Assessment of surface and groundwater quality for irrigation purposes in the Danube-Tisa-Danube hydrosystem area (Serbia)

Zemunac, Radoš; Savić, Radovan; Blagojević, Boško; Benka, Pavel; Bezdan, Atila; Salvai, Andrea

doi:10.1007/s10661-021-09294-6

Cited by 12 publications

(11 citation statements)

References 75 publications

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“…For instance, if the SAR value is unknown, it is possible to set up an equal probability of all states in the node. In the example provided above, the same probability was entered for the first two states because the SAR values in analysed watercourses did not exceed 6 for many years (Zemunac et al, 2021). Further, the type of irrigated soil is usually known (suppose it is soil with medium-light texture) and perhaps if the EC value is also known-measured (e.g.…”

Section: Resultsmentioning

confidence: 99%

Irrigation water fitness assessment based on Bayesian network and FAO guidelines

Ilić

Mutavdžić

Srđević

et al. 2022

Irrigation and Drainage

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The use of inappropriate irrigation water may lead to unwanted consequences for the soil, plants, irrigation system equipment and more. Ideally, the assessment of water fitness should include all influential factors and their interdependence. Because that is rarely the case, as an attempt to satisfy such requirements we propose a new approach based on the FAO guidelines and Bayesian network (BN) modelling. Fifteen factors recommended by the FAO were used to create a network to assess irrigation water fitness. The usability of the BN was tested on two water samples from two measuring points in Vojvodina Province, Serbia. The results obtained from the same sample are diverse and depend on the plants' tolerance to salt and ionic toxicity, and on soil texture. For the different conditions at the measuring point Hetin, the probability of no restriction on use varied from 50 to 84%. In the case of the Bačko Gradište measuring point, the probability varied from 66 to 91.5%, and the strongest fitness depends on the soil texture. Comparison of the obtained results with the FAO classification shows high correlation and points to flexibility and adaptability of the created network to change data or working with missing data.

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Section: Resultsmentioning

confidence: 99%

Irrigation water fitness assessment based on Bayesian network and FAO guidelines

Ilić

Mutavdžić

Srđević

et al. 2022

Irrigation and Drainage

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“…The landscape is predominantly lowland (75-90 m above sea), with a temperate continental climate with an average annual precipitation of ~600 mm and an average annual temperature of ~11 • C. This hydro system connects two large rivers, the Danube and the Tisza, and consists of a canal network of almost 1000 km long, with integrated smaller natural water courses and several hydrotechnical facilities (pumping stations, floodgates, ship locks) that ensure the maintenance of water regime. It is mainly composed of 20-40 m wide channels with navigable sections about 2-3 m deep [63,[68][69][70]. In addition, there are about 250 smaller incorporated drainage systems in the watershed with a canal network of 16,000 km [63], most of which flow into the main canals of the HS DTD, loading it with nutrients from a wider catchment area.…”

Section: Study Areamentioning

confidence: 99%

Nitrogen and Phosphorus Concentrations and Their Ratios as Indicators of Water Quality and Eutrophication of the Hydro-System Danube–Tisza–Danube

et al. 2022

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Conserving clean and safe freshwater is a global challenge, with nitrogen (N) and phosphorus (P) as frequent limiting factors affecting water quality due to eutrophication. This paper provides a critical overview of the spatiotemporal variability in both nutrient concentrations and their total mass ratio (TN:TP) in the canal network of the Hydro system Danube–Tisza–Danube at 21 measuring locations monitored by the Environmental Protection Agency of the Republic of Serbia over a length of almost 1000 km, collected once a month during the last decade. A spatiotemporal variation in nutrient concentrations in the tested surface water samples was confirmed by correlations and cluster analyses. The highest TN concentrations were found in winter and early spring (non-vegetation season), and the highest TP concentrations in the middle of the year (vegetation season). The TN:TP mass ratio as an indicator of the eutrophication pointed out N and P co-limitation (TN:TP 8–24) in 64% of samples, N limitation (TN:TP < 8) was detected in 27% and P limitation (TN:TP > 24) in the remaining 9% of water samples. Such observations indicate slow-flowing, lowland water courses exposed to the effects of non-point and point contamination sources as nutrient runoff from the surrounding farmlands and/or urban and industrial zones, but further investigation is needed for clarification. These results are an important starting point for reducing N and P runoff loads and controlling source pollution to improve water quality and underpin recovery from eutrophication in the studied watershed.

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“…When referring to water quality, physical-chemical, chemical, and biological indicators are used to describe the condition of aquatic ecosystems (Córdoba, Martínez, Ferrer 2010;Pantelić et al 2013). Both anthropogenic (agriculture, industry, urbanization) and natural factors (tectonic conditions, topography and lithology of the terrain, climatic conditions, hydrography, and erodibility of the terrain) contribute to quantitative and qualitative changes in the physical and chemical parameters of water quality (Damo, Icka 2013;Zemunac et al 2021). When human activity and heavy urban expansion result in the contamination of water resources, anthropogenic impacts can have detrimental effects within a short period of time (Yunus, Nakagoshi 2004;Dragićević et al 2010).…”

Section: Introductionmentioning

confidence: 99%

Water quality evaluation of the Danube River basin in Bačka (northern Serbia) using multivariate statistical techniques

Milentijević,

Pantelić,

Obradović

et al. 2024

Geografie

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The study aimed to analyze changes in water quality based on ten physicochemical parameters for the Danube River in Bačka. Data from three profiles over a twenty-year interval were used and processed using multivariate statistics. An ANOVA indicated that the quality of surface water is mostly at a satisfactory level. Sufficient amounts of dissolved oxygen indicate a favorable aeration regime. The surpassing of the annual and monthly values of suspended solids was recorded for all profiles (especially in summer). The summary results show that most parameters, except for suspended solids, are within the allowed values for water quality Class II. A Pearson’s correlation test indicates a moderate to weak correlation of the analyzed parameters. A PCA analysis determined the influence of (a) eutrophication processes; (b) ecological factors; and (c) concentrated sources of pollution. Changes in the Danube’s water quality, primarily increased concentrations of suspended solids, can exert a limiting influence on some economic activities and their planning.

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Assessment of surface and groundwater quality for irrigation purposes in the Danube-Tisa-Danube hydrosystem area (Serbia)

Cited by 12 publications

References 75 publications

Irrigation water fitness assessment based on Bayesian network and FAO guidelines

Irrigation water fitness assessment based on Bayesian network and FAO guidelines

Nitrogen and Phosphorus Concentrations and Their Ratios as Indicators of Water Quality and Eutrophication of the Hydro-System Danube–Tisza–Danube

Water quality evaluation of the Danube River basin in Bačka (northern Serbia) using multivariate statistical techniques

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