塞尔维亚多瑙河中段水质参数趋势分析

Andrea Salvai, J. Grabić, Jasmina Josimov-Dundjerski, Radoš Zemunac, Nenad Antonic, R. Savić, B. Blagojević
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引用次数: 4

摘要

多瑙河不仅具有保护自然生态系统的重要作用。本文的目的是研究多瑙河中游流经塞尔维亚的贝兹丹-巴纳茨卡-帕兰卡河段的水质。研究了2004-2018年7个控制点的水质数据,包括7个参数:悬浮物(SS)、溶解氧(DO)、电导率(EC)、硝酸盐(NO3—N)、总磷(Ptot)、生化需氧量(BOD5)和化学需氧量(COD)。数据分析采用方差分析、线性回归分析和Mann-Kendall趋势检验。在大多数(32/49)病例中,即65%的病例中,Mann-Kendall检验证实不存在显著趋势。17例患者有明显的下降趋势。在以下控制点确认水质改善:NO3—N、pot和BOD5的Bezdan;Bogojevo为NO3—N、pto、COD和BOD5;诺维萨德为ppt, BOD5和COD;BOD5和COD的Slankamen;Smederevo为NO3——N和COD;Banatska Palanka表示NO3—N。只有泽蒙和斯梅代雷沃两个地区的水质出现轻微恶化,那里的DO正在下降。在调查期间,水质稳定,可评定为优秀和/或非常好(I类或II类)。结果强调,水质趋势监测揭示了水质退化过程正在进行的河流部门。及时发现关键河段可以引起决策者的注意,他们可以改善现有的立法,从而改善水质。
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Trend Analysis of Water Quality Parameters in the Middle Part of the Danube Flow in Serbia
Abstract 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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