In the light of climate changes and in order to achieve stable crop production, irrigation represents an inevitable measure. Apart from water quantity, water quality represents a matter of concern. The paper elaborates on the presence of iron and manganese, as the main factors of causing the clogging of irrigation systems. The examined well water samples were taken mainly from Serbia. Photometric methods were applied for determining iron and manganese, and sensors for pH and conductivity. The obtained values were later subjected to a classification for irrigation water and the well water samples were classified according to the given thresholds. Precise location and presentation of the obtained results were done using the Geographic information system. The research has shown that from the analysed well water, only in 6 samples iron concentrations were increased up to a level classified as “extreme restrictions,” 4 samples as “warning,” while 31 samples of water were “adequate for irrigation.” Concerning manganese, in only one sample water was classified as “extreme restrictions,” in 14 as “warning” and in 26 as “adequate for irrigation.” pH and conductivity did not coincide with elevated concentrations of iron and manganese, but in the cases of exceeding thresholds, special attention should also be paid to these parameters.
Waters are among to the most vulnerable environmental resources exposed to the impact of various point and non-point pollutants from rural/urban activities. Systematic and long-term monitoring of hydro-resources is therefore of crucial importance for sustainable water management, although such practice is lacking across many (agro-)hydro-ecosystems. In the presented study, for the first time, the spatial distribution (covering almost 9000 ha) and temporal variation (2006-2013) in certain quality parameters was characterized in drainage watercourses Tatarnica and Subic, whose catchment is rural and suburban areas close to the city of Novi Sad, Republic of Serbia. Based on majority of observed parameters, both watercourses belonged to I and II water quality classes, with occasional presence of certain parameters (e.g., suspended solids, total phosphorus; ammonium) at extreme values exacerbating both watercourses to classes IV and V. The value of the synthetic pollution index (i.e., a combined effect of all considered parameters) showed a higher degree of water pollution in watercourse Subic (on average 2.00) than Tatarnica (on average 0.72). Also, cluster analysis for watercourse Tatarnica detected two groups of parameters (mostly related to nutrients and organic matter), indicating more complex impacts on water quality during the observed period, in which elucidation thus established water quality monitoring program would be of great importance.
The Danube River plays significant role not only for preserving natural ecosystems. The aim of this paper is to examine the Middle Danube water quality in the part flowing through Serbia in section Bezdan -Banatska Palanka. Water quality data were examined for seven control points for period 2004-2018, for seven parameters: suspended solids (SS), dissolved oxygen (DO), electrical conductivity (EC), nitrates (NO3
–-N), total phosphorus (Ptot), biochemical oxygen demand (BOD5) and chemical oxygen demand (COD). Data analyses included the application of ANOVA, linear regression analysis and Mann-Kendall trend test. The Mann-Kendall tests in most (32/49) cases, i.e. in 65 %, confirmed the non-existence of a significant trend. Significant downward trends were confirmed in 17 cases. Water quality improvement was confirmed at following control points: Bezdan for NO3
–-N, Ptot and BOD5; Bogojevo for NO3
–-N, Ptot, COD and BOD5; Novi Sad for Ptot, BOD5 and COD; Slankamen for BOD5 and COD; Smederevo for NO3
–-N and COD; Banatska Palanka for NO3
–-N. Slight deterioration of water quality was confirmed only in two cases, at the Zemun and Smederevo where DO was decreasing. Water quality for the examined period was stable and can be characterised as excellent and/or very good (class I or class II). Results emphasise fact that water quality trends monitoring reveals river sectors where the process of water quality degradation is ongoing. Timely detected critical river sectors can draw the attention of decision-makers, who can improve the existing legislation that would lead to water quality improvement.
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