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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 :

Pinerolo (215 km) ITA

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_2020-12-24 80.43
2        TRI_2021-11-27 57.44
3        TRI_2020-05-05 36.57
4        TRI_2020-02-10 29.19
5        TRI_2020-10-31 29.11
6        TRI_2017-06-09 25.82
7        TRI_2021-10-21 23.85
8        TRI_2017-02-23 22.72
9        TRI_2020-09-23 22.59
10        TRI_2017-04-26 22.56
11        TRI_2017-11-08 22.08
12        TRI_2021-03-04 20.27
13        TRI_2020-01-13 19.90
14        TRI_2021-03-11 19.14
15        TRI_2020-07-21 18.61
16        TRI_2020-07-27 17.97
17        TRI_2020-04-01 17.80
18        TRI_2017-06-20 17.79
19        TRI_2020-10-05 17.11
20        TRI_2020-02-15 13.92
21        TRI_2017-02-03 13.91
22        TRI_2020-09-05 13.12
23        TRI_2020-01-06 13.09
24        TRI_2018-08-29 12.10
25        TRI_2021-05-06 11.98
26        TRI_2021-02-14 11.80
27        TRI_2020-07-10 11.66
28        TRI_2020-01-28 11.65
29        TRI_2021-12-28 11.54
30        TRI_2020-08-28 11.17
31        TRI_2017-01-03 11.08
32        TRI_2020-09-21 11.08
33        TRI_2020-12-21 10.78
34        TRI_2021-06-24 10.68
35        TRI_2020-01-26 10.62
36        TRI_2021-02-01 10.45
37        TRI_2020-06-13 10.27
38        TRI_2020-05-22 10.04
39        TRI_2020-11-01 9.88
40        TRI_2018-03-12 9.66
41        TRI_2018-01-30 9.40
42        TRI_2020-01-12 9.06
43        TRI_2020-01-03 8.90
44        TRI_2017-06-04 8.72
45        TRI_2020-05-23 8.52
46        TRI_2021-11-02 8.52
47        TRI_2021-12-25 8.44
48        TRI_2017-04-23 8.25
49        TRI_2020-05-04 8.04
50        TRI_2020-02-13 8.00
51        TRI_2018-08-13 7.81
52        TRI_2020-08-09 7.66
53        TRI_2020-11-18 7.56
54        TRI_2020-02-06 7.45
55        TRI_2021-01-19 7.21
56        TRI_2021-12-21 6.84
57        TRI_2017-03-19 6.81
58        TRI_2020-07-20 6.59
59        TRI_2021-02-08 6.46
60        TRI_2017-05-02 6.39
61        TRI_2017-02-05 6.18
62        TRI_2020-03-01 5.64
63        TRI_2017-06-28 5.63
64        TRI_2020-10-28 5.58
65        TRI_2021-05-24 5.56
66        TRI_2018-07-02 5.40
67        TRI_2017-02-21 5.34
68        TRI_2021-08-15 5.32
69        TRI_2020-10-04 5.25
70        TRI_2017-12-08 5.22
71        TRI_2021-05-16 5.10
72        TRI_2020-09-24 5.09
73        TRI_2020-04-30 4.94
74        TRI_2021-08-21 4.91
75        TRI_2017-07-07 4.78
76        TRI_2021-12-27 4.78
77        TRI_2020-05-01 4.61
78        TRI_2021-05-15 4.59
79        TRI_2020-06-27 4.49
80        TRI_2021-05-05 4.46
81        TRI_2020-10-06 4.40
82        TRI_2021-02-15 4.30
83        TRI_2020-02-27 4.25
84        TRI_2020-06-04 4.22
85        TRI_2021-12-10 4.18
86        TRI_2017-06-13 4.16
87        TRI_2017-03-05 4.15
88        TRI_2018-03-14 3.93
89        TRI_2020-07-31 3.79
90        TRI_2018-02-01 3.64
91        TRI_2020-06-09 3.60
92        TRI_2017-06-05 3.55
93        TRI_2021-05-31 3.55
