Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1080/03650340.2019.1575509 |
Soil erodibility and its prediction in semi-arid regions | |
Ostovari, Yaser1,2; Ghorbani-Dashtaki, Shoja1; Kumar, Lalit3; Shabani, Farzin3,4,5 | |
通讯作者 | Ostovari, Yaser |
来源期刊 | ARCHIVES OF AGRONOMY AND SOIL SCIENCE
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ISSN | 0365-0340 |
EISSN | 1476-3567 |
出版年 | 2019 |
卷号 | 65期号:12页码:1688-1703 |
英文摘要 | Pedotransfer functions (PTFs) have been used to save time and cost in predicting certain soil properties, such as soil erodibility (K-factor). The main objectives of this study were to develop appropriate PTFs to predict the K-factor, and then compare new PTFs with Universal Soil Loss Equation (USLE) and the Revised Universal Soil Loss Equation (RUSLE) K-factor models. The K-factor was measured using 40 erosion plots under natural rainfall in Simakan Watershed, an area of 350 km(2) in central of Iran. The Regression Tree (RT) and Multiple Linear Regression (MLR) were used to develop PTFs for predicting the K-factor. The result showed that the mean of measured K was 0.01 t h MJ(-1) mm(-1). The mean K value predicted by USLE and RUSLE was 2.08 and 2.84 times more than the measured K, respectively. Although calcium carbonate was not considered in the original USLE and RUSLE K-factors, it appeared in the advanced PTFs due to its strong positive significant impact on aggregate stability and soil infiltration rate, resulting in decreased K-factor. The results also showed that the RT with R-2 = 0.84 had higher performance than developed MLR, USLE and RUSLE for the K estimation. |
英文关键词 | Dorudzan data mining erosivity stepwise regression regression tree |
类型 | Article |
语种 | 英语 |
国家 | Iran ; Germany ; Australia |
收录类别 | SCI-E |
WOS记录号 | WOS:000477721600006 |
WOS关键词 | USLE K-FACTOR ; SPATIAL VARIABILITY ; CALCAREOUS SOILS ; EROSION ; EQUATION ; NOMOGRAPH ; RUSLE ; GIS |
WOS类目 | Agronomy ; Soil Science |
WOS研究方向 | Agriculture |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/214370 |
作者单位 | 1.Shahrekord Univ, Coll Agr, Dept Soil Sci, Shahrekord, Iran; 2.Tech Univ Munich, TUM Sch Life Sci Weihenstephan, Chair Soil Sci, Freising Weihenstephan, Germany; 3.Univ New England, Sch Environm & Rural Sci, Ecosyst Management, Aemidale, Australia; 4.Flinders Univ S Australia, Coll Sci & Engn, Global Ecol, Adelaide, SA, Australia; 5.Macquarie Univ, Dept Biol Sci, Sydney, NSW, Australia |
推荐引用方式 GB/T 7714 | Ostovari, Yaser,Ghorbani-Dashtaki, Shoja,Kumar, Lalit,et al. Soil erodibility and its prediction in semi-arid regions[J],2019,65(12):1688-1703. |
APA | Ostovari, Yaser,Ghorbani-Dashtaki, Shoja,Kumar, Lalit,&Shabani, Farzin.(2019).Soil erodibility and its prediction in semi-arid regions.ARCHIVES OF AGRONOMY AND SOIL SCIENCE,65(12),1688-1703. |
MLA | Ostovari, Yaser,et al."Soil erodibility and its prediction in semi-arid regions".ARCHIVES OF AGRONOMY AND SOIL SCIENCE 65.12(2019):1688-1703. |
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