Nuclear Fuel Cycle Royal Commission Topic 10 Nuclear Accident: - - PowerPoint PPT Presentation
Nuclear Fuel Cycle Royal Commission Topic 10 Nuclear Accident: - - PowerPoint PPT Presentation
Nuclear Fuel Cycle Royal Commission Topic 10 Nuclear Accident: Fukushima Daiichi ARPANSA Submission 22 Oct 2015 Dr Stephen Solomon Chief Radiation Health Scientist ARPANSA The 2011 Great East-Japan Earthquake and Tsunami Fukushima Daiichi
The 2011 Great East-Japan Earthquake and Tsunami
Fukushima Daiichi accident
Accident progression, 11 March 2011 onwards
Explosion (1, 3, 4)
Earthquake
Tsunami
Loss of off- site power
Shutdown
Loss of on- site power
Station black-out
Loss of core cooling Loss of spent fuel cooling
Venting H2 gen. Core melt
PV Breach
Damage to SFP4.
Ultimate heat sink lost
DISCHARGES
Source: ARPANSA Source: ARPANSA, based on UNSCEAR 2013
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Fukushima Daiichi after the hydrogen explosions
UNSCEAR 2013 Annex A Figure 2
UNSCEAR Report
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UNSCEAR estimates of releases to the environment
Radionuclide Inventory in Units 1 to 3 at reactor shutdown (PBq) Release to the atmosphere (PBq) Release to the ocean (PBq) Direct Indirect
131I
6,000 100 to 500 10 to 20 60 to 100
137Cs
700 6 to 20 3 to 6 5 to 8
- The exact amount of radioactive material released
to the atmosphere and to the ocean is uncertain.
- More than half of the atmospheric release was to
sea
- UNSCEAR estimated release was ~ 2% to 10% of 131I
inventory, ~1% to 4% of 137Cs inventory
UNSCEAR 2013 ANNEX A Table 3 UNSCEAR 2013 ANNEX A Figure B-8
Time sequence of releases
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- UNSCEAR used published estimates of releases to the
atmosphere over the period 11 – 30 March 2011
UNSCEAR 2013 ANNEX A Figure B-16a UNSCEAR 2013 ANNEX A Figure B-16b
Exposure pathways for releases of radioactivity
UNSCEAR 2013 ANNEX A Figure 5
UNSCEAR assessment of doses to public
External Exposure Inhalation Exposure Ingestion Exposure Ground Deposition Plume Modelling Behaviour data Representative groups 1y old infants (ages 0 – 5 years), 10y old children (ages 6 – 15 years) 20-year-olds adults (16 years and above). Effective dose Absorbed dose to; Thyroid Red bone marrow Female breast Collective dose Ground Deposition Plume Modelling Behaviour data Radioactivity in Food Radioactivity in Water Behaviour data District or Prefecture average doses for non-evacuees Settlement average doses for evacuees Doses in first year after accident Doses to year 10 after accident Doses to year 80 after accident
Pathway Input data Exposure Models Radiation Doses
Source: ARPANSA Source: ARPANSA, based on UNSCEAR 2013
Radiation measurements
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Fixed radiation monitoring station Airborne radiation survey Ground deposition survey
Atmospheric transport and dispersion modelling
UNSCEAR 2013 ANNEX A Figure C-4
Areas with protective measures 3 Aug 2011
UNSCEAR 2013 ANNEX A Figure 3
Age group EFFECTIVE DOSE (mSv) Precautionary evacuated settlements Deliberately evacuated settlements Before and during evacuation At the evacuation destination First year total Before and during evacuation At the evacuation destination First year total Adults
0 – 2.2 0.2 – 4.3
1.1 – 5.7
2.7 – 8.5 0.8 – 3.3
4.8 – 9.3
Child, 10-year-old
0 – 1.8 0.3 – 5.9
1.3 – 7.3
3.4 – 9.1 1.1 – 4.5
5.4 – 10
Infant, 1-year-old
0 – 3.3 0.3 – 7.5
1.6 – 9.3
4.2 – 12 1.1 – 5.6
7.1 – 13
Age group ABSORBED DOSE TO THE THYROID (mGy) Precautionary evacuated settlements Deliberately evacuated settlements Before and during evacuation At the evacuation destination First year total Before and during evacuation At the evacuation destination First year total Adults
0 – 23 0.8 – 16
7.2 – 34
15 – 28 1 – 8
16 – 35
Child, 10-year-old
0 – 37 1.5 – 29
12 – 58
25 – 45 1.1 – 14
27– 58
Infant, 1-year-old
0 – 46 3 – 49
15 – 82
45– 63 2 – 27
47 – 83
Effective doses and absorbed doses to thyroid for evacuees in first year
UNSCEAR 2013 Annex A Table 6
UNSCEAR estimates of effective doses & absorbed dose to thyroid for non-evacuees in first year
Residential area Average effective dose (mSv) Average absorbed dose to the thyroid (mGy) Adults 10-year old 1-year old Adults 10-year old 1-year old Group 2 - Fukushima Prefecture 1.0 – 4.3 1.2 – 5.9 2.0 – 7.5 7.8 – 17 15 – 31 33 – 52 Group 3 prefectures 0.2 – 1.4 0.2 – 2.0 0.3 – 2.5 0.6 – 5.1 1.3 – 9.1 2.7 – 15 Group 4 -Rest of Japan 0.1 – 0.3 0.1 – 0.4 0.2 – 0.5 0.5 – 0.9 1.2 – 1.8 2.6 – 3.3
- District- or prefecture- average effective doses and absorbed doses to
