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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 :

Béziers (162 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 98.86
2        TRI_2017-01-03 76.08
3        TRI_2017-03-16 75.79
4        TRI_2018-10-19 57.62
5        TRI_2017-11-03 49.87
6        TRI_2017-12-06 39.79
7        TRI_2021-02-04 38.10
8        TRI_2018-06-20 35.59
9        TRI_2021-12-24 35.59
10        TRI_2018-02-16 32.50
11        TRI_2020-08-06 32.19
12        TRI_2017-08-22 32.11
13        TRI_2018-02-04 31.93
14        TRI_2017-06-13 27.22
15        TRI_2021-10-24 27.09
16        TRI_2018-09-04 26.65
17        TRI_2018-09-11 26.49
18        TRI_2018-08-28 26.05
19        TRI_2017-07-21 24.44
20        TRI_2021-09-23 23.08
21        TRI_2020-11-12 23.05
22        TRI_2017-05-05 22.67
23        TRI_2020-11-22 22.63
24        TRI_2021-01-19 22.23
25        TRI_2018-11-22 18.88
26        TRI_2021-12-22 18.83
27        TRI_2018-11-19 18.39
28        TRI_2018-10-17 17.69
29        TRI_2017-10-13 17.53
30        TRI_2021-04-23 16.47
31        TRI_2021-11-25 15.78
32        TRI_2021-10-14 15.70
33        TRI_2021-02-12 15.23
34        TRI_2020-05-04 15.01
35        TRI_2021-08-10 14.72
36        TRI_2021-10-27 14.45
37        TRI_2018-11-16 14.31
38        TRI_2018-04-18 14.11
39        TRI_2020-05-14 13.81
40        TRI_2018-06-26 13.28
41        TRI_2020-11-24 13.02
42        TRI_2018-01-24 12.72
43        TRI_2018-05-20 12.35
44        TRI_2020-02-15 12.26
45        TRI_2018-08-12 11.96
46        TRI_2017-06-26 11.83
47        TRI_2018-01-13 11.77
48        TRI_2017-04-21 11.59
49        TRI_2017-02-15 11.42
50        TRI_2021-12-18 11.23
51        TRI_2018-11-14 11.15
52        TRI_2018-02-28 10.88
53        TRI_2017-10-31 10.73
54        TRI_2018-12-13 10.54
55        TRI_2018-11-18 10.43
56        TRI_2021-07-22 10.25
57        TRI_2018-10-16 10.24
58        TRI_2017-06-08 10.23
59        TRI_2020-05-25 9.84
60        TRI_2020-06-23 9.10
61        TRI_2018-09-05 9.00
62        TRI_2020-11-27 8.80
63        TRI_2021-07-21 8.75
64        TRI_2020-02-06 8.48
65        TRI_2017-02-17 8.45
66        TRI_2018-12-18 8.41
67        TRI_2018-09-10 8.32
68        TRI_2017-09-21 8.11
69        TRI_2021-01-09 8.08
70        TRI_2018-11-21 8.06
71        TRI_2018-08-16 7.84
72        TRI_2021-11-24 7.79
73        TRI_2021-12-21 7.61
74        TRI_2018-11-15 7.59
75        TRI_2021-12-17 7.51
76        TRI_2018-04-12 7.49
77        TRI_2018-05-06 7.34
78        TRI_2020-11-28 7.23
79        TRI_2020-03-25 7.22
80        TRI_2020-07-19 7.06
81        TRI_2020-11-23 6.80
82        TRI_2021-09-03 6.61
83        TRI_2017-01-20 6.59
84        TRI_2020-05-07 6.58
85        TRI_2020-05-13 6.51
86        TRI_2018-10-09 6.29
87        TRI_2018-09-28 6.20
88        TRI_2020-09-15 6.18
89        TRI_2020-08-15 6.09
90        TRI_2020-01-06 5.98
91        TRI_2017-05-16 5.89
92        TRI_2021-11-11 5.86
