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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 :

Sens (253 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        CAT_2017-01-22 79.16
2        CAT_2021-12-20 69.23
3        CAT_2021-11-15 59.77
4        CAT_2021-12-19 52.10
5        CAT_2020-11-05 48.99
6        CAT_2018-11-03 46.60
7        CAT_2017-01-17 45.26
8        CAT_2021-01-09 44.27
9        CAT_2021-04-25 40.05
10        CAT_2021-04-22 39.58
11        CAT_2018-06-03 38.15
12        CAT_2018-02-21 38.00
13        CAT_2021-06-14 37.09
14        CAT_2020-07-12 34.76
15        CAT_2021-05-28 34.55
16        CAT_2021-01-05 33.77
17        CAT_2018-05-05 31.80
18        CAT_2018-01-12 30.38
19        CAT_2020-05-13 29.91
20        CAT_2020-09-17 28.36
21        CAT_2020-01-20 27.66
22        CAT_2018-11-26 27.60
23        CAT_2021-11-23 26.80
24        CAT_2018-10-29 26.72
25        CAT_2018-10-18 26.70
26        CAT_2021-04-20 26.54
27        CAT_2021-07-20 26.10
28        CAT_2021-09-01 26.05
29        CAT_2020-03-31 25.01
30        CAT_2020-05-12 24.36
31        CAT_2017-07-17 24.31
32        CAT_2018-06-29 24.00
33        CAT_2017-08-27 23.71
34        CAT_2018-02-22 23.44
35        CAT_2021-03-07 22.88
36        CAT_2018-02-16 22.55
37        CAT_2020-04-14 22.40
38        CAT_2021-02-10 21.67
39        CAT_2021-03-08 21.46
40        CAT_2018-02-17 21.31
41        CAT_2020-03-20 20.97
42        CAT_2017-06-13 19.93
43        CAT_2017-11-15 19.26
44        CAT_2017-05-25 19.15
45        CAT_2020-04-09 19.05
46        CAT_2018-02-27 18.95
47        CAT_2018-09-02 18.79
48        CAT_2020-05-27 17.97
49        CAT_2021-09-21 17.47
50        CAT_2021-08-24 16.36
51        CAT_2018-07-13 16.32
52        CAT_2018-07-24 15.99
53        CAT_2020-03-30 14.85
54        CAT_2021-12-15 14.21
55        CAT_2021-11-03 13.82
56        CAT_2017-01-21 13.28
57        CAT_2020-05-14 13.25
58        CAT_2018-01-07 12.84
59        CAT_2017-09-23 12.70
60        CAT_2017-03-10 11.64
61        CAT_2018-10-21 11.38
62        CAT_2018-11-02 11.38
63        CAT_2021-09-06 11.35
64        CAT_2018-09-29 11.24
65        CAT_2021-06-22 11.24
66        CAT_2020-03-26 11.22
67        CAT_2020-03-27 10.86
68        CAT_2018-06-05 10.85
69        CAT_2018-10-19 10.76
70        CAT_2020-11-20 10.72
71        CAT_2018-06-04 10.21
72        CAT_2018-01-06 9.70
73        CAT_2021-09-20 9.65
74        CAT_2017-03-15 9.38
75        CAT_2017-08-06 9.16
76        CAT_2020-04-01 9.02
77        CAT_2017-09-22 8.97
78        CAT_2018-07-02 8.41
79        CAT_2020-09-20 8.08
80        CAT_2021-09-19 7.78
81        CAT_2018-09-15 7.70
82        CAT_2020-06-10 7.65
83        CAT_2018-10-28 7.58
84        CAT_2021-09-05 7.51
85        CAT_2018-04-11 7.33
86        CAT_2018-10-20 7.31
87        CAT_2017-02-10 7.28
88        CAT_2020-03-21 7.08
89        CAT_2020-01-05 6.99
90        CAT_2018-12-14 6.56
91        CAT_2021-12-16 6.02
92        CAT_2020-05-20 5.88
93        CAT_2020-10-12 5.86
94        CAT_2018-12-31 5.76
95        CAT_2017-04-20 5.71
96        CAT_2020-07-13 5.68
97        CAT_2021-01-04 5.49
98        CAT_2018-03-17 5.32
99        CAT_2017-02-07 5.31
100        CAT_2018-04-16 5.25
101        CAT_2020-04-22 5.23
102        CAT_2021-09-16 5.07
103        CAT_2021-04-27 4.88
104        CAT_2021-02-09 4.81
105        CAT_2018-02-26 4.79
106        CAT_2018-02-19 4.69
107        CAT_2020-03-19 4.60
108        CAT_2020-05-26 4.53
109        CAT_2018-07-18 4.48
110        CAT_2017-08-07 4.40
111        CAT_2018-07-20 4.34
112        CAT_2021-10-08 4.33
