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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 :

Stuttgart (226 km) DEU

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_2017-05-18 97.30
2        CAT_2020-10-12 73.95
3        CAT_2018-06-19 65.14
4        CAT_2017-05-02 63.97
5        CAT_2021-01-01 55.83
6        CAT_2020-10-18 46.81
7        CAT_2020-12-09 46.16
8        CAT_2021-07-09 42.22
9        CAT_2021-12-11 39.68
10        CAT_2017-02-17 39.50
11        CAT_2020-06-20 38.10
12        CAT_2021-06-24 37.09
13        CAT_2020-06-22 35.87
14        CAT_2017-09-19 34.68
15        CAT_2020-10-10 34.03
16        CAT_2020-07-29 33.00
17        CAT_2017-11-09 32.01
18        CAT_2018-06-02 32.01
19        CAT_2020-06-15 31.70
20        CAT_2017-07-25 31.16
21        CAT_2018-12-11 30.90
22        CAT_2018-09-06 30.87
23        CAT_2018-02-03 30.33
24        CAT_2017-01-15 29.37
25        CAT_2018-04-13 28.43
26        CAT_2021-08-01 26.93
27        CAT_2017-06-12 26.67
28        CAT_2018-12-10 26.57
29        CAT_2017-09-20 26.36
30        CAT_2021-01-06 26.28
31        CAT_2020-07-07 23.92
32        CAT_2017-03-07 23.79
33        CAT_2020-03-07 23.73
34        CAT_2018-04-16 23.51
35        CAT_2017-04-21 21.30
36        CAT_2021-06-25 20.91
37        CAT_2020-08-31 20.18
38        CAT_2017-10-06 20.13
39        CAT_2017-01-08 19.87
40        CAT_2018-06-21 19.73
41        CAT_2017-04-16 19.53
42        CAT_2021-06-12 19.04
43        CAT_2021-05-07 18.96
44        CAT_2021-10-12 18.71
45        CAT_2021-07-02 17.86
46        CAT_2021-01-17 17.59
47        CAT_2017-06-16 17.56
48        CAT_2020-07-06 17.02
49        CAT_2021-08-16 16.90
50        CAT_2020-01-04 16.74
51        CAT_2018-05-10 16.67
52        CAT_2018-12-30 16.67
53        CAT_2018-08-19 16.65
54        CAT_2018-04-09 16.58
55        CAT_2018-11-02 16.55
56        CAT_2021-11-04 16.26
57        CAT_2018-12-28 15.85
58        CAT_2020-12-01 15.74
59        CAT_2017-06-20 14.89
60        CAT_2020-06-17 14.25
61        CAT_2020-10-11 13.54
62        CAT_2020-04-03 13.42
63        CAT_2018-02-12 13.34
64        CAT_2021-02-26 13.25
65        CAT_2017-06-04 12.69
66        CAT_2017-01-31 12.52
67        CAT_2017-07-02 11.74
68        CAT_2021-11-05 11.73
69        CAT_2017-07-26 11.61
70        CAT_2017-12-04 11.40
71        CAT_2018-08-20 11.38
72        CAT_2020-07-15 11.18
73        CAT_2020-02-03 11.08
74        CAT_2020-03-03 10.94
75        CAT_2020-09-05 10.84
76        CAT_2018-08-30 10.71
77        CAT_2021-07-08 10.54
78        CAT_2021-11-19 10.53
79        CAT_2021-12-14 10.49
80        CAT_2021-04-06 10.38
81        CAT_2017-12-18 10.18
82        CAT_2021-10-15 10.00
83        CAT_2018-10-24 9.74
84        CAT_2017-11-08 9.63
85        CAT_2017-04-14 9.14
86        CAT_2018-06-08 9.12
87        CAT_2017-12-22 8.86
88        CAT_2020-07-14 8.62
89        CAT_2021-01-18 8.42
90        CAT_2021-11-28 8.42
91        CAT_2018-05-28 8.12
