AccScience Publishing / AJWEP / Volume 13 / Issue 4 / DOI: 10.3233/AJW-160034
RESEARCH ARTICLE

Geochemical Characterization and Mineralogical  Assemblage of Burhi-Dihing and Noa-Dihing—The  Largest South Bank Tributaries of the Brahmaputra River

Aparna Das1 Sumi Handique1 Monalisa Chaowlu1 Manish Kumar1,2*
Show Less
1 Department of Environmental Science, Tezpur University, Napaam – 784028, Assam
2 School of Natural Resources, University of Nebraska-Lincoln, Lincoln, NE 68583-0817, USA
AJWEP 2016, 13(4), 13–24; https://doi.org/10.3233/AJW-160034
Submitted: 26 July 2016 | Revised: 4 August 2016 | Accepted: 4 August 2016 | Published: 13 October 2016
© 2016 by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC-by the license) ( https://creativecommons.org/licenses/by-nc/4.0/ )
Abstract

Mineralogical studies are valuable in understanding past weathering regimes induced by changing climatic conditions. Information about the bedrock lithology, weathering regimes, erosion and sedimentation rates are fundamental issues for better understanding of the river catchment behaviours. In this context, therefore, major ions, trace metals and clay mineral compositions of the sediment and water of Noa-Dihing and Burhi-Dihing rivers, the southbank tributaries of the Brahmaputra river, have been examined. Chemical index of alteration (CIA) values of both Noa-Dihing and Burhi-Dihing rivers suggests the prevalence of moderate chemical weathering events and formation of minerals such as muscovite, illite and smectite in the river catchment. Metal distribution in both rivers shows highly toxic metals, comprised of 32% of total mineral composition, and are less abundant with respect to moderately toxic metals (37%) except Zr, which comprises 37% and 32% respectively of the total mineral compositions. Comparison of sediment chemistry with composition of source rocks and average Upper Continental Crust (UCC) suggests higher depletion of CaO, Na2O, P2O5, Al2O3, SiO2, MgO and MnO signifying the dominance of mafic mineral phases. Loss of these metal oxides from the bed rocks during weathering and/or less abundance of clay in bed sediments compared to that in UCC may also be attributed to depleted values of these minerals. This is further substantiated by grain size analysis i.e. more abundance of sandy silt as compared to clay minerals in the overbank and channel sediments of Noa-Dihing and Burhi-Dihing rivers. Chemical Index of Alteration (CIA) varies significantly from 64.49 to 81.21, indicating large spatial variability in the intensity of chemical weathering of upper Brahmaputra basin. Multivariate analysis suggests that natural weathering processes of alkaline earth metals can be associated with release of trace metals in a riverine system and releasing mechanism of transition metal and their oxides are same and that of alkali and alkaline earth metal are similar.

Keywords
Geochemistry
mineralogy
Noa-Dihing
Burhi-Dihing
grain size analysis
X-ray diffraction
cluster analysis
Conflict of interest
The authors declare they have no competing interests.
References

Adedokun, O.A., Adeyemo, O.K., Adeleye, E. and R.K. Yusuf (2008). Seasonal Limnological Variation and Nutrient Load of the River System in Ibadan Metropolis, Nigeria. Eur. J. Sci. Res., ISSN 1450-2160, 23(1): 98-108.

APHA, AWWA and WEF (2005). Standard methods for the examination of water and waste water, 21st ed. American Public Health Association, Washington DC.

Astel, A., Biziuk, M., Przyjazny, A. and J. Namiesnik (2006). Chemometrics in monitoring spatial and temporal variations in drinking water quality. Water Res., 40(8): 1706-1716.

Bandopadhyay, P.C. and B. Ghosh (2015). Provenance analysis of the Oligocene turbidites (Andaman Flysch), South Andaman Island: A geochemical approach. J Earth Syst Sci, 124(5): 1019-1037.

Bradfield, R. (1932). The concentration of cations in clay soils. J Phys Chem, 36: 340-347.

Clarke, F.W. and H.S. Washington (1924). The composition of the earth’s crust. U.S. Geol. Survey Prof. Paper, 127: 117.

Dalai, T.K., Rengarajan, R. and P.P. Patel (2004). Sediment geochemistry of the Yamuna River System in the Himalaya: Implications to weathering and transport. Geochemical Journal, 38(5): 441-453.

Eberl, D.D. (2004). Quantitative mineralogy of the Yukon River system: Changes with reach and season, and determining sediment provenance. Am Mineral, 89: 1784-1794.

EL-Wekeil, S.S. and E.A. Abou El-Anwar (2013). Petrology, geochemistry and sedimentation history of Lower Carboniferous shales in Gebel Abu Durba, southwestern Sinai. Egypt Jappl Sci Res, 9(8): 4781-4798.

Gomez-Tuena, A., Straub, S.M. and G.F. Zellmer (2014). Orogenic Andesites and Crustal Growth. Geol Soc London Sci, 414.

Goswami, D.C. (1985). Brahmaputra River, Assam, India: Physiography, Basin Denudation and Channel Aggradation. Water Resour Res, 21(7): 959-978.

Guler, C., Thyne, G.D., Mccray, J.E. and A.K. Turner (2002). Evaluation of graphical and multivariate statistical methods for classification of water chemistry data. Hydrol J, 10: 455-474.

