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

Possible impact on the inhabitants of :

Girona (305 km) ESP

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_2018-05-20 27.35
2        TRI_2021-11-25 22.98
3        TRI_2017-01-03 21.72
4        TRI_2018-09-04 21.08
5        TRI_2018-06-26 20.46
6        TRI_2018-10-19 20.20
7        TRI_2020-11-05 13.14
8        TRI_2021-09-22 12.76
9        TRI_2021-09-23 11.88
10        TRI_2021-07-28 11.36
11        TRI_2020-05-27 11.13
12        TRI_2017-06-18 10.60
13        TRI_2021-03-28 9.78
14        TRI_2018-10-18 9.12
15        TRI_2017-03-11 8.78
16        TRI_2020-05-25 8.62
17        TRI_2020-01-05 8.30
18        TRI_2021-09-01 7.92
19        TRI_2018-11-19 7.90
20        TRI_2018-05-18 7.79
21        TRI_2020-09-09 7.65
22        TRI_2020-09-13 7.65
23        TRI_2017-03-15 7.01
24        TRI_2018-10-17 6.81
25        TRI_2020-03-17 6.53
26        TRI_2017-05-25 6.01
27        TRI_2021-11-16 5.88
28        TRI_2020-01-08 5.47
29        TRI_2017-10-31 5.44
30        TRI_2017-04-20 5.22
31        TRI_2018-11-04 5.07
32        TRI_2018-07-30 4.94
33        TRI_2018-09-11 4.91
34        TRI_2018-10-08 4.54
35        TRI_2020-05-07 4.46
36        TRI_2021-04-04 4.46
37        TRI_2018-10-20 4.45
38        TRI_2020-11-21 4.45
39        TRI_2018-06-19 4.33
40        TRI_2020-03-31 4.32
41        TRI_2018-07-12 4.05
42        TRI_2018-10-04 3.98
43        TRI_2017-02-17 3.72
44        TRI_2020-09-08 3.67
45        TRI_2021-11-23 3.65
46        TRI_2018-09-09 3.50
47        TRI_2018-04-27 3.20
48        TRI_2018-09-25 3.15
49        TRI_2021-09-03 2.97
50        TRI_2018-01-27 2.92
51        TRI_2021-12-16 2.63
52        TRI_2020-11-03 2.48
53        TRI_2020-04-21 2.43
54        TRI_2020-09-15 2.43
55        TRI_2021-12-21 2.39
56        TRI_2021-02-12 2.35
57        TRI_2021-02-28 2.32
58        TRI_2018-05-06 2.30
59        TRI_2018-12-13 2.24
60        TRI_2021-10-14 2.24
61        TRI_2018-09-08 2.16
62        TRI_2020-11-29 2.14
63        TRI_2017-07-20 2.12
64        TRI_2017-09-21 2.12
65        TRI_2021-10-22 2.12
66        TRI_2021-01-10 2.06
67        TRI_2021-05-28 2.01
68        TRI_2018-02-04 1.91
69        TRI_2018-09-03 1.85
70        TRI_2021-07-20 1.83
71        TRI_2017-05-16 1.81
72        TRI_2021-10-27 1.79
73        TRI_2018-05-13 1.77
74        TRI_2020-08-08 1.77
75        TRI_2021-01-09 1.73
76        TRI_2017-08-13 1.72
77        TRI_2017-01-22 1.59
78        TRI_2021-07-04 1.59
79        TRI_2020-05-12 1.58
80        TRI_2018-08-18 1.54
81        TRI_2020-03-24 1.54
82        TRI_2020-03-26 1.52
83        TRI_2020-01-19 1.48
84        TRI_2018-09-10 1.47
85        TRI_2021-11-11 1.47
86        TRI_2018-05-05 1.43
87        TRI_2021-06-15 1.40
88        TRI_2018-12-30 1.37
89        TRI_2021-11-14 1.35
90        TRI_2018-10-07 1.32
91        TRI_2017-04-21 1.23
92        TRI_2021-04-02 1.20
93        TRI_2021-05-30 1.20
94        TRI_2020-01-20 1.17
95        TRI_2021-08-31 1.17
96        TRI_2020-05-13 1.14
97        TRI_2017-07-21 1.12
98        TRI_2020-05-29 1.12
99        TRI_2020-04-19 1.07
100        TRI_2018-07-29 1.06
101        TRI_2018-02-28 1.04
102        TRI_2017-04-07 1.02
103        TRI_2021-03-05 1.02
104        TRI_2018-04-14 0.99
105        TRI_2021-11-10 0.98
106        TRI_2020-04-14 0.97
107        TRI_2021-11-09 0.97
108        TRI_2021-02-26 0.91
109        TRI_2018-08-10 0.90
110        TRI_2017-01-19 0.89
111        TRI_2018-12-25 0.89
112        TRI_2017-05-24 0.88
113        TRI_2017-07-03 0.85
114        TRI_2018-08-17 0.84
115        TRI_2018-08-21 0.80
116        TRI_2020-04-22 0.80
117        TRI_2021-04-22 0.80
118        TRI_2017-04-01 0.79
119        TRI_2018-08-05 0.75
120        TRI_2017-10-04 0.73
121        TRI_2021-04-20 0.72
122        TRI_2020-04-20 0.70
123        TRI_2021-12-17 0.70
124        TRI_2020-08-06 0.69
125        TRI_2017-01-23 0.65
126        TRI_2021-11-12 0.65
127        TRI_2018-05-19 0.64
128        TRI_2018-06-23 0.63
129        TRI_2020-03-27 0.62
130        TRI_2021-02-27 0.62
131        TRI_2021-08-10 0.62
132        TRI_2018-02-05 0.60
133        TRI_2017-03-12 0.58
134        TRI_2018-06-28 0.58
135        TRI_2021-04-14 0.53
136        TRI_2020-05-05 0.52
137        TRI_2017-12-23 0.51
138        TRI_2021-10-25 0.48
139        TRI_2018-04-05 0.45
140        TRI_2017-08-21 0.42
141        TRI_2020-04-24 0.42
142        TRI_2020-05-16 0.42
143        TRI_2020-03-23 0.41
144        TRI_2020-05-26 0.41
145        TRI_2020-08-15 0.41
146        TRI_2017-09-26 0.39
147        TRI_2018-02-27 0.39
148        TRI_2017-11-05 0.36
149        TRI_2018-05-01 0.36
150        TRI_2017-06-08 0.34
151        TRI_2017-06-17 0.31
152        TRI_2020-04-12 0.31
153        TRI_2017-10-25 0.30
154        TRI_2018-06-25 0.30
155        TRI_2021-08-11 0.28
156        TRI_2018-04-17 0.27
157        TRI_2020-09-07 0.26
158        TRI_2018-08-04 0.25
159        TRI_2020-07-08 0.24
160        TRI_2021-03-06 0.24
161        TRI_2017-08-06 0.23
162        TRI_2021-11-13 0.23
163        TRI_2017-07-16 0.21
164        TRI_2020-07-29 0.20
165        TRI_2017-06-10 0.19
166        TRI_2020-03-30 0.19
167        TRI_2020-05-11 0.18
168        TRI_2021-07-03 0.18
169        TRI_2021-11-22 0.17
170        TRI_2017-06-13 0.12
171        TRI_2018-10-16 0.09
172        TRI_2020-04-13 0.07
173        TRI_2018-05-10 0.05
174        TRI_2017-01-01 0.00
175        TRI_2017-01-02 0.00
176        TRI_2017-01-04 0.00
177        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)