Grain size analysis and characterization of sedimentary environment along Thiruchendur coast, Tamilnadu, India

Rajganapathi, V. C.; Jitheshkumar, N.; Sundararajan, M.; Bhat, K.H.; Velusamy, S.

doi:10.1007/s12517-012-0709-0

Cited by 75 publications

(34 citation statements)

References 16 publications

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“…grain sizes and texture). Recently, the use of more sophisticated multivariate statistical methods like factor analysis and discriminant functions have yielded more successful results in identifying the correct depositional process and environments and this is supported by the works of [21][22][23][30][31][32]. This study provides the first relatively detailed grainsize analysis of sandstones from part of the Ecca Group in the study area.…”

Section: Introductionmentioning

confidence: 83%

“…its source or deposited quickly [22]. Most of the Ecca sandstones are fine grained and well sorted meaning they had a reasonable time in the transporting medium and because of the grain to grain interaction, their sizes were perhaps reduced.…”

Section: Graphic Standard Deviation (Sorting) Versus Mean Sizementioning

confidence: 99%

“…The differences in shapes of the curve as well as the position of truncation points of the curve segments putatively allow discrimination of sediments from different environments. However, a number of researchers have reported success in using the two methods, while others have failed to identify the correct environment [19][20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

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Grain size statistics and depositional pattern of the Ecca Group sandstones, Karoo Supergroup in the Eastern Cape Province, South Africa

Baiyegunhi¹,

Liu²,

Gwavava³

2017

Open Geosciences

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Grain size analysis is a vital sedimentological tool used to unravel the hydrodynamic conditions, mode of transportation and deposition of detrital sediments. In this study, detailed grain-size analysis was carried out on thirty-five sandstone samples from the Ecca Group in the Eastern Cape Province of South Africa. Grain-size statistical parameters, bivariate analysis, linear discriminate functions, Passega diagrams and log-probability curves were used to reveal the depositional processes, sedimentation mechanisms, hydrodynamic energy conditions and to discriminate different depositional environments. The grain-size parameters show that most of the sandstones are very fine to fine grained, moderately well sorted, mostly near-symmetrical and mesokurtic in nature. The abundance of very fine to fine grained sandstones indicate the dominance of low energy environment. The bivariate plots show that the samples are mostly grouped, except for the Prince Albert samples that show scattered trend, which is due to the either mixture of two modes in equal proportion in bimodal sediments or good sorting in unimodal sediments. The linear discriminant function analysis is dominantly indicative of turbidity current deposits under shallow marine environments for samples from the Prince Albert, Collingham and Ripon Formations, while those samples from the Fort Brown Formation are lacustrine or deltaic deposits. The C-M plots indicated that the sediments were deposited mainly by suspension and saltation, and graded suspension. Visher diagrams show that saltation is the major process of transportation, followed by suspension.

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Section: Introductionmentioning

confidence: 83%

Section: Graphic Standard Deviation (Sorting) Versus Mean Sizementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Grain size statistics and depositional pattern of the Ecca Group sandstones, Karoo Supergroup in the Eastern Cape Province, South Africa

Baiyegunhi¹,

Liu²,

Gwavava³

2017

Open Geosciences

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“…This variation could have been created by sedimentation processes during the past sewage swamp system (Rahman 1992; Barua and Zamal 2011;Venkatramanan et al 2013a, Hossain et al 2014). Scientific studies have shown that the heavy metal concentration is controlled mainly by the textural composition of the sample, i.e., fine-grained sediments register higher concentrations of trace metals than sand-dominant sediments (Hossain et al 2014;Dar 2014;Venkatramanan et al 2014a, b;Machender et al 2014;Rajganapathi et al 2013). This information has wideranging implications from the environmental perspective as these contaminants get dispersed and find their way into the food web of the aquatic ecosystems.…”

Section: Seasonal Variation Of Soil Parametersmentioning

confidence: 99%

Environmental assessment of water and soil contamination in Rajakhali Canal of Karnaphuli River (Bangladesh) impacted by anthropogenic influences: a preliminary case study

et al. 2015

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Soil and water quality determines the health of an aquatic ecosystem. Rajakhali Canal, a tributary of Karnaphuli River estuary, flowing through Chittagong City (the commercial capital of Bangladesh) receives a huge amount of domestic and industrial wastes and sewages. Monitoring the environmental status of Karnaphuli River and its tributaries is very important for their ecological and economical services provided to city areas. This study evaluated some environmental characteristics of water and soil in the Rajakhali Canal as it affected the environment, and ultimately the life and human beings of Chittagong City. The mean concentrations of physicochemical parameters were pH (8.5), DO (0.1 mg/L), TA (47.6 mg/L), TDS (631.8 mg/L), TSS (280 mg/L), SO 4 -S (2.3 mg/L), NH 3 (1.1 mg/L), NO 3 -N (0.2 mg/L) and PO 4 -P (0.1 mg/L) in the dry season. During the rainy season, the mean concentrations of physico-chemical parameters were pH (7.01), DO (0.55 mg/L), TA (65.9 mg/L), TDS (653.6 mg/L), TSS (300.3 mg/L), SO 4 -S (1 mg/L), NH 3 -(0.6 mg/L), (NO 3 -N (0.3 mg/L) and PO 4 -P (0.5 mg/L) in water.In case of soil, the mean concentration of physicochemical parameters in dry and rainy seasons was represented respectively as follows: pH (6.8), OM (4.5 %), sand (71.7 %), silt (3.1 %), clay (25.2 %), organic nitrogen (45.4 ppm) and phosphorus (9.6 ppm); and pH (6.7), OM (4.5 %), sand (74.4 %), silt (2.4 %), clay (23.2 %), organic nitrogen (35.3 ppm) and phosphorus (7.6 ppm). The result revealed that water and soil quality of this canal became deteriorated and that the total environment of the water body became polluted due to the anthropogenic activities such as industrial, domestic and irrigation effluents. Statistical analyses also supported that water and soil parameters were strongly correlated (1-tailed 0.05 level and 0.01 level significant) with each other at all stations during all seasons. The result of this study will be useful for management and planning for water quality monitoring in this estuary. To protect this vital estuarine region, the government agencies, private agencies and scientists should work with proper attention.

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“…Statistical patterns in the grain size of coastal sediment in depositional environments have been used successfully to interpret both transport processes and the current and ancient depositional environments (Razik et al, 2014;Rajganapathi et al, 2013;Morgan and Bull, 2007;Friedman, 1979). However, few studies use granulometric analysis as the main tool to properly interpret palaeogeography (Gyllencreutz et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Quartz grain assessment for reconstructing the coastal palaeoenvironment

Machado

Albino

Leal

et al. 2016

Journal of South American Earth Sciences

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Grain size analysis and characterization of sedimentary environment along Thiruchendur coast, Tamilnadu, India

Cited by 75 publications

References 16 publications

Grain size statistics and depositional pattern of the Ecca Group sandstones, Karoo Supergroup in the Eastern Cape Province, South Africa

Grain size statistics and depositional pattern of the Ecca Group sandstones, Karoo Supergroup in the Eastern Cape Province, South Africa

Environmental assessment of water and soil contamination in Rajakhali Canal of Karnaphuli River (Bangladesh) impacted by anthropogenic influences: a preliminary case study

Quartz grain assessment for reconstructing the coastal palaeoenvironment

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