113        CAT_2017-05-04 4.32
114        CAT_2021-10-10 4.31
115        CAT_2018-05-21 4.19
116        CAT_2018-07-14 4.19
117        CAT_2020-08-04 4.15
118        CAT_2021-04-15 4.04
119        CAT_2018-07-23 4.03
120        CAT_2021-01-15 4.00
121        CAT_2018-09-01 3.95
122        CAT_2017-11-07 3.77
123        CAT_2018-07-25 3.75
124        CAT_2017-06-19 3.72
125        CAT_2021-01-31 3.65
126        CAT_2017-02-09 3.56
127        CAT_2017-02-05 3.54
128        CAT_2021-04-16 3.52
129        CAT_2018-02-23 3.51
130        CAT_2018-08-03 3.51
131        CAT_2018-02-05 3.42
132        CAT_2017-07-13 3.27
133        CAT_2021-09-18 3.26
134        CAT_2021-07-22 2.98
135        CAT_2020-04-19 2.94
136        CAT_2020-07-22 2.91
137        CAT_2018-05-08 2.88
138        CAT_2017-02-04 2.84
139        CAT_2020-06-02 2.76
140        CAT_2021-01-14 2.73
141        CAT_2020-09-19 2.72
142        CAT_2021-09-22 2.50
143        CAT_2017-06-01 2.46
144        CAT_2018-09-25 2.40
145        CAT_2021-10-06 2.37
146        CAT_2018-10-16 2.36
147        CAT_2020-06-23 2.34
148        CAT_2017-01-18 2.33
149        CAT_2021-02-07 2.32
150        CAT_2018-10-17 2.29
151        CAT_2017-02-18 2.22
152        CAT_2017-05-09 2.15
153        CAT_2017-05-06 2.11
154        CAT_2020-04-18 2.08
155        CAT_2020-06-01 2.03
156        CAT_2021-04-24 2.00
157        CAT_2021-04-26 1.97
158        CAT_2021-02-05 1.95
159        CAT_2021-10-05 1.93
160        CAT_2018-07-19 1.89
161        CAT_2018-11-19 1.89
162        CAT_2017-01-06 1.82
163        CAT_2020-05-03 1.77
164        CAT_2020-05-06 1.76
165        CAT_2017-02-08 1.75
166        CAT_2020-10-17 1.71
167        CAT_2018-04-21 1.66
168        CAT_2017-07-09 1.63
169        CAT_2021-10-09 1.63
170        CAT_2020-04-08 1.57
171        CAT_2020-08-10 1.53
172        CAT_2018-06-12 1.50
173        CAT_2020-04-23 1.50
174        CAT_2018-04-12 1.49
175        CAT_2018-10-08 1.48
176        CAT_2018-04-20 1.47
177        CAT_2017-08-10 1.40
178        CAT_2017-12-01 1.40
179        CAT_2017-05-15 1.39
180        CAT_2021-04-23 1.29
181        CAT_2021-04-21 1.24
182        CAT_2018-07-15 1.21
183        CAT_2018-08-05 1.15
184        CAT_2020-05-15 1.15
185        CAT_2020-09-10 1.15
186        CAT_2021-12-04 1.14
187        CAT_2018-03-24 1.09
188        CAT_2021-02-27 1.02
189        CAT_2021-04-13 0.96
190        CAT_2021-12-17 0.94
191        CAT_2018-03-18 0.88
192        CAT_2020-06-22 0.86
193        CAT_2021-11-26 0.85
194        CAT_2018-02-03 0.81
195        CAT_2017-12-10 0.78
196        CAT_2021-07-24 0.72
197        CAT_2021-11-08 0.69
198        CAT_2021-01-10 0.61
199        CAT_2021-08-21 0.61
200        CAT_2021-08-25 0.59
201        CAT_2018-03-16 0.56
202        CAT_2018-05-20 0.56
203        CAT_2018-10-15 0.56
204        CAT_2017-05-02 0.55
205        CAT_2017-08-09 0.55
206        CAT_2018-03-01 0.55
207        CAT_2021-07-23 0.53
208        CAT_2018-04-29 0.52
209        CAT_2020-05-11 0.51
210        CAT_2021-11-22 0.50
211        CAT_2018-05-07 0.45
212        CAT_2018-06-02 0.42
213        CAT_2021-11-14 0.42
214        CAT_2021-02-11 0.41
215        CAT_2017-12-11 0.38
216        CAT_2020-05-10 0.36
217        CAT_2021-02-08 0.32
218        CAT_2018-03-30 0.29
219        CAT_2020-01-22 0.26
220        CAT_2017-07-08 0.24
221        CAT_2020-04-17 0.13
222        CAT_2018-06-10 0.10
223        CAT_2020-03-18 0.08
224        CAT_2017-01-01 0.00
225        CAT_2017-01-02 0.00
226        CAT_2017-01-03 0.00
227        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