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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 :

Mende (100 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_2018-11-15 46.81
2        TRI_2018-09-05 37.04
3        TRI_2018-10-16 25.66
4        TRI_2017-03-26 25.47
5        TRI_2018-06-29 25.24
6        TRI_2018-04-12 20.10
7        TRI_2017-09-22 19.35
8        TRI_2018-04-19 18.55
9        TRI_2017-08-22 18.49
10        TRI_2018-09-25 18.02
11        TRI_2018-04-09 17.86
12        TRI_2018-04-20 17.75
13        TRI_2017-06-13 16.57
14        TRI_2018-11-22 16.17
15        TRI_2017-01-03 15.30
16        TRI_2018-04-28 15.28
17        TRI_2021-10-24 14.83
18        TRI_2018-02-16 14.17
19        TRI_2018-09-16 13.93
20        TRI_2021-04-26 13.87
21        TRI_2018-06-07 13.66
22        TRI_2018-12-13 13.50
23        TRI_2018-09-28 13.06
24        TRI_2018-01-08 12.59
25        TRI_2018-11-14 12.24
26        TRI_2018-11-16 11.24
27        TRI_2018-02-05 11.11
28        TRI_2018-01-24 10.84
29        TRI_2018-08-12 10.34
30        TRI_2021-09-03 10.23
31        TRI_2018-12-18 10.09
32        TRI_2018-11-20 9.19
33        TRI_2018-01-13 9.00
34        TRI_2018-02-28 8.80
35        TRI_2017-11-01 8.76
36        TRI_2018-03-04 8.53
37        TRI_2018-01-07 8.04
38        TRI_2018-11-21 7.94
39        TRI_2018-04-21 7.79
40        TRI_2017-10-31 6.95
41        TRI_2020-07-30 6.85
42        TRI_2018-09-09 6.62
43        TRI_2021-07-23 6.54
44        TRI_2018-09-04 6.51
45        TRI_2017-02-15 6.49
46        TRI_2018-05-21 6.44
47        TRI_2018-01-14 6.41
48        TRI_2017-09-26 6.40
49        TRI_2018-11-23 6.38
50        TRI_2020-04-07 6.30
51        TRI_2018-09-10 6.29
52        TRI_2020-04-13 6.27
53        TRI_2018-05-30 6.14
54        TRI_2018-11-08 5.74
55        TRI_2020-05-11 5.70
56        TRI_2021-03-01 5.66
57        TRI_2017-08-27 5.58
58        TRI_2018-11-19 5.44
59        TRI_2020-04-23 5.27
60        TRI_2017-08-28 5.22
61        TRI_2018-08-28 5.18
62        TRI_2020-04-09 4.89
63        TRI_2018-10-10 4.88
64        TRI_2018-06-02 4.55
65        TRI_2020-09-15 4.53
66        TRI_2020-09-04 4.50
67        TRI_2021-10-28 4.44
68        TRI_2021-03-26 4.41
69        TRI_2017-05-10 4.35
70        TRI_2021-08-12 4.34
71        TRI_2020-11-12 4.31
72        TRI_2020-05-29 4.29
73        TRI_2018-10-09 4.17
74        TRI_2020-05-04 4.04
75        TRI_2018-04-06 4.02
76        TRI_2021-05-30 3.98
77        TRI_2018-08-05 3.88
78        TRI_2020-04-19 3.80
79        TRI_2020-04-24 3.79
80        TRI_2020-11-28 3.74
81        TRI_2020-03-21 3.71
82        TRI_2018-10-11 3.65
83        TRI_2021-02-04 3.53
84        TRI_2018-04-27 3.49
85        TRI_2020-03-24 3.47
86        TRI_2018-03-24 3.45
87        TRI_2020-11-26 3.44
88        TRI_2018-05-28 3.42
89        TRI_2021-12-22 3.40
90        TRI_2020-11-27 3.39
91        TRI_2018-06-30 3.37