92        CAT_2018-05-13 7.57
93        CAT_2020-08-30 7.52
94        CAT_2017-11-19 7.48
95        CAT_2017-04-22 7.46
96        CAT_2020-09-09 7.45
97        CAT_2018-01-26 7.28
98        CAT_2020-02-28 7.26
99        CAT_2021-04-07 7.26
100        CAT_2017-01-10 7.09
101        CAT_2021-02-08 6.98
102        CAT_2018-03-31 6.95
103        CAT_2017-04-13 6.93
104        CAT_2017-02-18 6.83
105        CAT_2020-08-14 6.53
106        CAT_2021-11-21 6.49
107        CAT_2017-09-30 6.46
108        CAT_2018-06-14 6.26
109        CAT_2021-05-12 6.20
110        CAT_2018-07-17 6.05
111        CAT_2021-11-03 5.73
112        CAT_2021-12-10 5.72
113        CAT_2021-12-25 5.72
114        CAT_2020-06-16 5.70
115        CAT_2020-02-21 5.62
116        CAT_2017-05-15 5.48
117        CAT_2017-01-02 5.38
118        CAT_2018-09-15 5.37
119        CAT_2020-07-20 5.32
120        CAT_2020-04-02 5.30
121        CAT_2017-07-05 5.23
122        CAT_2020-09-02 5.22
123        CAT_2021-11-17 5.01
124        CAT_2018-12-29 4.78
125        CAT_2020-06-13 4.66
126        CAT_2018-04-21 4.64
127        CAT_2021-01-13 4.56
128        CAT_2017-06-21 4.44
129        CAT_2018-12-04 4.42
130        CAT_2020-06-14 4.40
131        CAT_2021-08-14 4.40
132        CAT_2021-11-20 4.36
133        CAT_2017-07-04 4.29
134        CAT_2020-12-31 4.20
135        CAT_2021-08-23 4.13
136        CAT_2020-12-13 4.09
137        CAT_2020-09-29 4.07
138        CAT_2018-03-01 3.99
139        CAT_2018-09-14 3.97
140        CAT_2018-08-17 3.96
141        CAT_2018-06-07 3.92
142        CAT_2020-12-08 3.90
143        CAT_2017-11-30 3.87
144        CAT_2018-10-29 3.81
145        CAT_2018-10-23 3.73
146        CAT_2017-12-20 3.66
147        CAT_2018-07-19 3.61
148        CAT_2020-12-02 3.56
149        CAT_2020-08-01 3.54
150        CAT_2021-08-20 3.51
151        CAT_2017-06-26 3.37
152        CAT_2017-12-09 3.32
153        CAT_2021-10-06 3.20
154        CAT_2021-02-07 3.19
155        CAT_2018-08-23 3.14
156        CAT_2017-04-28 3.07
157        CAT_2020-06-07 2.95
158        CAT_2018-03-16 2.90
159        CAT_2017-05-20 2.85
160        CAT_2017-10-08 2.77
161        CAT_2018-09-28 2.75
162        CAT_2017-09-22 2.71
163        CAT_2018-07-16 2.70
164        CAT_2018-07-14 2.66
165        CAT_2020-07-21 2.61
166        CAT_2018-05-31 2.60
167        CAT_2020-02-04 2.58
168        CAT_2017-01-06 2.54
169        CAT_2021-01-31 2.48
170        CAT_2021-01-30 2.47
171        CAT_2017-03-14 2.45
172        CAT_2017-08-27 2.44
173        CAT_2017-11-16 2.42
174        CAT_2018-06-20 2.39
175        CAT_2018-10-03 2.32
176        CAT_2020-07-24 2.30
177        CAT_2020-07-23 2.28
178        CAT_2018-09-05 2.27
179        CAT_2018-08-15 2.19
180        CAT_2018-10-15 2.18
181        CAT_2017-05-06 2.17
182        CAT_2021-01-25 2.15
183        CAT_2017-07-14 2.14
184        CAT_2017-01-09 2.13
185        CAT_2018-07-31 2.08
186        CAT_2017-12-17 2.06
187        CAT_2018-07-02 2.05
188        CAT_2018-07-12 2.05
