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List of data         Methodology         Legal limit for radiation dose

Major accident in one of the four reactors of Cattenom NPP (4 × 3817 MWth)

Possible impact on the inhabitants of :

Charleroi (170 km) BEL

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        CAT_2020-01-01 153.29
2        CAT_2018-11-15 118.45
3        CAT_2020-12-08 114.96
4        CAT_2021-10-24 107.15
5        CAT_2020-11-27 98.60
6        CAT_2018-09-26 94.09
7        CAT_2018-12-25 89.63
8        CAT_2018-11-04 84.08
9        CAT_2018-11-23 75.95
10        CAT_2020-09-14 72.96
11        CAT_2018-11-22 71.28
12        CAT_2020-04-05 67.47
13        CAT_2017-05-27 62.10
14        CAT_2020-02-07 60.76
15        CAT_2020-04-08 56.22
16        CAT_2018-11-05 55.65
17        CAT_2017-08-29 53.89
18        CAT_2017-03-11 53.16
19        CAT_2017-08-23 50.39
20        CAT_2020-10-02 46.55
21        CAT_2017-01-26 46.14
22        CAT_2018-05-27 45.72
23        CAT_2017-03-12 44.79
24        CAT_2018-03-24 43.21
25        CAT_2017-02-11 42.74
26        CAT_2018-10-16 42.69
27        CAT_2020-08-06 39.63
28        CAT_2017-05-03 39.32
29        CAT_2018-09-16 38.70
30        CAT_2018-04-19 36.94
31        CAT_2020-08-09 34.60
32        CAT_2017-04-30 34.42
33        CAT_2021-12-26 33.64
34        CAT_2020-06-26 31.57
35        CAT_2018-11-06 30.77
36        CAT_2020-09-19 30.53
37        CAT_2017-07-06 29.73
38        CAT_2017-03-16 29.70
39        CAT_2018-05-24 29.63
40        CAT_2018-08-06 26.96
41        CAT_2018-02-19 26.59
42        CAT_2017-02-14 26.13
43        CAT_2017-08-25 25.97
44        CAT_2017-06-01 25.54
45        CAT_2021-02-14 25.01
46        CAT_2017-02-12 24.82
47        CAT_2020-07-31 24.70
48        CAT_2017-05-17 24.14
49        CAT_2020-06-12 24.11
50        CAT_2020-12-06 23.29
51        CAT_2018-07-27 22.97
52        CAT_2021-06-02 22.75
53        CAT_2020-11-28 21.88
54        CAT_2017-01-21 20.67
55        CAT_2018-03-03 20.47
56        CAT_2018-05-11 20.24
57        CAT_2018-01-09 19.90
58        CAT_2021-10-16 19.31
59        CAT_2018-10-05 18.65
60        CAT_2017-08-28 18.63
61        CAT_2021-03-02 17.74
62        CAT_2018-01-14 17.51
63        CAT_2018-07-03 16.60
64        CAT_2021-07-24 15.91
65        CAT_2021-10-23 15.44
66        CAT_2020-09-13 15.12
67        CAT_2017-04-08 14.55
68        CAT_2017-09-26 14.53
69        CAT_2020-08-12 14.00
70        CAT_2018-08-29 13.65
71        CAT_2017-02-01 11.63
72        CAT_2021-10-17 10.82
73        CAT_2020-01-05 9.57
74        CAT_2021-01-31 8.71
75        CAT_2017-05-10 8.70
76        CAT_2018-01-10 8.10
77        CAT_2017-02-06 7.84
78        CAT_2021-11-13 7.76
79        CAT_2018-11-02 7.64
80        CAT_2020-05-09 7.55
81        CAT_2018-03-15 7.35
82        CAT_2018-11-21 7.32
83        CAT_2017-01-06 6.79
84        CAT_2021-11-10 6.67
85        CAT_2017-02-05 6.66
86        CAT_2017-05-21 6.59
87        CAT_2021-09-14 6.55
88        CAT_2017-03-10 6.44
89        CAT_2018-05-12 6.26
90        CAT_2020-08-10 6.26
91        CAT_2021-06-25 6.22
92        CAT_2018-10-15 6.09
93        CAT_2021-06-15 5.97
94        CAT_2020-04-10 5.86
95        CAT_2018-10-09 5.70
