E3S Web Conf.
Volume 204, 20202020 International Conference of Recent Trends in Environmental Sustainability and Green Technologies (ICRTEG 2020)
|Number of page(s)||6|
|Section||Natural Resources and Environmental Science|
|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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.