92        TRI_2017-06-08 3.36
93        TRI_2020-04-08 3.36
94        TRI_2020-03-23 3.32
95        TRI_2017-06-26 3.29
96        TRI_2021-12-17 3.28
97        TRI_2017-03-02 3.23
98        TRI_2018-04-18 3.09
99        TRI_2021-04-22 3.09
100        TRI_2021-04-23 3.09
101        TRI_2020-01-23 3.01
102        TRI_2020-11-06 3.01
103        TRI_2020-04-04 2.97
104        TRI_2020-04-22 2.96
105        TRI_2020-04-15 2.95
106        TRI_2017-10-13 2.91
107        TRI_2017-05-16 2.89
108        TRI_2021-10-17 2.87
109        TRI_2017-08-14 2.85
110        TRI_2020-05-28 2.79
111        TRI_2017-05-31 2.74
112        TRI_2017-07-04 2.71
113        TRI_2017-09-21 2.68
114        TRI_2021-04-21 2.66
115        TRI_2020-04-18 2.59
116        TRI_2018-06-01 2.56
117        TRI_2017-04-29 2.46
118        TRI_2017-09-27 2.46
119        TRI_2020-03-18 2.46
120        TRI_2020-02-06 2.43
121        TRI_2020-05-13 2.39
122        TRI_2020-10-19 2.34
123        TRI_2021-09-02 2.34
124        TRI_2020-01-24 2.33
125        TRI_2020-09-03 2.33
126        TRI_2020-02-15 2.27
127        TRI_2020-01-06 2.23
128        TRI_2018-10-04 2.19
129        TRI_2020-09-17 2.18
130        TRI_2020-03-30 2.15
131        TRI_2017-11-02 2.14
132        TRI_2021-01-19 2.14
133        TRI_2021-11-24 2.13
134        TRI_2020-03-15 2.09
135        TRI_2021-11-19 1.97
136        TRI_2021-04-20 1.94
137        TRI_2020-12-16 1.92
138        TRI_2017-07-29 1.87
139        TRI_2020-01-25 1.87
140        TRI_2017-08-07 1.80
141        TRI_2018-08-06 1.78
142        TRI_2020-04-10 1.74
143        TRI_2021-12-24 1.72
144        TRI_2021-10-27 1.71
145        TRI_2021-09-23 1.70
146        TRI_2017-05-05 1.68
147        TRI_2020-01-05 1.63
148        TRI_2018-10-05 1.56
149        TRI_2018-11-13 1.54
150        TRI_2021-04-25 1.54
151        TRI_2020-05-12 1.53
152        TRI_2018-01-10 1.52
153        TRI_2018-04-11 1.51
154        TRI_2021-09-06 1.50
155        TRI_2021-04-01 1.47
156        TRI_2018-06-04 1.45
157        TRI_2017-10-25 1.42
158        TRI_2020-07-29 1.40
159        TRI_2020-08-11 1.39
160        TRI_2020-01-16 1.38
161        TRI_2020-03-25 1.38
162        TRI_2021-09-24 1.37
163        TRI_2018-12-26 1.35
164        TRI_2018-10-28 1.34
165        TRI_2020-11-05 1.34
166        TRI_2017-03-30 1.32
167        TRI_2018-05-11 1.32
168        TRI_2020-08-07 1.30
169        TRI_2018-09-26 1.28
170        TRI_2020-04-21 1.27
171        TRI_2021-04-08 1.27
172        TRI_2021-07-22 1.27
173        TRI_2021-03-28 1.24
174        TRI_2017-06-18 1.23
175        TRI_2018-11-25 1.18
176        TRI_2017-04-24 1.16
177        TRI_2018-10-27 1.12
178        TRI_2017-06-01 1.10
179        TRI_2020-03-31 1.10
180        TRI_2020-05-27 1.10
181        TRI_2018-09-11 1.09
182        TRI_2018-05-01 1.08
183        TRI_2018-11-18 1.08
184        TRI_2017-01-02 1.06
185        TRI_2018-03-03 1.02
186        TRI_2017-04-08 1.00
