Scholarlink

<p>This study investigates the application of nine widely used digital recursive filters to separate daily baseflow. Based on precipitation and streamflow data from a local station regarding the period 2010–2021, we compared the filters through efficiency coefficients (i.e. Nash-Sutcliffe coefficient (NSE) and coefficient of determination (R<sup>2</sup>)). The results show relevant differences in baseflow derived from different methods. Among the recursive algorithms studied, the Furey &amp; Gupta method estimated the lowest baseflow (annual average of 6.41 m<sup>3</sup>/s, corresponding to 17% of the discharge). In contrast, the Lyne &amp; Holic and Fixed Interval methods estimated the highest baseflow (30.96 m<sup>3</sup>/s and 30.11 m<sup>3</sup>/s, respectively, corresponding to 85% and 82% of the discharge). The Sliding Interval method, with an NSE of 0.88 and an R<sup>2</sup> of 0.83, was selected as the most appropriate for estimating baseflow. Although digital recursive filters are a useful automated approach for baseflow separation.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Efficiency of recursive digital filters for estimating baseflow: evaluation based on a mixed land use watershed

  • 期刊论文

  • 发表日期：

    2025年7月1日

查看全文
  • Ali Haghizadeh,
  • Leila Ghasemi,
  • Carla S. S. Ferreira

摘要

This study investigates the application of nine widely used digital recursive filters to separate daily baseflow. Based on precipitation and streamflow data from a local station regarding the period 2010–2021, we compared the filters through efficiency coefficients (i.e. Nash-Sutcliffe coefficient (NSE) and coefficient of determination (R2)). The results show relevant differences in baseflow derived from different methods. Among the recursive algorithms studied, the Furey & Gupta method estimated the lowest baseflow (annual average of 6.41 m3/s, corresponding to 17% of the discharge). In contrast, the Lyne & Holic and Fixed Interval methods estimated the highest baseflow (30.96 m3/s and 30.11 m3/s, respectively, corresponding to 85% and 82% of the discharge). The Sliding Interval method, with an NSE of 0.88 and an R2 of 0.83, was selected as the most appropriate for estimating baseflow. Although digital recursive filters are a useful automated approach for baseflow separation.