93        TRI_2020-09-03 5.75
94        TRI_2017-09-26 5.72
95        TRI_2020-03-17 5.66
96        TRI_2017-06-18 5.56
97        TRI_2020-03-18 5.39
98        TRI_2017-09-22 5.25
99        TRI_2021-11-20 5.25
100        TRI_2020-01-13 5.17
101        TRI_2017-10-04 5.04
102        TRI_2018-05-28 4.97
103        TRI_2020-10-19 4.95
104        TRI_2020-01-21 4.84
105        TRI_2018-09-03 4.80
106        TRI_2018-06-19 4.78
107        TRI_2017-01-26 4.75
108        TRI_2018-10-04 4.68
109        TRI_2020-04-04 4.57
110        TRI_2020-05-27 4.53
111        TRI_2021-05-30 4.51
112        TRI_2020-11-05 4.35
113        TRI_2018-08-05 4.26
114        TRI_2018-09-25 4.21
115        TRI_2017-04-29 4.17
116        TRI_2020-07-29 4.17
117        TRI_2021-04-22 4.14
118        TRI_2017-11-01 4.09
119        TRI_2018-07-26 4.02
120        TRI_2017-02-25 4.01
121        TRI_2018-10-08 3.92
122        TRI_2018-07-29 3.87
123        TRI_2020-12-17 3.83
124        TRI_2020-09-08 3.75
125        TRI_2021-09-01 3.71
126        TRI_2021-03-26 3.67
127        TRI_2021-09-22 3.67
128        TRI_2020-04-21 3.64
129        TRI_2018-06-01 3.61
130        TRI_2018-11-08 3.50
131        TRI_2020-09-09 3.44
132        TRI_2020-09-13 3.41
133        TRI_2021-11-23 3.40
134        TRI_2017-01-21 3.39
135        TRI_2017-07-04 3.37
136        TRI_2021-07-19 3.25
137        TRI_2020-01-24 3.21
138        TRI_2018-06-02 3.20
139        TRI_2018-09-09 3.16
140        TRI_2017-05-24 3.12
141        TRI_2018-10-18 3.08
142        TRI_2020-03-31 3.05
143        TRI_2018-04-27 3.01
144        TRI_2020-01-23 2.87
145        TRI_2020-01-05 2.85
146        TRI_2017-04-20 2.76
147        TRI_2020-01-22 2.70
148        TRI_2018-01-27 2.60
149        TRI_2021-02-28 2.57
150        TRI_2018-11-20 2.56
151        TRI_2020-05-29 2.51
152        TRI_2018-09-16 2.45
153        TRI_2020-01-12 2.43
154        TRI_2020-09-16 2.41
155        TRI_2017-01-19 2.38
156        TRI_2020-09-17 2.37
157        TRI_2017-04-01 2.36
158        TRI_2021-03-23 2.26
159        TRI_2017-05-25 2.18
160        TRI_2021-07-20 2.16
161        TRI_2018-02-05 2.13
162        TRI_2021-11-19 2.13
163        TRI_2021-10-17 1.99
164        TRI_2021-05-28 1.97
165        TRI_2018-11-13 1.94
166        TRI_2021-03-28 1.94
167        TRI_2017-05-03 1.92
168        TRI_2021-01-04 1.90
169        TRI_2021-06-14 1.90
170        TRI_2021-10-25 1.83
171        TRI_2018-08-04 1.82
172        TRI_2018-04-19 1.72
173        TRI_2020-03-24 1.72
174        TRI_2017-04-08 1.67
175        TRI_2020-04-19 1.65
176        TRI_2021-10-15 1.65
177        TRI_2020-08-08 1.62
178        TRI_2020-01-20 1.60
179        TRI_2018-08-17 1.54
180        TRI_2020-11-17 1.52
181        TRI_2021-06-15 1.52
182        TRI_2020-05-12 1.45
183        TRI_2021-12-20 1.40
184        TRI_2021-08-12 1.37
185        TRI_2021-10-22 1.34
186        TRI_2017-02-16 1.33
187        TRI_2020-12-31 1.30
188        TRI_2021-08-24 1.28
