Received 26 October 2015; accepted 17 January 2016; published 20 January 2016
The lack of success of dams and embankments as a result of the use of dispersive soil has been recognized by engineers and geologists in South Africa and internationally for many years. A serious problem, however, yet lies in the early identification of dispersive soils  . In spite of all the knowledge obtained over the years, there is still no fast, simple and dependable mean of conclusively recognizing dispersive soils. Many methods have been suggested including the pinhole, double hydrometer, crumb and chemical tests, individually or in group. These, but, have not always been totally credible and it looks like that the cause sets in the factual testing procedures. The standard testing procedures for the Soil Conservation Service (SCS) double hydrometer test, the pinhole test, crumb test and chemical analyses have lately been studied and problems/abnormalities identified. Although no discussion concerning these anomalies has been discovered in the literature, the recent testing proposes that many of these deficiencies may have been looked out during past routine investigations. This paper summarizes a proportional study including the testing of three specimen utilizing one standard laboratory test, namely the SCS double hydrometer test and discusses some potential means of conquering the problems identified. The other tests have been discussed separately  -  .
SCS double hydrometer or dispersion soil test has been identified as one of the most suitable tests for classifying dispersive soils. The test assesses the dispersibility of a soil by measuring the natural propensity of the clay fraction to go into annotate in water. The procedure involves the estimation of the percentage of particles in the soil that are finer than 0.005 mm utilizing the standard hydrometer test. A parallel test is also carried out, in which no chemical dispersant is added and the solution is not mechanically excited. The quantity of particles finer than 0.005 mm in the parallel test is explicit as a percentage of this fraction determined in the standard test, which is defined as the dispersion ratio or dispersivity of the soil  . Dispersion ratios greater than 50% are observed extremely dispersive, between 30% and 50% are moderately dispersive, between 15% and 30% are a little dispersive and less than 15% are non-dispersive  . Similar systems with various limits were used by  -  , and the dispersion test was first described by Volk (1937)  as a means of determining the potential dispersive of soils. The test has since been utilized extensively in this concern with minor modifications. Volk’s test contrasts the weight of soil grains, 0.005 mm or smaller that slaked free when air-dried lumps of soil were soaked in silent distilled water with that of the complete soil. This was shown as the percentage dispersion. Measurements of the clay in the soil-water suspension were made by the pipette method  .
The pipette method itself was announced by Middleton in 1930 as a means of determining the erosion potential of a soil. The difference in the methods was that the samples collected in the pipette depend on particles of a maximum diameter of 0.05 mm  . Volk’s method was, however, chosen because studies in the southwest of the United States point out that the dispersion of the clay fraction (<0.005 mm diameter) was more significant in assessing the piping potential of soils  . The SCS involvement in earth dam construction in the United States reproduces in the 1940’s and early 1950’s. The dispersion test was used as a routine procedure for all samples submitted to SCS Laboratories. It was during this time that the test procedure was appropriate to utilize a hydrometer to instate a pipette  .
2. Materials Methods
This study was performed in Sulaimani Governorate to determine the effect of ten land use and clay content on dispersion ratio. The soil samples from 0 - 30 cm depth were collected from different locations. All soil samples were air dried, sieved through a 2 mm physical properties were measured such as particle size distribution by the pipette method, bulk density by Clod method. A single point using water under isothermal condition was measured the (SSA) according to  . Chemical properties were measured like soil organic matter which determined by the Walkley-Black method (1934)  and calcium carbonate by titration method.
3. Micro Aggregate Stability
This was calculated from the amount of silt and clay in calgon-dispersed as well as water-dispersed samples using Bouyoucos hydrometer method of particle size described by 
The clay-dispersion indices were calculated as follows:
Clay dispersion index:
4. Statistical Analysis
Correlation and regression were used to analyze the relationship between land use and some soil parameters of the samples (Figure 1). Analysis of variance (ANOVA) for complete randomized design (CRD) was used to compare the influence of the land usage types on the measured soil properties. DUNCAN at P < 0.5 level was used to separate the mean where applicable.
