Symbol of the Biosphere, the logo of the Biosphere Institute was designed to acknowledge that humans belong to this singular organism.
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 :

Moulins (271 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_2020-08-11 28.02
2        TRI_2017-01-28 26.96
3        TRI_2020-01-24 24.60
4        TRI_2021-03-01 24.42
5        TRI_2020-11-26 18.97
6        TRI_2018-11-17 15.41
7        TRI_2021-09-07 12.13
8        TRI_2020-11-12 11.98
9        TRI_2020-05-31 11.94
10        TRI_2018-05-27 11.85
11        TRI_2020-11-27 11.85
12        TRI_2021-09-02 11.62
13        TRI_2018-04-08 9.93
14        TRI_2020-06-12 9.18
15        TRI_2021-04-24 7.60
16        TRI_2020-04-08 7.56
17        TRI_2020-02-06 7.46
18        TRI_2021-12-22 7.05
19        TRI_2017-05-26 6.79
20        TRI_2017-03-04 6.77
21        TRI_2018-10-31 6.73
22        TRI_2021-10-28 6.44
23        TRI_2017-05-10 6.28
24        TRI_2017-05-31 6.25
25        TRI_2020-06-24 6.21
26        TRI_2020-11-23 5.92
27        TRI_2017-07-17 5.79
28        TRI_2020-11-06 5.66
29        TRI_2018-09-25 5.51
30        TRI_2021-04-25 5.50
31        TRI_2018-11-06 5.48
32        TRI_2017-06-01 5.42
33        TRI_2018-11-21 5.41
34        TRI_2021-09-03 5.31
35        TRI_2018-10-15 5.27
36        TRI_2021-10-27 5.23
37        TRI_2018-06-03 5.05
38        TRI_2017-02-12 4.99
39        TRI_2018-06-30 4.87
40        TRI_2021-04-21 4.80
41        TRI_2018-01-14 4.77
42        TRI_2017-02-14 4.76
43        TRI_2018-11-23 4.76
44        TRI_2018-05-25 4.47
45        TRI_2021-03-29 4.26
46        TRI_2021-09-24 4.14
47        TRI_2017-11-03 4.13
48        TRI_2017-03-30 4.02
49        TRI_2018-12-18 3.97
50        TRI_2020-04-15 3.93
51        TRI_2020-09-20 3.92
52        TRI_2018-11-13 3.90
53        TRI_2020-09-17 3.78
54        TRI_2020-08-10 3.73
55        TRI_2020-05-04 3.64
56        TRI_2021-12-24 3.62
57        TRI_2018-07-01 3.60
58        TRI_2021-09-06 3.59
59        TRI_2020-01-25 3.43
60        TRI_2018-12-26 3.19
61        TRI_2017-07-04 3.14
62        TRI_2020-12-16 3.09
63        TRI_2021-02-04 3.03
64        TRI_2017-04-29 2.93
65        TRI_2021-10-18 2.80
66        TRI_2020-04-04 2.75
67        TRI_2017-05-09 2.72
68        TRI_2018-05-30 2.71
69        TRI_2017-07-31 2.70
70        TRI_2021-12-17 2.69
71        TRI_2021-02-05 2.60
72        TRI_2020-03-15 2.43
73        TRI_2018-08-28 2.41
74        TRI_2017-05-05 2.40
75        TRI_2020-09-13 2.30
76        TRI_2018-01-13 2.28
77        TRI_2020-06-01 2.26
78        TRI_2018-11-05 2.20
79        TRI_2021-10-30 2.08
80        TRI_2020-05-11 2.05
81        TRI_2020-04-07 2.04
82        TRI_2020-10-19 2.04
83        TRI_2021-09-05 2.01
84        TRI_2018-06-02 1.98
85        TRI_2020-03-18 1.95
86        TRI_2020-05-07 1.87
87        TRI_2020-06-23 1.87
88        TRI_2018-06-09 1.86
89        TRI_2018-04-18 1.85
90        TRI_2021-03-31 1.82
91        TRI_2017-10-13 1.79
92        TRI_2021-01-19 1.74
93        TRI_2017-09-28 1.72
94        TRI_2017-02-13 1.69
95        TRI_2018-05-24 1.64
96        TRI_2018-11-22 1.64
97        TRI_2020-03-21 1.64
98        TRI_2020-03-24 1.64
99        TRI_2018-01-24 1.63
100        TRI_2021-07-22 1.63
101        TRI_2020-02-15 1.59
102        TRI_2018-11-08 1.52