189        CAT_2018-07-20 2.02
190        CAT_2021-06-23 2.02
191        CAT_2017-03-15 2.01
192        CAT_2021-03-10 2.01
193        CAT_2020-07-13 2.00
194        CAT_2020-11-23 1.98
195        CAT_2017-06-10 1.93
196        CAT_2018-10-06 1.81
197        CAT_2020-07-03 1.80
198        CAT_2018-09-13 1.79
199        CAT_2020-04-23 1.72
200        CAT_2020-07-18 1.72
201        CAT_2020-09-14 1.68
202        CAT_2018-03-26 1.67
203        CAT_2018-09-04 1.55
204        CAT_2020-04-18 1.52
205        CAT_2017-02-24 1.51
206        CAT_2017-03-21 1.46
207        CAT_2020-04-12 1.45
208        CAT_2017-08-09 1.38
209        CAT_2017-08-11 1.35
210        CAT_2020-05-23 1.33
211        CAT_2020-04-17 1.31
212        CAT_2017-10-29 1.29
213        CAT_2020-06-02 1.27
214        CAT_2021-01-08 1.26
215        CAT_2017-12-10 1.24
216        CAT_2018-08-22 1.23
217        CAT_2021-08-28 1.21
218        CAT_2018-09-26 1.17
219        CAT_2017-01-14 1.16
220        CAT_2020-12-26 1.15
221        CAT_2017-07-09 1.13
222        CAT_2018-01-30 1.13
223        CAT_2021-03-09 1.13
224        CAT_2017-06-13 1.12
225        CAT_2020-09-11 1.11
226        CAT_2017-07-08 1.08
227        CAT_2018-08-16 1.05
228        CAT_2017-08-24 1.01
229        CAT_2021-03-21 1.01
230        CAT_2018-07-15 1.00
231        CAT_2017-07-13 0.97
232        CAT_2017-01-07 0.96
233        CAT_2017-08-10 0.95
234        CAT_2017-12-11 0.95
235        CAT_2021-04-11 0.93
236        CAT_2017-09-02 0.91
237        CAT_2017-11-05 0.90
238        CAT_2018-04-20 0.89
239        CAT_2018-09-27 0.89
240        CAT_2017-08-21 0.86
241        CAT_2020-03-18 0.79
242        CAT_2020-02-14 0.77
243        CAT_2018-05-02 0.75
244        CAT_2018-01-21 0.74
245        CAT_2020-03-05 0.71
246        CAT_2021-05-02 0.70
247        CAT_2017-05-07 0.66
248        CAT_2020-04-08 0.65
249        CAT_2020-05-11 0.65
250        CAT_2020-02-11 0.64
251        CAT_2018-05-01 0.56
252        CAT_2018-07-21 0.55
253        CAT_2021-02-05 0.54
254        CAT_2018-08-05 0.52
255        CAT_2018-05-12 0.51
256        CAT_2021-03-14 0.51
257        CAT_2017-11-17 0.48
258        CAT_2017-06-19 0.43
259        CAT_2021-06-22 0.43
260        CAT_2018-07-30 0.42
261        CAT_2018-12-24 0.38
262        CAT_2018-05-09 0.37
263        CAT_2017-07-16 0.35
264        CAT_2018-09-12 0.35
265        CAT_2017-04-26 0.34
266        CAT_2020-06-21 0.32
267        CAT_2020-04-24 0.31
268        CAT_2021-03-23 0.31
269        CAT_2018-08-18 0.29
270        CAT_2018-08-28 0.28
271        CAT_2017-08-26 0.27
272        CAT_2021-01-26 0.26
273        CAT_2018-06-17 0.24
274        CAT_2018-12-27 0.21
275        CAT_2018-08-21 0.20
276        CAT_2018-04-08 0.18
277        CAT_2021-07-12 0.17
278        CAT_2017-01-01 0.00
279        CAT_2017-01-03 0.00
280        CAT_2017-01-04 0.00
281        CAT_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 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