2016
DOI: 10.1515/biolog-2016-0135
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Extent and persistence of water repellency in two Iranian soils

Abstract: Soil water repellency (SWR) can affect the hydrophysical properties of soils. The objective of this study was to evaluate a new approach, which allows estimating both the extent (the modified soil water repellency index,

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Cited by 19 publications
(20 citation statements)
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“…Sepehrnia et al (2016) studied these soils and reported SOM was associated with water repellency (p <0.01) at the selected depths, with greatest SOM found where water repellency values were largest. It has been suggested that the relationship between water repellency and SOM is a two-way mechanism, as SOM enhances water repellency of soils, and water repellency protects SOM against microbial decomposition (Goebel et al, 2011).…”
Section: Resultsmentioning
confidence: 99%
“…Sepehrnia et al (2016) studied these soils and reported SOM was associated with water repellency (p <0.01) at the selected depths, with greatest SOM found where water repellency values were largest. It has been suggested that the relationship between water repellency and SOM is a two-way mechanism, as SOM enhances water repellency of soils, and water repellency protects SOM against microbial decomposition (Goebel et al, 2011).…”
Section: Resultsmentioning
confidence: 99%
“…In the third method of estimating the repellency index, the water sorptivity S wh for water‐repellent state of soil and the water sorptivity S ww for nearly wettable state of soil were estimated, respectively, from the less steep and steeper parts of hockey‐stick‐like relationship (Figure ) and used to calculate a modified repellency index RI m (Alagna, Iovino, Bagarello, Mataix‐Solera, & Lichner, ; Sepehrnia, Hajabbasi, Afyuni, & Lichner, ).…”
Section: Methodsmentioning
confidence: 99%
“…ww for nearly wettable state of soil were estimated, respectively, from the less steep and steeper parts of hockey-stick-like relationship (Figure 2) and used to calculate a modified repellency index RI m(Alagna, Iovino, Bagarello, Mataix-Solera, & Lichner, 2017;Sepehrnia, Hajabbasi, Afyuni, & Lichner, 2016).…”
mentioning
confidence: 99%
“…Using water infiltration data, the water repellency cessation time (WRCT) was estimated as the intersection between the two regression lines representing the early-time (hydrophobic) and late-time (wettable) soil conditions in a I vs. t 0.5 graph (Lichner et al, 2013b). The same graph allowed to calculate a modified repellency index RI m as the ratio of the sorptivities in the two stages of the infiltration process (Sepehrnia et al, 2016).…”
Section: Methodsmentioning
confidence: 99%