involve a small amount of people whose health status can be monitored during a short amount of time. It may be harder to measure the two other causes because they involve much more people during multiple years. The UNSCEAR is only responsible for ionizing radiations, not for deaths related to evacuations.

Measures

When there is a large-scale nuclear disaster, a “Major accident” (7/7 INES scale), there is a major release of radioactive material with widespread health and environmental effects. UNSCEAR and other agencies assess which radioactive emissions have occurred (Xenon 133, Iode 131..), where they went, and how much radioactive material may have been released. You can see an example in this UNSCEAR report (p 192). This release can be measured in Becquerel which is a unit to measure the activity of a quantity of radioactive material.

UNSCEAR_2020_21_Report_Vol.II.pdf p192

Collective exposure

Agencies now assess how much people are / have been where these emissions occured. It includes civilians and workers. And, in order to estimate how much people may be affected, it also includes animals and crops which may have been exposed and may be used to feed people.

A received dose of radioactivity is measured in Sievert. To estimate how a population was affected by radiations after an event, researchers provide a collective dose for this population. This quantity is expressed in person.Sievert (or man.Sievert). 1 man.Sievert could mean that 1 man received 1 Sievert, or that 2 men received 0.5 Sievert, or that 100 men received 10 mSv. Assuming that health consequences are statistically the same in these 3 situations is a simplification based on the Linear no-Threshold (LNT) model. Because of that, using man.Sievert to compute cancer deaths “should be avoided”.

However, even unperfect, this measure may be better than not giving any estimates. According to ICRP (International Commission on Radiological Protection), the “detriment adjusted nominal risk for cancer and heritable effects” is estimated at 5.5% per Sievert (table A.4.4).

According to UNSCEAR_2020_21_Report_Vol.II (p.196), the collective exposure for Chernobyl is 360000 man.sievert (200k in Belarus/Ukraine/Russia + 160k in rest of Europe).

Evacuation-related deaths

Unfortunately, there isn’t one official number for evacuation-related deaths for Chernobyl. The analysis has been performed on Fukushima but not for Chernobyl. Officially, 340000 people have been evacuated or relocated post-Chernobyl (UNSCEAR report, p.192).

Review of numbers in multiple studies

I included 6 studies or reports from organizations in this review: UNSCEAR 2000V2J, WHO, UNSCEAR 2008V2D, OWID, Sovacool, Hirschberg1998.

Short-term deaths

There is broad consensus on the 31 deaths that occurred shortly after the explosion or due to the acute radiation syndrome.

Long-term radiation-related deaths

These measures are done with a DDREF (Dose and Dose Rate Effectiveness Factor) of 2. Basically the DDREF estimates in a simplified way how dangerous low-level radiation exposure is. With a DDREF of 1, deaths would be higher. In literature, a value of DDREF between 1 and 2 can be found. But, in literature, there is also no consensus on the dangers of low-level exposure to ionizing radiation.

Evacuation-related deaths

There is no official estimate of the number of evacuation-related deaths at Chernobyl. For Fukushima, it is estimated that 2326 people may have died because evacuation-related deaths. This is 2.6% of evacuees. For Chernobyl, if 2.6% of evacuees died because of the evacuation, there would be 8986 evacuation-related deaths.

Results

If we take the highest numbers for short-term related deaths, long-term radiation-related deaths, and evacuation-related deaths, we can estimate that 31+32700+8986 = 41717 people at most died because of Chernobyl. Lower and higher numbers could be provided. Lower numbers could be provided because I took the highest estimate for long-term radiation-related deaths. Higher numbers could be provided because of the DDREF = 2 hypothesis and because all deaths related to the accident need to be considered: evacuation, stress, economic difficulties, worst living conditions etc.

Links

You can see how some of these results were used in much more details in the DEC report. Some of the data and models I used are also available on Github.

👏 if you liked this article and I’ll do more!

Return to Blog
All our articles are available on Medium

News

  • Card image
    Transformers in Pytorch from scratch for NLP Beginners

    Everything you need in one python file, without extra libraries Two weeks ago, I wanted to understand Transformers. I read the original paper, I read articles I could find online, I listened to podcas...

    Wed, 17 Feb 2021 21:12:46 GMT

    Read

    Wed, 17 Feb 2021 21:12:46 GMT

    Read
  • Card image
    Why do we close nuclear reactors?

    Nuclear reactors may be closed for four main reasons: they reached their end of life, they had an accident, they had technical problems and couldn’t be repaired, or a political decision made them cl...

    Sun, 02 Apr 2023 22:23:52 GMT

    Read

    Sun, 02 Apr 2023 22:23:52 GMT

    Read
  • Card image
    How many people died because of the Chernobyl disaster?

    Several studies and organizations investigated deaths related to the Chernobyl accident. I present their results. This article is part of a series on the DEC Report. The DEC report is a 200+ pages fr...