Hartmann, J., Dürr, H.H., Moosdorf, N., Meybeck, M. and S. Kempe (2012). The geochemical composition of the terrestrial surface (without soils) and comparison with the upper continental crust. International Journal of Earth Sciences, 101(1): 365-376.

Helena, B., Pardo, R., Vega, M., Barrado, E., Fernandez, M.J. and L. Fernandez (2000). Temporal evolution of groundwater composition in an alluvial aquifer (Pisuerga river, Spain) by principal component analysis. Water Res,34: 807-816.

Kaiser, D., Kowalski, N., Bottcher, M.E., Yan, B. and D. Unger (2015). Benthic Nutrient Fluxes from Mangrove Sediments of an Anthropogenically Impacted Estuary in Southern China. J Mar Sci Eng, 3: 466-491.

Kouping, C., Jiu, J.J., Jianmin, H. and H. Runqiu (2006). Multivariate statistical evaluation of trace elements in  groundwater in a coastal area in Shenzhen, China. Environ Pollut, 147: 771-780.

Kowalkowski, T., Zbytniewski, R., Szpejna, J. and B. Buszewski (2006). Application chemometrics in river water classification. Water Res, 40: 744-752.

Kumar, M., Kumari, K., Singh, K.U. and AL. Ramanathan (2009). Hydrogeochemical processes in the groundwater environment of Muktsar, Punjab: Conventional graphical and multivariate statistical approach. Environ Geol, 57: 873-884.

Kumar, M., Ramanathan, AL., Rao, M.S. and B. Kumar (2006). Identification and evaluation of hydrogeochemical processes in the groundwater environment of Delhi, India. Environmental Geology, 50(7): 1025-1039.

McCave, I.N. and J.P.M. Syvitski (1991). Principles and methods of particle size analysis. In: J.P.M. Syvitski (ed.), Principles, Methods, and Applications of Particle Size Analysis. Cambridge University Press, New York.

Nepal, S. and A.B. Shrestha (2015). Impact of climate change on the hydrological regime of the Indus, Ganges and Brahmaputra river basins: A review of the literature. Int J Water Resour, D31(2): 201-218.

Nesbitt, H.W. and G.M. Young (1989). Formation and diagenesis of weathering profiles. J Geol, 97: 129-147.

Nesbitt, H.W. and G.M. Young (1982). Early Proterozoic climates and plate motions inferred from major element chemistry of lutites. Nature, 299: 715-717.

Papatheodorou, G., Lambrakis, N. and G. Panagopoulos (2006). Application of multivariate statistical procedures to the hydrochemical study of a coastal aquifer: An example from crete. Greece Intern J Hydrol Process, 21(11): 1482-1495.

Peter, C. and Van de Kamp (2010). Arkose, subarkose, quartz sand, and associated muds derived from felsic plutonic rocks in glacial to tropical humid climate. Journal of Sedimentary Research, 80: 895-918.

Rice, S.P. and M. Church (2001). Longitudinal profiles in simple alluvial systems. Water Resour Res, 37: 417-426.

Rudnick, R.L. and S. Gao (2003). Composition of the continental crust. The Crust In: Treatise on Geochemistry Vol. 3, (Holland, H.D. and Turekian, K.K., eds), Elsevier, Oxford.

Sarma, J.N., Borah, D. and U. Goswami (2007). Change of River Channel and Bank Erosion of the Burhi Dihing River (Assam) Assessed Using Remote Sensing Data and GIS. J Indian Soc Remote, 35(1): 94-100.

Sharma, S. (1996). Applied Multivariate Techniques. John Wiley & Sons, United States.

Shin, P.K.S. and K.Y.S. Fong (1999). Multiple discriminant analysis of marine sediment data. Mar Pollut Bull, 39: 285-294.

Shrestha, S. and F. Kazama (2007). Assessment of surface water quality using multivariate statistical techniques: A case study of Fuji river basin, Japan. Environ Modell Softw, 22: 464-475.

Simeonov, V., Stratis, J.A. and C. Samara (2003). Assessment of the surface water quality in Northern Greece. Wat Res,37: 4119-4124.

Singh, K.P., Malik, A. and D. Mohan (2004). Multivariate statistical techniques for the evaluation of spatial and temporal variation in water quality of Gomti River (India): A case study. Wat Res, 38: 3980-3992.

Taylor, S.R. and S.M. McLennan (1985). The Continental Crust: Its Composition and Evolution. Blackwell, Oxford.

Todorova, Y. and Y. Topalova (2014). Importance of Main Stream/Tributary Interface for Nutrient Dynamics and Microbial Communities in Upper River Sub- catchment. Annu. Res. Rev. Biol., 4(2): 399-411.

Vuba, S., Ahmad, S.M. and N.R. Anipindi (2015). Geochemical and mineralogical studies in recent clastic sediments from upper Godavari river in peninsular India. Journal of the Geological Society of India, 86(1): 107-114.

Zhao, J., Fu, G., Lei, K. and Y. Li (2011). Multivariate analysis of surface water quality in the Three Gorges area of China and implications for water management. J Environ Sci (China), 23(9): 1460-1471.

Zhou, F., Liu, Y. and H. Guo (2007). Application of multivariate statistical methods to water quality assessment of the watercourses in North-western New Territories, Hong Kong. Environ Monit Assess, 132(1-3): 1-13. 

Share
Back to top
Asian Journal of Water, Environment and Pollution, Electronic ISSN: 1875-8568 Print ISSN: 0972-9860, Published by AccScience Publishing