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Monitoring stream sediment loads in response to agriculture in Prince Edward Island, Canada

机译:监测加拿大爱德华王子岛的流域泥沙负荷以响应农业

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Increased agricultural land use leads to accelerated erosion and deposition of fine sediment in surface water. Monitoring of suspended sediment yields has proven challenging due to the spatial and temporal variability of sediment loading. Reliable sediment yield calculations depend on accurate monitoring of these highly episodic sediment loading events. This study aims to quantify precipitation-induced loading of suspended sediments on Prince Edward Island, Canada. Turbidity is considered to be a reasonably accurate proxy for suspended sediment data. In this study, turbidity was used to monitor suspended sediment concentration (SSC) and was measured for 2 years (December 2012-2014) in three subwatersheds with varying degrees of agricultural land use ranging from 10 to 69 %. Comparison of three turbidity meter calibration methods, two using suspended streambed sediment and one using automated sampling during rainfall events, revealed that the use of SSC samples constructed from streambed sediment was not an accurate replacement for water column sampling during rainfall events for calibration. Different particle size distributions in the three rivers produced significant impacts on the calibration methods demonstrating the need for river-specific calibration. Rainfall-induced sediment loading was significantly greater in the most agriculturally impacted site only when the load per rainfall event was corrected for runoff volume (total flow minus baseflow), flow increase intensity (the slope between the start of a runoff event and the peak of the hydrograph), and season. Monitoring turbidity, in combination with sediment modeling, may offer the best option for management purposes.
机译:农业土地利用的增加导致地表水中的细小沉积物加速侵蚀和沉积。由于泥沙负荷的时空变化,监测悬浮泥沙的产量已证明具有挑战性。可靠的泥沙产量计算取决于对这些高度间歇性泥沙装载事件的准确监控。这项研究的目的是对加拿大爱德华王子岛岛上由降水引起的悬浮沉积物的负荷进行量化。浊度被认为是悬浮泥沙数据的合理准确替代。在本研究中,浊度用于监测悬浮沉积物浓度(SSC),并在三个子流域进行了为期2年(2012年12月至2014年)的测量,农业用地的不同程度介于10%至69%之间。比较三种浊度计校准方法,两种方法在降雨事件中使用悬浮的河床沉积物,而另一种方法在降雨事件中使用自动采样,表明使用由河床沉积物构建的SSC样品不能准确替代降雨事件中的水柱采样进行校准。三条河流中不同的粒径分布对标定方法产生了重大影响,表明需要特定于河流的标定。仅当对每个降雨事件的负荷进行了径流量(总流量减去基本流量),流量增加强度(径流事件开始与峰值之间的斜率)进行校正后,在受农业影响最大的地点,降雨引起的沉积物负荷才显着增加。水文图)和季节。监测浊度,结合沉积物模拟,可能为管理目的提供最佳选择。

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