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Assessing the Resilience of Stream Ecosystems to Rainfall Impact

Author

Listed:
  • Yujin Park

    (Department of Forestry and Landscape Architecture, Konkuk University, Seoul 05029, Republic of Korea)

  • Junga Lee

    (Division of Environmental Science & Ecological Engineering, Korea University, Seoul 02841, Republic of Korea)

  • Se-Rin Park

    (Department of Forestry and Landscape Architecture, Konkuk University, Seoul 05029, Republic of Korea)

  • Sang-Woo Lee

    (Department of Forestry and Landscape Architecture, Konkuk University, Seoul 05029, Republic of Korea)

Abstract

In Republic of Korea, pronounced seasonal precipitation variability poses substantial challenges for stream water quality management and the effective utilization of water resources. Ecologically degraded streams are particularly vulnerable to these fluctuations, which can exacerbate their already fragile condition. We assessed the resilience of reference and impaired streams in response to rainfall through water quality system performance (WQSP). The WQSP is quantified as the concentration of BOD, T-N, and T-P, which represent streams’ eutrophication and anaerobic conditions and respond quickly to disturbances. Reference and impaired streams are classified according to the biological condition and habitat environment of the streams in the Han River watershed of Republic of Korea. The resilience of the stream ecosystem was estimated using WQSP, the linear multiple regression model, and the generalized additive model for rainfall and WQSP. The WQSP reference streams have a lower sensitivity to disturbance and recover more quickly from the influence of rainfall; therefore, they have higher resilience than impaired streams to rainfall events. This study facilitates understanding changes in stream ecosystems of varying conditions in response to rainfall for ensuring long-term stability and adaptability.

Suggested Citation

  • Yujin Park & Junga Lee & Se-Rin Park & Sang-Woo Lee, 2023. "Assessing the Resilience of Stream Ecosystems to Rainfall Impact," Land, MDPI, vol. 12(11), pages 1-14, November.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:11:p:2072-:d:1282450
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    References listed on IDEAS

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    1. Tran, Huy T. & Balchanos, Michael & Domerçant, Jean Charles & Mavris, Dimitri N., 2017. "A framework for the quantitative assessment of performance-based system resilience," Reliability Engineering and System Safety, Elsevier, vol. 158(C), pages 73-84.
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