Multivariate factor assessment for lithogenic and anthropogenic distribution of macro and trace elements in surface water. Case study: Basin of the Bregalnica river, Republic of Macedonia

Stafilov, Trajče; Balabanova, Biljana; Šajn, Robert; Tănăselia, Claudiu

doi:10.20450/mjcce.2016.899

Cited by 2 publications

(1 citation statement)

References 25 publications

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“…The Strumica River Basin is a particularly fragile ecosystem that is threatened by the effects of climate change, agriculture that affects water levels and quality, excessive use of fertilizers and pesticides, and the use of water for irrigation. Although the occurrence of various chemical elements in surface waters of other river basins in North Macedonia has been extensively studied Ilić Popov et al 2014;Balabanova et al 2016;Vasilevska et al 2018;Tomovski et al 2018;Stafilov et al 2021), no such study has been conducted for the Srumica basin. Most studies on the quality of water from the Strumica basin relate to groundwater and drinking water, and the presence of potentially toxic elements was found to be of lithogenic origin and mainly due to the geological composition of the area or agricultural activities (Kostik et al 2014;Kovacevik et al 2015Kovacevik et al , 2016Boev et al 2016).…”

Section: Figure 1 Map Of the Republic Of North Macedonia With The Str...mentioning

confidence: 99%

Distribution of chemical elements in surface waters from the Strumica River Basin, North Macedonia

Trajanova,

Šajn,

Stafilov

2023

MJEE

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In this work, the distribution of chemical elements in samples of surface water from the Strumica River Basin, North Macedonia, was studied. The water samples were collected from a total of twelve sites. In addition to the Strumica River, samples were collected from its tributaries: Bansko, Dabile, Turija, Vodoča, Radoviška, and Injevska. The determination of the concentration of 21 elements (Ag,

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Section: Figure 1 Map Of the Republic Of North Macedonia With The Str...mentioning

confidence: 99%

Distribution of chemical elements in surface waters from the Strumica River Basin, North Macedonia

Trajanova,

Šajn,

Stafilov

2023

MJEE

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Multi-Scale Application of Advanced ANN-MLP Model for Increasing the Large-Scale Improvement of Digital Data Visualisation Due to Anomalous Lithogenic and Anthropogenic Elements Distribution

et al. 2022

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The main objective of this paper is to compare and improve spatial distributions models for Pb and Cu in air and soil using the universal kriging and ANN-MLP at the macro regional scale. For this purpose, both models have been applied for visualization of a spatial distribution of lead (Pb) and copper (Cu) in a morphologically and geologically complex area. Two river basins in the eastern part of North Macedonia, have been selected as the main research region due to the extensive anthropogenic impact of long-lasting mining activities, with emphasis on the specific geochemistry of the area. Two environmental media (soil and moss) have been selected as they are much more available as space from biospheres submitted for destruction processes globally. Surface soil and moss as bio-indicator element measurements were submitted in correlation with geospatial data obtained from DEM, land cover data, and remote sensing, and are incorporated into spatial distribution mapping using an advanced prediction modeling technique, ANN-MPL. Both methods have been further compared and evaluated. The comparative data outputs have led to the general conclusion that ANN-MPL gives more realistic, reliable, and comprehensive results than the universal kriging method for the reconstruction of main distribution pathways. The more the factors influencing the process of distribution of the elements increase, the more the use of ANN-MPL improves.

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Multivariate factor assessment for lithogenic and anthropogenic distribution of macro and trace elements in surface water. Case study: Basin of the Bregalnica river, Republic of Macedonia

Cited by 2 publications

References 25 publications

Distribution of chemical elements in surface waters from the Strumica River Basin, North Macedonia

Distribution of chemical elements in surface waters from the Strumica River Basin, North Macedonia

Multi-Scale Application of Advanced ANN-MLP Model for Increasing the Large-Scale Improvement of Digital Data Visualisation Due to Anomalous Lithogenic and Anthropogenic Elements Distribution

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