the thyroid for the first year for typical residents that were not evacuated
UNSCEAR 2013 Annex A Table 5
Average effective doses for non-evacuated areas, in first year, to year 10 and to age 80y
Age group as of 2011
District- or prefecture-average effective dose (mSv)
Geographical area of Japan Group 2 Fukushima Prefecture Group 3 prefectures Group 4 Rest of Japan FIRST YEAR EXPOSURE Adult
1.0 – 4.3 0.1 – 1.4 0.1 – 0.3
Infant, 1-year-old
2.0 – 7.5 0.3 – 2.5 0.2 – 0.5
10 YEAR EXPOSURE Adult
1.1 – 8.3 0.2 – 2.8 0.1 – 0.5
Infant, 1-year-old
2.1 – 14 0.3 – 6.4 0.2 – 0.9
EXPOSURE UP TO AGE 80 YEARS Adult
1.1 – 11 0.2 – 4.0 0.1 – 0.6
Infant, 1-year-old
2.1 – 18 0.4 – 6.4 0.2 – 0.9
- Detailed information about remediation was not available to UNSCEAR
and there is no allowance for these measures in assessment of doses
- For context, 80-year cumulative doses from background exposure to
natural sources of radiation in Japan are on the average about 170 mSv.
UNSCEAR 2013 Annex A Table 7
“…. when risks are small or may only be inferred on the basis of existing knowledge and risk models, and/or the number of people exposed is small, the Committee has used the phrase “no discernible increase” to express the idea that currently available methods would most likely not be able to demonstrate an increase incidence in health statistics….” “….does not rule out the possibility of future excess cancer….”
(UNSCEAR 2013 Annex A Paragraph 219)
UNSCEAR assessment of health effects and inferred risks
Implications for solid tumours
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Exposed population Baseline risk (lifetime) Dose Attributable risk (lifetime) Impact on health statistics Main determinant
- f impact level
Relative risk Absolute No cases General population 35% 1-10 mSv (First year) 0.01-0.1% Not discernible Low Children 35% 1-20 mSv (First year) 0.02-0.5% Not discernible Low Source: ARPANSA, based on UNSCEAR 2013
Implications for thyroid cancer in children
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Exposed population Baseline risk (lifetime) Dose Attributable risk Impact on health statistics Main determinant of impact level Relative risk Notional cases ~ 35 000 children 0-5y
0.5% 45-55 mGy ~0.15%
Indeterminate Medium Several tens
“Information on dose distribution and uncertainties was not sufficient for the Committee to draw firm conclusions as to whether any potential increased incidence of thyroid cancer would be discernible among those exposed to higher thyroid doses during infancy and childhood.” UNSCEAR 2013 ANNEX A Paragraph 175
Source: ARPANSA, based on UNSCEAR 2013
Health implications for emergency workers
Exposed group (percentage of workforce) Exposure estimates Risk estimation Disease incidence Nearly 25 000 (99.3%) Effective dose less than 100 mSv. Average about 10 mSv Infer a small increased risk to individuals exposed No discernible excess incidence of cancer at these levels 173 (0.7%) Effective doses 100 mSv or more. Average about 140 mSv Increased risk of cancer expected Unlikely that any increased incidence in cancer from irradiation would be discernible 2 000 (8.1%) Absorbed dose to thyroid more than 100 mGy . Average about 400 mGy Infer small increased risk of thyroid cancer Risk likely too small for any increase to be discernible among this size of population 12 (0.05%) Absorbed dose to thyroid of 2-12 Gy. Average about 5 Gy Low risk of hypothyroidism. Risk of thyroid cancer enhanced Numbers likely too small to discern an increased incidence in thyroid cancer
Source: ARPANSA, based on UNSCEAR 2013
Summary of health outcomes due to radiation from accident
- Deterministic effects: Not observed, unlikely in future
- Cancer rates: Discernible increases not expected generally,
models imply risks may have increased
- Thyroid cancer: Uncertainties in dose distribution, warrants
follow-up
- Heritable effects: Not discernible
- Birth defects: No impact
- Workers: No discernible increase expected, though risks
increased, warrants follow-up among most exposed Conclusions apply to radiation effects only, but
- Large indirect impact on social and mental well-being
Source: ARPANSA, based on UNSCEAR 2013
Affected areas into the future
Source: ARPANSA, based on UNSCEAR 2013
Implications for Australia
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Source: ARPANSA
Dr Stephen Solomon Chief Radiation Health Scientist Radiation Health Services Branch Australian Radiation Protection and Nuclear Safety Agency 613 Lower Plenty Road, Yallambie, Victoria, 3085 AUSTRALIA email stephen.solomon@arpansa.gov.au web: http://www.arpansa.gov.au
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