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Possible Impact on Białystok (POL)

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.

Białystok (POL)

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_2017-12-02 47.74
2        ZA2_2018-07-21 25.39
3        ZA2_2018-10-18 23.21
4        ZA2_2018-12-23 22.96
5        ZA2_2017-02-18 21.23
6        ZA2_2018-02-19 18.55
7        ZA2_2017-06-15 15.72
8        ZA2_2018-08-04 15.40
9        ZA2_2017-04-02 11.75
10        ZA2_2017-05-25 11.60
11        ZA2_2017-12-18 10.95
12        ZA2_2017-08-07 10.62
13        ZA2_2017-03-22 10.40
14        ZA2_2018-10-20 9.25
15        ZA2_2018-06-25 9.21
16        ZA2_2018-08-18 9.02
17        ZA2_2020-03-20 8.99
18        ZA2_2020-07-03 8.31
19        ZA2_2020-02-03 8.04
20        ZA2_2018-02-06 7.77
21        ZA2_2017-01-21 7.59
22        ZA2_2017-07-14 7.52
23        ZA2_2017-04-07 7.39
24        ZA2_2017-06-11 7.38
25        ZA2_2018-11-14 7.26
26        ZA2_2017-02-13 7.08
27        ZA2_2019-12-03 7.06
28        ZA2_2017-07-28 6.92
29        ZA2_2017-10-06 6.90
30        ZA2_2020-11-03 6.81
31        ZA2_2020-01-23 6.35
32        ZA2_2020-11-27 6.13
33        ZA2_2017-11-26 5.91
34        ZA2_2017-07-09 5.80
35        ZA2_2020-03-19 5.59
36        ZA2_2018-01-08 5.36
37        ZA2_2020-08-27 5.32
38        ZA2_2017-01-24 5.27
39        ZA2_2018-12-31 4.93
40        ZA2_2017-12-22 4.74
41        ZA2_2017-08-24 4.70
42        ZA2_2017-06-01 4.57
43        ZA2_2018-12-05 4.56
44        ZA2_2017-10-15 4.45
45        ZA2_2020-07-21 4.45
46        ZA2_2020-10-30 4.41
47        ZA2_2017-07-16 4.39
48        ZA2_2017-02-25 4.16
49        ZA2_2017-05-15 4.14
50        ZA2_2018-12-26 4.12
51        ZA2_2020-07-12 4.12
52        ZA2_2017-06-04 4.06
53        ZA2_2020-02-06 3.83
54        ZA2_2020-05-09 3.79
55        ZA2_2017-01-20 3.73
56        ZA2_2020-09-10 3.68
57        ZA2_2020-01-01 3.63
58        ZA2_2017-12-20 3.45
59        ZA2_2017-01-03 3.40
60        ZA2_2018-07-06 3.40
61        ZA2_2018-06-03 3.32
62        ZA2_2020-05-18 3.31
63        ZA2_2017-12-01 3.25
64        ZA2_2018-06-08 3.25
65        ZA2_2018-08-05 3.25
66        ZA2_2020-11-06 3.18
67        ZA2_2017-04-22 3.11
68        ZA2_2018-12-10 3.09
69        ZA2_2018-12-25 2.98
70        ZA2_2017-06-05 2.96
71        ZA2_2020-01-22 2.92
72        ZA2_2017-11-06 2.87
73        ZA2_2017-12-24 2.84
74        ZA2_2020-04-23 2.73
75        ZA2_2017-07-06 2.71
76        ZA2_2017-12-19 2.66
77        ZA2_2020-03-07 2.61
78        ZA2_2017-09-18 2.60
79        ZA2_2018-08-06 2.58
80        ZA2_2017-12-05 2.55
81        ZA2_2020-04-18 2.51
82        ZA2_2020-09-01 2.48
83        ZA2_2017-07-15 2.45
84        ZA2_2018-06-18 2.43
85        ZA2_2017-07-02 2.34
86        ZA2_2020-11-08 2.30
87        ZA2_2017-03-29 2.19
88        ZA2_2017-01-25 2.17
89        ZA2_2018-08-21 2.12
90        ZA2_2017-06-21 2.08
91        ZA2_2020-01-09 2.03
92        ZA2_2018-09-16 1.95
93        ZA2_2017-12-17 1.91
94        ZA2_2020-04-26 1.90
95        ZA2_2017-03-28 1.83
96        ZA2_2020-08-30 1.82
97        ZA2_2020-10-13 1.81
98        ZA2_2017-05-14 1.79
99        ZA2_2017-10-10 1.79
