GIS-based Identification and Preparation of Suitable Climatological Data Sources for Simulation Using Semi-Distributed Hydrological Models

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.

DASTJERDI EHSAN; MOJARADI BARAT; ALIZADEH HOSEIN

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

Journal Paper

Paper Information

Journal: Iranian Journal of Soil and Water Research Year:2019 | Volume:50 | Issue:7 Page(s): 1781-1791

Download Full-Text

Persian Verion

View:

505

Download:

Cites:

Information Journal Paper

Title

GIS-based Identification and Preparation of Suitable Climatological Data Sources for Simulation Using Semi-Distributed Hydrological Models

Author(s)

DASTJERDI EHSAN | MOJARADI BARAT | ALIZADEH HOSEIN | Issue Writer Certificate

Keywords

Climate Forecast System ReanalysisQ2

Invers Distance MethodQ1

Nearest NeighborhoodQ1

PrecipitationQ1

SWATQ1

Abstract

Regarding to various sources of climatological data, identification of suitable sources and investigation of their usage effects on hydrological simulation is an important issue. Moreover, given that hydrological models employ different methods for preparation of climatological data, e. g. spatial interpolation of point climatological data, evaluation of the effects of different methods on hydrological simulation’ s result is an important issue. Accordingly, this paper deals with different data sources and spatial interpolation of Precipitation that are investigated in hydrological simulation of Mahabad Chai River Basin using SWAT model. Different climatological sources, i. e. field measurements of meteorological stations of MOE and IRIMO as well as reanalyzed data of CFSR project, and different interpolation methods, i. e. Nearest Neighborhood (NN) and inverse distance method (IDW) were employed and compared for preparation of inputs of SWAT model using a developed computational module in Module Builder framework of ArcMap. Then parameters sensitivity analysis, estimation and model validation were performed based on a period of 36-years monthly streamflow record. Results showed using CFSR data leads to Nash-Sutcliffe (NS) value of 0. 58 as compared to climatological stations’ data which leads to NS value of 0. 38. Additionally, IDW method showed a better performance significantly than the NN method, so that their NS index values were 0. 79 and 0. 56, respectively.

Cites

No record.

References

No record.

Cite

APA: Copy

DASTJERDI, EHSAN, MOJARADI, BARAT, & ALIZADEH, HOSEIN. (2019). GIS-based Identification and Preparation of Suitable Climatological Data Sources for Simulation Using Semi-Distributed Hydrological Models. IRANIAN JOURNAL OF SOIL AND WATER RESEARCH, 50(7 ), 1781-1791. SID. https://sid.ir/paper/225673/en

Vancouver: Copy

DASTJERDI EHSAN, MOJARADI BARAT, ALIZADEH HOSEIN. GIS-based Identification and Preparation of Suitable Climatological Data Sources for Simulation Using Semi-Distributed Hydrological Models. IRANIAN JOURNAL OF SOIL AND WATER RESEARCH[Internet]. 2019;50(7 ):1781-1791. Available from: https://sid.ir/paper/225673/en

IEEE: Copy

EHSAN DASTJERDI, BARAT MOJARADI, and HOSEIN ALIZADEH, “GIS-based Identification and Preparation of Suitable Climatological Data Sources for Simulation Using Semi-Distributed Hydrological Models,” IRANIAN JOURNAL OF SOIL AND WATER RESEARCH, vol. 50, no. 7 , pp. 1781–1791, 2019, [Online]. Available: https://sid.ir/paper/225673/en

Related Journal Papers