Effects of Model Spatial Structure and Basin Characteristics on the Performance of Three Hydrologic Models.

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Title: Effects of Model Spatial Structure and Basin Characteristics on the Performance of Three Hydrologic Models.
Authors: Kacar, F. Sencer1,2 (AUTHOR) kacarf15@itu.edu.tr, Bayhan, Kayhan1 (AUTHOR), Gassner, Andreas3 (AUTHOR), Ergun, Enes1 (AUTHOR), Halat, Oguzhan Murat4 (AUTHOR), Balov, Mustafa Nuri4 (AUTHOR), Demirel, Mahmud Sami5 (AUTHOR), Avcuoglu, Muhammet Bahattin5 (AUTHOR), Babagiray, Salih5 (AUTHOR), Calli, Suleyman Selim6 (AUTHOR), Ghasempour, Roghayeh1 (AUTHOR), Kirca, V. S. Ozgur1 (AUTHOR), Demirel, Mehmet Cuneyd1 (AUTHOR), Booij, Martijn J.7 (AUTHOR)
Source: Water Resources Management. Nov2025, Vol. 39 Issue 14, p7573-7592. 20p.
Subject Terms: *Hydrologic models, *Lumped parameter systems, *Calibration, *Streamflow, *Distributed parameter systems, *Watersheds
Abstract: Hydrologic model selection plays a pivotal role in ensuring the reliability and accuracy of hydrologic modeling studies. This decision is mostly based on availability or researcher's prior experience rather on a systematic evaluation of model structure and basin characteristics. This study aims to address this problem by comparing the effect of basin characteristics and hydrologic model structures on the streamflow prediction performance of lumped and distributed hydrologic models. For that, two lumped hydrologic models, Genie Rural à 4 Paramètres Journalier (GR4J) and Technische Universität Wien (TUW), and a distributed hydrologic model, mesoscale Hydrologic Model (mHM), are calibrated and validated in Dandalas subbasin, where Karacasu dam construction has taken place from 1998 to 2012, and in the karstic Çakıtsuyu subbasin. The model calibration was performed using the daily Nash-Sutcliffe Efficiency (NSE) as objective function whereas the validation performance was assessed with both daily and monthly NSE and Kling-Gupta Efficiency (KGE) metrics. Our results revealed the mHM model outperformed the other two models in both the calibration and validation periods in the karstic Çakıtsuyu subbasin, achieving the highest daily NSE during calibration (0.72) and validation (0.61). Notably, GR4J outperformed in Dandalas validation (KGE: 0.53 daily, 0.66 monthly). The superior performance of mHM can be attributed to its multi-parameter regionalization approach, detailed soil structure up to six horizons, elaborated flow routing scheme and representation of geological features using multiple karstic domains. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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Header DbId: enr
DbLabel: Energy & Power Source
An: 189531466
AccessLevel: 6
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PubTypeId: academicJournal
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: Effects of Model Spatial Structure and Basin Characteristics on the Performance of Three Hydrologic Models.
– Name: Author
  Label: Authors
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  Data: <searchLink fieldCode="AR" term="%22Kacar%2C+F%2E+Sencer%22">Kacar, F. Sencer</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> kacarf15@itu.edu.tr</i><br /><searchLink fieldCode="AR" term="%22Bayhan%2C+Kayhan%22">Bayhan, Kayhan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gassner%2C+Andreas%22">Gassner, Andreas</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ergun%2C+Enes%22">Ergun, Enes</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Halat%2C+Oguzhan+Murat%22">Halat, Oguzhan Murat</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Balov%2C+Mustafa+Nuri%22">Balov, Mustafa Nuri</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Demirel%2C+Mahmud+Sami%22">Demirel, Mahmud Sami</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Avcuoglu%2C+Muhammet+Bahattin%22">Avcuoglu, Muhammet Bahattin</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Babagiray%2C+Salih%22">Babagiray, Salih</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Calli%2C+Suleyman+Selim%22">Calli, Suleyman Selim</searchLink><relatesTo>6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ghasempour%2C+Roghayeh%22">Ghasempour, Roghayeh</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kirca%2C+V%2E+S%2E+Ozgur%22">Kirca, V. S. Ozgur</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Demirel%2C+Mehmet+Cuneyd%22">Demirel, Mehmet Cuneyd</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Booij%2C+Martijn+J%2E%22">Booij, Martijn J.</searchLink><relatesTo>7</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Water+Resources+Management%22">Water Resources Management</searchLink>. Nov2025, Vol. 39 Issue 14, p7573-7592. 20p.
– Name: Subject
  Label: Subject Terms
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  Data: *<searchLink fieldCode="DE" term="%22Hydrologic+models%22">Hydrologic models</searchLink><br />*<searchLink fieldCode="DE" term="%22Lumped+parameter+systems%22">Lumped parameter systems</searchLink><br />*<searchLink fieldCode="DE" term="%22Calibration%22">Calibration</searchLink><br />*<searchLink fieldCode="DE" term="%22Streamflow%22">Streamflow</searchLink><br />*<searchLink fieldCode="DE" term="%22Distributed+parameter+systems%22">Distributed parameter systems</searchLink><br />*<searchLink fieldCode="DE" term="%22Watersheds%22">Watersheds</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Hydrologic model selection plays a pivotal role in ensuring the reliability and accuracy of hydrologic modeling studies. This decision is mostly based on availability or researcher's prior experience rather on a systematic evaluation of model structure and basin characteristics. This study aims to address this problem by comparing the effect of basin characteristics and hydrologic model structures on the streamflow prediction performance of lumped and distributed hydrologic models. For that, two lumped hydrologic models, Genie Rural à 4 Paramètres Journalier (GR4J) and Technische Universität Wien (TUW), and a distributed hydrologic model, mesoscale Hydrologic Model (mHM), are calibrated and validated in Dandalas subbasin, where Karacasu dam construction has taken place from 1998 to 2012, and in the karstic Çakıtsuyu subbasin. The model calibration was performed using the daily Nash-Sutcliffe Efficiency (NSE) as objective function whereas the validation performance was assessed with both daily and monthly NSE and Kling-Gupta Efficiency (KGE) metrics. Our results revealed the mHM model outperformed the other two models in both the calibration and validation periods in the karstic Çakıtsuyu subbasin, achieving the highest daily NSE during calibration (0.72) and validation (0.61). Notably, GR4J outperformed in Dandalas validation (KGE: 0.53 daily, 0.66 monthly). The superior performance of mHM can be attributed to its multi-parameter regionalization approach, detailed soil structure up to six horizons, elaborated flow routing scheme and representation of geological features using multiple karstic domains. [ABSTRACT FROM AUTHOR]
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=189531466
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s11269-025-04308-1
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 20
        StartPage: 7573
    Subjects:
      – SubjectFull: Hydrologic models
        Type: general
      – SubjectFull: Lumped parameter systems
        Type: general
      – SubjectFull: Calibration
        Type: general
      – SubjectFull: Streamflow
        Type: general
      – SubjectFull: Distributed parameter systems
        Type: general
      – SubjectFull: Watersheds
        Type: general
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      – TitleFull: Effects of Model Spatial Structure and Basin Characteristics on the Performance of Three Hydrologic Models.
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              Text: Nov2025
              Type: published
              Y: 2025
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