96        CAT_2021-09-12 5.63
97        CAT_2018-04-10 5.58
98        CAT_2021-07-12 5.43
99        CAT_2018-11-16 5.42
100        CAT_2017-05-22 5.39
101        CAT_2017-08-07 5.30
102        CAT_2020-08-15 5.28
103        CAT_2021-09-03 5.22
104        CAT_2020-04-17 4.77
105        CAT_2017-12-11 4.76
106        CAT_2017-04-29 4.71
107        CAT_2021-03-30 4.71
108        CAT_2018-04-12 4.66
109        CAT_2018-07-02 4.66
110        CAT_2021-12-10 4.61
111        CAT_2017-05-15 4.58
112        CAT_2020-08-11 4.52
113        CAT_2021-02-07 4.50
114        CAT_2021-06-14 4.43
115        CAT_2018-07-26 4.40
116        CAT_2021-06-26 4.18
117        CAT_2017-08-21 4.07
118        CAT_2020-04-11 3.99
119        CAT_2017-06-21 3.67
120        CAT_2020-09-21 3.62
121        CAT_2017-08-22 3.60
122        CAT_2018-04-06 3.40
123        CAT_2020-11-09 3.40
124        CAT_2017-08-09 3.16
125        CAT_2018-04-21 3.16
126        CAT_2021-11-09 3.12
127        CAT_2017-06-27 3.10
128        CAT_2017-03-23 3.08
129        CAT_2017-02-04 3.03
130        CAT_2017-10-31 2.96
131        CAT_2021-06-27 2.94
132        CAT_2018-02-17 2.81
133        CAT_2017-05-20 2.79
134        CAT_2017-11-15 2.78
135        CAT_2020-05-07 2.52
136        CAT_2018-09-15 2.49
137        CAT_2018-08-09 2.45
138        CAT_2018-08-28 2.42
139        CAT_2021-04-27 2.39
140        CAT_2017-08-06 2.34
141        CAT_2017-09-03 2.25
142        CAT_2018-05-08 2.22
143        CAT_2018-02-18 2.07
144        CAT_2018-10-08 2.07
145        CAT_2021-10-06 1.96
146        CAT_2018-03-02 1.86
147        CAT_2020-08-08 1.86
148        CAT_2021-12-25 1.83
149        CAT_2017-06-13 1.80
150        CAT_2017-08-14 1.76
151        CAT_2018-12-15 1.74
152        CAT_2018-04-09 1.71
153        CAT_2017-05-02 1.70
154        CAT_2018-08-05 1.67
155        CAT_2020-10-12 1.61
156        CAT_2017-09-27 1.60
157        CAT_2018-04-20 1.60
158        CAT_2018-07-25 1.44
159        CAT_2017-01-31 1.42
160        CAT_2021-02-05 1.28
161        CAT_2018-03-01 1.27
162        CAT_2020-08-04 1.23
163        CAT_2021-08-21 1.18
164        CAT_2020-08-07 1.15
165        CAT_2020-07-29 1.11
166        CAT_2017-02-10 1.08
167        CAT_2020-04-03 1.08
168        CAT_2020-04-09 1.06
169        CAT_2018-05-23 1.05
170        CAT_2017-06-20 1.03
171        CAT_2017-02-08 1.02
172        CAT_2018-05-28 0.97
173        CAT_2021-06-22 0.97
174        CAT_2018-07-20 0.96
175        CAT_2017-07-08 0.95
176        CAT_2020-04-07 0.95
177        CAT_2017-02-18 0.88
178        CAT_2018-03-23 0.84
179        CAT_2018-03-30 0.83
180        CAT_2021-01-30 0.82
181        CAT_2021-09-13 0.75
182        CAT_2018-11-24 0.72
183        CAT_2018-04-11 0.69
184        CAT_2018-03-14 0.64
185        CAT_2017-07-17 0.60
186        CAT_2020-04-04 0.55
187        CAT_2021-02-04 0.49
188        CAT_2017-07-09 0.48
189        CAT_2020-05-20 0.48
190        CAT_2020-05-08 0.47
191        CAT_2021-07-11 0.42
192        CAT_2017-04-28 0.40
193        CAT_2018-02-03 0.38
194        CAT_2018-04-17 0.38
195        CAT_2021-12-04 0.38
196        CAT_2020-12-09 0.29
197        CAT_2018-03-16 0.28
198        CAT_2018-06-10 0.28
199        CAT_2018-05-07 0.23
200        CAT_2017-07-05 0.22
