Statistical Approaches Link Sources of Sediment Contamination in Subtropical Reservoirs to Land Use: an Example from the Itupararanga Reservoir (Brazil)

Frascareli D, Gontijo ESJ, Silva SC, Melo DS, De Castro Bueno C, Simonetti VC, Barth J, Carlos VM, Rosa AH, Friese K (2022)

Publication Type: Journal article

Publication year: 2022

Journal

Water Air and Soil Pollution Springer Verlag (Germany)

Book Volume: 233

Article Number: 142

Journal Issue: 4

DOI: 10.1007/s11270-022-05574-0

Abstract

The identification and characterisation of diffuse pollutant sources in reservoirs remain a challenge due to the complexity of catchments with their variety of land use types. A sediment fingerprinting approach was used in this investigation for determining the sources of contaminants in sediments. By using this approach, we demonstrated how the effects of land use on pollution load of the subtropical Itupararanga Reservoir in Brazil can be de-convoluted. Sediments were collected at seven sampling sites (S1–S7) over the length of the reservoir. This was matched by eight sampling sites (P1–P8) of soils from different land use types (agriculture, urban and forest). Investigated parameters included grain size, total nitrogen (TN), total phosphorus (TP), total carbon (TC), organic matter by loss on ignition (OM), total sulphur (TS), and major ions and metals (Ca²⁺, Mg²⁺, Na⁺, K⁺, NH4⁺, SO4²⁻, Cl⁻, NO3⁻, As, Al, Ba, Cr, Cu, Fe, Mn, Ni and Zn). Our fingerprinting approach helped to outline horizontal spatial heterogeneities (categorised as riverine, transitional and lacustrine areas) that were attributed mainly to sand (> 26.7%), Si (569 g kg⁻¹) and Cr (336 mg kg⁻¹) at S1 (riverine area). Moreover, fine particles of silt and clay leached from agricultural activities were enriched with OM, TP, TN, TC, As and Cr. These types of sediments were deposited into transitional and lacustrine areas. Furthermore, urban soils were a source of sand and phosphorus to sediments. The fingerprinting method reduced the number of relevant parameters for source identification and helped to identify non-point sources of sediments.

Authors with CRIS profile

Carolina De Castro Bueno Lehrstuhl für Angewandte Geologie Johannes Barth Lehrstuhl für Angewandte Geologie

Involved external institutions

São Paulo State University / Universidade Estadual Paulista "Júlio de Mesquita Filho" (UNESP)

Brazil (BR) University of São Paulo / Universidade de São Paulo (USP)

Brazil (BR) Helmholtz-Zentrum für Umweltforschung (UFZ) / Helmholtz Center for Environmental Research

Germany (DE)

How to cite

APA:

Frascareli, D., Gontijo, E.S.J., Silva, S.C., Melo, D.S., De Castro Bueno, C., Simonetti, V.C.,... Friese, K. (2022). Statistical Approaches Link Sources of Sediment Contamination in Subtropical Reservoirs to Land Use: an Example from the Itupararanga Reservoir (Brazil). Water Air and Soil Pollution, 233(4). https://doi.org/10.1007/s11270-022-05574-0

MLA:

Frascareli, Daniele, et al. "Statistical Approaches Link Sources of Sediment Contamination in Subtropical Reservoirs to Land Use: an Example from the Itupararanga Reservoir (Brazil)." Water Air and Soil Pollution 233.4 (2022).

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