Loading…

Calibrating the Lyne-Hollick filter for baseflow separation based on catchment response time

•Catchment response time proved to be useful to calibrate the Lyne-Hollick filter.•The calibrated parameter values are higher compared to those published before.•Sensitivity analysis showed that using 12 events is recommended for calibration.•The calibration routine is downloadable for Matlab. The p...

Full description

Saved in:
Bibliographic Details
Published in:Journal of hydrology (Amsterdam) 2024-07, Vol.638, p.131483, Article 131483
Main Authors: Nagy, Eszter D., Szilagyi, Jozsef, Torma, Peter
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites cdi_FETCH-LOGICAL-c234t-7f7bacd91163e64a499e698ea87b5bb74cd138dd20a0feb0875854e0e978196a3
container_end_page
container_issue
container_start_page 131483
container_title Journal of hydrology (Amsterdam)
container_volume 638
creator Nagy, Eszter D.
Szilagyi, Jozsef
Torma, Peter
description •Catchment response time proved to be useful to calibrate the Lyne-Hollick filter.•The calibrated parameter values are higher compared to those published before.•Sensitivity analysis showed that using 12 events is recommended for calibration.•The calibration routine is downloadable for Matlab. The physically meaningful separation of baseflow from the observed streamflow time series is still an unresolved problem in hydrology. This study provides a novel method that builds upon catchment response time to formulate an optimization criterion for calibrating the Lyne-Hollick filter. Catchment response time parameters, including time of concentration (Tc) and time to equilibrium (Te), can be derived from observed precipitation and discharge time series. A range for the ratio of these two has already been derived on a physical basis. In the presented approach, the parameter of the Lyne-Hollick filter is calibrated so that the ratio of Tc and Te falls between a physically plausible range. The proposed method was tested in 25 catchments, and the results were compared to those derived in a previous study. The Pearson correlation coefficient improved from 0.654 to 0.862 between Tc and the lag time when applying the proposed calibration procedure.
doi_str_mv 10.1016/j.jhydrol.2024.131483
format article
fullrecord <record><control><sourceid>elsevier_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1016_j_jhydrol_2024_131483</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0022169424008795</els_id><sourcerecordid>S0022169424008795</sourcerecordid><originalsourceid>FETCH-LOGICAL-c234t-7f7bacd91163e64a499e698ea87b5bb74cd138dd20a0feb0875854e0e978196a3</originalsourceid><addsrcrecordid>eNqFkEtLAzEUhbNQsFZ_gpA_MGMyyTyyEim-oOBGd0LI48ZmTCclCUr_vVPbvXdzLpd7DocPoRtKakpodzvW42ZvUwx1QxpeU0b5wM7QgpCmqWgn-AW6zHkk8zDGF-hjpYLXSRU_feKyAbzeT1A9xxC8-cLOhwIJu5iwVhlciD84w04d_uP0d7N4XowqZrOFqeAEeRenDLj4LVyhc6dChuuTLtH748Pb6rlavz69rO7XlWkYL1Xveq2MFZR2DDquuBDQiQHU0OtW654bS9lgbUMUcaDJ0LdDy4GA6AcqOsWWqD3mmhRzTuDkLvmtSntJiTxgkaM8YZEHLPKIZfbdHX0wl_v2kGQ2HiYD1icwRdro_0n4BSjGcgA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Calibrating the Lyne-Hollick filter for baseflow separation based on catchment response time</title><source>ScienceDirect Freedom Collection 2022-2024</source><creator>Nagy, Eszter D. ; Szilagyi, Jozsef ; Torma, Peter</creator><creatorcontrib>Nagy, Eszter D. ; Szilagyi, Jozsef ; Torma, Peter</creatorcontrib><description>•Catchment response time proved to be useful to calibrate the Lyne-Hollick filter.•The calibrated parameter values are higher compared to those published before.•Sensitivity analysis showed that using 12 events is recommended for calibration.