Predicting Soil Erodibility Using Electrical Resistivity Tomography

Karim, Zahidul; Tucker-Kulesza, Stacey E.

doi:10.1061/(asce)gt.1943-5606.0001857

Cited by 15 publications

(3 citation statements)

References 48 publications

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“…Runoff plots and check dams are the traditional monitoring methods [ 20 , 26 , 27 ]. Recently, the development of GIS has provided new methods for soil erosion research [ 28 , 29 ], such as geomatics approach [ 30 ] and geospatial approach [ 31 ], and electrical resistivity tomography [ 32 ] has also been used for in situ measurement. In the data-scarce regions, genetic algorithm can be utilized to estimate the average erodibility parameters [ 33 ].…”

Section: Introductionmentioning

confidence: 99%

Distribution of Shrubland and Grassland Soil Erodibility on the Loess Plateau

Zhang

Zhao

Wang

et al. 2018

IJERPH

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Soil erosion is one of the most severe problems facing environments and has increased throughout the 20th century. Soil erodibility (K-factor) is one of the important indicators of land degradation, and many models have been used to estimate K values. Although soil erodibility has been estimated, the comparison of different models and their usage at a regional scale and, in particular, for different land use types, need more research. Four of the most widely distributed land use types were selected to analyze, including introduced and natural grassland, as well as introduced and natural shrubland. Soil particle size, soil organic matter and other relevant soil properties were measured to estimate soil erodibility in the Loess Plateau. The results show that: (1) the erosion productivity impact calculator (EPIC) model and SHIRAZI model are both suitable for the Loess Plateau, while the SHIRAZI model has the advantage of fewer parameters; (2) introduced grassland has better ability to protect both the 0–5 cm soils and 5–20 cm soils, while the differences between introduced and natural shrubland are not obvious at a catchment scale; (3) the K values of introduced grassland, natural grassland, introduced shrubland and natural shrubland in the 0–5 cm layer vary from 0.008 to 0.037, 0.031 to 0.046, 0.012 to 0.041 and 0.008 to 0.045 (t·hm2·h/(MJ·mm·hm2)), while the values vary from 0.009 to 0.039, 0.032 to 0.046, 0.012 to 0.042 and 0.008 to 0.048 (t·hm2·h/(MJ·mm·hm2)) in the 5–20 cm layer. The areas with a mean multiyear precipitation of 370–440 mm are the most important places for vegetation restoration construction management at a regional scale. A comprehensive balance between water conservation and soil conservation is needed and important when selecting the species used to vegetation restoration. This study provides suggestions for ecological restoration and provides a case study for the estimate of soil erodibility in arid and semiarid areas.

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Section: Introductionmentioning

confidence: 99%

Distribution of Shrubland and Grassland Soil Erodibility on the Loess Plateau

Zhang

Zhao

Wang

et al. 2018

IJERPH

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“…A maximum spread of 180 m with the corresponding depth of 30 m was investigated and modeled on the profiles as shown in Figure 3. (Karim and Tucker-Kulesza, 2018;Karim et al, 2019). The near-surface along this traverse is thus suspected to be prone to deep seated erosion due to deep distributions of the high resistivity values.…”

Section: Resultsmentioning

confidence: 99%

Electrical Resistivity Tomography (ERT) for the Investigation of Erosion site in Oredide Village, Auchi in Etsako West LGA of Edo State, Southern Nigeria

Babaiwa¹,

Airen²

2021

jasem

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The Dipole –Dipole array was used for Constant Separation Traversing (CST) to investigate subsurface lithology in Oredide village, Auchi, Edo state with a view to determining the vulnerability or otherwise of the menace of erosion in the area. All the traverses were carried out with electrode spacing of 10 m with a spread of 200 m. The data was obtained using Pasi terrameter (16-GL) and processed with the Dipro software. The results revealed that the subsurface is underlain by the topsoil, lateritic sand, sand and sandstone. 2D results indicate topsoil with resistivity value range of 309 to 40130 Ωm within the depth range of 0 to 5 m. The second layer corresponds to sandy, lateritic sand, sand and sandstone having resistivity values ranging from 2186 to 60350 Ωm to a depth of 10.0 m. The third layer has resistivity values indicating lateritic sand, sand and sandstone layer with resistivity values ranging from 2186 to 60350 within the depth of 20 m. The fourth layer connotes lateritic sand, sand and sandstone to a depth of 30 m. The fifth horizon has resistivity values in the range of 585.2 to 35732.4 Ωm which is representative of sand and sandstone.The maximum depth imaged was 47.7 m.The inverted 2-D resistivity structure shows high resistivity distribution near-surface >1000 Ωm, which are indications of vulnerabilities to erosion in the study area with depth of scouring being 15 m.

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“…Note that, the geomaterial was selected so that the required amount could be secured in three large-scale experiments. In addition, in this study, the erosion rate and hydraulic conductivity ware unknown because the geological materials were not investigated using the EFA (Erosion Function Apparatus) 12) or the hydraulic permeability test.…”

Section: Test Program (1) Open-channel Apparatusmentioning

confidence: 99%

Large-Scale Open-Channel Experiments on the Collapse of Abutment Backfill Owing to Floods and Proposed Countermeasure

et al. 2021

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In Japan, great damage to abutment backfills caused by large-scale floods occurs every year. It is necessary to examine the fundamental collapse mechanism on as close to full scale as possible, in order to achieve a sufficient effect of the similarity laws in geotechnical engineering, river engineering, and bridge engineering. In this study, geotechnical evaluations were carried out, such as observation of pore water pressure behavior in an embankment, settlement of an embankment crest, and applicability of a reinforced soil wall as a countermeasure construction, under conditions affected by flowing water. The results show that the collapse behavior of an embankment surface differs depending on the soil properties of the embankment material. The erosion of the river bed progressed even in the footing lower surface of the abutment foundation and in the upstream side of the abutment, where the flow velocity was locally large and changes in the flow direction were confirmed. In addition, when a gabion-reinforced earth wall with water permeability was used for the wall surface construction as a countermeasure, washout of the embankment in the abutment to the extent that a pavement surface above would collapse did not occur, thereby confirming the gabion's usefulness as a countermeasure.

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Predicting Soil Erodibility Using Electrical Resistivity Tomography

Cited by 15 publications

References 48 publications

Distribution of Shrubland and Grassland Soil Erodibility on the Loess Plateau

Distribution of Shrubland and Grassland Soil Erodibility on the Loess Plateau

Electrical Resistivity Tomography (ERT) for the Investigation of Erosion site in Oredide Village, Auchi in Etsako West LGA of Edo State, Southern Nigeria

Large-Scale Open-Channel Experiments on the Collapse of Abutment Backfill Owing to Floods and Proposed Countermeasure

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