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Environments 2018, 5(1), 6; https://doi.org/10.3390/environments5010006

# Prediction of Reservoir Sediment Quality Based on Erosion Processes in Watershed Using Mathematical Modelling

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Faculty of Civil Engineering, Institute of Environmental Engineering, Technical University of Košice, 042 00 Košice, Slovakia
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Faculty of Civil Engineering, Institute of Construction Technology and Management, Technical University of Košice, 042 00 Košice, Slovakia
*
Author to whom correspondence should be addressed.
Received: 30 November 2017 / Revised: 25 December 2017 / Accepted: 27 December 2017 / Published: 29 December 2017

# Abstract

Soil erosion, as a significant contributor to nonpoint-source pollution, is ranked top of sediment sources, pollutants attached to sediment, and pollutants in the solution in surface water. This paper is focused on the design of mathematical model intended to predict the total content of nitrogen (N), phosphorus (P), and potassium (K) in bottom sediments in small water reservoirs depending on water erosion processes, together with its application and validation in small agricultural watershed of the Tisovec River, Slovakia. The designed model takes into account the calculation of total N, P, and K content adsorbed on detached and transported soil particles, which consists of supplementing the soil loss calculation with a determination of the average nutrient content in topsoils. The dissolved forms of these elements are neglected in this model. Validation of the model was carried out by statistical assessment of calculated concentrations and measured concentrations in Kľušov, a small water reservoir (Slovakia), using the t-test and F-test, at a 0.05 significance level. Calculated concentrations of total N, P, and K in reservoir sediments were in the range from 0.188 to 0.236 for total N, from 0.065 to 0.078 for total P, and from 1.94 to 2.47 for total K. Measured nutrient concentrations in composite sediment samples ranged from 0.16 to 0.26% for total N, from 0.049 to 0.113% for total P, and from 1.71 to 2.42% for total K. The statistical assessment indicates the applicability of the model in predicting the reservoir’s sediment quality detached through erosion processes in the catchment. View Full-Text
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

MDPI and ACS Style

Junakova, N.; Balintova, M.; Vodička, R.; Junak, J. Prediction of Reservoir Sediment Quality Based on Erosion Processes in Watershed Using Mathematical Modelling. Environments 2018, 5, 6.

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

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