•The calibration routine is downloadable for Matlab. The physically meaningful separation of baseflow from the observed streamflow time series is still an unresolved problem in hydrology. This study provides a novel method that builds upon catchment response time to formulate an optimization criterion for calibrating the Lyne-Hollick filter. Catchment response time parameters, including time of concentration (Tc) and time to equilibrium (Te), can be derived from observed precipitation and discharge time series. A range for the ratio of these two has already been derived on a physical basis. In the presented approach, the parameter of the Lyne-Hollick filter is calibrated so that the ratio of Tc and Te falls between a physically plausible range. The proposed method was tested in 25 catchments, and the results were compared to those derived in a previous study. The Pearson correlation coefficient improved from 0.654 to 0.862 between Tc and the lag time when applying the proposed calibration procedure.</description><identifier>ISSN: 0022-1694</identifier><identifier>DOI: 10.1016/j.jhydrol.2024.131483</identifier><language>eng</language><publisher>Elsevier B.V</publisher><subject>Baseflow separation ; Catchment response time ; Digital recursive filter ; Kinematic wave theory ; Lag time ; Lyne-Hollick filter ; Time of concentration ; Time to equilibrium</subject><ispartof>Journal of hydrology (Amsterdam), 2024-07, Vol.638, p.131483, Article 131483</ispartof><rights>2024 The Author(s)</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c234t-7f7bacd91163e64a499e698ea87b5bb74cd138dd20a0feb0875854e0e978196a3</cites><orcidid>0000-0003-4449-0470 ; 0000-0001-9282-6931</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27922,27923</link.rule.ids></links><search><creatorcontrib>Nagy, Eszter D.</creatorcontrib><creatorcontrib>Szilagyi, Jozsef</creatorcontrib><creatorcontrib>Torma, Peter</creatorcontrib><title>Calibrating the Lyne-Hollick filter for baseflow separation based on catchment response time</title><title>Journal of hydrology (Amsterdam)</title><description>•Catchment response time proved to be useful to calibrate the Lyne-Hollick filter.•The calibrated parameter values are higher compared to those published before.•Sensitivity analysis showed that using 12 events is recommended for calibration.•The calibration routine is downloadable for Matlab. The physically meaningful separation of baseflow from the observed streamflow time series is still an unresolved problem in hydrology. This study provides a novel method that builds upon catchment response time to formulate an optimization criterion for calibrating the Lyne-Hollick filter. Catchment response time parameters, including time of concentration (Tc) and time to equilibrium (Te), can be derived from observed precipitation and discharge time series. A range for the ratio of these two has already been derived on a physical basis. In the presented approach, the parameter of the Lyne-Hollick filter is calibrated so that the ratio of Tc and Te falls between a physically plausible range. The proposed method was tested in 25 catchments, and the results were compared to those derived in a previous study. The Pearson correlation coefficient improved from 0.654 to 0.862 between Tc and the lag time when applying the proposed calibration procedure.</description><subject>Baseflow separation</subject><subject>Catchment response time</subject><subject>Digital recursive filter</subject><subject>Kinematic wave theory</subject><subject>Lag time</subject><subject>Lyne-Hollick filter</subject><subject>Time of concentration</subject><subject>Time to equilibrium</subject><issn>0022-1694</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNqFkEtLAzEUhbNQsFZ_gpA_MGMyyTyyEim-oOBGd0LI48ZmTCclCUr_vVPbvXdzLpd7DocPoRtKakpodzvW42ZvUwx1QxpeU0b5wM7QgpCmqWgn-AW6zHkk8zDGF-hjpYLXSRU_feKyAbzeT1A9xxC8-cLOhwIJu5iwVhlciD84w04d_uP0d7N4XowqZrOFqeAEeRenDLj4LVyhc6dChuuTLtH748Pb6rlavz69rO7XlWkYL1Xveq2MFZR2DDquuBDQiQHU0OtW654bS9lgbUMUcaDJ0LdDy4GA6AcqOsWWqD3mmhRzTuDkLvmtSntJiTxgkaM8YZEHLPKIZfbdHX0wl_v2kGQ2HiYD1icwRdro_0n4BSjGcgA</recordid><startdate>202407</startdate><enddate>202407</enddate><creator>Nagy, Eszter D.</creator><creator>Szilagyi, Jozsef</creator><creator>Torma, Peter</creator><general>Elsevier B.V</general><scope>6I.