Author(s) |
Ostovari, Yaser
Ghorbani-Dashtaki, Shoja
Kumar, Lalit
Shabani, Farzin
|
Publication Date |
2019-02-15
|
Abstract |
Pedotransfer functions (PTFs) have been used to save time and cost in predicting certain soil properties, such as soil erodibility (<i>K</i>-factor). The main objectives of this study were to develop appropriate PTFs to predict the <i>K</i>-factor, and then compare new PTFs with Universal Soil Loss Equation (USLE) and the Revised Universal Soil Loss Equation (RUSLE) <i>K</i>-factor models. The <i>K</i>-factor was measured using 40 erosion plots under natural rainfall in Simakan Watershed, an area of 350 km<sup>2</sup> in central of Iran. The Regression Tree (RT) and Multiple Linear Regression (MLR) were used to develop PTFs for predicting the <i>K</i>-factor. The result showed that the mean of measured <i>K</i> was 0.01 t h MJ<sup>−1</sup> mm<sup>−1</sup>. The mean <i>K</i> value predicted by USLE and RUSLE was 2.08 and 2.84 times more than the measured <i>K</i>, respectively. Although calcium carbonate was not considered in the original USLE and RUSLE <i>K</i>-factors, it appeared in the advanced PTFs due to its strong positive significant impact on aggregate stability and soil infiltration rate, resulting in decreased <i>K</i>-factor. The results also showed that the RT with R<sup>2</sup> = 0.84 had higher performance than developed MLR, USLE and RUSLE for the <i>K</i> estimation.
|
Citation |
Archives of Agronomy and Soil Science, 65(12), p. 1688-1703
|
ISSN |
1476-3567
0365-0340
|
Link | |
Publisher |
Taylor & Francis
|
Title |
Soil erodibility and its prediction in semi-arid regions
|
Type of document |
Journal Article
|
Entity Type |
Publication
|
Name | Size | format | Description | Link |
---|