Relationships of 137Cs inventory with magnetic measures of calcareous soils of hilly region in Iran

Ayoubi, Shamsollah; Ahmadi, Mohamamd; Abdi, Mohammad Reza; Afshar, Farideh Abbaszadeh

doi:10.1016/j.jenvrad.2012.03.012

Cited by 56 publications

(15 citation statements)

References 27 publications

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“…The 137 Cs inventory of the two reference cores collected from the reference site had mean value of 1143.75 Bq m -2 (Figure 2). The mean value obtained in the present study is lower than those reported by Afshar et al (2010), Ayoubi et al (2012) and Rahimi et al (2013) in some semiarid regions of Iran. The lower Cs-137 inventory at the studied site compared to the western Iran ascribes to lower precipitation in the arid region.…”

Section: Resultscontrasting

confidence: 91%

“…They reported that these measures could provide valuable information for soil redistribution in combined to other soil properties. Similar findings were obtained by Ayoubi et al (2012) and Rahimi et al (2013) As the equation showed, TN, clay content, χfd and sand content included in the MLR had significant effect and their combined effect could explain 87% of the total variability in the 137 Cs inventory along the transect. As measurement of 137 Cs has been identified as one of the most reliable techniques for evaluating soil redistribution, and measurement of 137 Cs is so time and cost consuming, therefore the above equation could provide valuable information about CS inventory using easily available soil data at the studied site.…”

Section: Interrelations Among Soil Properties and 137 Cs Inventorysupporting

confidence: 83%

“…by analyzing the pattern of 137 Cs inventory showed that the shrub coppice dunes and semi-fixed dune fields experienced the alteration of erosion and deposition. Although, a few studies (Afshar et al, 2010;Rahimi et al, 2013;Ayoubi et al, 2012) have been conducted in the semiarid regions of western Iran for the estimation of water erosion rate by 137 Cs technique, but so far no investigation has been reported in the arid region of Iran using 137 CS for the prediction of wind erosion till now. Therefore, as the first report, this study was performed to i) estimate soil redistribution by wind using 137 Cs as a tracer and (ii) explore the relationships among physicochemical and magnetic susceptibility properties with 137 Cs as an indicator of soil redistribution, along northeast -southwest transect across the Segzi district, east of Isfahan, central Iran.…”

Section: Introductionmentioning

confidence: 99%

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Using Cesium-137 to estimate soil particle redistribution by wind in an arid region of central Iran

Gheysari

Ayoubi

Abdi

2016

EJSS

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Article Info Received : 28.01.2016 Accepted : 01.04.2016 This study was conducted to estimate soil erosion and deposition rates along a transect using 137 Cs technique in an arid of Isfahan Province, central Iran. Sixteen sites along a northeast-southwest transect with 42 km length were used. Eighty soil samples collected from five depths (0-5, 5-10, 10-20, 20-30, 30-50 cm) were analyzed for 137 Cs concentration. Additional 20 soil samples were collected from the reference site for computing soil loss and deposition using 137 Cs measurement. The results showed that the northern part of the transect showed erosion rates ranging from12.90 to 46.86 t ha -1 yr -1 . The major factor affecting soil erosion process in northern part of the studied transect is associated dominantly with occurrence of improper gypsum mining operations and human activities. In the southern part of the transect deposition rates changed between 3.10 -7.44 t ha -1 yr -1 , presumably influenced by increasing plant cover. Significant correlations between 137 Cs and magnetic susceptibility, soil organic matter (SOM), total nitrogen (TN) and particle size distributions indicated that soil redistribution by wind erosion might have modified the soil properties along the studied transect. A multiple linear regression model was developed for estimating 137 Cs by frequency dependence (χfd), TN, clay and sand contents which explained about 87% of the 137 Cs variability. This study of using 137 Cs to assess wind erosion is unique in the arid region of central Iran and had significant implications for further research.