</scope><scope>AAFTH</scope><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0003-4449-0470</orcidid><orcidid>https://orcid.org/0000-0001-9282-6931</orcidid></search><sort><creationdate>202407</creationdate><title>Calibrating the Lyne-Hollick filter for baseflow separation based on catchment response time</title><author>Nagy, Eszter D. ; Szilagyi, Jozsef ; Torma, Peter</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c234t-7f7bacd91163e64a499e698ea87b5bb74cd138dd20a0feb0875854e0e978196a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Baseflow separation</topic><topic>Catchment response time</topic><topic>Digital recursive filter</topic><topic>Kinematic wave theory</topic><topic>Lag time</topic><topic>Lyne-Hollick filter</topic><topic>Time of concentration</topic><topic>Time to equilibrium</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nagy, Eszter D.</creatorcontrib><creatorcontrib>Szilagyi, Jozsef</creatorcontrib><creatorcontrib>Torma, Peter</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>CrossRef</collection><jtitle>Journal of hydrology (Amsterdam)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nagy, Eszter D.</au><au>Szilagyi, Jozsef</au><au>Torma, Peter</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Calibrating the Lyne-Hollick filter for baseflow separation based on catchment response time</atitle><jtitle>Journal of hydrology (Amsterdam)</jtitle><date>2024-07</date><risdate>2024</risdate><volume>638</volume><spage>131483</spage><pages>131483-</pages><artnum>131483</artnum><issn>0022-1694</issn><abstract>•Catchment response time proved to be useful to calibrate the Lyne-Hollick filter.•The calibrated parameter values are higher compared to those published before.•Sensitivity analysis showed that using 12 events is recommended for calibration.•The calibration routine is downloadable for Matlab. The physically meaningful separation of baseflow from the observed streamflow time series is still an unresolved problem in hydrology. This study provides a novel method that builds upon catchment response time to formulate an optimization criterion for calibrating the Lyne-Hollick filter. Catchment response time parameters, including time of concentration (Tc) and time to equilibrium (Te), can be derived from observed precipitation and discharge time series. A range for the ratio of these two has already been derived on a physical basis. In the presented approach, the parameter of the Lyne-Hollick filter is calibrated so that the ratio of Tc and Te falls between a physically plausible range. The proposed method was tested in 25 catchments, and the results were compared to those derived in a previous study. The Pearson correlation coefficient improved from 0.654 to 0.862 between Tc and the lag time when applying the proposed calibration procedure.</abstract><pub>Elsevier B.V</pub><doi>10.1016/j.jhydrol.2024.131483</doi><orcidid>https://orcid.org/0000-0003-4449-0470</orcidid><orcidid>https://orcid.org/0000-0001-9282-6931</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0022-1694
ispartof Journal of hydrology (Amsterdam), 2024-07, Vol.638, p.131483, Article 131483
issn 0022-1694
language eng
recordid cdi_crossref_primary_10_1016_j_jhydrol_2024_131483
source ScienceDirect Freedom Collection 2022-2024
subjects Baseflow separation
Catchment response time
Digital recursive filter
Kinematic wave theory
Lag time
Lyne-Hollick filter
Time of concentration
Time to equilibrium
title Calibrating the Lyne-Hollick filter for baseflow separation based on catchment response time
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-09T14%3A22%3A25IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-elsevier_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Calibrating%20the%20Lyne-Hollick%20filter%20for%20baseflow%20separation%20based%20on%20catchment%20response%20time&rft.jtitle=Journal%20of%20hydrology%20(Amsterdam)&rft.au=Nagy,%20Eszter%20D.&rft.date=2024-07&rft.volume=638&rft.spage=131483&rft.pages=131483-&rft.artnum=131483&rft.issn=0022-1694&rft_id=info:doi/10.1016/j.jhydrol.2024.131483&rft_dat=%3Celsevier_cross%3ES0022169424008795%3C/elsevier_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c234t-7f7bacd91163e64a499e698ea87b5bb74cd138dd20a0feb0875854e0e978196a3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true