Effect of Soil Texture on Soil Infiltration Rate

Folorunso, O. P.; Aribisala, J. O.

doi:10.9734/acri/2018/41974

Cited by 4 publications

(11 citation statements)

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“…Due to this, rainfall was able to runoff into the watercourse, causing a quicker lag time and a higher peak. [84]. This may be an indication as to why the current HofE site peak flow is highe that of grassland, particularly in the winter.…”

Section: Antecedent Conditions and Resultsmentioning

confidence: 94%

“…Grassland continually showing the greatest reduction in peak flow may have been influenced by several external factors. The grassland control site comprises of a sandier soil texture than the pedology of the other sample sites (with the exception of 2010, see Table 1), making it more permeable [84]. This means that when the grassland infiltration data are applied to the whole site to the represent grassland coverage, it is not accounting for variations in soil texture across the site [85][86][87].…”

Section: Antecedent Conditions and Resultsmentioning

confidence: 99%

“…Additionally, Table 1 shows that the cc. 1900, 2008, and 2012 sites are comprised of a clay-heavy soil texture, meaning that they are naturally less permeable due to the smaller particle sizes of clay compared with sand [84]. This may be an indication as to why the current HofE site peak flow is higher than that of grassland, particularly in the winter.…”

Section: Antecedent Conditions and Resultsmentioning

confidence: 99%

“…This study is also representative of a clay-textured site, the same soil texture as 15% of the UK, indicating that if woodland can show a reducing in peak flow across this study site, similar results will be seen in other similar sites. Further to this, the results will likely be more significant in areas inherent of a more permeable soil texture [84].…”

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confidence: 95%

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Modelling the Hydrological Effects of Woodland Planting on Infiltration and Peak Discharge Using HEC-HMS

Revell

Lashford

Rubinato

2021

Water

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Woodland planting is gaining momentum as a potential method of natural flood management (NFM), due to its ability to break up soil and increase infiltration and water storage. In this study, a 2.2 km2 area in Warwickshire, England, planted with woodland every year from 2006 to 2012, was sampled using a Mini Disk infiltrometer (MDI). Infiltration measurements were taken from 10 and 200 cm away from the trees, from November 2019 to August 2021. Two individual hydrological models were built using the US Hydraulic Engineering Center Hydrological Modelling System (HEC-HMS), to model the effects of infiltration change on peak flows from the site throughout the summer and winter. The models were calibrated and validated using empirical data; the Nash and Sutcliffe Efficiency (NSE) was used as an indicator of accuracy. Results from this study show that woodland planting reduced peak flow intensity compared to impermeable land cover by an average of 6%, 2%, and 1% for 6-h, 24-h, and 96-h winter storms, respectively, and 48%, 18%, and 3% for 6-h, 24-h, and 96-h summer storms, respectively. However, grassland simulations show the greatest reduction in peak flows, being 32%, 21%, and 10%, lower than woodland for 6-, 24-, and 96-h winter storms, respectively, and 6%, 3%, and 0.5% lower than woodland for 6-, 24-, and 96-h summer storms, respectively.

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Section: Antecedent Conditions and Resultsmentioning

confidence: 94%

Section: Antecedent Conditions and Resultsmentioning

confidence: 99%

Section: Antecedent Conditions and Resultsmentioning

confidence: 99%

mentioning

confidence: 95%

See 2 more Smart Citations

Modelling the Hydrological Effects of Woodland Planting on Infiltration and Peak Discharge Using HEC-HMS

Revell

Lashford

Rubinato

2021

Water

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“…The 10 cm datums were identified, and a line was measured from the base of the tree in the direction of least obstruction (i.e., no other trees, undergrowth, or shrubbery intruding the area) to mark the location of the 200 cm measurement locations; 50 cm was measured either side of the line to identify replica locations. Replication could not take place in the exact same location as the initial infiltration measurement, as any measurements would be skewed due to previous saturation of the soil; so, 50 cm was chosen to avoid lateral seepage (leading to the overestimation of infiltration values) [54][55][56]. The control site measurements were collected in a triangular pattern, with each replication being 50 cm from the last to avoid lateral seepage (Figure 3a and 3b).…”

Section: Sample Area and Infiltration Data Collectionmentioning

confidence: 99%

The Impact of Tree Planting on Infiltration Dependent on Tree Proximity and Maturity at a Clay Site in Warwickshire, England

Revell

Lashford

Rubinato

2022

Water

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Urbanisation and the replacement of previously vegetated areas with impermeable surfaces reduces the lag times of overland flow and increases peak flows to receiving watercourses; the magnitude of this will increase as a result of climate change. Tree planting is gaining momentum as a potential method of natural flood management (NFM) due to its ability to break up soil and increase infiltration and water storage. In this study, a 2.2 km2 clay-textured area in Warwickshire, England, planted with trees every year from 2006 to 2012 was sampled to investigate how infiltration varies dependent on season and tree proximity and maturity. Infiltration data was collected from 10 and 200 cm away from selected sample trees from November 2019 to August 2021 using a Mini Disk infiltrometer (MDI). The results show that mean infiltration is higher at the 10 cm proximity compared with the 200 cm proximity by 75.87% in winter and 25.19% in summer. Further to this, mean 10 cm infiltration is 192% higher in summer compared with winter, and mean 200 cm infiltration is 310% higher in summer compared with winter. There is little evidence to suggest a relationship between infiltration and tree maturity at the study site.

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Spatial Variability of Infiltration Rate in Inceptisol and Entisol Soils of Sahyadri Foothills of Western India

Krishnapriya¹,

Patil²,

Leno

et al. 2023

IJECC

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Aim: To characterize the spatial variability of infiltration in both Inceptisol and Entisol soils of irrigated farms of College of Agriculture, Pune. Study Design: Ten GPS based locations each from Inceptisol and Entisol were selected randomly and infiltration rates were computed using double ring infiltrometer. Place and Duration of Study: The research was conducted at irrigated farms of College of Agriculture, Pune, between January 2019- May 2019. Methods: Soil samples collected from these spots were analysed in lab for its physical and chemical properties and thus to arrives a correlation between infiltration rates and soil physico-chemical properties. Results: Porosity (r =0.44*), per cent silt (0.58 **), per cent sand (0.57**) and hydraulic conductivity (0.53**) showed positive correlation with the cumulative infiltration rate, while the bulk density (r = -0.44*) and electrical conductivity (-0.84**) gave a negative correlation with the cumulative infiltration rate. Infiltration rates of soil varies with the spatial variability.

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Effect of Soil Texture on Soil Infiltration Rate

Cited by 4 publications

References 0 publications

Modelling the Hydrological Effects of Woodland Planting on Infiltration and Peak Discharge Using HEC-HMS

Modelling the Hydrological Effects of Woodland Planting on Infiltration and Peak Discharge Using HEC-HMS

The Impact of Tree Planting on Infiltration Dependent on Tree Proximity and Maturity at a Clay Site in Warwickshire, England

Spatial Variability of Infiltration Rate in Inceptisol and Entisol Soils of Sahyadri Foothills of Western India

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