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List of data         Methodology         Legal limit for radiation dose

Major accident in one of the four reactors of Tricastin NPP (4 × 2785 MWth)

Possible impact on the inhabitants of :

Carcassonne (228 km) FRA

Maps of Individual committed effective doses received by inhabitants during the passage of the radioactive cloud (inhalation):
1° Each row of the table represents a different meteorological situation.
2° The hyperlink enables access to the related map.
Maps visible with free Google Earth software! Alternatively, after downloading a map file in KML format, go to google.com/earth/, launch Google Earth, click on "project" then on "open"!
Rank, NPP code, date mSv
1        TRI_2018-12-26 73.33
2        TRI_2018-10-17 30.48
3        TRI_2018-11-19 30.27
4        TRI_2018-02-04 23.06
5        TRI_2018-10-19 22.37
6        TRI_2017-12-06 21.09
7        TRI_2018-05-20 21.04
8        TRI_2018-09-11 19.25
9        TRI_2018-06-20 17.84
10        TRI_2018-09-04 16.05
11        TRI_2017-11-03 15.19
12        TRI_2021-07-22 14.50
13        TRI_2017-10-25 14.27
14        TRI_2021-12-24 14.17
15        TRI_2021-12-18 13.55
16        TRI_2021-09-23 13.51
17        TRI_2018-10-18 11.98
18        TRI_2017-10-31 11.17
19        TRI_2020-09-13 11.05
20        TRI_2021-11-23 10.41
21        TRI_2020-11-24 10.36
22        TRI_2021-12-22 9.86
23        TRI_2018-06-26 8.96
24        TRI_2021-10-24 8.73
25        TRI_2017-01-21 8.71
26        TRI_2020-02-15 8.64
27        TRI_2017-06-08 7.68
28        TRI_2020-05-29 7.51
29        TRI_2020-11-05 7.47
30        TRI_2020-05-07 7.07
31        TRI_2020-09-09 6.94
32        TRI_2018-12-13 6.76
33        TRI_2020-03-17 6.73
34        TRI_2018-08-28 6.51
35        TRI_2020-08-06 6.12
36        TRI_2020-08-15 6.12
37        TRI_2018-11-21 6.10
38        TRI_2021-08-10 5.99
39        TRI_2021-01-19 5.90
40        TRI_2017-08-22 5.80
41        TRI_2020-05-25 5.80
42        TRI_2020-05-14 5.65
43        TRI_2017-01-22 5.52
44        TRI_2020-07-19 5.37
45        TRI_2020-03-31 5.33
46        TRI_2021-04-22 5.26
47        TRI_2017-06-13 5.03
48        TRI_2018-09-10 5.02
49        TRI_2021-03-28 4.92
50        TRI_2018-11-22 4.80
51        TRI_2021-11-11 4.55
52        TRI_2018-10-16 4.51
53        TRI_2020-01-13 4.39
54        TRI_2021-11-25 4.25
55        TRI_2021-01-09 4.24
56        TRI_2020-05-27 4.15
57        TRI_2021-09-01 4.00
58        TRI_2018-11-18 3.82
59        TRI_2018-10-04 3.74
60        TRI_2021-10-27 3.60
61        TRI_2020-02-06 3.53
62        TRI_2018-05-28 3.47
63        TRI_2021-10-14 3.47
64        TRI_2017-01-20 3.28
65        TRI_2018-04-18 3.24
66        TRI_2021-02-04 3.22
67        TRI_2018-06-01 3.21
68        TRI_2020-09-17 3.18
69        TRI_2017-01-19 3.15
70        TRI_2017-06-18 3.07
71        TRI_2020-01-21 2.97
72        TRI_2018-02-05 2.91
73        TRI_2021-06-15 2.81
74        TRI_2020-06-23 2.80
75        TRI_2017-04-21 2.78
76        TRI_2017-05-05 2.67
77        TRI_2018-10-08 2.61
78        TRI_2017-05-16 2.56
79        TRI_2018-11-04 2.55
80        TRI_2021-12-17 2.49
81        TRI_2020-09-03 2.45
82        TRI_2017-05-25 2.43
83        TRI_2018-11-15 2.41
84        TRI_2021-09-22 2.39
85        TRI_2021-12-21 2.39
86        TRI_2017-01-03 2.37
87        TRI_2020-05-12 2.36
88        TRI_2018-10-09 2.35
89        TRI_2021-07-04 2.24
90        TRI_2020-04-13 2.20
91        TRI_2018-12-18 2.13
92        TRI_2018-01-13 2.08
93        TRI_2017-09-26 2.07
94        TRI_2018-02-28 2.06
95        TRI_2020-09-15 2.02
96        TRI_2018-08-05 1.86
97        TRI_2021-09-03 1.85
98        TRI_2021-03-06 1.84
99        TRI_2021-11-19 1.82
100        TRI_2021-10-16 1.80
101        TRI_2021-05-30 1.71
102        TRI_2020-04-14 1.69
