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Possible Impact on Visby (Gotland) (SWE)

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.

Visby (Gotland) (SWE)

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_2018-08-01 39.81
2        ZA2_2017-01-28 37.58
3        ZA2_2020-10-07 27.71
4        ZA2_2020-04-27 23.68
5        ZA2_2017-11-30 21.62
6        ZA2_2017-12-28 19.96
7        ZA2_2017-06-09 18.84
8        ZA2_2020-10-26 18.69
9        ZA2_2018-11-23 18.30
10        ZA2_2017-05-19 17.97
11        ZA2_2017-07-07 17.49
12        ZA2_2020-11-14 17.12
13        ZA2_2018-12-01 16.20
14        ZA2_2019-12-21 15.06
15        ZA2_2017-09-11 14.91
16        ZA2_2018-01-05 14.49
17        ZA2_2018-09-10 12.64
18        ZA2_2017-06-03 11.85
19        ZA2_2018-08-17 11.72
20        ZA2_2020-09-28 11.62
21        ZA2_2020-11-16 11.14
22        ZA2_2020-08-02 10.97
23        ZA2_2020-10-10 10.76
24        ZA2_2020-06-16 10.72
25        ZA2_2020-03-02 10.60
26        ZA2_2018-02-16 10.31
27        ZA2_2018-07-29 10.25
28        ZA2_2017-01-29 9.84
29        ZA2_2020-03-26 9.61
30        ZA2_2018-03-23 9.06
31        ZA2_2018-10-12 8.97
32        ZA2_2018-10-14 8.54
33        ZA2_2017-08-01 7.35
34        ZA2_2018-09-21 7.32
35        ZA2_2018-11-29 7.24
36        ZA2_2020-08-16 7.16
37        ZA2_2017-08-31 7.12
38        ZA2_2020-04-06 7.02
39        ZA2_2017-10-02 6.99
40        ZA2_2020-08-15 6.85
41        ZA2_2020-03-23 6.72
42        ZA2_2017-03-20 6.66
43        ZA2_2017-08-18 6.41
44        ZA2_2020-08-08 6.30
45        ZA2_2017-08-16 6.19
46        ZA2_2018-08-29 5.99
47        ZA2_2018-01-09 5.91
48        ZA2_2018-01-03 5.90
49        ZA2_2018-02-11 5.64
50        ZA2_2017-05-18 5.61
51        ZA2_2017-08-15 5.38
52        ZA2_2020-02-14 5.06
53        ZA2_2017-07-10 4.33
54        ZA2_2017-08-08 4.15
55        ZA2_2017-02-28 4.14
56        ZA2_2020-11-01 3.99
57        ZA2_2018-12-18 3.84
58        ZA2_2017-12-14 3.71
59        ZA2_2020-07-14 3.34
60        ZA2_2019-12-17 3.09
61        ZA2_2020-08-05 3.07
62        ZA2_2018-11-08 3.00
63        ZA2_2018-08-10 2.92
64        ZA2_2019-12-12 2.84
65        ZA2_2018-11-16 2.82
66        ZA2_2018-12-02 2.65
67        ZA2_2020-05-23 2.50
68        ZA2_2017-01-30 2.47
69        ZA2_2018-11-30 2.45
70        ZA2_2018-08-13 2.28
71        ZA2_2018-07-28 2.11
72        ZA2_2018-04-05 1.97
73        ZA2_2018-07-09 1.94
74        ZA2_2020-08-14 1.88
75        ZA2_2020-07-15 1.86
76        ZA2_2018-06-17 1.85
77        ZA2_2020-05-01 1.63
78        ZA2_2017-08-07 1.57
79        ZA2_2018-06-09 1.49
80        ZA2_2018-08-31 1.48
81        ZA2_2020-11-15 1.45
82        ZA2_2018-08-08 1.41
83        ZA2_2018-05-02 1.39
84        ZA2_2017-01-08 1.32
85        ZA2_2017-10-25 1.31
86        ZA2_2020-05-10 1.31
87        ZA2_2020-10-30 1.31
88        ZA2_2017-08-14 1.21
89        ZA2_2018-05-03 1.14
90        ZA2_2020-07-18 1.14
91        ZA2_2018-04-04 1.11
92        ZA2_2017-06-23 1.10
93        ZA2_2018-03-10 1.09
94        ZA2_2020-11-08 1.05
95        ZA2_2018-08-16 1.01
96        ZA2_2017-06-07 1.00
97        ZA2_2018-10-15 0.99
98        ZA2_2017-04-12 0.91
99        ZA2_2017-05-16 0.91
100        ZA2_2020-11-13 0.86
101        ZA2_2018-10-26 0.83
102        ZA2_2017-03-09 0.82
103        ZA2_2017-10-24 0.79
104        ZA2_2018-01-23 0.76
105        ZA2_2020-07-27 0.76
106        ZA2_2020-08-01 0.76
107        ZA2_2017-05-11 0.75
108        ZA2_2018-01-21 0.75
109        ZA2_2018-03-09 0.74
110        ZA2_2020-05-22 0.74
111        ZA2_2020-01-28 0.73
112        ZA2_2020-11-11 0.72
113        ZA2_2020-07-17 0.71
114        ZA2_2020-06-07 0.66
115        ZA2_2017-06-05 0.65
116        ZA2_2017-06-16 0.65
117        ZA2_2017-10-08 0.62
118        ZA2_2018-07-31 0.62
119        ZA2_2020-04-29 0.59
120        ZA2_2018-02-02 0.58
121        ZA2_2018-03-07 0.56
122        ZA2_2020-05-21 0.53
123        ZA2_2018-06-16 0.50
124        ZA2_2017-10-23 0.49
125        ZA2_2020-07-26 0.48
126        ZA2_2017-11-28 0.47
127        ZA2_2018-01-18 0.47
128        ZA2_2020-01-14 0.45
129        ZA2_2020-08-19 0.40
130        ZA2_2017-08-10 0.37
131        ZA2_2018-06-15 0.35
132        ZA2_2018-09-07 0.34
133        ZA2_2020-08-18 0.34
134        ZA2_2018-04-28 0.32
135        ZA2_2020-07-16 0.31
136        ZA2_2017-05-30 0.29
137        ZA2_2017-07-09 0.29
138        ZA2_2020-08-29 0.27
139        ZA2_2020-08-26 0.24
140        ZA2_2018-10-29 0.23
141        ZA2_2018-08-21 0.18
142        ZA2_2020-04-26 0.14
143        ZA2_2020-06-06 0.14
144        ZA2_2017-06-27 0.13
145        ZA2_2017-08-17 0.13
146        ZA2_2018-04-03 0.12
147        ZA2_2020-02-26 0.06
148        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