Institute of Mathematical Machine and System Problems, Kiev, Ukraine.
Institute of Mathematical Machine and System Problems, Kiev, Ukraine.
Mar Pollut Bull. 2018 Oct;135:895-906. doi: 10.1016/j.marpolbul.2018.08.026. Epub 2018 Aug 15.
The compartment model POSEIDON-R with an embedded food web model was used to assess Cs distributions in the Baltic and Black seas and off the Pacific coast of Japan during 1945-2020 due to the weapon testing and accidents at the Chernobyl and Fukushima Dai-ichi nuclear power plants. The results of simulations conducted with generic parameters agreed well with measurements of Cs concentrations in the water, bottom sediments, and in fish. In the Black and Baltic seas, salinity variations affected the transfer of Cs through the food web. The contamination of pelagic fish followed the water contamination with some delay, whereas demersal fish depuration was found to be related to decreasing Cs concentrations in the upper sediment layer. On the Pacific shelf off Japan, intensive currents and eddies caused the simulated depuration rates in fish to be one-two orders of magnitude larger than those in the semi-enclosed Black and Baltic seas.
POSEIDON-R 箱式模型结合嵌入式食物网模型被用于评估 1945-2020 年间由于切尔诺贝利和福岛第一核电站的武器试验和事故而在波罗的海、黑海和日本太平洋沿岸的 Cs 分布情况。使用通用参数进行的模拟结果与水中、底泥和鱼类中 Cs 浓度的测量值吻合较好。在黑海和波罗的海中,盐度变化影响了 Cs 通过食物网的传递。浮游鱼类的污染情况与水的污染情况有一定的滞后,而底栖鱼类的净化情况则与上层沉积物中 Cs 浓度的降低有关。在日本太平洋大陆架,强烈的海流和漩涡导致模拟的鱼类净化率比半封闭的黑海和波罗的海高出一到两个数量级。