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2025 Vol.67, Issue 5 Preview Page
Estimation of a Meso-scale Stream Habitat Suitability Using Fuzzy Logic Based HMU Clusters

퍼지로직 기반의 HMU 분류를 이용한 Meso-scale 하천 서식처 적합성 평가

Junheon Chaa
,
Jinseok Parkb
,
Seongju Jangc
,
Hyeokjin Leed
,
Jajune Goue
,
Inhong Songf†
차 준헌a
,
박 진석b
,
장 성주c
,
이 혁진d
,
고 재준e
,
송 인홍f†
aBS, Department of Rural Systems Engineering, College of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea
bPh.D., College of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea
cPh.D. Student, Department of Rural Systems Engineering, Global Smart Farm Convergence Major, Seoul National University
dPh.D. Student, Department of Rural Systems Engineering, Global Smart Farm Convergence Major, Seoul National University
eMS Student, Department of Rural Systems Engineering, Seoul National University
fAssociate Professor, Department of Rural Systems Engineering, Global Smart Farm Convergence Major, Research Institute of Agriculture and Life sciences, Seoul National University

* These authors equally contributed to this manuscript.

†Corresponding author Tel.: +82-2-880-4581, Fax: +82-2-873-2087 E-mail: inhongs@snu.ac.kr
2025. pp. 41-52
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Abstract

The need for precise methodologies to assess the health of river ecosystems has grown, leading to the development of Meso-scale habitat evaluation as an important approach. The objectives of this study were to improve fuzzy logic for a Hydromorphological Unit (HMU) classification method considering multiple physical habitat variables, and to analyze meso-scale stream habitat suitability under varying streamflow conditions using the developed Fuzzy logic. The study was conducted on the Bokha River, where a HEC-RAS 2D model was used to simulate depth and velocity, and habitat suitability indices were derived based on fuzzy logic using depth and velocity data from simulations. A modified Fuzzy Logic algorithm was employed to flexibly and precisely account for the interactions between hydrological characteristics and environmental variables in Meso-scale habitat evaluation. The Fuzzy Logic-based Meso-scale river habitat evaluation model successfully distinguished habitat types based on velocity and depth data and visualized habitat changes under different flow conditions. The evaluation using the Centroid method highlighted the potential to integrate ecological factors and physical environmental conditions into habitat assessment, offering practical insights for river ecosystem restoration and management. This study is expected to contribute foundational data for future river ecosystem management and restoration efforts.

Keywords
Habitat suitability
meso-scale habitat evaluation
river habitat classification
streamflow simulation
Hydro-Morphological Unit (HMU)
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Information
  • Publisher :The Korean Society of Agricultural Engineers
  • Publisher(Ko) :한국농공학회
  • Journal Title :Journal of Korean Society of Agricultural Engineers
  • Journal Title(Ko) :한국농공학회논문집
  • Volume : 67
  • No :5
  • Pages :41-52
  • Received Date : 2025-05-08
  • Revised Date : 2025-07-24
  • Accepted Date : 2025-07-24
  • DOI :https://doi.org/10.5389/KSAE.2025.67.5.041
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