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Multiple Time-Scale Monitoring to Address Dynamic Seasonality and Storm Pulses of Stream Water Quality in Mountainous Watersheds

机译:多时标监测以解决山区流域溪流水质的动态季节性和风暴脉冲

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Rainfall variability and extreme events can amplify the seasonality and storm pulses of stream water chemistry in mountainous watersheds under monsoon climates. To establish a monitoring program optimized for identifying potential risks to stream water quality arising from rainfall variability and extremes, we examined water chemistry data collected on different timescales. At a small forested watershed, bi-weekly sampling lasted over two years, in comparison to three other biweekly sampling sites. In addition, high-frequency continuous measurements of pH, electrical conductivity, and turbidity were conducted in tandem with automatic water sampling at 2 h intervals during eight rainfall events. Biweekly monitoring showed that during the summer monsoon period, electrical conductivity (EC), dissolved oxygen (DO), and dissolved ion concentrations generally decreased, but total suspended solids (TSS) slightly increased. A noticeable variation from the usual seasonal pattern was that DO levels substantially decreased during an extended drought. Bi-hourly storm event samplings exhibited large changes in the concentrations of TSS and particulate and dissolved organic carbon (POC; DOC) during intense rainfall events. However, extreme fluctuations in sediment export during discharge peaks could be detected only by turbidity measurements at 5 min intervals. Concomitant measurements during rainfall events established empirical relationships between turbidity and TSS or POC. These results suggest that routine monitoring based on weekly to monthly sampling is valid only in addressing general seasonal patterns or long-lasting phenomena such as drought effects. We propose an “adaptive” monitoring scheme that combines routine monitoring for general seasonal patterns and high-frequency instrumental measurements of water quality components exhibiting rapid responses pulsing during intense rainfall events.
机译:降雨的多变性和极端事件会加剧季风气候下山区流域的溪流水化学反应的季节性和风暴脉冲。为了建立优化的监测程序,以识别由于降雨变化和极端情况而引起的水质潜在风险,我们检查了在不同时间尺度上收集到的水化学数据。与其他三个双周抽样地点相比,在一个小森林流域,双周抽样持续了两年。此外,在八次降雨事件中,以2小时的间隔自动对水进行自动连续高频采样,连续测量pH值,电导率和浊度。双周监测显示,在夏季风季期间,电导率(EC),溶解氧(DO)和溶解离子浓度通常降低,但总悬浮固体(TSS)略有增加。与通常的季节性模式相比,一个明显的变化是在长期干旱期间溶解氧水平大大降低。在暴雨事件期间,每两小时一次的暴风雨事件采样显示TSS浓度以及颗粒和溶解有机碳(POC; DOC)的变化很大。但是,只有通过以5分钟为间隔进行浊度测量,才能检测出排放峰值期间沉积物出口的剧烈波动。降雨事件期间的伴随测量建立了浊度与TSS或POC之间的经验关系。这些结果表明,基于每周到每月采样的常规监视仅在解决一般的季节性模式或长期现象(如干旱影响)时有效。我们提出了一种“自适应”监测方案,该方案将常规的常规季节监测和高频仪器测量的水质成分结合起来,在强降雨事件中表现出快速的响应脉动。

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