TY - JOUR
TI - Operational Diagnosis of Arctic Waters with Instrumental Technology and Information Modeling
AU - Krapivin, V.F.
AU - Mkrtchan, F.A.
AU - Varotsos, C.A.
AU - Xue, Y.
JO - WATER, AIR AND SOIL POLLUTION
PY - 2021
VL - 232
TODO - 4
SP - null
PB - Springer Science and Business Media Deutschland GmbH
SN - 0049-6979
TODO - 10.1007/s11270-021-05068-5
TODO - Arctic engineering;  Heavy metals;  Hydrocarbons;  Ice;  Spectrophotometers;  Water quality, Developed model;  Distribution of water;  Information Modeling;  Oil hydrocarbons;  Spatial simulation;  Spectral observations;  Spectroellipsometer;  Water pollutants, Water pollution, chlorophyll a;  heavy metal;  hydrocarbon;  phosphate, chlorophyll a;  heavy metal;  hydrocarbon;  marine pollution;  modeling;  phosphate;  pollutant;  spectrophotometry;  water quality, Arctic Ocean;  Article;  mathematical model;  simulation;  spectrophotometry;  water pollutant;  water quality;  water sampling, Arctic Ocean;  Bering Sea;  Norway;  Pacific Ocean
TODO - As a tool for assessing water quality in the Arctic Basin, a new technology is proposed based on the coupling of spectral observations of multi-channel optical sensors and mathematical model estimates for the qualitative and quantitative distribution of water pollutants. Adaptive spectrophotometer and spectroellipsometer structures are used to carry out the observations, the operation of which is described in detail. The mathematical model used relates to the spatial simulation of the dynamics of pollutants in the Arctic basin and was developed to assess the distribution of pollutants in Arctic aquariums, including Norway and the Bering Sea. In particular, a model is adopted for the study of heavy metals, oil hydrocarbons, phosphates, and other possible water pollutants. This model describes the interactions of pollutants with components of arctic ecosystems, including chlorophyll-a. It is shown that the proposed tool for combining spectrophotometric or spectroellipsometric observation equipment with the developed model provides to a very large extent the reliable distribution of heavy metals and oil hydrocarbons in all Arctic water. © 2021, The Author(s), under exclusive licence to Springer Nature Switzerland AG.
ER -