Evaluation of fish habitat suitability based on stream hydrodynamics and water quality using SWAT and HEC-RAS linked models

Author:

Park Jinseok1,Jang Seongju1,Lee Hyeokjin1,Gou Jaejun1,Song Inhong1

Affiliation:

1. Seoul National University

Abstract

Abstract The objective of this study was to evaluate fish habitat suitability by simulating hydrodynamic and water quality factors using integration model of SWAT and HEC-RAS models considering time-series analysis. The 2.9 km reach of the Bokha stream was selected for the habitat evaluation of Zacco platypus, a dominant fish species of the stream reach. Streamflow and water quality at stream inlet were simulated with the SWAT model and subsequent cross-sectional stream velocity and water depth along with water temperature and dissolved oxygen (DO) were estimated using the HEC-RAS. The linked model was calibrated and validated for the 10 years period from 2013 to 2022. The aquatic habitat was assessed using the weighted usable area (WUA) and time-series analysis was conducted considering the continuity of stream habitat. Overall, SWAT and HEC-RAS simulation accuracy were evaluated as satisfactory or higher in all habitat influence indicators. High water temperature appeared to be the most influential habitat indicator of which impact was particularly pronounced in shallow streamflow areas during hot summer seasons. The time-series analysis identified a 28% threshold of WUA/WUAmax, equivalent to a streamflow of 0.48 m³/s, as the minimum ecological streamflow to mitigate the impact of water temperature rise. The proposed method by linking watershed-stream models could serve as a useful tool for ecological stream management.

Publisher

Research Square Platform LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3