Variability of Unsaturated Hydraulic Conductivities of Landslide Risky Soils in Uva Province of Sri Lanka
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Date
2020
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Publisher
Uva Wellassa University of Sri Lanka
Abstract
Localized slope failures resulting in massive landslides can occur during the rainy season
in the central highlands of Sri Lanka. The objective of this research was to measure and
assess the variability of the field hydraulic conductivities using a minidisk tension
infiltrometer. The selected sites were located in Uva Wellassa University of Sri
Lanka, Haputale, Haldummulla, and Meegahakiula which are located in the Uva province
of Sri Lanka. Using the minidisk infiltrometer, infiltration rates were measured for soil
depths of 0-5, 30-35, and 60-65 cm under suction levels of -3, -2, -1, and -0.5 cm. Soil
core samples were collected to measure bulk densities of respective soil depths while the
soil textural class was identified using the simple method of feeling by hand. The field
moisture content was measured using the oven-dry method. Sieve analysis was performed
to identify particle size distribution and coefficient of uniformity. Field hydraulic
conductivity values were calculated using infiltrometer readings with respect to each
suction rate and soil texture class for all three depths. Textural classes of tested soils were
identified as clay loam to sandy clay loam and the coefficient of uniformity value is
ranging from 4.4 to 6.8. The gravimetric moisture content of soil samples ranged from
0.021 to 0.233 g g-1
for all sites and bulk density ranged from 1.0 g cm-3
to 1.5 g cm-3
.
The highest unsaturated hydraulic conductivity 6.9 × 10-5 m s-1 was observed
in Meegahakiula soil at -0.5 cm suction at a gravimetric moisture content of 0.212 g g-1
for 60-65 cm depth. The lowest hydraulic conductivity 1.0 × 10-6 m s-1 was observed in
the Uva Wellassa University site at -3 cm suction at a gravimetric moisture content of
0.040 g g-1
for 0-5 cm depth. Identifying relationships between hydraulic conductivity and
the soil properties individually and developing prediction equations to demarcate
landslide risky areas are expected to be done in the future.
Keywords: Slope failure, Hydraulic conductivity, Suction, Minidisk infiltrometer
Description
Keywords
Environmental Science, Ecology, Soil Science