Τίτλος:
Pollution of Arctic Waters Has Reached a Critical Point: an Innovative Approach to This Problem
Γλώσσες Τεκμηρίου:
Αγγλικά
Περίληψη:
One of the most important problems in the Arctic Basin is the pollution of its waters and the assessment of its impact on the ecological system of this region. In this paper, we recommend using the geoecological information-modeling system (GIMS) as one of the Big Data tools to address this problem. Specifically, the GIMS includes a series of specific models describing ecological, hydrological, climatic, and hydrochemical processes in Arctic waters. The synthesis of GIMS with the Arctic Basin Ecosystem (ABE) model provides the GIMS-ABE coupled model that takes into account various sources of pollutants, including river runoffs, long-range atmospheric transport, and anthropogenic activities in the coastal zone, as well as ships. In the simulation experiments performed in the present study, heavy metals, oil hydrocarbons, and radionuclides are considered as primary contaminants. In addition, the biocomplexity and survivability indicators were considered as information values to predict the status of the Arctic ecosystem. The results showed a high sensitivity of the Arctic ecosystem to pollution that is currently close to a tipping point. In particular, it emerged that the current state of pollution intensity leads to increased accumulation of pollutants in marine waters at different rates ranging from 7 to 23% depending on the Arctic aquatic environment. © 2018, Springer Nature Switzerland AG.
Συγγραφείς:
Varotsos, C.A.
Krapivin, V.F.
Περιοδικό:
WATER, AIR AND SOIL POLLUTION
Εκδότης:
Springer International Publishing
Λέξεις-κλειδιά:
Atmospheric movements; Big data; Ecosystems; Heavy metals; Impurities; Models; River pollution; Water pollution, Anthropogenic activity; Aquatic environments; Arctic basin; Hydrochemical process; Information Modeling; Innovative approaches; Long-range atmospheric transports; Pollution intensity, Marine pollution, heavy metal; hydrocarbon; radioisotope, coastal zone; computer simulation; human activity; hydrological modeling; pollutant source; water pollution, aquatic environment; Arctic Ocean; Article; concentration (parameters); environmental impact; geographic distribution; greenhouse effect; information model; runoff; water analysis; water pollution; water quality, Arctic Ocean
DOI:
10.1007/s11270-018-4004-x
