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Correlation Analysis between Hydrologic Flow Metrics and Benthic Macroinvertebrates Index (BMI) in the Han River Basin, South Korea

Author

Listed:
  • Siyeon Kim

    (Department of Civil, Environmental and Plant Engineering, Konkuk University, Seoul 05029, Korea)

  • Jiwan Lee

    (Department of Civil, Environmental and Plant Engineering, Konkuk University, Seoul 05029, Korea)

  • Seol Jeon

    (Department of Civil, Environmental and Plant Engineering, Konkuk University, Seoul 05029, Korea)

  • Moonyoung Lee

    (Department of Civil, Environmental and Plant Engineering, Konkuk University, Seoul 05029, Korea)

  • Heejin An

    (Department of Civil, Environmental and Plant Engineering, Konkuk University, Seoul 05029, Korea)

  • Kichul Jung

    (Division for Integrated Water Management, Korea Environment Institute, Sejong 30147, Korea)

  • Seongjoon Kim

    (Division of Civil and Environmental Engineering, Konkuk University, Seoul 05029, Korea)

  • Daeryong Park

    (Division of Civil and Environmental Engineering, Konkuk University, Seoul 05029, Korea)

Abstract

In aquatic ecosystems, flow is one of the most essential elements of aquatic species. It is necessary to explore the correlation with ecological indices for the management guidelines of aquatic ecosystems using flow because aquatic ecosystem data are limited. This study calculated the flow metrics using the flow and analyzed the correlation between the flow metrics and the ecological index. This study attempted to understand the correlation between the ecologic index and flow metrics. Flow metrics were quantified flow in various ways, depending on the size, frequency, and design of the flow. The characteristics of flow metrics were identified and the correlation with the ecological index was studied. The Pearson correlation coefficient values for 22 watersheds were compared using the flow data from 2008 to 2015 and the ecological index data from the BMI. In watersheds with high imperviousness, the Pearson correlation coefficient was negative, which indicated that the correlation in this study provides basic data for the quantitative evaluation of the river ecosystem by identifying the relationship between imperviousness and BMI. As a result, the highest Pearson correlation coefficient values of flow metrics were related to the flow coefficient of variation (MACV13-16; MHCV; MLCV).

Suggested Citation

  • Siyeon Kim & Jiwan Lee & Seol Jeon & Moonyoung Lee & Heejin An & Kichul Jung & Seongjoon Kim & Daeryong Park, 2021. "Correlation Analysis between Hydrologic Flow Metrics and Benthic Macroinvertebrates Index (BMI) in the Han River Basin, South Korea," Sustainability, MDPI, vol. 13(20), pages 1-17, October.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:20:p:11477-:d:658537
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    References listed on IDEAS

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    1. So Young Woo & Chung Gil Jung & Ji Wan Lee & Seong Joon Kim, 2019. "Evaluation of Watershed Scale Aquatic Ecosystem Health by SWAT Modeling and Random Forest Technique," Sustainability, MDPI, vol. 11(12), pages 1-15, June.
    2. Se-Rin Park & Soon-Jin Hwang & Kyungjin An & Sang-Woo Lee, 2021. "Identifying Key Watershed Characteristics That Affect the Biological Integrity of Streams in the Han River Watershed, Korea," Sustainability, MDPI, vol. 13(6), pages 1-15, March.
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    Cited by:

    1. Soohong Kim & Kichul Jung & Hyeongsik Kang, 2022. "Response of Fish Community to Building Block Methodology Mimicking Natural Flow Regime Patterns in Nakdong River in South Korea," Sustainability, MDPI, vol. 14(6), pages 1-23, March.
    2. Yang Zou & Dehua Mao, 2022. "Simulation of Freshwater Ecosystem Service Flows under Land-Use Change: A Case Study of Lianshui River Basin, China," Sustainability, MDPI, vol. 14(6), pages 1-15, March.

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