ESTIMATION SURFACE SOIL SHEAR STRENGTH BY PEDO-TRANSFER FUNCTIONS AND SOIL SPATIAL PREDICTION FUNCTIONS

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.

KHALIL MOGHADAM B.; AFYUNI M.; JALALIAN A.; ABBASPOUR K.C.; DEHGHANI A.A.

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

Journal Paper

Paper Information

Journal: Journal of Water and Soil Year:2011 | Volume:25 | Issue:1 Page(s): 187-195

Download Full-Text

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

Persian Verion

View:

1,195

Download:

Cites:

Information Journal Paper

Title

ESTIMATION SURFACE SOIL SHEAR STRENGTH BY PEDO-TRANSFER FUNCTIONS AND SOIL SPATIAL PREDICTION FUNCTIONS

Author(s)

Keywords

SURFACE SOIL SHEAR STRENGTHQ2

SOIL ERODIBILITYQ2

CENTRAL ZGROSQ3

Abstract

SURFACE SOIL SHEAR STRENGTH is an effective parameter in soil erosion and runoff modeling, and known as SOIL ERODIBILITY index. This study was conducted to investigate and predict soil shear strength in central Zagros region using multiple linear regressions (MLR). The study site was selected in rangeland and degraded-rangeland landuse with an area of 23562 ha. Based on the maps of geology, topography, landuse and soil capability, 18 Land Unit Tracts (LUT) was created. Supervised random sampling was used to collect samples in every land unit. A total of 120 samples were collected in triplicates to determine sample variability in each LUT. Soil samples were collected from the 0-3 cm of soil depth. Routinely measured (available) parameters included particle size distribution, soil organic carbon, CaCO3 in addition to slope, aspect; elevation and normalized difference vegetation index (NDVI) were used. Three MLR models were tested and investigated for soil shear strength in this study. The performances of the different models were evaluated using spearman’s correlation coefficient (r) between the observed and the estimated values, normalized mean square error (NMSE), mean absolute error (MAE), geometric mean of error ratio (GMER) and geometric standard deviation of the error ratio (GSDER). Results showed that land degradation significantly reduced SURFACE SOIL SHEAR STRENGTH. Addition of slope, aspect, elevation and NDVI to soil attributes as input parameters improved the performance criteria for soil shear strength.

Cites

COMPARISON OF GEOSTATISTICS, PTFS, SSPFS METHODS AND THEIR COMBINATION FOR ESTIMATING SOIL SURFACE SHEAR STRENGTH

References

No record.

Cite

APA: Copy

KHALIL MOGHADAM, B., AFYUNI, M., JALALIAN, A., ABBASPOUR, K.C., & DEHGHANI, A.A.. (2011). ESTIMATION SURFACE SOIL SHEAR STRENGTH BY PEDO-TRANSFER FUNCTIONS AND SOIL SPATIAL PREDICTION FUNCTIONS. JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY), 25(1), 187-195. SID. https://sid.ir/paper/141144/en

Vancouver: Copy

KHALIL MOGHADAM B., AFYUNI M., JALALIAN A., ABBASPOUR K.C., DEHGHANI A.A.. ESTIMATION SURFACE SOIL SHEAR STRENGTH BY PEDO-TRANSFER FUNCTIONS AND SOIL SPATIAL PREDICTION FUNCTIONS. JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY)[Internet]. 2011;25(1):187-195. Available from: https://sid.ir/paper/141144/en

IEEE: Copy

B. KHALIL MOGHADAM, M. AFYUNI, A. JALALIAN, K.C. ABBASPOUR, and A.A. DEHGHANI, “ESTIMATION SURFACE SOIL SHEAR STRENGTH BY PEDO-TRANSFER FUNCTIONS AND SOIL SPATIAL PREDICTION FUNCTIONS,” JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY), vol. 25, no. 1, pp. 187–195, 2011, [Online]. Available: https://sid.ir/paper/141144/en

Related Journal Papers