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Possible Impact on Klaipėda (LTU)

GoogleEarth202104
Żarnowiec-Kopalino, Poland, pressurized water reactor (PWR) in project, 3415 megawatts thermal (MWth)

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.

Klaipėda (LTU)

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        ZA2_2020-07-14 60.39
2        ZA2_2020-08-30 42.48
3        ZA2_2017-07-15 41.96
4        ZA2_2018-08-25 36.70
5        ZA2_2020-04-05 34.29
6        ZA2_2018-06-15 33.10
7        ZA2_2017-01-15 32.79
8        ZA2_2020-01-07 30.56
9        ZA2_2020-03-10 30.30
10        ZA2_2017-12-16 27.22
11        ZA2_2020-11-26 26.23
12        ZA2_2018-07-09 24.19
13        ZA2_2018-09-14 21.33
14        ZA2_2020-08-23 20.49
15        ZA2_2018-06-11 20.48
16        ZA2_2017-01-22 20.10
17        ZA2_2020-07-06 19.55
18        ZA2_2017-09-10 18.04
19        ZA2_2018-10-18 17.00
20        ZA2_2017-07-28 16.81
21        ZA2_2018-09-01 16.05
22        ZA2_2020-03-04 15.82
23        ZA2_2019-12-19 14.47
24        ZA2_2017-07-30 13.94
25        ZA2_2018-08-19 13.85
26        ZA2_2020-10-11 13.33
27        ZA2_2018-10-10 13.21
28        ZA2_2017-01-27 13.10
29        ZA2_2018-04-25 13.03
30        ZA2_2017-11-24 12.87
31        ZA2_2020-06-30 12.81
32        ZA2_2018-11-17 12.74
33        ZA2_2017-09-13 12.61
34        ZA2_2019-12-09 12.37
35        ZA2_2020-08-05 12.28
36        ZA2_2020-08-25 11.81
37        ZA2_2018-05-01 11.77
38        ZA2_2018-10-05 11.73
39        ZA2_2017-01-02 11.35
40        ZA2_2018-04-29 11.30
41        ZA2_2017-10-16 11.21
42        ZA2_2018-10-22 11.03
43        ZA2_2018-06-08 10.73
44        ZA2_2020-10-30 10.73
45        ZA2_2017-07-29 10.60
46        ZA2_2017-08-13 10.52
47        ZA2_2018-03-25 10.51
48        ZA2_2018-09-30 9.96
49        ZA2_2020-07-24 9.88
50        ZA2_2020-07-01 9.75
51        ZA2_2020-02-11 9.65
52        ZA2_2018-09-19 9.17
53        ZA2_2020-01-12 9.11
54        ZA2_2020-09-15 9.11
55        ZA2_2018-08-29 9.10
56        ZA2_2017-04-27 9.00
57        ZA2_2018-03-30 8.99
58        ZA2_2018-06-06 8.87
59        ZA2_2017-03-18 8.70
60        ZA2_2020-02-19 8.68
61        ZA2_2018-11-24 8.43
62        ZA2_2020-03-18 8.33
63        ZA2_2017-01-09 8.28
64        ZA2_2018-08-28 8.27
65        ZA2_2017-08-17 8.13
66        ZA2_2019-12-30 8.00
67        ZA2_2018-03-10 7.73
68        ZA2_2017-02-16 7.66
69        ZA2_2017-10-03 7.50
70        ZA2_2020-05-08 7.44
71        ZA2_2017-04-12 7.36
72        ZA2_2020-09-19 7.28
73        ZA2_2019-12-10 6.99
74        ZA2_2018-02-13 6.91
75        ZA2_2017-11-18 6.88
76        ZA2_2017-06-08 6.53
77        ZA2_2018-06-16 6.53
78        ZA2_2020-02-01 6.49
79        ZA2_2020-10-06 6.36
80        ZA2_2020-10-21 6.35
81        ZA2_2017-03-02 6.25
82        ZA2_2020-03-17 6.17
83        ZA2_2018-07-29 6.15
84        ZA2_2020-10-20 6.01
85        ZA2_2017-08-21 5.94
86        ZA2_2020-09-02 5.91
87        ZA2_2017-04-04 5.87
88        ZA2_2017-09-14 5.75
89        ZA2_2018-06-25 5.64
90        ZA2_2017-12-09 5.54
91        ZA2_2017-10-12 5.50
92        ZA2_2020-02-18 5.41
93        ZA2_2018-02-07 5.27
94        ZA2_2017-06-10 5.13
95        ZA2_2017-11-10 5.09
96        ZA2_2020-01-10 5.08
97        ZA2_2017-11-19 5.04
98        ZA2_2017-12-10 5.02
99        ZA2_2018-08-02 4.96
100        ZA2_2018-06-07 4.90
101        ZA2_2018-05-02 4.82
102        ZA2_2017-12-21 4.65
103        ZA2_2017-12-08 4.51
104        ZA2_2017-01-08 4.43
105        ZA2_2018-03-07 4.24
106        ZA2_2020-06-07 3.77
107        ZA2_2018-12-08 3.71
108        ZA2_2020-04-28 3.71
109        ZA2_2020-10-23 3.58
110        ZA2_2017-01-07 3.51
111        ZA2_2017-11-17 3.46
112        ZA2_2017-02-19 3.25
113        ZA2_2020-03-08 3.22
114        ZA2_2018-08-13 3.11
115        ZA2_2020-11-21 3.11
116        ZA2_2019-12-07 3.02
