Modified Textural Soil Classification

Khatti, Jitendra; Kaushik, N. P.; Sharma, Jitendra Kumar; Grover, Kamaldeep Singh

doi:10.1007/978-981-15-6086-6_88

Cited by 2 publications

(1 citation statement)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To determine whether the soil is coarse or fine, the percentage of material passing through each sieve was calculated. According to ISSCS (Indian Standard Soil Classification System) and USCS (Unified Soil Classification System), fine-grained soils are those in which >50% of the material has a particle size of <0.075 mm, i.e., more than 50% of the material should pass through sieve #200 (0.075 mm) [ 49 ]. The well-graded or poorly graded nature of the soil can be known by determining the C u (coefficient of uniformity) and C C (coefficient of curvature) values.…”

Section: Methodsmentioning

confidence: 99%

Integrated remote sensing and field-based approach to assess the temporal evolution and future projection of meanders: A case study on River Manu in North-Eastern India

et al. 2022

View full text Add to dashboard Cite

A common phenomenon associated with alluvial rivers is their meander evolution, eventually forming cutoffs. Point bar deposits and ox-bow lakes are the products of lateral bend migration and meander cutoff. The present study focuses on identifying the meanders of River Manu and their cutoffs. Moreover, this study compares the temporal evolution and predicts the progress of selected meanders of River Manu. In the present research, the Survey of India topographical map, satellite imagery, and geographic information system (GIS) technique were used to examine the evolution of the Manu River meander. Subsequently, a field visit was done to the selected cutoffs and meanders of River Manu to ascertain the present status and collect data. It has been observed that many cutoffs have undergone temporal changes, and their sizes have decreased. Some have become dried or converted to agricultural fields. The width of River Manu has decreased in all the selected bends from 1932 to 2017. The sinuosity index has changed from 2.04 (1932) to 1.90 (2017), and the length of the river has decreased by 7 km in 85 years (1932–2017). The decrease in length is evident from lowering the number of meanders. Uniformity coefficient and coefficient of curvature of the bank soil samples were calculated, indicating that the soil is poorly graded and falls under the cohesionless category. Based on cross-section analysis, sediment discharge, grain-size analysis of the bank material, channel planform change, and radius of curvature, it can be stated that almost all the selected bends have the probability of future cutoff. The highest probabilities were observed in bend 3 (Jalai) and bend 4 (Chhontail). This work is aimed to provide planners with decisions regarding the construction of roads and bridges in areas that show the huge dynamicity of river meandering.

show abstract

Section: Methodsmentioning

confidence: 99%

Integrated remote sensing and field-based approach to assess the temporal evolution and future projection of meanders: A case study on River Manu in North-Eastern India

et al. 2022

View full text Add to dashboard Cite

show abstract

Innovative soil fluoride estimation method: dual polarimetric saline-associated fluoride for agricultural patches

Krishnan,

Asaithambi

2024

Environ Sci Pollut Res

View full text Add to dashboard Cite

Fluoride and its constituents in soil affect plant growth and public health. In this study soil fluoride was measured for the semi-arid regions in southern India, using Sentinel-1 data in conjunction with the Dual Polarimetric Saline Associated Fluoride model (also known as Fluoride model). A loss angle was estimated from laboratory-based dielectric components of soil samples with strong electrical conductivity under high and low fluoride conditions. The conductivity loss angle, real and imaginary dielectric constants were used to study fluoride salt's dielectric behaviour. The imaginary dielectric component sensitive to dielectric loss could predict fluoride across large areas over time. This was statistically analysed with R 2 = 0.86, RMSE = 1.90, and Bias = 0.35 showing a promising depiction that C-band SAR data can distinguish fluoride levels over varied clay soil and soil with varying vegetation development. Moreover, the association between biomass and simulated fluoride helped to identify fluoridetolerant and non-tolerant crops. The study found that Sorghum and Oryza sativa tolerate salineassociated fluoride, whereas Peanut and Allium do not. Furthermore, the model successfully retrieves fluoride from saline salts based on tangent loss.

show abstract

Modified Textural Soil Classification

Cited by 2 publications

References 1 publication

Integrated remote sensing and field-based approach to assess the temporal evolution and future projection of meanders: A case study on River Manu in North-Eastern India

Integrated remote sensing and field-based approach to assess the temporal evolution and future projection of meanders: A case study on River Manu in North-Eastern India

Innovative soil fluoride estimation method: dual polarimetric saline-associated fluoride for agricultural patches

Contact Info

Product

Resources

About