| Issue |
BIO Web Conf.
Volume 141, 2024
IX International Scientific Conference on Agricultural Science 2024 “Current State, Problems and Prospects for the Development of Agricultural Science” (AGRICULTURAL SCIENCE 2024)
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|---|---|---|
| Article Number | 03012 | |
| Number of page(s) | 6 | |
| Section | Aquatic Ecosystems and Marine Conservation Biology | |
| DOI | https://doi.org/10.1051/bioconf/202414103012 | |
| Published online | 21 November 2024 | |
Development of the software tool for searching sea areas suitable for mariculture breeding
1 Northern Water Problems Institute of the Karelian Research Centre, Russian Academy of Sciences, 50, A. Nevskogo ave., 185030, Petrozavodsk, Russia
2 Institute of Applied Math Research of the Karelian Research Centre, Russian Academy of Sciences, 11, Pushkinskaya str., 185910, Petrozavodsk, Russia
* Corresponding author: alexeytolstikov@mail.ru
The program for searching areas of a sea body of water according to specified characteristics is presented. The parameters are the ranges of potential water temperature and salinity, as well as the date range, the initial data are three-dimensional arrays of relevant characteristics in the netCDF format (work with direct access data is provided). Copernicus marine reanalysis was used. The search is carried out at boundary points, the number of days from a given range in which the corresponding conditions are met (temperature and salinity from a given range) is calculated. Maps and binary arrays with metafiles for graphical display are created. The algorithm was tested in the White Sea and the southern part of the Barents Sea. According to calculation the Pomorskiy Coast of the Onezhskiy Bay is recognized as the most promising for trout farming in the White Sea when combined with “supporting” coastal infrastructure. However, to select the optimal site for mariculture using mathematical methods, further field work is required.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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