Forecasts for the fish Migration and Fishing time under Marine Environment Changes based on the ARIMA model
The validation of using ARIMA model to predict temperature is proved based on the global ocean temperature date monthly from1960 to 2019. According to ARIMA(1,1,0), bootstrap method is used to simulate 10000 possible prediction cases by MATLAB code, which lays a great foundation to predict the migra...
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ftkeanuniv:oai:digitalcommons.kean.edu:keanpublications-2153 2023-12-17T10:29:59+01:00 Forecasts for the fish Migration and Fishing time under Marine Environment Changes based on the ARIMA model Hu, Yuanwei Pan, Ziyi Han, Zihao Lin, Zichao Tao, Zheng 2020-11-01T07:00:00Z https://digitalcommons.kean.edu/keanpublications/1154 https://doi.org/10.1109/ICEMME51517.2020.00074 unknown Kean Digital Learning Commons https://digitalcommons.kean.edu/keanpublications/1154 doi:10.1109/ICEMME51517.2020.00074 Kean Publications ARIMA model bootstrap method fishing area MATLAB code migration situation text 2020 ftkeanuniv https://doi.org/10.1109/ICEMME51517.2020.00074 2023-11-23T19:04:37Z The validation of using ARIMA model to predict temperature is proved based on the global ocean temperature date monthly from1960 to 2019. According to ARIMA(1,1,0), bootstrap method is used to simulate 10000 possible prediction cases by MATLAB code, which lays a great foundation to predict the migration of fish. Then based on the 10000 temperature change samples generated by bootstrap method in model, migration situation of each sample is simulated to identify the most likely locations of the fish. It was finally shown that the fish are mainly distributed in the area between Iceland and the Faroe Islands 50 years later. Due to technical shortcomings of small fishing companies, if fishing vessels are too far from the continental shelf, they will face problems such as insufficient energy, low safety, and difficulty in keeping fish fresh. Finally, we estimate the elapsed time until the fishermen are unable to catch these two types of fish in their fishing area based on how fast the temperature changes, with the best, worst, and most likely scenarios. Text Faroe Islands Iceland Kean Digital Learning Commons Faroe Islands 2020 2nd International Conference on Economic Management and Model Engineering (ICEMME) 352 355 |
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Kean Digital Learning Commons |
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topic |
ARIMA model bootstrap method fishing area MATLAB code migration situation |
spellingShingle |
ARIMA model bootstrap method fishing area MATLAB code migration situation Hu, Yuanwei Pan, Ziyi Han, Zihao Lin, Zichao Tao, Zheng Forecasts for the fish Migration and Fishing time under Marine Environment Changes based on the ARIMA model |
topic_facet |
ARIMA model bootstrap method fishing area MATLAB code migration situation |
description |
The validation of using ARIMA model to predict temperature is proved based on the global ocean temperature date monthly from1960 to 2019. According to ARIMA(1,1,0), bootstrap method is used to simulate 10000 possible prediction cases by MATLAB code, which lays a great foundation to predict the migration of fish. Then based on the 10000 temperature change samples generated by bootstrap method in model, migration situation of each sample is simulated to identify the most likely locations of the fish. It was finally shown that the fish are mainly distributed in the area between Iceland and the Faroe Islands 50 years later. Due to technical shortcomings of small fishing companies, if fishing vessels are too far from the continental shelf, they will face problems such as insufficient energy, low safety, and difficulty in keeping fish fresh. Finally, we estimate the elapsed time until the fishermen are unable to catch these two types of fish in their fishing area based on how fast the temperature changes, with the best, worst, and most likely scenarios. |
format |
Text |
author |
Hu, Yuanwei Pan, Ziyi Han, Zihao Lin, Zichao Tao, Zheng |
author_facet |
Hu, Yuanwei Pan, Ziyi Han, Zihao Lin, Zichao Tao, Zheng |
author_sort |
Hu, Yuanwei |
title |
Forecasts for the fish Migration and Fishing time under Marine Environment Changes based on the ARIMA model |
title_short |
Forecasts for the fish Migration and Fishing time under Marine Environment Changes based on the ARIMA model |
title_full |
Forecasts for the fish Migration and Fishing time under Marine Environment Changes based on the ARIMA model |
title_fullStr |
Forecasts for the fish Migration and Fishing time under Marine Environment Changes based on the ARIMA model |
title_full_unstemmed |
Forecasts for the fish Migration and Fishing time under Marine Environment Changes based on the ARIMA model |
title_sort |
forecasts for the fish migration and fishing time under marine environment changes based on the arima model |
publisher |
Kean Digital Learning Commons |
publishDate |
2020 |
url |
https://digitalcommons.kean.edu/keanpublications/1154 https://doi.org/10.1109/ICEMME51517.2020.00074 |
geographic |
Faroe Islands |
geographic_facet |
Faroe Islands |
genre |
Faroe Islands Iceland |
genre_facet |
Faroe Islands Iceland |
op_source |
Kean Publications |
op_relation |
https://digitalcommons.kean.edu/keanpublications/1154 doi:10.1109/ICEMME51517.2020.00074 |
op_doi |
https://doi.org/10.1109/ICEMME51517.2020.00074 |
container_title |
2020 2nd International Conference on Economic Management and Model Engineering (ICEMME) |
container_start_page |
352 |
op_container_end_page |
355 |
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1785582885488558080 |