201        CAT_2021-11-26 0.22
202        CAT_2017-01-01 0.00
203        CAT_2017-01-02 0.00
204        CAT_2017-01-03 0.00
205        CAT_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 Cattenom, the following localities are ranked according to the severity of the health impact in decreasing order: Junglinster →N (LUX)         Fisch →NE (DEU)         Mechern →E (DEU)         Ottonville →SE (FRA)         Metz →S (FRA)         Valleroy →SW (FRA)         Ville‑au‑Montois →W (FRA)         Hivange →NW (LUX)         Esch‑sur‑Alzette (LUX)         Luxembourg (LUX)         Differdange (LUX)         Merzig (DEU)         Saarlouis (DEU)         Verdun (FRA)         Saarbrücken (DEU)         Nancy (FRA)         Koblenz (DEU)         Reims (FRA)         Liège (BEL)         Mannheim (DEU)         Maubeuge (FRA)         Namur (BEL)         Mons (BEL)         Strasbourg (FRA)         Charleroi (BEL)         Aachen (DEU)         Laon (FRA)         Troyes (FRA)         Château‑Thierry (FRA)         Maastricht (NLD)         Heidelberg (DEU)         Coulommiers (FRA)         Köln (DEU)         Valenciennes (FRA)         Épinal (FRA)         Soissons (FRA)         Romilly‑sur‑Seine (FRA)         Frankfurt am Main (DEU)         Colmar (FRA)         Provins (FRA)         Brussel (BEL)         Cambrai (FRA)         Saint‑Quentin (FRA)         Heilbronn (DEU)         Besançon (FRA)         Melun (FRA)         Pforzheim (DEU)         Compiègne (FRA)         Creil (FRA)         Stuttgart (DEU)         Lille (FRA)         Auxerre (FRA)         Gent (BEL)         Montdidier (FRA)         Sens (FRA)         Paris (FRA)         Freiburg im Breisgau (DEU)         Kortrijk (BEL)         Eindhoven (NLD)         Dijon (FRA)         Béthune (FRA)         Brugge (BEL)         Düsseldorf (DEU)         Fribourg (CHE)         Antwerpen (BEL)         Amiens (FRA)         Mulhouse (FRA)         Tilburg (NLD)         Dortmund (DEU)         Münster (DEU)         Ulm (DEU)         Beauvais (FRA)         Bielefeld (DEU)         Chartres (FRA)         Villach (AUT)         Oostende (BEL)         Hannover (DEU)         Utrecht (NLD)         Graz (AUT)         Duisburg (DEU)        

Potential impact of the cloud (inhalation) on the following areas: Europe (51 countries)         France         Germany & Austria         Luxembourg         Belgium & Netherlands         Italy         Switzerland         Spain


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.

See the details of the radioactive release taken into account for this plant (pdf)

Wikimedia map with modifications
Towns in the vicinity of Cattenom


Wikimedia map with modifications
The geographical location of Cattenom


Photo cropped from the work of Stefan Kühn, CC BY-SA 3.0, via Wikimedia Commons
Cattenom, France, pressurized water reactor (PWR), 4 × 3817 megawatts thermal (MWth)


The following maps give a brief overview of different situations and zoom function possibilities when maps are opened with Google Earth. They were generated with NOAA Hysplit software.
Cattenom (3817 MWth): 72h simulation starting on 02-01-2020
Cattenom (3817 MWth): 72h simulation starting on 17-06-2020
Cattenom (3817 MWth): 72h simulation starting on 29-11-2020