117        ZA2_2017-03-30 2.99
118        ZA2_2018-02-01 2.99
119        ZA2_2017-04-10 2.91
120        ZA2_2017-08-12 2.88
121        ZA2_2020-03-01 2.82
122        ZA2_2017-03-10 2.79
123        ZA2_2020-08-01 2.74
124        ZA2_2017-12-26 2.69
125        ZA2_2020-08-06 2.64
126        ZA2_2017-03-08 2.62
127        ZA2_2017-12-27 2.56
128        ZA2_2020-07-05 2.47
129        ZA2_2017-05-14 2.45
130        ZA2_2018-10-26 2.45
131        ZA2_2017-02-26 2.40
132        ZA2_2020-03-12 2.37
133        ZA2_2020-09-08 2.34
134        ZA2_2017-08-28 2.33
135        ZA2_2019-12-06 2.33
136        ZA2_2020-02-17 2.33
137        ZA2_2018-10-01 2.26
138        ZA2_2020-07-08 2.18
139        ZA2_2017-03-21 2.17
140        ZA2_2017-11-13 2.17
141        ZA2_2020-03-11 2.10
142        ZA2_2017-02-27 2.01
143        ZA2_2017-08-07 2.01
144        ZA2_2017-01-12 1.99
145        ZA2_2018-05-03 1.93
146        ZA2_2017-01-18 1.90
147        ZA2_2017-05-27 1.89
148        ZA2_2020-05-04 1.89
149        ZA2_2020-10-12 1.89
150        ZA2_2018-09-13 1.87
151        ZA2_2020-03-05 1.81
152        ZA2_2018-09-20 1.75
153        ZA2_2017-05-19 1.62
154        ZA2_2020-02-29 1.57
155        ZA2_2017-04-25 1.54
156        ZA2_2020-02-07 1.48
157        ZA2_2017-01-13 1.40
158        ZA2_2017-10-08 1.35
159        ZA2_2018-10-25 1.35
160        ZA2_2020-09-11 1.28
161        ZA2_2020-08-20 1.26
162        ZA2_2020-10-22 1.25
163        ZA2_2018-01-31 1.19
164        ZA2_2018-10-27 1.18
165        ZA2_2020-10-24 1.17
166        ZA2_2017-01-01 1.09
167        ZA2_2020-11-27 1.07
168        ZA2_2020-11-29 1.07
169        ZA2_2020-11-09 1.06
170        ZA2_2020-11-18 1.06
171        ZA2_2017-06-05 1.02
172        ZA2_2020-01-03 1.02
173        ZA2_2018-08-16 1.00
174        ZA2_2017-06-23 0.98
175        ZA2_2017-11-27 0.94
176        ZA2_2018-01-02 0.94
177        ZA2_2020-06-16 0.94
178        ZA2_2017-02-22 0.93
179        ZA2_2018-03-19 0.92
180        ZA2_2018-06-19 0.92
181        ZA2_2018-08-30 0.92
182        ZA2_2020-02-26 0.91
183        ZA2_2017-04-08 0.84
184        ZA2_2020-04-10 0.83
185        ZA2_2017-07-10 0.79
186        ZA2_2018-09-17 0.78
187        ZA2_2017-06-30 0.76
188        ZA2_2017-10-23 0.74
189        ZA2_2017-08-16 0.71
190        ZA2_2020-07-10 0.68
191        ZA2_2020-01-19 0.67
192        ZA2_2020-07-27 0.65
193        ZA2_2017-07-09 0.63
194        ZA2_2018-03-12 0.63
195        ZA2_2019-12-18 0.63
196        ZA2_2018-02-02 0.62
197        ZA2_2020-02-09 0.62
198        ZA2_2020-07-02 0.62
199        ZA2_2017-06-16 0.60
200        ZA2_2017-11-04 0.60
201        ZA2_2020-08-15 0.54
202        ZA2_2017-12-03 0.52
203        ZA2_2020-05-03 0.52
204        ZA2_2017-01-25 0.48
205        ZA2_2017-06-29 0.48
206        ZA2_2018-01-25 0.47
207        ZA2_2018-12-07 0.47
208        ZA2_2017-06-07 0.45
209        ZA2_2017-09-12 0.45
210        ZA2_2018-01-17 0.45
211        ZA2_2017-08-19 0.42
212        ZA2_2020-07-20 0.40
213        ZA2_2017-10-14 0.39
214        ZA2_2018-08-07 0.39
215        ZA2_2018-09-08 0.37
216        ZA2_2018-10-23 0.37
217        ZA2_2017-05-11 0.35
218        ZA2_2018-10-21 0.33
219        ZA2_2018-02-16 0.32
220        ZA2_2020-01-15 0.32
221        ZA2_2018-08-18 0.30
222        ZA2_2020-04-29 0.30
223        ZA2_2019-12-08 0.29
224        ZA2_2020-01-09 0.29
225        ZA2_2020-01-31 0.29
226        ZA2_2017-02-20 0.28
227        ZA2_2018-06-18 0.28
228        ZA2_2020-09-06 0.28
229        ZA2_2018-06-09 0.25
230        ZA2_2020-02-22 0.24
231        ZA2_2018-08-26 0.23
232        ZA2_2017-01-04 0.22
233        ZA2_2017-07-31 0.22
234        ZA2_2020-02-25 0.22
235        ZA2_2017-03-14 0.16
236        ZA2_2017-07-27 0.12
237        ZA2_2017-12-19 0.11
238        ZA2_2020-04-26 0.11
239        ZA2_2020-01-18 0.08
240        ZA2_2017-01-03 0.00