103        TRI_2021-11-24 1.68
104        TRI_2020-04-21 1.65
105        TRI_2020-07-29 1.63
106        TRI_2017-03-16 1.62
107        TRI_2020-11-23 1.62
108        TRI_2020-03-23 1.57
109        TRI_2020-10-19 1.57
110        TRI_2021-08-31 1.50
111        TRI_2021-02-28 1.47
112        TRI_2018-01-24 1.41
113        TRI_2020-11-28 1.37
114        TRI_2020-05-26 1.33
115        TRI_2020-11-03 1.33
116        TRI_2020-01-05 1.31
117        TRI_2021-07-20 1.27
118        TRI_2017-05-24 1.26
119        TRI_2018-09-25 1.24
120        TRI_2020-11-12 1.23
121        TRI_2021-07-21 1.20
122        TRI_2021-11-09 1.19
123        TRI_2020-05-04 1.14
124        TRI_2018-05-19 1.12
125        TRI_2020-09-08 1.12
126        TRI_2018-06-19 1.11
127        TRI_2020-04-12 1.11
128        TRI_2020-05-11 1.09
129        TRI_2018-01-08 1.07
130        TRI_2020-03-24 1.07
131        TRI_2018-08-12 1.06
132        TRI_2021-08-12 1.05
133        TRI_2021-02-27 1.04
134        TRI_2020-11-22 1.02
135        TRI_2018-09-09 1.00
136        TRI_2020-09-07 1.00
137        TRI_2017-07-16 0.99
138        TRI_2018-06-28 0.99
139        TRI_2017-09-21 0.98
140        TRI_2017-08-13 0.95
141        TRI_2020-03-25 0.92
142        TRI_2020-08-08 0.91
143        TRI_2018-11-13 0.90
144        TRI_2018-04-12 0.86
145        TRI_2018-12-30 0.85
146        TRI_2018-11-20 0.84
147        TRI_2017-01-26 0.83
148        TRI_2018-04-05 0.83
149        TRI_2021-10-17 0.82
150        TRI_2020-05-13 0.80
151        TRI_2018-01-27 0.79
152        TRI_2017-02-15 0.78
153        TRI_2021-12-20 0.78
154        TRI_2017-06-26 0.76
155        TRI_2021-02-26 0.74
156        TRI_2017-04-07 0.71
157        TRI_2018-12-25 0.71
158        TRI_2020-11-27 0.70
159        TRI_2021-04-20 0.68
160        TRI_2021-11-16 0.68
161        TRI_2017-10-13 0.67
162        TRI_2018-02-27 0.66
163        TRI_2018-11-14 0.66
164        TRI_2021-07-18 0.66
165        TRI_2017-11-05 0.64
166        TRI_2018-11-03 0.64
167        TRI_2020-01-08 0.63
168        TRI_2018-11-08 0.57
169        TRI_2018-04-27 0.56
170        TRI_2017-07-03 0.55
171        TRI_2021-10-15 0.54
172        TRI_2018-11-17 0.53
173        TRI_2020-01-12 0.53
174        TRI_2020-11-17 0.53
175        TRI_2021-09-12 0.52
176        TRI_2021-10-25 0.51
177        TRI_2017-03-15 0.49
178        TRI_2017-08-21 0.49
179        TRI_2017-10-24 0.46
180        TRI_2020-02-14 0.43
181        TRI_2020-04-04 0.43
182        TRI_2021-03-26 0.43
183        TRI_2018-10-28 0.42
184        TRI_2017-07-29 0.39
185        TRI_2018-02-26 0.38
186        TRI_2020-01-22 0.38
187        TRI_2018-09-03 0.35
188        TRI_2017-05-09 0.34
189        TRI_2020-05-05 0.34
190        TRI_2021-05-28 0.32
191        TRI_2017-05-03 0.30
192        TRI_2017-06-09 0.30
193        TRI_2020-04-24 0.29
194        TRI_2021-07-19 0.29
195        TRI_2018-10-07 0.28
196        TRI_2017-06-11 0.25
197        TRI_2020-05-28 0.25
198        TRI_2021-04-21 0.23
199        TRI_2017-04-20 0.22
200        TRI_2018-11-16 0.22
201        TRI_2017-04-29 0.21
202        TRI_2021-04-01 0.21
203        TRI_2021-10-22 0.21
204        TRI_2017-06-17 0.20
205        TRI_2017-09-25 0.20
206        TRI_2020-08-05 0.20
207        TRI_2017-04-01 0.18
208        TRI_2017-07-04 0.17
209        TRI_2020-07-28 0.15
210        TRI_2021-12-16 0.15
211        TRI_2018-08-17 0.13
212        TRI_2020-03-30 0.13
213        TRI_2021-10-26 0.11
214        TRI_2020-03-29 0.10
215        TRI_2020-11-11 0.09
216        TRI_2020-03-14 0.08
217        TRI_2020-03-18 0.08
218        TRI_2018-05-13 0.07
219        TRI_2020-11-04 0.07
220        TRI_2017-11-02 0.05
221        TRI_2017-01-01 0.00
222        TRI_2017-01-02 0.00
223        TRI_2017-01-04 0.00
224        TRI_2017-01-05 0.00


