Investigating performance of the conceptual models in river hydrologic simulation

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

sheikh goudarzi mehdi; JABBARIAN AMIRI BAHMAN; AZARNIVAND HOSEIN

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Journal of Natural Environment Year:2019 | Volume:71 | Issue:4 Page(s): 509-521

Download Full-Text

Persian Verion

View:

839

Download:

Cites:

Information Journal Paper

Title

Investigating performance of the conceptual models in river hydrologic simulation

Author(s)

sheikh goudarzi mehdi | JABBARIAN AMIRI BAHMAN | AZARNIVAND HOSEIN | Issue Writer Certificate

Keywords

Rainfall-Runoff ProcessQ1

Discharge SimulationQ1

Conceptual Hydrological ModelsQ1

Automatic OptimizationQ1

Babolroud WatershedQ1

Abstract

Rainfall-runoff hydrological models are important tools in water resources projects. Generally, performance of this group of models is dependent on the proper selection of parameters. Accordingly, several methods have been developed to estimate hydrological parameters. The present study aimed to compare the performance of conceptual hydrologic models such as TANK, SIMHYD and AWBM which benefit from the indirect model parameters estimation approach in Discharge Simulation of Babolroud Watershed, Mazandaran province, Iran. The automatic calibration process of these models was designed using genetic evolutionary search algorithm and objective functions (NSE and RMSE) as error thresholds determinants. Hence, meteorological and hydrological data consist of temperature, evapotranspiration, precipitation and discharge (in daily scale) were gathered from authorities. Input data was also divided into warm-up, train and test steps after preliminary validation and recovery. Based on the results, NSE metric introduced TANK model as the best simulator respectively for train and test step (0. 59 to 0. 72). Depends on RMSE metric, SIMHYD (0. 83) and TANK (0. 15) models were introduced as the best simulator respectively for train and test step either. According to the catchment flow signatures, general simulation of low-flow (excluding the Model TANK), mean-flow and high-flow were conducted with acceptable agreement. While simulation of the flow duration curve slope which represents an intensity of changes (excluding TANK model in train step), did not provide acceptable results. Given the weaknesses and strengths of the proposed models, they can be used as an acceptable simulator in water resources management especially in terms of ungauged basins, after preliminary verification in different climatic conditions.

Cites

No record.

References

No record.

Cite

APA: Copy

sheikh goudarzi, mehdi, JABBARIAN AMIRI, BAHMAN, & AZARNIVAND, HOSEIN. (2019). Investigating performance of the conceptual models in river hydrologic simulation. JOURNAL OF NATURAL ENVIRONMENT (IRANIAN JOURNAL OF NATURAL RESOURCES), 71(4 ), 509-521. SID. https://sid.ir/paper/195002/en

Vancouver: Copy

sheikh goudarzi mehdi, JABBARIAN AMIRI BAHMAN, AZARNIVAND HOSEIN. Investigating performance of the conceptual models in river hydrologic simulation. JOURNAL OF NATURAL ENVIRONMENT (IRANIAN JOURNAL OF NATURAL RESOURCES)[Internet]. 2019;71(4 ):509-521. Available from: https://sid.ir/paper/195002/en

IEEE: Copy

mehdi sheikh goudarzi, BAHMAN JABBARIAN AMIRI, and HOSEIN AZARNIVAND, “Investigating performance of the conceptual models in river hydrologic simulation,” JOURNAL OF NATURAL ENVIRONMENT (IRANIAN JOURNAL OF NATURAL RESOURCES), vol. 71, no. 4 , pp. 509–521, 2019, [Online]. Available: https://sid.ir/paper/195002/en

Related Journal Papers