94        TRI_2017-12-14 3.51
95        TRI_2017-06-22 3.49
96        TRI_2018-02-27 3.44
97        TRI_2021-08-03 3.37
98        TRI_2017-06-29 3.36
99        TRI_2021-06-23 3.17
100        TRI_2021-07-07 3.12
101        TRI_2018-05-23 3.06
102        TRI_2021-04-24 3.01
103        TRI_2021-07-27 2.95
104        TRI_2017-05-19 2.92
105        TRI_2017-10-08 2.92
106        TRI_2021-04-19 2.89
107        TRI_2017-06-21 2.85
108        TRI_2020-03-12 2.83
109        TRI_2020-08-19 2.83
110        TRI_2018-07-27 2.78
111        TRI_2017-04-09 2.71
112        TRI_2021-07-26 2.71
113        TRI_2017-04-22 2.68
114        TRI_2020-05-15 2.65
115        TRI_2021-09-06 2.64
116        TRI_2021-04-08 2.60
117        TRI_2017-09-14 2.59
118        TRI_2020-04-24 2.56
119        TRI_2020-06-28 2.53
120        TRI_2018-03-24 2.46
121        TRI_2017-08-23 2.43
122        TRI_2021-02-17 2.38
123        TRI_2021-09-26 2.35
124        TRI_2020-03-05 2.32
125        TRI_2020-06-02 2.30
126        TRI_2018-06-29 2.26
127        TRI_2021-09-18 2.25
128        TRI_2018-07-15 2.24
129        TRI_2018-07-20 2.23
130        TRI_2017-12-12 2.21
131        TRI_2021-05-11 2.20
132        TRI_2020-08-13 2.17
133        TRI_2021-11-01 2.13
134        TRI_2020-07-28 2.12
135        TRI_2021-03-25 2.09
136        TRI_2018-09-21 2.08
137        TRI_2017-06-06 2.04
138        TRI_2020-06-24 2.04
139        TRI_2021-05-08 2.01
140        TRI_2017-06-08 1.96
141        TRI_2021-06-26 1.96
142        TRI_2018-05-11 1.93
143        TRI_2017-12-24 1.91
144        TRI_2017-04-21 1.90
145        TRI_2017-11-05 1.90
146        TRI_2020-04-25 1.90
147        TRI_2018-01-16 1.89
148        TRI_2020-05-30 1.89
149        TRI_2017-12-07 1.88
150        TRI_2018-09-12 1.86
151        TRI_2017-06-11 1.85
152        TRI_2018-06-01 1.84
153        TRI_2017-05-22 1.83
154        TRI_2020-07-30 1.83
155        TRI_2017-06-19 1.82
156        TRI_2020-04-26 1.79
157        TRI_2021-08-30 1.78
158        TRI_2018-01-18 1.76
159        TRI_2017-05-21 1.74
160        TRI_2018-03-13 1.73
161        TRI_2020-08-10 1.72
162        TRI_2020-06-18 1.71
163        TRI_2020-09-30 1.71
164        TRI_2020-12-27 1.71
165        TRI_2021-06-29 1.58
166        TRI_2021-07-29 1.55
167        TRI_2018-08-12 1.51
168        TRI_2020-06-01 1.50
169        TRI_2021-08-07 1.49
170        TRI_2017-08-07 1.46
171        TRI_2018-05-31 1.43
172        TRI_2020-10-26 1.42
173        TRI_2017-06-25 1.40
174        TRI_2018-09-18 1.40
175        TRI_2017-04-13 1.38
176        TRI_2018-03-17 1.33
177        TRI_2018-01-04 1.28
178        TRI_2017-06-30 1.26
179        TRI_2020-10-18 1.26
180        TRI_2017-11-25 1.24
181        TRI_2021-03-31 1.18
182        TRI_2018-02-16 1.13
183        TRI_2020-04-22 1.12
184        TRI_2017-03-21 1.09
185        TRI_2021-05-22 1.07
186        TRI_2017-07-21 1.04
187        TRI_2017-08-02 1.03
188        TRI_2021-07-30 1.03
189        TRI_2018-09-05 1.01
190        TRI_2021-05-13 0.99
