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Estimating the Temporal Impacts of Nearshore Fisheries on Coastal Ocean-Sourced Waste Accumulation in South Korea Using Stepwise Regression

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  • Seung-Hyun Lee

    (Maritime Safety and Environment Research Center, Korea Research Institute of Ships & Ocean Engineering (KRISO), 32, Yuseong-daero 1312 beon-gil, Yuseong-gu, Daejeon 34103, Republic of Korea)

  • Seung-Kweon Hong

    (Department of Industrial and Management Engineering, Korea National University of Transportation (KNUT), Chungju 27469, Chungbuk, Republic of Korea)

  • Jongsung Lee

    (Department of Industrial and Management Engineering, Korea National University of Transportation (KNUT), Chungju 27469, Chungbuk, Republic of Korea)

  • Ji-Won Yu

    (Maritime Safety and Environment Research Center, Korea Research Institute of Ships & Ocean Engineering (KRISO), 32, Yuseong-daero 1312 beon-gil, Yuseong-gu, Daejeon 34103, Republic of Korea)

  • Hong-Tae Kim

    (Maritime Digital Transformation Research Center, Korea Research Institute of Ships & Ocean Engineering (KRISO), 32, Yuseong-daero 1312 beon-gil, Yuseong-gu, Daejeon 34103, Republic of Korea)

  • Tae-Hwan Joung

    (Research Strategy Division, Korea Research Institute of Ships & Ocean Engineering (KRISO), 32, Yuseong-daero 1312 beon-gil, Yuseong-gu, Daejeon 34103, Republic of Korea)

Abstract

Fishing activities have been recognized as one of the primary contributors to marine environmental pollution. Studies have been conducted on the impact of fishing activities on the accumulation of marine debris, but most of these studies have been conducted at specific points in time. This study collected marine debris data over four years in the coastal area of Korea. Data on the magnitude of nearshore fishing activities during the same period were collected and analyzed. Regression models were constructed to explore the impact of nearshore fishing activities on coastal waste accumulation over time. This research aimed to understand the influence of nearshore fishing activities on the accumulation of ocean-sourced coastal waste, leading to the development of a time series regression model. The results indicated that time series models have substantially more explanatory power compared to conventional models, emphasizing the importance of temporal considerations in quantifying the relationship between fishing activities and coastal litter over time.

Suggested Citation

  • Seung-Hyun Lee & Seung-Kweon Hong & Jongsung Lee & Ji-Won Yu & Hong-Tae Kim & Tae-Hwan Joung, 2024. "Estimating the Temporal Impacts of Nearshore Fisheries on Coastal Ocean-Sourced Waste Accumulation in South Korea Using Stepwise Regression," Sustainability, MDPI, vol. 16(13), pages 1-18, July.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:13:p:5663-:d:1427711
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    References listed on IDEAS

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    1. Charrad, Malika & Ghazzali, Nadia & Boiteau, Véronique & Niknafs, Azam, 2014. "NbClust: An R Package for Determining the Relevant Number of Clusters in a Data Set," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 61(i06).
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