MEDUSA-LINK maps: early jellyfish bloom prediction for the sustainability of fisheries, coastal activities, and tourism

Hashim, Aimie Rifhan and Kamaruddin, Sharir Aizat and Umar, Mohd Syuib (2022) MEDUSA-LINK maps: early jellyfish bloom prediction for the sustainability of fisheries, coastal activities, and tourism. APS Proceedings, 1 (1): 39. pp. 254-260. ISSN 003428568-X

Official URL: https://www.researchgate.net/publication/365013388...

Abstract

Jellyfish blooming has occurred around the globe recently and started approaching the coastal region that actively operates with fishing sectors, seaside activities, and tourism. There was undoubtedly commotion, casualties, and even fatalities brought on by jellyfish blooms. Implicitly, the overlap of jellyfish and human populations has terribly impacted the area's socioeconomics. There have been no methods or devices utilized to predict jellyfish blooms based on environmental cues or to employ digital mapping to manage biological risks in the coastal area and ensure the safety of the nearby marine communities. The integration of the spatial and temporal change in jellyfish distribution and water physicochemical water parameters, mediated by Geographic Information System (GIS) technologies, is the basis of the realization and structure of the MEDUSA-LINK maps. The general public, local marine communities, authorities, policy-makers, and even tourists are the target group to ensure the benefits of the MEDUSA-LINK maps. Following the Sustainable Development Goals (SDG) set forth by the United Nations, SDG 14: "Life below water," SDG 3: Good health and well-being, and SDG 13: Climate action and Industrial Revolution 4.0, Big Data in fulfilling predictive demands and maintenance, MEDUSA-LINK maps were brought out to shine and offer a way out.

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Hashim, Aimie Rifhan
2021403326@student.uitm.edu.my
Kamaruddin, Sharir Aizat
shariraizat@uitm.edu.my
Umar, Mohd Syuib
2021217328@student.uitm.edu.my
Subjects: G Geography. Anthropology. Recreation > G Geography (General) > Geographic information systems
Q Science > QH Natural history - Biology > Ecology > Sea. Marine ecology. Ocean ecology
Divisions: Universiti Teknologi MARA, Kelantan > Machang Campus > Faculty of Information Management
Journal or Publication Title: APS Proceedings
ISSN: 003428568-X
Volume: 1
Number: 1
Page Range: pp. 254-260
Keywords: Big data, Geographic information systems, Jellyfish blooms
Date: 2022
URI: https://ir.uitm.edu.my/id/eprint/136311
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