191        TRI_2017-02-20 0.98
192        TRI_2017-03-06 0.98
193        TRI_2017-09-13 0.98
194        TRI_2017-11-20 0.98
195        TRI_2018-05-14 0.98
196        TRI_2020-04-12 0.98
197        TRI_2020-08-14 0.98
198        TRI_2017-08-27 0.97
199        TRI_2021-08-06 0.97
200        TRI_2018-07-12 0.96
201        TRI_2017-03-16 0.94
202        TRI_2017-04-12 0.88
203        TRI_2018-07-28 0.87
204        TRI_2021-03-07 0.84
205        TRI_2017-03-02 0.83
206        TRI_2020-04-23 0.83
207        TRI_2021-08-05 0.83
208        TRI_2017-07-03 0.81
209        TRI_2017-05-03 0.80
210        TRI_2018-10-29 0.79
211        TRI_2018-05-08 0.78
212        TRI_2020-06-11 0.78
213        TRI_2021-06-22 0.76
214        TRI_2020-08-08 0.73
215        TRI_2017-08-18 0.71
216        TRI_2018-08-28 0.71
217        TRI_2018-10-24 0.71
218        TRI_2017-08-31 0.70
219        TRI_2018-05-13 0.70
220        TRI_2021-03-24 0.70
221        TRI_2017-12-06 0.69
222        TRI_2017-07-29 0.68
223        TRI_2018-09-17 0.67
224        TRI_2020-08-17 0.67
225        TRI_2017-06-12 0.66
226        TRI_2017-03-22 0.65
227        TRI_2018-05-07 0.65
228        TRI_2018-04-12 0.64
229        TRI_2017-05-04 0.62
230        TRI_2018-09-13 0.62
231        TRI_2021-09-23 0.62
232        TRI_2017-12-15 0.61
233        TRI_2017-06-14 0.60
234        TRI_2018-09-20 0.58
235        TRI_2017-07-11 0.57
236        TRI_2021-09-07 0.57
237        TRI_2020-01-02 0.56
238        TRI_2018-04-24 0.55
239        TRI_2020-05-11 0.54
240        TRI_2017-09-09 0.53
241        TRI_2017-04-10 0.49
242        TRI_2017-07-04 0.48
243        TRI_2018-04-25 0.47
244        TRI_2021-07-22 0.46
245        TRI_2021-02-09 0.45
246        TRI_2021-08-14 0.45
247        TRI_2017-06-24 0.44
248        TRI_2017-10-07 0.43
249        TRI_2020-07-01 0.43
250        TRI_2018-05-06 0.42
251        TRI_2018-07-19 0.42
252        TRI_2018-10-25 0.40
253        TRI_2021-09-19 0.37
254        TRI_2020-02-23 0.32
255        TRI_2017-07-27 0.31
256        TRI_2017-11-21 0.30
257        TRI_2018-03-28 0.30
258        TRI_2020-08-26 0.30
259        TRI_2021-07-10 0.29
260        TRI_2017-05-26 0.28
261        TRI_2020-05-12 0.28
262        TRI_2020-06-29 0.27
263        TRI_2021-08-12 0.25
264        TRI_2017-06-23 0.24
265        TRI_2020-07-29 0.24
266        TRI_2020-08-15 0.24
267        TRI_2021-08-29 0.24
268        TRI_2018-07-03 0.23
269        TRI_2021-07-04 0.23
270        TRI_2017-05-09 0.21
271        TRI_2018-09-03 0.20
272        TRI_2018-07-09 0.18
273        TRI_2020-07-19 0.18
274        TRI_2017-01-31 0.17
275        TRI_2021-08-13 0.13
276        TRI_2018-07-10 0.10
277        TRI_2018-06-08 0.09
278        TRI_2017-07-28 0.07
279        TRI_2018-01-29 0.06
280        TRI_2020-07-09 0.06
281        TRI_2018-07-18 0.04
282        TRI_2017-01-01 0.00
283        TRI_2017-01-02 0.00
284        TRI_2017-01-04 0.00
285        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)