AN EVALUATION OF DETERMINISTIC AND GEOSTATISTICS INTERPOLATION MODELS TO PRECIPITATION REGIONALIZATION IN ARDEBIL PROVINCE

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.

GHAVIDEL RAHIMI YOUSEF; ALIJAHAN MEHDI; OJI ROHOALAH

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

Journal Paper

Paper Information

Journal: GEOGRAPHIC SPACE Year:2015 | Volume:15 | Issue:50 Page(s): 209-231

Download Full-Text

Persian Verion

View:

1,282

Download:

Cites:

Information Journal Paper

Title

AN EVALUATION OF DETERMINISTIC AND GEOSTATISTICS INTERPOLATION MODELS TO PRECIPITATION REGIONALIZATION IN ARDEBIL PROVINCE

Author(s)

GHAVIDEL RAHIMI YOUSEF | ALIJAHAN MEHDI | OJI ROHOALAH | Issue Writer Certificate

Keywords

PRECIPITATION MAPPINGQ2

DETERMINISTIC AND STOCHASTIC INTERPOLATION METHODSQ2

CROSS VALIDATIONQ2

ARDEBIL PROVINCEQ2

Abstract

Two deterministic methods [Radial Basis Functions (RBF) and Inverse Distance Weighting (lOW)], and two stochastic interpolation methods [Kriging and Co-Kriging] have been evaluated to estimate the annual precipitation in ARDEBIL PROVINCE. For this purpose, we used data taken from various stations across the province [4 synoptic stations, 1 climatological station and 24 rain gauges], over a decade (2005-1995). The performance of the above model was' examined using CROSS VALIDATION and the indices of Mean Bias Error (MBE), Mean Absolute Error (MAE) and Root Mean Square Error (RMSE).Finally, to identify under-estimated and over-estimated areas of each method at elevations above the spatial distribution of stations, the output of each model was examined. The results suggested that Kriging model had lower errors than other methods and was more compatible with the elevation surfaces. Therefore, this method was identified as the best option for estimating f precipitation in areas without adequate data and intense topographic gradients in ARDEBIL PROVINCE.

Cites

No record.

References

Cite

APA: Copy

GHAVIDEL RAHIMI, YOUSEF, ALIJAHAN, MEHDI, & OJI, ROHOALAH. (2015). AN EVALUATION OF DETERMINISTIC AND GEOSTATISTICS INTERPOLATION MODELS TO PRECIPITATION REGIONALIZATION IN ARDEBIL PROVINCE. GEOGRAPHIC SPACE, 15(50), 209-231. SID. https://sid.ir/paper/91358/en

Vancouver: Copy

GHAVIDEL RAHIMI YOUSEF, ALIJAHAN MEHDI, OJI ROHOALAH. AN EVALUATION OF DETERMINISTIC AND GEOSTATISTICS INTERPOLATION MODELS TO PRECIPITATION REGIONALIZATION IN ARDEBIL PROVINCE. GEOGRAPHIC SPACE[Internet]. 2015;15(50):209-231. Available from: https://sid.ir/paper/91358/en

IEEE: Copy

YOUSEF GHAVIDEL RAHIMI, MEHDI ALIJAHAN, and ROHOALAH OJI, “AN EVALUATION OF DETERMINISTIC AND GEOSTATISTICS INTERPOLATION MODELS TO PRECIPITATION REGIONALIZATION IN ARDEBIL PROVINCE,” GEOGRAPHIC SPACE, vol. 15, no. 50, pp. 209–231, 2015, [Online]. Available: https://sid.ir/paper/91358/en

Related Journal Papers