187        TRI_2018-05-27 0.99
188        TRI_2018-09-03 0.99
189        TRI_2020-08-08 0.98
190        TRI_2021-10-18 0.90
191        TRI_2018-02-15 0.88
192        TRI_2018-05-20 0.87
193        TRI_2020-05-07 0.86
194        TRI_2017-11-03 0.83
195        TRI_2018-08-16 0.82
196        TRI_2017-07-21 0.81
197        TRI_2021-06-26 0.81
198        TRI_2020-08-06 0.80
199        TRI_2021-02-14 0.80
200        TRI_2021-08-31 0.80
201        TRI_2018-02-04 0.79
202        TRI_2018-07-26 0.79
203        TRI_2020-09-14 0.77
204        TRI_2017-11-05 0.76
205        TRI_2017-12-06 0.74
206        TRI_2018-08-04 0.74
207        TRI_2020-03-17 0.74
208        TRI_2020-03-22 0.72
209        TRI_2020-05-05 0.71
210        TRI_2018-05-07 0.69
211        TRI_2020-03-20 0.68
212        TRI_2017-03-25 0.67
213        TRI_2020-09-08 0.66
214        TRI_2021-09-05 0.65
215        TRI_2017-02-10 0.64
216        TRI_2018-11-03 0.64
217        TRI_2021-10-14 0.61
218        TRI_2017-04-07 0.59
219        TRI_2020-08-15 0.58
220        TRI_2018-09-27 0.57
221        TRI_2018-01-23 0.56
222        TRI_2021-11-25 0.56
223        TRI_2018-04-05 0.55
224        TRI_2017-08-13 0.54
225        TRI_2020-04-14 0.50
226        TRI_2021-06-15 0.49
227        TRI_2021-11-14 0.49
228        TRI_2018-12-30 0.48
229        TRI_2021-03-31 0.48
230        TRI_2021-10-22 0.48
231        TRI_2018-03-14 0.46
232        TRI_2017-12-23 0.45
233        TRI_2021-08-14 0.45
234        TRI_2021-03-27 0.44
235        TRI_2017-12-01 0.42
236        TRI_2017-04-01 0.41
237        TRI_2020-10-18 0.41
238        TRI_2017-05-04 0.40
239        TRI_2018-08-17 0.39
240        TRI_2018-11-17 0.39
241        TRI_2020-11-23 0.39
242        TRI_2018-05-10 0.38
243        TRI_2021-11-20 0.37
244        TRI_2017-02-14 0.36
245        TRI_2018-02-26 0.35
246        TRI_2020-01-13 0.34
247        TRI_2021-05-07 0.34
248        TRI_2017-05-09 0.31
249        TRI_2020-01-22 0.30
250        TRI_2020-06-23 0.30
251        TRI_2020-11-22 0.30
252        TRI_2020-05-14 0.29
253        TRI_2017-01-20 0.28
254        TRI_2020-07-19 0.28
255        TRI_2017-01-25 0.27
256        TRI_2018-02-27 0.26
257        TRI_2021-06-14 0.26
258        TRI_2018-10-07 0.24
259        TRI_2021-11-11 0.24
260        TRI_2017-04-23 0.23
261        TRI_2018-01-27 0.22
262        TRI_2017-05-24 0.21
263        TRI_2018-06-11 0.21
264        TRI_2018-07-12 0.20
265        TRI_2020-12-17 0.17
266        TRI_2017-01-26 0.14
267        TRI_2018-11-04 0.14
268        TRI_2021-03-06 0.14
269        TRI_2017-03-15 0.13
270        TRI_2017-07-16 0.12
271        TRI_2020-04-02 0.10
272        TRI_2018-04-01 0.08
273        TRI_2018-01-26 0.07
274        TRI_2021-05-08 0.06
275        TRI_2017-03-16 0.05
276        TRI_2017-01-01 0.00
277        TRI_2017-01-04 0.00
278        TRI_2017-01-05 0.00
279        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)