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Section: Resultscontrasting

confidence: 91%

Section: Interrelations Among Soil Properties and 137 Cs Inventorysupporting

confidence: 83%

Section: Introductionmentioning

confidence: 99%

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Using Cesium-137 to estimate soil particle redistribution by wind in an arid region of central Iran

Gheysari

Ayoubi

Abdi

2016

EJSS

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“…The mean soil depth obtained in the vineyard was 0.70 m, with the deepest soils in the flat area and the shallowest in the slopes (Figure ). The loss of soil from the slopes and the subsequent deposition in the flat area generated depth differences between both areas, which can reach 0.30–0.50 m. These results were higher than those reported by other authors (Ayoubi et al ., ), who reported soil erosion rates between 4.7 and 54.7 t/ha/yr, depending on the position on the slope, corresponding the highest rates to the shoulder position and lowest to the toe position, in ten transects in a hilly region of western Iran cultivated with rainfed wheat. At the Costanillas vineyard, the erosion/deposition processes, induced by tillage practices, were confirmed by the irregular decrease in SOM until 0.85–1.00 m at the profiles located in the flat area, which might mean that up to this depth soil had accumulated from the slopes due to erosion.…”

Section: Discussionmentioning

confidence: 99%

Spatial and vertical analysis of soil properties in a Mediterranean vineyard soil

Unamunzaga

Besga

Castellón

et al. 2014

Soil Use and Management

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Soil physical properties influence vineyard behaviour; therefore, the knowledge of their spatial variability is essential for making vineyard management decisions. Little work has been conducted at high spatial resolution on soil properties at depths lower than 0.30 m which is of special relevance to perennial crops. The objectives of this work were to (i) analyse the spatial and vertical variability of soil depth, particle size fractions and water‐holding capacity (WHC) by geostatistical techniques; (ii) study the causes of the variability, with additional information from classical soil sampling; and (iii) assess the significance of WHC through its relationship with vine vigour. The work was carried out in a vineyard of eight hectares within the D.O.Ca. Rioja (northern Spain). Soil variability was determined via grid sampling at three depth ranges (0–0.30, 0.30–0.60 and 0.60–0.90 m). A conventional soil survey provided additional information on soil variability. Clay, sand and silt fractions, soil organic matter content, WHC and pruning weight were determined. Most soil properties had strong or moderate spatial dependence, with the exceptions of sand at 0.30–0.60 m and silt in the topsoil. Topography and soil erosion caused the spatial variability of soil depth and contributed to the spatial distribution of particle size fractions in the topsoil, while the heterogeneity of parent material influenced the spatial pattern of soil properties at 0.60–0.90 m. The WHC and soil depth spatial distributions related well to that of vine vigour, demonstrating the importance of knowing the spatial variability of these soil properties.

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“…Several erosion techniques and models have been established and proposed to evaluate soil erosion. Radionuclide tracer method such as 137 Cs has been used to estimate the soil redistribution in the filed caused by erosion and deposition (Hassouni and Bouhlassa., 2006;Ayoubi et al, 2012;Zhang et al, 2015). However, this method is costly for large areas and needs a long evaluation period.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Soil Losses by the Improved Tillage Homogenization Model and Rusle Model

Bouhlassa

Bouhsane

2020

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Soil erosion by water is a major environmental problem in the Mediterranean areas. It results in land degradation and soil losses, decreases soil structural stability, and increases soil erodibility. Hence, the need for reliable scientific methods for obtaining soil erosion data becomes crucial. The study aims to estimate soil loss in the Moroccan watershed using two soil erosion estimation models and to discuss the differences between those models. The first model used in this study is the improved tillage homogenization model (T-H) which permits to predict the magnetic susceptibility values after erosion, the second one is the empirical model based on the Revised Universal Soil Loss Equation RUSLE. The results showed that: i) higher soil losses using tillage homogenization (T-H) model have occurred in the upper and lower slopes in the cultivated transect, and in the middleslopes and lower slopes in the forested transect; ii) the average of annual soil loss obtained by RUSLE model is about 20.21 t/ha/yr; iii) T-H model allows us to estimate the total cumulative soil erosion during the past and, while RUSLE model is designed for predicting annual soil loss resulting from sheet erosion under given conditions.

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Relationships of 137Cs inventory with magnetic measures of calcareous soils of hilly region in Iran

Cited by 56 publications

References 27 publications

Using Cesium-137 to estimate soil particle redistribution by wind in an arid region of central Iran

Using Cesium-137 to estimate soil particle redistribution by wind in an arid region of central Iran

Spatial and vertical analysis of soil properties in a Mediterranean vineyard soil

Estimation of Soil Losses by the Improved Tillage Homogenization Model and Rusle Model

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