  See additional explanation after the below links
The first 8 localities are placed according to 8 cardinal points at about 30 km from Tricastin, the following localities are ranked according to the severity of the health impact in decreasing order: Meisse →N (FRA)         Dieulefit →NE (FRA)         Nyons →E (FRA)         Gigondas →SE (FRA)         St‑Geniès →S (FRA)         Fontarèches →SE (FRA)         Vagnas →W (FRA)         St‑Maurice d'Ardèche →NW (FRA)         Orange (FRA)         Montélimar (FRA)         Avignon (FRA)         Arles (FRA)         Privas (FRA)         Nîmes (FRA)         Valence (FRA)         Istres (FRA)         St‑Rambert‑d'Albon (FRA)         Vienne (FRA)         Aix‑en‑Provence (FRA)         Annonay (FRA)         Alès (FRA)         Marseille (FRA)         Villefranche‑sur‑Saône (FRA)         Lyon (FRA)         Cannes (FRA)         Mâcon (FRA)         Montpellier (FRA)         Bourgoin‑Jallieu (FRA)         Annecy (FRA)         Toulon (FRA)         Sanremo (ITA)         Nice (FRA)         Saint‑Tropez (FRA)         Feurs (FRA)         Cuneo (ITA)         Draguignan (FRA)         Genève (CHE)         Béziers (FRA)         St‑Étienne (FRA)         Monaco (MCO)         Lausanne (CHE)         Sisteron (FRA)         Roanne (FRA)         Torino (ITA)         Perpignan (FRA)         Pinerolo (ITA)         Bourg‑en‑Bresse (FRA)         Châtillon‑en‑Diois (FRA)         Issoire (FRA)         Grenoble (FRA)         Figueras (ESP)         Neuchâtel (CHE)         Alessandria (ITA)         Carcassonne (FRA)         Mende (FRA)         Bellegarde‑sur‑Valserine (FRA)         Digne (FRA)         Le Puy (FRA)         Chignin (FRA)         Vichy (FRA)         Pisa (ITA)         Gap (FRA)         Fribourg (CHE)         Savona (ITA)         Bologna (ITA)         Mulhouse (FRA)         Albi (FRA)         L'Alpe d'Huez (FRA)         Alba (ITA)         Dijon (FRA)         Bern (CHE)         Strasbourg (FRA)         Moulins (FRA)         Girona (ESP)         Genoa (ITA)         St‑Jean‑de‑Maurienne (FRA)         Nancy (FRA)         La Spezia (ITA)         Rodez (FRA)         Clermont‑Ferrand (FRA)        

See the potential impact on the following geographical areas:          Europe (51 countries)         Spain          France          Italy          Switzerland 


ADDITIONAL EXPLANATION ON THE TABLE
1° The radioactivity comes from the passage of the cloud in the hours following an accident;
2° The above individual doses do not include soil irradiation or ingestion of contaminated food after the passage of the cloud;
3° These figures are estimates;
4° SEE COMMENTARY ON LOW AND HIGH DOSES.

5° The calculations are not derived using the map in the illustration, but from another map – of the same format as the one for download on our website to study deposition – which explains some discrepancies between the figure and its illustration.
6° The analysis of the 11 situations producing the maximum fallout allows us to establish the highest risk for a given city, i.e., the consequences of weather situations occurring in 1% of the cases.
7° The above data allow for the identification of the meteorological conditions that would have the worst impact on the area in question, as well as those that would keep radioactivity away. In the event of a major accident at the nuclear power plant concerned, a quick comparison of this analysis with the then prevailing meteorological conditions could be very useful to act as decentralized as possible; local authorities could keep these analyses as ready references to better and more rapidly deploy population protection strategies.




Photo cropped from the work of Marianne Casamance, CC BY-SA 4.0, via Wikimedia Commons
Tricastin, France, pressurized water reactor (PWR), 4 × 2785 megawatts thermal (MWth)