189        TRI_2017-03-15 1.25
190        TRI_2018-12-30 1.24
191        TRI_2021-09-02 1.21
192        TRI_2017-07-20 1.20
193        TRI_2018-01-08 1.20
194        TRI_2020-03-26 1.18
195        TRI_2020-03-15 1.17
196        TRI_2018-04-05 1.15
197        TRI_2021-11-16 1.12
198        TRI_2017-04-07 1.11
199        TRI_2020-04-07 1.06
200        TRI_2020-05-11 1.04
201        TRI_2018-11-25 1.01
202        TRI_2020-11-04 0.98
203        TRI_2017-07-29 0.97
204        TRI_2018-05-31 0.97
205        TRI_2020-04-14 0.96
206        TRI_2017-01-02 0.93
207        TRI_2017-06-09 0.92
208        TRI_2018-11-17 0.92
209        TRI_2018-05-30 0.91
210        TRI_2021-07-04 0.89
211        TRI_2020-01-08 0.88
212        TRI_2020-03-23 0.83
213        TRI_2020-10-31 0.83
214        TRI_2017-08-21 0.80
215        TRI_2021-02-14 0.77
216        TRI_2018-07-15 0.76
217        TRI_2021-04-21 0.76
218        TRI_2017-07-03 0.75
219        TRI_2017-05-09 0.74
220        TRI_2021-04-02 0.73
221        TRI_2020-01-02 0.70
222        TRI_2021-11-14 0.69
223        TRI_2018-05-07 0.66
224        TRI_2021-04-04 0.65
225        TRI_2018-06-28 0.64
226        TRI_2020-05-28 0.61
227        TRI_2021-05-29 0.61
228        TRI_2017-05-04 0.60
229        TRI_2017-03-12 0.59
230        TRI_2017-11-05 0.59
231        TRI_2017-10-25 0.55
232        TRI_2017-08-06 0.53
233        TRI_2017-08-13 0.53
234        TRI_2018-08-10 0.53
235        TRI_2017-08-07 0.50
236        TRI_2018-02-27 0.50
237        TRI_2018-03-24 0.50
238        TRI_2021-04-20 0.49
239        TRI_2017-06-20 0.48
240        TRI_2021-08-31 0.48
241        TRI_2021-09-12 0.48
242        TRI_2018-06-04 0.47
243        TRI_2018-02-26 0.43
244        TRI_2020-04-12 0.41
245        TRI_2020-08-05 0.41
246        TRI_2018-04-20 0.39
247        TRI_2018-07-14 0.38
248        TRI_2020-05-05 0.34
249        TRI_2021-06-26 0.31
250        TRI_2021-10-26 0.31
251        TRI_2018-07-30 0.30
252        TRI_2020-09-06 0.30
253        TRI_2017-04-30 0.25
254        TRI_2017-01-25 0.24
255        TRI_2020-11-03 0.24
256        TRI_2021-03-27 0.24
257        TRI_2017-11-02 0.23
258        TRI_2018-05-08 0.21
259        TRI_2018-11-03 0.21
260        TRI_2020-09-07 0.21
261        TRI_2021-02-27 0.21
262        TRI_2020-03-29 0.20
263        TRI_2021-04-08 0.18
264        TRI_2018-10-28 0.17
265        TRI_2020-08-13 0.17
266        TRI_2020-04-13 0.16
267        TRI_2021-04-01 0.15
268        TRI_2018-01-26 0.14
269        TRI_2020-03-13 0.14
270        TRI_2020-03-30 0.14
271        TRI_2021-05-08 0.14
272        TRI_2020-07-28 0.11
273        TRI_2021-09-24 0.11
274        TRI_2017-05-21 0.10
275        TRI_2020-02-14 0.10
276        TRI_2021-05-07 0.09
277        TRI_2018-05-13 0.07
278        TRI_2018-05-19 0.04
279        TRI_2017-01-01 0.00
280        TRI_2017-01-04 0.00
281        TRI_2017-01-05 0.00
282        TRI_2017-01-06 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)