    Sun, 02 Apr 2023 18:29:33 GMT

    Read

    Sun, 02 Apr 2023 18:29:33 GMT

    Read
  • Card image
    Energy, EROI and limits to growth

    What is the limit to the amount of energy we can produce? Is EROI the best metric for future constraints? Let’s see! In this article, I provide a simple algorithm to evaluate if a strategy is credi...

    Sun, 02 Apr 2023 14:07:27 GMT

    Read

    Sun, 02 Apr 2023 14:07:27 GMT

    Read
  • Card image
    How much fossil fuel do we consume each year?

    Can we really grasp how much fossil fuels we consume each year? Is it a lot? Not that much? Can we easily do an energy transition for climate change? Or is our consumption of fossil fuel so fundamenta...

    Sun, 02 Apr 2023 11:58:25 GMT

    Read

    Sun, 02 Apr 2023 11:58:25 GMT

    Read
  • Card image
    How I assessed the global potential of nuclear energy

    This article is part of a series on the DEC Report. The DEC report is a 200+ pages freely accessible report I wrote on climate change and energy. It assesses the world’s potential to tackle climate ...

    Sat, 01 Apr 2023 20:08:49 GMT

    Read

    Sat, 01 Apr 2023 20:08:49 GMT

    Read
  • Card image
    How I evaluated the world’s potential for wind energy

    This article is part of a series on the DEC Report. The DEC report is a 200+ pages freely accessible report I wrote on climate change and energy. It assesses the world’s potential to tackle climate ...

    Sat, 01 Apr 2023 17:46:21 GMT

    Read

    Sat, 01 Apr 2023 17:46:21 GMT

    Read
  • Card image
    How I evaluated the world’s potential for solar energy

    This article is part of a series on the DEC Report. The DEC report is a 200+ pages freely accessible report I wrote on climate change and energy. It assesses the world’s potential to tackle climate ...

    Sat, 01 Apr 2023 16:28:55 GMT

    Read

    Sat, 01 Apr 2023 16:28:55 GMT

    Read
  • Card image
    How I evaluated the world’s potential for hydroelectricity

    This article is part of a series on the DEC Report. The DEC report is a 200+ pages freely accessible report I wrote on climate change and energy. It assesses the world’s potential to tackle climate ...

    Sat, 01 Apr 2023 15:09:34 GMT

    Read

    Sat, 01 Apr 2023 15:09:34 GMT

    Read
  • Card image
    How I built an AI Image Enhancer

    What is a great image? It’s just the previous image with more contrast and saturation, right (/s) ? But at some point, the contrast or saturation is too high. And what if the creator of the image d...

    Sat, 01 Apr 2023 02:06:01 GMT

    Read

    Sat, 01 Apr 2023 02:06:01 GMT

    Read
  • Card image
    [Video] A Model for Language Acquisition

    In this video I introduce the prototype for language acquisition in the global Artificial General Intelligence project. https://medium.com/media/9a72c93624362c8105f1406f16ee1817/href The model I used...

    Wed, 26 Jan 2022 22:54:31 GMT

    Read

    Wed, 26 Jan 2022 22:54:31 GMT

    Read
  • Card image
    Simulons des pandémies

    Propagation d’un virus dans une population Cet article a pour but de transmettre un retour d’expérience sur la simulation de pandémies. Objectif? Comprendre les limites et l’intérêt de ces a...

    Thu, 22 Oct 2020 11:56:53 GMT

    Read

    Thu, 22 Oct 2020 11:56:53 GMT

    Read
  • Card image
    Neural Network in C++ From Scratch and Backprop-Free Optimizers

    In this article I’ll present a beginner-oriented framework implementing neural networks in C++. The main goal of this code is to understand the root of neural networks for beginners, it also allows ...

    Tue, 13 Oct 2020 23:03:00 GMT

    Read

    Tue, 13 Oct 2020 23:03:00 GMT

    Read
  • Card image
    A more parameter-efficient SOTA bottleneck! (2020/07)

    Linear Bottleneck with Efficient Channel Attention instead of Squeeze Excitation CNN are great blablabla… Let’s get to the point. SOTA for image classification on Imagenet is EfficientNet with 88....

    Sat, 25 Jul 2020 19:40:43 GMT

    Read

    Sat, 25 Jul 2020 19:40:43 GMT

    Read
  • Card image
    Visuels de l’apprentissage des réseaux de neurones

    Modification des représentations internes d’un réseau de neurones en cours d’entrainement 1. Le formalisme de l’apprentissage automatique L’apprentissage automatique est la science regroupan...

    Wed, 03 Jun 2020 19:07:53 GMT

    Read

    Wed, 03 Jun 2020 19:07:53 GMT

    Read
  • Card image
    Construire un serveur de Deep Learning en 2020

    [UPDATE 2020/10/03: Prise en compte des nouveaux GPUs de Nvidia] L’intelligence artificielle, à travers l’apprentissage profond, est une discipline bien établie. Les algorithmes utilisés progr...

    Sat, 16 May 2020 12:43:19 GMT

    Read

    Sat, 16 May 2020 12:43:19 GMT

    Read