5. Results and Discussions
The soil texture of the study area was significantly affected by land use. Data obtained in Table 1 showed the variation in sand, silt and clay fraction of the soil. The result shows that the textural class across all the land use types of the study area is different soil texture, indicating the different of parent material. The result is in agreement with  . However, over a very long period of time, paedogenesis processes such as erosion, deposition, eluviations, and weathering can change the soil texture. Data in Table 1 relationship between clay dispersion ratio and dispersion ratio the highest value of clay dispersion ratio is 83.33% in Zrguezi Gawra (cultivated with Cucumber) and the lowest value is 11.29% in Azmar (Forest soil) and dispersion ratio the highest value is 40% in Zrguezi Gawra (cultivated with Cucumber) and the lowest value is 13% in Dukan (Bare soil).
Data in Table 2 bulk density was highly impact by land use, the highest value in Zrguezi Gawra (cultivated with cucumber) is 1.73 g/cm3 and lowest value in Azmar (forest soil) is 1.29 gm/cm3. This was in agreement with works of   , who supposed that the significant difference is caused differences in the land management and land use history, and other reason may be due to the high content of OM which reduced bulk density. Loss of organic matter by transformation of the natural forest in to pasture and cultivated land caused a higher bulk density in cultivated soils. The greatest soil bulk density was observed in cultivated and followed by pasture and forest land, similar result were reported by  .
Organic matter was highly affected by land use. The highest value in Azmar is 3.2% in this case deepened on land use (Forest soil) and the lowest value in Dukan, depended on land use (bare soil), may be as a result of
Figure 1. Site of soil samples.
Table 1. Effect of Land Use on particles size distribution of Soil, Clay dispersion index and dispersion ratio in Sulaimani Governorate.
Table 2. Effect of Land Use on bulk density, organic matter, calcium carbonate and specific surface area in Sulaimani governorate.
plant litter sufficient returned to the soil in these environments.
Calcium carbonate was highly affected by land use, the highest value in Tanjarow (35.39%) and the lowest value in Azmar (13.91), This was in agreement with works of  .
Soil specific surface area was highly affected by land use, the highest value in Azmar (forest soil) (150.33) and the lowest value in Dukan (Bare soil) (73.55).
Table 3 shows the relationship between dispersion ratio and selected soil physical and chemical properties correlation model determination. There is a positive correlation between dispersion ratios with clay, the result is in disagreement with    , with bulk density and organic matter was positively correlated, the result is in agreement with  . A negative correlation also estimates between dispersion ratio with sand, silt, specific surface area and calcium carbonate.
In this table showed the clay, soil bulk density and organic matter have a significantly on the dispersion ratio value is (0.0170, 0.0118 and 0.0130) respectively.
Figures 2-9 showed the relationship between dispersion ratio and selected soil physical and chemical properties parameter, regression model and coefficient of determinations. There is a positive correlation between dispersion ratio with sand, bulk density, CaCO3 and CDI coefficient of determination value is (0.247, 0.568, 0.114
Table 3. Correlation between dispersion ratio with soil physical and chemical properties.
*Significant at p ≤ 0.05.
Figure 2. Effect of sand particle on dispersion ratio.
Figure 3. Effect of clay particle on dispersion ratio.
Figure 4. Effect of silt particle on dispersion ratio.
Figure 5. Effect of bulk density on dispersion ratio.
Figure 6. Effect of specific surface area on dispersion ratio.
Figure 7. Effect of soil organic matter on dispersion ratio.
Figure 8. Effect of calcium carbonate on dispersion ratio.
Figure 9. Effect of clay dispersion ratio on dispersion ratio.
and 0.671) respectively, and dispersion ratio negatively regression with clay, SSA and organic matter coefficient of determination value is (0.530, 0.199 and 0.558).
Variations in soil quality indicators with regard to land use were investigated in Sulaimani city, Kurdistan Region, Iraq. The most limiting soil properties impact quality and have significant effects on land use in the study area like soil organic matter, soil bulk density, soil texture and calcium carbonate. Among soil physical quality indicators, specific surface area and bulk density changed significantly with Land use and also among soil chemical quality indicators, soil organic matter and calcium carbonate varied significantly with land use.
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