103        TRI_2017-01-25 1.50
104        TRI_2018-11-14 1.49
105        TRI_2018-03-24 1.48
106        TRI_2018-04-12 1.44
107        TRI_2018-06-29 1.43
108        TRI_2018-04-09 1.42
109        TRI_2021-05-31 1.42
110        TRI_2017-06-08 1.39
111        TRI_2020-07-30 1.38
112        TRI_2020-01-13 1.37
113        TRI_2020-06-11 1.37
114        TRI_2017-07-07 1.34
115        TRI_2021-06-27 1.31
116        TRI_2021-04-29 1.28
117        TRI_2018-12-13 1.25
118        TRI_2021-12-21 1.22
119        TRI_2018-04-06 1.20
120        TRI_2021-07-23 1.20
121        TRI_2018-04-27 1.19
122        TRI_2018-09-28 1.18
123        TRI_2018-03-01 1.17
124        TRI_2018-06-07 1.17
125        TRI_2020-09-08 1.16
126        TRI_2021-10-17 1.14
127        TRI_2017-02-15 1.13
128        TRI_2017-05-04 1.11
129        TRI_2018-05-26 1.10
130        TRI_2018-10-04 1.10
131        TRI_2021-05-30 1.09
132        TRI_2020-05-13 1.08
133        TRI_2020-08-07 1.07
134        TRI_2020-01-12 1.03
135        TRI_2020-04-10 1.03
136        TRI_2021-09-23 1.03
137        TRI_2020-11-24 1.02
138        TRI_2017-03-26 1.00
139        TRI_2020-12-07 1.00
140        TRI_2020-01-23 0.99
141        TRI_2017-05-30 0.97
142        TRI_2018-11-15 0.95
143        TRI_2020-04-11 0.95
144        TRI_2020-03-19 0.94
145        TRI_2020-03-20 0.94
146        TRI_2018-10-06 0.93
147        TRI_2017-11-01 0.91
148        TRI_2017-10-31 0.90
149        TRI_2018-11-03 0.87
150        TRI_2020-04-14 0.87
151        TRI_2021-03-28 0.85
152        TRI_2018-01-08 0.81
153        TRI_2020-09-15 0.81
154        TRI_2017-11-02 0.79
155        TRI_2018-04-28 0.76
156        TRI_2020-07-29 0.76
157        TRI_2017-07-05 0.75
158        TRI_2017-03-15 0.74
159        TRI_2020-09-14 0.73
160        TRI_2017-07-03 0.72
161        TRI_2020-04-13 0.70
162        TRI_2017-03-22 0.69
163        TRI_2021-04-23 0.69
164        TRI_2018-11-25 0.66
165        TRI_2021-02-22 0.66
166        TRI_2017-07-08 0.63
167        TRI_2018-04-19 0.62
168        TRI_2018-04-20 0.57
169        TRI_2020-04-25 0.57
170        TRI_2020-04-06 0.56
171        TRI_2018-02-27 0.53
172        TRI_2018-02-28 0.51
173        TRI_2018-04-05 0.44
174        TRI_2017-06-20 0.43
175        TRI_2017-03-02 0.41
176        TRI_2018-11-04 0.41
177        TRI_2017-08-28 0.38
178        TRI_2017-06-18 0.36
179        TRI_2018-03-14 0.36
180        TRI_2021-02-09 0.36
181        TRI_2021-04-08 0.36
182        TRI_2020-01-08 0.33
183        TRI_2018-08-05 0.29
184        TRI_2021-05-07 0.26
185        TRI_2018-09-16 0.24
186        TRI_2020-09-04 0.23
187        TRI_2021-06-15 0.23
188        TRI_2021-10-24 0.23
189        TRI_2020-02-14 0.22
190        TRI_2017-08-23 0.21
191        TRI_2018-01-05 0.21
192        TRI_2020-03-23 0.20
193        TRI_2020-12-17 0.18
194        TRI_2018-01-10 0.15
195        TRI_2017-05-03 0.14
196        TRI_2017-08-22 0.13
197        TRI_2021-08-31 0.12
198        TRI_2020-05-12 0.11
199        TRI_2017-08-26 0.10
200        TRI_2018-01-23 0.10
201        TRI_2018-11-20 0.10
202        TRI_2020-01-16 0.09
203        TRI_2020-05-10 0.07
204        TRI_2020-08-09 0.06
205        TRI_2017-01-01 0.00
206        TRI_2017-01-02 0.00
207        TRI_2017-01-03 0.00
208        TRI_2017-01-04 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)