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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Published in:2020 2nd International Conference on Economic Management and Model Engineering (ICEMME)
Main Authors: Hu, Yuanwei, Pan, Ziyi, Han, Zihao, Lin, Zichao, Tao, Zheng
Format: Text
Language:unknown
Published: Kean Digital Learning Commons 2020
Subjects:
Online Access:https://digitalcommons.kean.edu/keanpublications/1154
https://doi.org/10.1109/ICEMME51517.2020.00074
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spelling 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
institution Open Polar
collection Kean Digital Learning Commons
op_collection_id ftkeanuniv
language unknown
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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