Series-1 Mar. – Apr. 2023 Issue Statistics
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| Paper Type | : | Research Paper |
| Title | : | Regression Analysis of Multivariate Fluid Geochemical Data representing two distinct systems operative at the geothermal fields of Extra-Peninsular and Peninsular India |
| Country | : | India |
| Authors | : | Amitabha Roy |
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: | 10.9790/0990-1102010110  |
Abstract: The present study deals with the Regression Analysis of multivariate fluid geochemical data to substantiate the findings of earlier Exploratory Factor Analysis in distinguishing two distinct systems of geotherms operative in Extra-Peninsular Himalayan mountain chains and relatively stable landmass or shield of Peninsular India. The regression analysis establishes. relationship between one Dependent Variable (DV) and one or more Independent Variables (IV). Factor analysis aids in the selection of significant fewer independent variables from many insignificant ones. Two different sets of Multivariate geochemical data – one from the tectonically active Extra-Peninsular Himalayan....
[1]. Amitabha Roy, 2023.Comparative Statistical Study of Geochemistry of Geothermal Fields of Peninsular and Extra-Peninsular India. J. Appl. Geol. &Geophys.(ISOR-JAGG), v.17,Issue 1,Ser. II, pp. 32-44.
[2]. A.Roy, 1984.A Computer-Based Factor Model to Elucidate Secondary Trace-Element Distribution Patterns around the Sargipalli Lead-Zinc Sulphide Deposit, Sundergarh District, Orissa (India), J. Geol. Soc.Ind., Volume 25, Issue 6.
[3]. F. Tassi et al., 2010. Fluid geochemistry of hydrothermal systems in the Arica-Parinacota, Tarapaca, and Antofagasta regions (northern chile). J. Volcanol.Geotherm.Res.
[4]. H. Baioumy, 2015. Geochemistry and geothermometry of non-volcanic hot …. J.Volcanol. Geotherm.Res.
[5]. MiroslawGrzesik, 2022. Table containing the values measured and calculated from the regression equation as well as the statistical tests on the regression equation and its coefficients.Institute of Chemical Engineering, Polish Academi of Sciences.
- Citation
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| Paper Type | : | Research Paper |
| Title | : | Multivariate Geostatistical Modeling of Fluid Geochemistry in Peninsular and Extra-Peninsular India |
| Country | : | India |
| Authors | : | Amitabha Roy |
|
: | 10.9790/0990-1102011122 |
Abstract: Two sets of spatially dependent multivariate geothermal data representing two spatially distinctive regions of diverse geologic-tectonic settings – one from 2400 km long arcuate belt of tectonically active Extra-Peninsular Himalayan region and the other from Late-Precambrian or Proterozoic mobile belts in the Central Highland in otherwise a stable landmass or shield of Penininsular India, were subjected to robust statistical techniques of Exploratory Factor Analysis followed by multiple regression analyses to find out the genesis of geothermal hot springs spread over these areas conspicuously associating with the respective tectonic zones of different degrees of severity. The objective......
Keywords: Geostatistics, Geothermal, Geochemical, Factor Analysis, Multiple Linear Regression, Geologic-tectonic, Peninsular-Extra Peninsular India, Himalayan mountains, Proterozoic mobile belt, spatial dependency.
[1]. Ravi Shankar et al., Geothermal Atlas of India, GSI Spec Publ, (1991)
[2]. A.Roy, 1994. GTHERMIS – An information management and analysis system in geothermal data of India. A field season 1993-94 program as an R&D Item No.7/WB-5
[3]. Amitabha Roy, 2023. Comparative Statistical Study of Geochemistry of GeothermalFfields of Peninsular and Extra Peninsular India. J. Appl. Geol. & Geophys (ISOR-JAGG), V. 11, Issue I, Ser. II, pp. 32-44
[4]. Awang , Z. 2014. Research Methodology and data analysis…..
[5]. Miroslaw Grzesik, 2022. Table containing the values measured and calculated from the regression equation as well as the statistical tests on the regression equation and its coefficients, Institute of Chemical Engineering, Polish Academi of Sciences
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| Paper Type | : | Research Paper |
| Title | : | A Systematic Approach to Approximate the Sources of Contaminants in the Groundwater Studies |
| Country | : | India |
| Authors | : | Priyadarshan S. Ganvir || Gaurav R. Nimbarte |
|
: | 10.9790/0990-1102012328 |
Abstract: The pollution in the groundwater system has been a typical issue in the contemporary world. An evaluation and mitigation inspirations are requisites to take control over the pollution issues. The pollutants in the groundwater are clearly persistent and pose a serious hazard for considerable length to the depending biota in broad term and to the human beings in precise. The examinations of the contaminated groundwater systems or vulnerable ones are the act of must. The most crucial phase among it is the source approximation with the latent strength of closing remarks of the study. The complications in the hydro-geochemistry and manifold operating dynamics in the groundwater system, forces the utilization of an effectual approach to plot the sources of contaminations on the ground. The principal component analysis is the widely assured technique for the hunting down the sources of evaluated variables......
Keywords - Principal Component Analysis, Groundwater Contamination, Source Approximation, Interpolation, ArcGIS.
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[2]. Mufid al-hadithi. Application of water quality index to assess suitability of groundwater quality for drinking purposes in Ratmao –Pathri Rao watershed, Haridwar District, India. American Journal of Scientific and Industrial Research. 2012;v.3(6):395-402.
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[4]. Ganvir, P.S. and Guhey, R. Hydro-geochemical elucidation and its implications in the Wardha valley coalfields of central India. IOP Conference Series: Earth and Environmental Science. 2022;v.1032:012015.
[5]. Ganvir, P.S. and Papadkar, J.N. Hydro-Geochemistry and Human Health: A Brief Review. International Journal of Food and Nutritional Sciences. 2022;v.11:223-227