100        ZA2_2017-03-18 1.75
101        ZA2_2020-11-20 1.71
102        ZA2_2018-10-19 1.55
103        ZA2_2020-03-03 1.53
104        ZA2_2020-04-28 1.52
105        ZA2_2020-10-11 1.49
106        ZA2_2020-08-20 1.34
107        ZA2_2017-06-18 1.33
108        ZA2_2018-02-16 1.32
109        ZA2_2018-10-04 1.32
110        ZA2_2017-10-18 1.31
111        ZA2_2020-11-24 1.29
112        ZA2_2018-03-26 1.28
113        ZA2_2018-09-27 1.27
114        ZA2_2017-06-10 1.22
115        ZA2_2017-10-27 1.22
116        ZA2_2017-01-13 1.19
117        ZA2_2017-06-19 1.19
118        ZA2_2020-10-12 1.14
119        ZA2_2017-05-06 1.12
120        ZA2_2018-04-22 1.12
121        ZA2_2020-09-19 1.11
122        ZA2_2020-01-02 1.07
123        ZA2_2018-04-21 1.06
124        ZA2_2017-07-19 1.05
125        ZA2_2018-07-13 1.04
126        ZA2_2017-12-25 1.02
127        ZA2_2018-12-28 1.02
128        ZA2_2020-10-17 1.02
129        ZA2_2018-06-23 1.01
130        ZA2_2018-02-18 0.97
131        ZA2_2020-04-27 0.97
132        ZA2_2017-06-02 0.96
133        ZA2_2017-10-13 0.96
134        ZA2_2017-01-17 0.93
135        ZA2_2018-11-24 0.92
136        ZA2_2017-03-10 0.91
137        ZA2_2017-08-02 0.88
138        ZA2_2017-04-20 0.87
139        ZA2_2018-06-15 0.87
140        ZA2_2018-08-07 0.85
141        ZA2_2018-09-24 0.84
142        ZA2_2017-07-31 0.83
143        ZA2_2017-12-06 0.83
144        ZA2_2018-06-06 0.83
145        ZA2_2017-10-26 0.81
146        ZA2_2020-06-07 0.80
147        ZA2_2017-12-04 0.79
148        ZA2_2018-08-02 0.78
149        ZA2_2020-05-11 0.77
150        ZA2_2020-01-04 0.73
151        ZA2_2018-08-26 0.70
152        ZA2_2020-01-10 0.70
153        ZA2_2018-11-03 0.68
154        ZA2_2017-04-29 0.67
155        ZA2_2018-09-29 0.67
156        ZA2_2020-05-04 0.67
157        ZA2_2017-11-03 0.63
158        ZA2_2017-04-06 0.62
159        ZA2_2018-05-03 0.60
160        ZA2_2020-04-10 0.60
161        ZA2_2020-05-24 0.58
162        ZA2_2018-04-06 0.57
163        ZA2_2018-09-08 0.57
164        ZA2_2017-07-03 0.56
165        ZA2_2017-05-22 0.52
166        ZA2_2017-06-16 0.52
167        ZA2_2018-06-24 0.49
168        ZA2_2019-12-24 0.47
169        ZA2_2018-10-26 0.46
170        ZA2_2017-11-25 0.45
171        ZA2_2018-08-03 0.45
172        ZA2_2018-08-13 0.45
173        ZA2_2017-09-06 0.40
174        ZA2_2017-04-26 0.38
175        ZA2_2017-05-19 0.35
176        ZA2_2018-04-01 0.33
177        ZA2_2018-01-30 0.29
178        ZA2_2020-07-13 0.29
179        ZA2_2020-04-04 0.28
180        ZA2_2017-04-15 0.27
181        ZA2_2020-06-28 0.25
182        ZA2_2017-03-16 0.21
183        ZA2_2018-10-23 0.21
184        ZA2_2020-04-14 0.21
185        ZA2_2017-04-03 0.18
186        ZA2_2017-04-27 0.18
187        ZA2_2018-05-01 0.18
188        ZA2_2020-02-25 0.18
189        ZA2_2017-12-11 0.16
190        ZA2_2017-03-25 0.15
191        ZA2_2018-10-10 0.15
192        ZA2_2020-01-30 0.15
193        ZA2_2020-02-24 0.14
194        ZA2_2020-06-29 0.14
195        ZA2_2017-10-28 0.13
196        ZA2_2018-09-13 0.13
197        ZA2_2017-08-26 0.11
198        ZA2_2017-02-24 0.07
199        ZA2_2018-04-02 0.07
200        ZA2_2017-01-01 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