| Issue |
E3S Web Conf.
Volume 204, 2020
2020 International Conference of Recent Trends in Environmental Sustainability and Green Technologies (ICRTEG 2020)
|
|
|---|---|---|
| Article Number | 01004 | |
| Number of page(s) | 6 | |
| Section | Natural Resources and Environmental Science | |
| DOI | https://doi.org/10.1051/e3sconf/202020401004 | |
| Published online | 03 November 2020 | |
Global Warming Prediction Model of Fish Migration Based on ArcGIS
College of Science, Lanzhou University of Technology, Lanzhou, 730050
Rising global ocean temperatures will disrupt the livelihoods of people who depend on fishing for marine crops. Therefore, we propose fishery migration prediction models to solve the problem. We considered the effects of seawater temperature and salinity, and constructed a fish school migration prediction model based on ArcGIS. On this basis, a thermodynamic map of fish school distribution were made using ArcGIS software and kriging interpolation and nuclear density analysis. Moreover, linear interpolation and fitting are used to obtain the relationship between the annual fish movement distance and the year to predict the fish migration routes in the next 50 years.
Key words: Rising global ocean temperatures / Fish migration prediction model / ArcGIS / Fitting
© The Authors, published by EDP Sciences, 2020
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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