Operational Diagnosis of Arctic Waters with Instrumental Technology and Information Modeling

• Published in: Water, air, and soil pollution Vol. 232; no. 4
• Main Authors: Krapivin, Vladimir F., Mkrtchan, Ferdenant A., Varotsos, Costas A., Xue, Yong
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 01.04.2021; Springer; Springer Nature B.V
• Subjects: Analysis; Aquariums; Atmospheric Protection/Air Quality Control/Air Pollution; Chlorophyll; Chlorophyll a; Climate Change/Climate Change Impacts; Earth and Environmental Science; Environment; Environmental monitoring; Heavy metals; Hydrocarbons; Hydrogeology; Innovations; Mathematical analysis; Mathematical models; Metals; New technology; Optical measuring instruments; Phosphates; Polar waters; Pollutants; Quality assessment; Quantitative distribution; Sensors; Soil Science & Conservation; Spectrophotometers; Spectrophotometry; Technology; Water pollution; Water quality; Water quality assessments; Water Quality/Water Pollution; Arctic region; Spectroellipsometer; Pollution; Diagnostics; Spectrophotometer; Water quality; Model; Arctic Basin
• ISSN: 0049-6979; 1573-2932
• DOI: 10.1007/s11270-021-05068-5

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.