Multivariate statistical tool to analyse the environmental magnetic data in Ponnai River Sand, Tamil Nadu

Kumar, C. K. Senthil; Chandrasekaran, A.

doi:10.1007/s12665-020-09241-7

Cited by 9 publications

(5 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A '+' symbol denotes a good association, while a '-' symbol denotes a negative relationship. Using Pearson's correlation analysis, the linkages and strength of any associations between the measured radiological variables are evaluated [27].…”

Section: Bi-variate Statistical Analysismentioning

confidence: 99%

“…Where, A U , A Th , and A K represent the activity concentrations of 238 U, 232 Th, and 40 K in brick samples typical activity concentration per unit mass of 238 U, 232 Th, and 40 K in building materials (50, 50, and 500 respectively), and the fractional contributions to the total dose rate in air due to gamma radiation (f U , f Th , and f K ) to observe the activity utilization index [27,41]. The range of the activity utilization index was 0.19 ± 0.11 to 11.20 ± 0.19 and the mean is 1.43 ± 0.13 (Table 3), which is lower than the world average value of 2.…”

Section: Activity Utilization Indexmentioning

confidence: 99%

See 1 more Smart Citation

Mineralogical characterization and environmental radiation health assessment in brick samples of Tamil Nadu

Karthikayini

Chandrasekaran

2023

Preprint

Self Cite

View full text Add to dashboard Cite

Natural radioactivity due to 238U, 232Th, and 40K in brick samples from Tamil Nadu was determined using gamma-ray spectrometry. The calculated mean activity concentrations of 238U, 232Th, and 40K, 69 ± 6, 62 ± 6, and 462 ± 23 Bq kg− 1, are higher than the world recommended limits of 35, 45, and 420 Bq kg− 1, respectively, and they are compared with the other countries. The calculated radiological parameters radium equivalent activity (193 ± 17 Bq kg− 1), internal hazard index (0.71 ± 0.06), activity utilization index (1.43 ± 0.13) were lower, while absorbed dose rate (89 ± 8 nGy h− 1), annual effective dose equivalent (0.43 ± 0.04 mSv y− 1) and excess lifetime cancer risk (1.52 ± 0.13 mSv y− 1), which are slightly higher than the world’s recommended limits. The minerals presented in the soil samples were identified using FT-IR and XRD techniques. Both techniques revealed that the presence of quartz, orthoclase, kaolinite, microcline, albite, illite, calcite, montmorillonite and organic carbon in the samples. Bi-variate statistical analysis was estimated to corroborate the relationship between radionuclides and radiological hazards.

show abstract

Section: Bi-variate Statistical Analysismentioning

confidence: 99%

Section: Activity Utilization Indexmentioning

confidence: 99%

Mineralogical characterization and environmental radiation health assessment in brick samples of Tamil Nadu

Karthikayini

Chandrasekaran

2023

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…The value of the correlation coe cient ranges between +1 and -1 in terms of the strength of the relationship. A value of ± 1 indicated that the two variables are perfectly associated (Senthil kumar et al, 2020;Harikrishan et al, 2018). The relationship between the two variables would become weaker as the correlation coe cient value shows zero.…”

Section: Pearson Correlation Analysismentioning

confidence: 99%

“…Anthropogenic activities such as disposal of waste water, usage of organic chemicals, mining, smelting, industry, power production, pesticides production, fuel leakage from vehicles and spillage are the main sources of increase the various pollutions in the soil environment. Magnetic measurements on soil, sediment and rocks are used to identify the different pollution sources (Senthil kumar et al, 2020). Naturally the magnetic susceptibility of soil is due to three main sources: lithogenic and pedogenic due to physical, chemical and biological processes.…”

Section: Introductionmentioning

confidence: 99%

“…Saddiki et al(2009) reported that lithology is the most important factor in uencing magnetic susceptibility variations. Many scholars have concentrated on the magnetic properties of soil and their relationship with Physico-chemical properties in the last few years, and several countries have been studied using magnetic susceptibility (Ramasamy et al 2014;Senthil kumar et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Magnetic and Soil Parameters as a Potential Indicator of Soil Pollution

Murthuza¹,

Kuzhali²,

Narasimhan³

et al. 2021

Preprint

View full text Add to dashboard Cite

The aim of this study was to look into the effect of land use or human activity on soil samples and to distinguish between pollution from anthropogenic sources or natural sources using magnetic susceptibility and statistical method. In soil samples from Tiruvannamalai Dist, Tamilnadu, magnetic susceptibility measurements at low frequency (lf) and high frequency (hf) were carried out. The physic-chemical properties such as % of sand, silt, clay, Electrical conductivity (EC) and pH in soil samples were determined using the standard methods. This research involves the identification of ferrimagntic minerals in soil samples from various locations in Tiruvannamalai, Tamil Nadu, using frequency-dependent susceptibility. The mean value of low and high frequency magnetic susceptibility are found to be 273.39 ×10-8m3 kg-1 and 270.51×10-8m3kg-1 respectively. In some locations, the magnetic enhancement value suggests a high concentration of ferrimagntic minerals in the soil. Multivariate statistical analysis, such as factor analysis (FA), Pearson correlation (PC), and cluster analysis (CA), is used to determine the role of physic-chemical parameters on magnetic susceptibilities and to assess the contamination level of soil samples. This analysis revealed that magnetic susceptibility can be used as a proxy for determining the level of contamination in the soil.

show abstract

Determination of natural radioactivity in beach sands collected along the coastal area of Tamilnadu, India using gamma ray spectrometry

Thangam¹,

Rajalakshmi²,

Chandrasekaran³

et al. 2022

J Radioanal Nucl Chem

View full text Add to dashboard Cite

Multivariate statistical tool to analyse the environmental magnetic data in Ponnai River Sand, Tamil Nadu

Cited by 9 publications

References 21 publications

Mineralogical characterization and environmental radiation health assessment in brick samples of Tamil Nadu

Mineralogical characterization and environmental radiation health assessment in brick samples of Tamil Nadu

Magnetic and Soil Parameters as a Potential Indicator of Soil Pollution

Determination of natural radioactivity in beach sands collected along the coastal area of Tamilnadu, India using gamma ray spectrometry

Contact Info

Product

Resources

About