An Automatic Parameter Calibration Method for the TUW Model in Streamflow Modeling

Muhammet Yılmaz

Makale detayları

An Automatic Parameter Calibration Method for the TUW Model in Streamflow Modeling

Yazarlar:

Muhammet Yılmaz

Yayıncı:

Igdir University

Ana Başlıklar:

Su Kaynakları Mühendisliği

Dergi:

Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi Vol.14 Issue 2, pp.773-782

Belge Tipi:

Makale

Yayın Tarihi:

1/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001317808

pISSN:

2536-4618

Anahtar kelimeler:

Özet:

 The accurate modelling of streamflow is highly significant for hydrological monitoring, water resource management, and climate change studies. Streamflow simulation with lumped hydrological models has been widely performed by researchers. However, the parameter calibration process is a major obstacle in these models. In the present study, a conceptual rainfall-runoff model TUW model was used to simulate streamflow in the sub-basin of the Upper Euphrates Basin during the time period 1991-2009. The Differential Evolution Optimization DEoptim algorithm were tested for the automatic parameter calibration of the lumped version of TUW model, in the study area. The model is calibrated using two objective function named and NashSutcliffe efficiency NSE and Kling-Gupta Efficiency KGE. Additionally, percent bias PBias was used to evaluate the performance of the model. For the objective function NSE, calibration and validation results indicated good agreement between observed and simulated streamflow data with NSE, 0.76 and 0.76 and KGE, 0.73 and 0.75 and PBias , -0.8 and -7.5, respectively. Similarly for KGE objective function, the calibration results produced a NSE of 0.71, KGE of 0.85, and PBias  of -0.9, while validation results revealed a NSE of 0.72, KGE of 0.84, and PBias  of -7.2. It can be concluded that the applicability of the DEoptim algorithm for the estimation of the parameters of the TUW model is confirmed by the case study. The findings of the study can serve as a guide for researchers and be useful in achieving watershed management goals.

 The accurate modelling of streamflow is highly significant for hydrological monitoring, water resource management, and climate change studies. Streamflow simulation with lumped hydrological models has been widely performed by researchers. However, the parameter calibration process is a major obstacle in these models. In the present study, a conceptual rainfall-runoff model TUW model was used to simulate streamflow in the sub-basin of the Upper Euphrates Basin during the time period 1991-2009. The Differential Evolution Optimization DEoptim algorithm were tested for the automatic parameter calibration of the lumped version of TUW model, in the study area. The model is calibrated using two objective function named and NashSutcliffe efficiency NSE and Kling-Gupta Efficiency KGE. Additionally, percent bias PBias was used to evaluate the performance of the model. For the objective function NSE, calibration and validation results indicated good agreement between observed and simulated streamflow data with NSE, 0.76 and 0.76 and KGE, 0.73 and 0.75 and PBias , -0.8 and -7.5, respectively. Similarly for KGE objective function, the calibration results produced a NSE of 0.71, KGE of 0.85, and PBias  of -0.9, while validation results revealed a NSE of 0.72, KGE of 0.84, and PBias  of -7.2. It can be concluded that the applicability of the DEoptim algorithm for the estimation of the parameters of the TUW model is confirmed by the case study. The findings of the study can serve as a guide for researchers and be useful in achieving watershed management goals.

 The accurate modelling of streamflow is highly significant for hydrological monitoring, water resource management, and climate change studies. Streamflow simulation with lumped hydrological models has been widely performed by researchers. However, the parameter calibration process is a major obstacle in these models. In the present study, a conceptual rainfall-runoff model TUW model was used to simulate streamflow in the sub-basin of the Upper Euphrates Basin during the time period 1991-2009. The Differential Evolution Optimization DEoptim algorithm were tested for the automatic parameter calibration of the lumped version of TUW model, in the study area. The model is calibrated using two objective function named and NashSutcliffe efficiency NSE and Kling-Gupta Efficiency KGE. Additionally, percent bias PBias was used to evaluate the performance of the model. For the objective function NSE, calibration and validation results indicated good agreement between observed and simulated streamflow data with NSE, 0.76 and 0.76 and KGE, 0.73 and 0.75 and PBias , -0.8 and -7.5, respectively. Similarly for KGE objective function, the calibration results produced a NSE of 0.71, KGE of 0.85, and PBias  of -0.9, while validation results revealed a NSE of 0.72, KGE of 0.84, and PBias  of -7.2. It can be concluded that the applicability of the DEoptim algorithm for the estimation of the parameters of the TUW model is confirmed by the case study. The findings of the study can serve as a guide for researchers and be useful in achieving watershed management goals.

 The accurate modelling of streamflow is highly significant for hydrological monitoring, water resource management, and climate change studies. Streamflow simulation with lumped hydrological models has been widely performed by researchers. However, the parameter calibration process is a major obstacle in these models. In the present study, a conceptual rainfall-runoff model TUW model was used to simulate streamflow in the sub-basin of the Upper Euphrates Basin during the time period 1991-2009. The Differential Evolution Optimization DEoptim algorithm were tested for the automatic parameter calibration of the lumped version of TUW model, in the study area. The model is calibrated using two objective function named and NashSutcliffe efficiency NSE and Kling-Gupta Efficiency KGE. Additionally, percent bias PBias was used to evaluate the performance of the model. For the objective function NSE, calibration and validation results indicated good agreement between observed and simulated streamflow data with NSE, 0.76 and 0.76 and KGE, 0.73 and 0.75 and PBias , -0.8 and -7.5, respectively. Similarly for KGE objective function, the calibration results produced a NSE of 0.71, KGE of 0.85, and PBias  of -0.9, while validation results revealed a NSE of 0.72, KGE of 0.84, and PBias  of -7.2. It can be concluded that the applicability of the DEoptim algorithm for the estimation of the parameters of the TUW model is confirmed by the case study. The findings of the study can serve as a guide for researchers and be useful in achieving watershed management goals.

Makale detayları

An Automatic Parameter Calibration Method for the TUW Model in Streamflow Modeling

Yazarlar:

Muhammet Yılmaz

Yayıncı:

Igdir University

Ana Başlıklar:

Su Kaynakları Mühendisliği

Dergi:

Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi Vol.14 Issue 2, pp.773-782

Belge Tipi:

Makale

Yayın Tarihi:

1/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001317808

pISSN:

2536-4618

TUW model

DEoptim algorithm

Streamflow

Objective function

Türkiye

Sayı

Makale detayları

An Automatic Parameter Calibration Method for the TUW Model in Streamflow Modeling

Yazarlar: Muhammet Yılmaz

Yayıncı: Igdir University

Ana Başlıklar: Su Kaynakları Mühendisliği

Dergi: Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi Vol.14 Issue 2, pp.773-782

Belge Tipi: Makale

Yayın Tarihi: 1/2024

Belge Dili: İngilizce

Document ID (Org No.): 2001317808

pISSN: 2536-4618

TUW model

DEoptim algorithm

Streamflow

Objective function

Türkiye

Sayı

Yazarlar:

Muhammet Yılmaz

Yayıncı:

Igdir University

Ana Başlıklar:

Su Kaynakları Mühendisliği

Dergi:

Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi Vol.14 Issue 2, pp.773-782

Belge Tipi:

Makale

Yayın Tarihi:

1/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001317808

pISSN:

2536-4618