Bank Material Characteristics and its Impact on River Bank Erosion, West Tripura District, Tripura, North-East India

Bhowmik, Moujuri; Das, Nabanita; Das, Champakali; Ahmed, Istak; Debnath, Jatan

doi:10.18520/cs/v115/i8/1571-1576

Cited by 11 publications

(6 citation statements)

References 2 publications

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“…The research on the relationship between soil erosion and different underlying surface conditions mainly has the following two aspects. On the one hand, the characteristics of soil erosion are assessed based on empirical models [9][10][11][12][13][14][15][16][17][18]. For example, Thomas et al [19] calculated the long-term average annual soil loss and sediment yield by using a combination of the Revised Universal Soil Loss Equation (RUSLE) and the sediment delivery ratio (SDR) models in the Southern Western Ghats, India.…”

Section: Introductionmentioning

confidence: 99%

Spatial Variabilities of Runoff Erosion and Different Underlying Surfaces in the Xihe River Basin

Wang

Yao

Liu

et al. 2019

Water

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Runoff erosion capacity has significant effects on the spatial distribution of soil erosion and soil losses. But few studies have been conducted to evaluate these effects in the Loess Plateau. In this study, an adjusted SWAT model was used to simulate the hydrological process of the Xihe River basin from 1993 to 2012. The spatial variabilities between runoff erosion capacity and underlying surface factors were analyzed by combining spatial gradient analysis and GWR (Geographically Weighted Regression) analysis. The results show that the spatial distribution of runoff erosion capacity in the studying area has the following characteristics: strong in the north, weak in the south, strong in the west, and weak in the east. Topographic factors are the dominant factors of runoff erosion in the upper reaches of the basin. Runoff erosion capacity becomes stronger with the increase of altitude and gradient. In the middle reaches area, the land with low vegetation coverage, as well as arable land, show strong runoff erosion ability. In the downstream areas, the runoff erosion capacity is weak because of better underlying surface conditions. Compared with topographic and vegetation factors, soil factors have less impact on runoff erosion. The red clay and mountain soil in this region have stronger runoff erosion capacities compared with other types of soils, with average runoff modulus of 1.79 × 10−3 m3/s·km2 and 1.68 × 10−3 m3/s·km2, respectively, and runoff erosion power of 0.48 × 10−4 m4/s·km2 and 0.34 × 10−4 m4/s·km2, respectively. The runoff erosion capacity of the alluvial soil is weak, with an average runoff modulus of 0.96 × 10−3 m3/s·km2 and average erosion power of 0.198 × 10−4 m4/s·km2. This study illustrates the spatial distribution characteristics and influencing factors of hydraulic erosion in the Xihe River Basin from the perspective of energy. It contributes to the purposeful utilization of water and soil resources in the Xihe River Basin and provides a theoretical support for controlling the soil erosion in the Hilly-gully region of the Loess Plateau.

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Section: Introductionmentioning

confidence: 99%

Spatial Variabilities of Runoff Erosion and Different Underlying Surfaces in the Xihe River Basin

Wang

Yao

Liu

et al. 2019

Water

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“…Soil gradation is important in geotechnical engineering. Poorly graded soil with high porosity and permeability is susceptible to soil liquefaction [ 52 , 53 ]. This kind of soil does not have a good representation of all particle sizes from no.…”

Section: Resultsmentioning

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

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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.

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“…For the construction of the highway, the consolidation of the river bank was performed by building a concrete wall that had the role of protecting it from the river's erosion. In consequence, in the future, it is possible that the lateral erosion process to concentrate on the opposite river bank, where the bank materials' composition is less cohesive [132]. Furthermore, the presence of the Mintia Power Plant dam changed the river stretch natural flow.…”

Section: Hazard Risk Identificationmentioning

confidence: 99%

Satellite Remote Sensing for the Analysis of the Micia and Germisara Archaeological Sites

et al. 2020

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The capabilities of satellite remote sensing technologies and their derived data for the analysis of archaeological sites have been demonstrated in a large variety of studies over the last decades. Likewise, the Earth Observation (EO) data contribute to the disaster management process through the provision of updated information for areas under investigation. In addition, long term studies may be performed for the in–depth analysis of the disaster–prone areas using archive satellite imagery and other cartographic materials. Hence, satellite remote sensing represents an essential tool for the study of hazards in cultural heritage sites and landscapes. Depending on the size of the archaeological sites and considering the fact that some parts of the site might be covered, the main concern regards the suitability of satellite data in terms of spatial and spectral resolution. Using a multi–temporal Sentinel–2 dataset between 2016 and 2019, the present study focuses on the hazard risk identification for the Micia and Germisara archaeological sites in Romania as they are endangered by industrialisation and major infrastructure works and soil erosion, respectively. Furthermore, the study includes a performance assessment of remote sensing vegetation indices for the detection of buried structures. The results clearly indicate that Sentinel–2 imagery proved to be fundamental in meeting the objectives of the study, particularly due to the extensive archaeological knowledge that was available for the cultural heritage sites. The main conclusion to be drawn is that satellite–derived products may be enhanced by integrating valuable archaeological context, especially when the resolution of satellite data is not ideally fitting the peculiarities (e.g., in terms of size, underground structures, type of coverage) of the investigated cultural heritage sites.

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Bank Material Characteristics and its Impact on River Bank Erosion, West Tripura District, Tripura, North-East India

Cited by 11 publications

References 2 publications

Spatial Variabilities of Runoff Erosion and Different Underlying Surfaces in the Xihe River Basin

Spatial Variabilities of Runoff Erosion and Different Underlying Surfaces in the Xihe River Basin

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

Satellite Remote Sensing for the Analysis of the Micia and Germisara Archaeological Sites

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