Spatial and Temporal Analysis of Nitrate Dynamics along the Tigris River

IF 1.2 Q4 WATER RESOURCES
Muwafaq H. Al Lami
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Abstract

Given the wide dependency on surface water used to supply drinking water, agricultural irrigation, and industrial activities, nitrate pollution has posed a serious concern in the Tigris River in recent years. The main objective of this study was to develop an understanding of the spatiotemporal patterns of nitrate distribution in the Tigris River through an integrated approach using hydrological data, physicochemical parameters, and model-based analysis. Eighty-four monthly sampling campaigns from forty monitoring locations along the Tigris River were carried out from January 2011 to December 2018. Obtained results demonstrated that the NO3- dynamics were strongly correlated with the length of transport distance and flow rates along the river system (p < 0.05). High flow rates in the upper courses of the river system favored physical transport of NO3- and promoted a dilution effect. However, low flow rates in the lower sections favored the accumulation processes of NO3- and promoted a concentration effect. High concentration of 7.0±1.96 g NO3- m-3 was observed in February 2018 downstream in the river. No significant seasonal effect in NO3- concentrations were observed. These results were supported by the changes in dissolved oxygen concentration and pH in the river system and indicated high nitrification rates and elevated NO3- accumulation, particularly downstream in the river. This modeling approach has also confirmed field observations of NO3- dynamics with 65% of the variances in the river system being explained by the model.
底格里斯河沿岸硝酸盐动态的时空分析
由于底格里斯河广泛依赖地表水来提供饮用水、农业灌溉和工业活动,硝酸盐污染近年来在底格里斯河中引起了严重关注。本研究的主要目的是通过综合利用水文数据、理化参数和基于模型的分析方法,了解底格里斯河硝酸盐分布的时空格局。2011年1月至2018年12月,在底格里斯河沿岸的40个监测点进行了84次月度抽样活动。结果表明,NO3-的动态变化与水系输运距离长度和流量密切相关(p < 0.05)。河流水系上游的高流速有利于NO3-的物理输送,促进了稀释效应。低流速有利于NO3-的积累过程,促进了浓度效应。2018年2月,河流下游NO3- m-3浓度为7.0±1.96 g。NO3-浓度没有明显的季节效应。这些结果得到了河流系统中溶解氧浓度和pH值变化的支持,并表明硝化速率高,NO3-积累增加,特别是在河流下游。这种建模方法也证实了NO3-动力学的实地观测结果,该模型可以解释65%的河流系统差异。
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来源期刊
CiteScore
1.30
自引率
0.00%
发文量
8
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