Calibration of hydrological models for ungauged catchments by automatic clustering using a differential evolution algorithm: The Gorganrood river basin case study
The hydrological model calibration is a challenging task, especially in ungauged catchments. The regionalization calibration methods can be used to estimate the parameters of the model in ungauged sub-catchments. In this article, the model of ungauged sub-catchments is calibrated by a regionalizatio...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IWA Publishing
2023-05-01
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| Series: | Journal of Hydroinformatics |
| Subjects: | |
| Online Access: | http://jhydro.iwaponline.com/content/25/3/645 |
| _version_ | 1797200664465506304 |
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| author | Zahra Alizadeh Jafar Yazdi |
| author_facet | Zahra Alizadeh Jafar Yazdi |
| author_sort | Zahra Alizadeh |
| collection | DOAJ |
| description | The hydrological model calibration is a challenging task, especially in ungauged catchments. The regionalization calibration methods can be used to estimate the parameters of the model in ungauged sub-catchments. In this article, the model of ungauged sub-catchments is calibrated by a regionalization approach based on automatic clustering. Under the clustering procedure, gauged and ungauged sub-catchments are grouped based on their physical characteristics and similarity. The optimal number of clusters is determined using an automatic differential evolution algorithm-based clustering. Considering obtained five clusters, the value of the silhouette measure is equal to 0.56, which is an acceptable value for goodness of clustering. The calibration process is conducted according to minimizing errors in simulated peak flow and total flow volume. The Storm Water Management Model is applied to calibrate a set of 53 sub-catchments in the Gorganrood river basin. Comparing graphically and statistically simulated and observed runoff values and also calculating the value of the silhouette coefficient demonstrate that the proposed methodology is a promising approach for hydrological model calibration in ungauged catchments.
HIGHLIGHTS
The model of ungauged sub-catchments is calibrated by a regionalization approach based on automatic clustering.;
The optimal number of clusters is determined using an automatic differential evolution algorithm-based clustering.;
Comparing graphically and statistically simulated and observed runoff values and also calculating the value of silhouette coefficient proved the superiority of automatic clustering differential evolution in clustering.; |
| first_indexed | 2024-03-13T07:05:30Z |
| format | Article |
| id | doaj.art-7d0d11e839004e5d8be1ad13c057c4c4 |
| institution | Directory Open Access Journal |
| issn | 1464-7141 1465-1734 |
| language | English |
| last_indexed | 2024-04-24T07:35:15Z |
| publishDate | 2023-05-01 |
| publisher | IWA Publishing |
| record_format | Article |
| series | Journal of Hydroinformatics |
| spelling | doaj.art-7d0d11e839004e5d8be1ad13c057c4c42024-04-20T06:29:16ZengIWA PublishingJournal of Hydroinformatics1464-71411465-17342023-05-0125364566210.2166/hydro.2023.081081Calibration of hydrological models for ungauged catchments by automatic clustering using a differential evolution algorithm: The Gorganrood river basin case studyZahra Alizadeh0Jafar Yazdi1 Faculty of Civil, Water and Environmental Engineering, Shahid Beheshti University, Tehran, Iran Faculty of Civil, Water and Environmental Engineering, Shahid Beheshti University, Tehran, Iran The hydrological model calibration is a challenging task, especially in ungauged catchments. The regionalization calibration methods can be used to estimate the parameters of the model in ungauged sub-catchments. In this article, the model of ungauged sub-catchments is calibrated by a regionalization approach based on automatic clustering. Under the clustering procedure, gauged and ungauged sub-catchments are grouped based on their physical characteristics and similarity. The optimal number of clusters is determined using an automatic differential evolution algorithm-based clustering. Considering obtained five clusters, the value of the silhouette measure is equal to 0.56, which is an acceptable value for goodness of clustering. The calibration process is conducted according to minimizing errors in simulated peak flow and total flow volume. The Storm Water Management Model is applied to calibrate a set of 53 sub-catchments in the Gorganrood river basin. Comparing graphically and statistically simulated and observed runoff values and also calculating the value of the silhouette coefficient demonstrate that the proposed methodology is a promising approach for hydrological model calibration in ungauged catchments. HIGHLIGHTS The model of ungauged sub-catchments is calibrated by a regionalization approach based on automatic clustering.; The optimal number of clusters is determined using an automatic differential evolution algorithm-based clustering.; Comparing graphically and statistically simulated and observed runoff values and also calculating the value of silhouette coefficient proved the superiority of automatic clustering differential evolution in clustering.;http://jhydro.iwaponline.com/content/25/3/645automatic clusteringdifferential evolution (de)gorganrood river basinhydrologic model calibrationswmmungauged catchments |
| spellingShingle | Zahra Alizadeh Jafar Yazdi Calibration of hydrological models for ungauged catchments by automatic clustering using a differential evolution algorithm: The Gorganrood river basin case study Journal of Hydroinformatics automatic clustering differential evolution (de) gorganrood river basin hydrologic model calibration swmm ungauged catchments |
| title | Calibration of hydrological models for ungauged catchments by automatic clustering using a differential evolution algorithm: The Gorganrood river basin case study |
| title_full | Calibration of hydrological models for ungauged catchments by automatic clustering using a differential evolution algorithm: The Gorganrood river basin case study |
| title_fullStr | Calibration of hydrological models for ungauged catchments by automatic clustering using a differential evolution algorithm: The Gorganrood river basin case study |
| title_full_unstemmed | Calibration of hydrological models for ungauged catchments by automatic clustering using a differential evolution algorithm: The Gorganrood river basin case study |
| title_short | Calibration of hydrological models for ungauged catchments by automatic clustering using a differential evolution algorithm: The Gorganrood river basin case study |
| title_sort | calibration of hydrological models for ungauged catchments by automatic clustering using a differential evolution algorithm the gorganrood river basin case study |
| topic | automatic clustering differential evolution (de) gorganrood river basin hydrologic model calibration swmm ungauged catchments |
| url | http://jhydro.iwaponline.com/content/25/3/645 |
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