Rapid assessment of surface water quality using statistical multivariate analysis approach: Oder River system case study

Balcerowska-Czerniak, Grażyna; Gorczyca, Beata

doi:10.1016/j.scitotenv.2023.168754

Cited by 5 publications

(1 citation statement)

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“…However, these hydrochemical stoichiometric analyses alone may not effectively distinguish key indicators that control water chemistry characteristics. The multivariate statistical analysis, with its simplicity and efficiency in data processing, has emerged as a promising approach in hydrogeology, highlighting its potential application in this field [11]. Nitrate in water originates from various sources, and hydrochemical characteristics have traditionally been a primary method of identifying nitrogen sources in water.…”

Section: Introductionmentioning

confidence: 99%

Hydrochemical Evolution and Nitrate Source Identification of River Water and Groundwater in Huashan Watershed, China

Li,

Lin,

Zhang

et al. 2024

Sustainability

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The combined hydrochemical analysis, factor analysis, and isotopic signals of water and nitrate were applied to explore the hydrochemical origin and identify the sources and transformation of nitrate in river water and groundwater in the Huashan watershed. Additionally, a Bayesian isotope mixing model (SIAR) was employed for quantitative assessment of the nitrate sources. The results indicated that both river water and groundwater were dominated by HCO3-Ca and HCO3-Ca·Mg types; both originated from precipitation and were influenced by evaporation. The main constituent ions in the river water and groundwater primarily originated from carbonate and silicate dissolution, with the presence of cation exchange in the groundwater. The water chemistry of river water was greatly influenced by physicochemical factors, while that of groundwater was mainly controlled by water–rock interaction. NO3− in river water was mainly influenced by soil nitrogen (SN) and manure and septic wastes (MSWs), while NO3− in groundwater was jointly affected by ammonium fertilizers (AF), SN, and MSWs. With the exception of denitrification observed in the groundwater at the watershed outlet, denitrification was absent in both groundwater in the piedmont area and in river water. The SIAR model results demonstrated that the contribution rates of atmospheric precipitation (AP), AF, SN, and MSWs to river water were 12%, 21%, 25%, and 42%, respectively, while to groundwater, they were 16%, 27%, 10%, and 47%, respectively. Overall, MSWs were the main sources of nitrate in the river water and groundwater. It is necessary to prevent the leakage of MSWs when managing water resources.

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Section: Introductionmentioning

confidence: 99%