PRECISIONS:
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.

Potential impact of Żarnowiec-Kopalino on the following towns and cities:         Białystok (POL)         Bydgoszcz (POL)         Gdańsk (POL)         Gdynia (POL)         Gorzów Wielkopolski (POL)         Koszalin (POL)         Łódź (POL)         Olsztyn (POL)         Poznań (POL)         Szczecin (POL)         Warszawa (POL)         København (DNK)         Rønne (Bornholm) (DNK)         Anklam (DEU)         Bergen auf Rügen (DEU)         Berlin (DEU)         Frankfurt (Oder) (DEU)         Greifswald (DEU)         Neubrandenburg (DEU)         Rostock (DEU)         Schwedt (DEU)         Hamburg (DEU)         Kaliningrad (RUS)         Kaunas (LTU)         Klaipėda (LTU)         Kalmar (SWE)         Malmö (SWE)         Växjö (SWE)         Visby (Gotland) (SWE)         Stockholm (SWE)

Wikimedia map with modifications
Towns in the vicinity of Żarnowiec-Kopalino


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

Potential impact of Żarnowiec-Kopalino on the following towns and cities:         Białystok (POL)         Bydgoszcz (POL)         Gdańsk (POL)         Gdynia (POL)         Gorzów Wielkopolski (POL)         Koszalin (POL)         Łódź (POL)         Olsztyn (POL)         Poznań (POL)         Szczecin (POL)         Warszawa (POL)         København (DNK)         Rønne (Bornholm) (DNK)         Anklam (DEU)         Bergen auf Rügen (DEU)         Berlin (DEU)         Frankfurt (Oder) (DEU)         Greifswald (DEU)         Neubrandenburg (DEU)         Rostock (DEU)         Schwedt (DEU)         Hamburg (DEU)         Kaliningrad (RUS)         Kaunas (LTU)         Klaipėda (LTU)         Kalmar (SWE)         Malmö (SWE)         Växjö (SWE)         Visby (Gotland) (SWE)         Stockholm (SWE)

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.
Żarnowiec-Kopalino (3415 MWth): 72h simulation starting on 23-04-2020
Żarnowiec-Kopalino (3415 MWth): 72h simulation starting on 16-07-2020
Żarnowiec-Kopalino (3415 MWth): 72h simulation starting on 18-09-2020