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Impact of rainfall characteristics on the NO3 - N concentration in a tailwater recovery ditch

机译:降雨特征对尾水恢复沟中NO3 - N浓度的影响

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Rainfall characteristics can be a major factor influencing the ability of best management practices to reduce nutrient loss from agricultural lands to receiving waterbodies. The goal of this study was to examine how rainfall characteristics impacted NO3 - N concentrations in a tailwater recovery (TWR) ditch implemented at a farm within the Porter Bayou watershed in Mississippi, USA. We used a methodology that correlates rainfall characteristics (Le., a combination of variables such as depth, intensity, frequency, duration, and antecedent hydrological conditions before water sampling) and NO3 - N levels measured in the ditch. Subsequently, a hierarchical clustering approach was implemented to classify rainfall events in the context of the NO3 - N concentrations. Results indicate that NO3 - N concentrations observed in the ditch were strongly dependent on antecedent hydrological conditions within the study area, specifically on the (1) duration of rainfall events before sampling and (2) characteristics of next-to-last rainfall events that occurred prior to sampling. Combined variables of total rainfall depth and frequency showed that rainfall classes I and III were likely to have the most impact on in-ditch NO3 - N concentration. Effects of class I rainfall events on NO3 - N levels appear to be magnified under higher depth, intensity, duration, and a shorter time before next-to-last rainfall events. Also, the influence of class III rainfall events on NO3 - N concentrations in the ditch was driven mainly by high-frequency, low magnitude, and dry antecedent conditions. Results suggest that during periods with frequent, consecutive rainfall events, the nutrient reduction potential of TWR ditches may be reduced. Data can be used to improve management of TWR ditches with more frequent pumping when possible, to increase retention times, particularly during the spring and late fall periods.
机译:降雨特征可以是影响最佳管理实践能力的主要因素,以减少农业土地的养分损失到接受水资源同样。本研究的目标是研究降雨量如何在美国密西西比州密西西比州的波特河口流域的一个农场中实施的尾翼恢复(TWR)沟中的降雨量。我们使用了一种相关的方法,这些方法与降雨特征(LE。,诸如水采样前的深度,强度,频率,持续时间和前进水文条件等变量的组合)和在沟里测量的NO3-n水平。随后,实施了分层聚类方法以在NO3 - N浓度的上下文中对降雨事件进行分类。结果表明,在沟渠中观察到的NO 3 - N浓度强烈依赖于研究区域内的前进水文条件,特别是在采样前的降雨事件的(1)持续时间和(2)发生的接下来的降雨事件的特征在抽样之前。总降雨量和频率的组合变量显示,降雨类I和III可能对沟渠中的影响最大。 I级降雨事件的影响在NO3 - N水平上似乎在更高的深度,强度,持续时间和下一次降雨事件前更短的时间放大。此外,III类降雨事件对沟渠中NO3 - N浓度的影响主要是由高频,低幅度和干燥的先行条件驱动的。结果表明,在频繁的连续降雨事件期间,TWR沟渠的营养降低电位可能会降低。数据可用于改善TWR沟渠的管理,在可能时更频繁地泵送,以增加保留时间,特别是在春季和晚期秋季期间。

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