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首页> 外文期刊>River research and applications >Dynamics of wet-season turbidity in relation to precipitation, discharge, and land cover in three urbanizing watersheds, Oregon
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Dynamics of wet-season turbidity in relation to precipitation, discharge, and land cover in three urbanizing watersheds, Oregon

机译:俄勒冈州三个城市化流域的湿季浊度与降水,流量和土地覆盖的关系

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摘要

Frequent intense precipitation events can mobilize and carry sediment and pollutants into rivers, degrading water quality. However, how seasonal rainfall and land cover affect the complex relationship between discharge and turbidity in urban watersheds is still under investigation. Using hourly discharge, rainfall, and turbidity data collected from six stations in three adjacent watersheds between 2008 and 2017, we examined the temporal variability of the discharge-turbidity relationship along an urban-rural gradient. We quantified hysteresis between normalized discharge and turbidity by a hysteresis index and classified hysteresis loops during 377 storm events in early, mid, and late wet season. Hysteresis loop index and direction varied by site land cover type and season. Turbidity values peaked quicker in the watersheds with higher degrees of urban development than in a less urbanized watershed. The positive relation between discharge and turbidity was highest in two downstream stations in the mid wet season, whereas it was highest in two upstream stations in the early wet season. Correlation and regression analysis showed that maximum turbidity was best explained by discharge range, and the sensitivity of turbidity to discharge change was higher in the larger downstream watershed than in the small upstream watersheds. A flashiness index was negatively associated with the slope of turbidity versus discharge, suggesting that turbidity is difficult to predict solely on the basis of discharge in flashy urban streams. This paper contributes to a deeper understanding of the spatial and temporal variation of discharge-concentration relationship in urbanizing watersheds, which can help water managers increase the resiliency of water-related ecosystem services to impacts of climate change.
机译:频繁的强降水事件会动员并将泥沙和污染物带入河流,从而降低水质。然而,仍在研究季节性降雨和土地覆盖如何影响城市流域流量与浊度之间的复杂关系。利用2008年至2017年期间从三个相邻流域的六个站点收集的每小时排放量,降雨量和浊度数据,我们研究了沿城市-农村梯度的排放量-浊度关系的时间变化性。我们通过迟滞指数对归一化排放量和浊度之间的迟滞进行了量化,并对湿季早期,中期和后期的377次风暴事件中的滞后回线进行分类。磁滞回线指数和方向随站点土地覆盖类型和季节而变化。与城市化程度较低的流域相比,城市发展程度较高的流域的浊度峰值更快。雨季中期,两个下游站的排放与浊度之间的正相关性最高,而雨季初期,两个上游站的排放与浊度的正相关性最高。相关性和回归分析表明,最大浊度最好用流量范围来解释,并且浊度对流量变化的敏感性在较大的下游流域比在较小的上游流域要高。浮游指数与浊度与流量的斜率呈负相关,这表明仅根据浮华城市河流的流量很难预测浊度。本文有助于加深对城市化集水区排放量-浓度关系的时空变化的了解,这有助于水管理者提高与水相关的生态系统服务对气候变化影响的适应性。

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