MODELING RAINFALL EROSIVITY FACTOR USING GEOSTATISTIC TECHNIQUES (CASE STUDY: ILAM DAM WATERSHED)

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SHABANI A.; MATINFAR H.M.; AREKHI S.; RAHIMI HARABADI S.

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Journal: Journal of RS and GIS for Natural Resources Year:2011 | Volume:2 | Issue:2 Page(s): 56-65

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Title

MODELING RAINFALL EROSIVITY FACTOR USING GEOSTATISTIC TECHNIQUES (CASE STUDY: ILAM DAM WATERSHED)

Author(s)

SHABANI A. | MATINFAR H.M. | AREKHI S. | RAHIMI HARABADI S. | Issue Writer Certificate

Keywords

GEOSTATISTICQ2

KRIGINGQ2

SOIL EROSIONQ2

ILAM DAM WATERSHEDQ2

Abstract

Soil erosion is one of the factors that threatened human life. Measuring SOIL EROSION is always difficult. Lack of hydrometric stations in the majority of watersheds, to estimate SOIL EROSION and deposition face with difficult. However, many researchers have tried to present empirical relationships in favor of weather conditions for the estimation of SOIL EROSION and sedimentation. Among them, universal soil loss equation and its revised version are including models that have application worldwide. One of the main parameters of this model is a rainfall erosively factor that has the direct relationship with rainfall intensity. In this study, 22-year periods related to 16 climatology stations in the ILAM DAM WATERSHED were used for preparing rainfall erosivity factor map. After calculating a rainfall erosively factor (R factor) for all stations using KRIGING-based GEOSTATISTIC techniques and GEOSTATISTIC extension in ARC GIS 9.3 environment, the map of R for the whole watershed was prepared. Here, we have compared three KRIGING techniques: ordinary, simple, and universal KRIGING. The obtained results show that simple KRIGING with a 67.92 Root Mean Square Error (RMSE) is the most proper interpolation technique. Furthermore, in compare to the RMSE, the Standard Error (SE) for calculating the amount of expectations, the simple, ordinary and universal KRIGING had underestimated than the expectation.

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APA: Copy

SHABANI, A., MATINFAR, H.M., AREKHI, S., & RAHIMI HARABADI, S.. (2011). MODELING RAINFALL EROSIVITY FACTOR USING GEOSTATISTIC TECHNIQUES (CASE STUDY: ILAM DAM WATERSHED). JOURNAL OF RS AND GIS FOR NATURAL RESOURCES (JOURNAL OF APPLIED RS AND GIS TECHNIQUES IN NATURAL RESOURCE SCIENCE), 2(2), 56-65. SID. https://sid.ir/paper/378860/en

Vancouver: Copy

SHABANI A., MATINFAR H.M., AREKHI S., RAHIMI HARABADI S.. MODELING RAINFALL EROSIVITY FACTOR USING GEOSTATISTIC TECHNIQUES (CASE STUDY: ILAM DAM WATERSHED). JOURNAL OF RS AND GIS FOR NATURAL RESOURCES (JOURNAL OF APPLIED RS AND GIS TECHNIQUES IN NATURAL RESOURCE SCIENCE)[Internet]. 2011;2(2):56-65. Available from: https://sid.ir/paper/378860/en

IEEE: Copy

A. SHABANI, H.M. MATINFAR, S. AREKHI, and S. RAHIMI HARABADI, “MODELING RAINFALL EROSIVITY FACTOR USING GEOSTATISTIC TECHNIQUES (CASE STUDY: ILAM DAM WATERSHED),” JOURNAL OF RS AND GIS FOR NATURAL RESOURCES (JOURNAL OF APPLIED RS AND GIS TECHNIQUES IN NATURAL RESOURCE SCIENCE), vol. 2, no. 2, pp. 56–65, 2011, [Online]. Available: https://sid.ir/paper/378860/en

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