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COMPREHENSIVE ANALYSIS OF HYDROLOGIC PROCESSES AND NITRATE CONCENTRATIONS AT THE WATERSHED SCALE BASED ON CONTINUOUS MONITORING DATA

机译:基于连续监测数据的流域规模的水文过程和硝酸盐浓度的综合分析

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Mitigation of flood related damages and improvements to stream water quality require a thorough understanding of the relation between hydrologic processes and stream nutrient concentrations. Recent advances in technology allow for collection of high frequency data that can shed light on the interactions between surface water, groundwater, and water quality. In this study we analyzed nutrient concentrations, precipitation, soil water content, discharge, and groundwater levels collected every 15 minutes in the Otter Creek (122 km~2) a watershed in the State of Iowa, USA. We focused on the timing of different processes that occur at the watershed scale, from the onset of precipitation and early soil moisture changes, to production of runoff that leads to subsequent peak discharge and nutrient concentration. We propose a methodology based on time series slope thresholds that has the potential to enhance flood preparedness in areas prone to flash floods. Stream nutrient concentration trends were correlated with land cover, subsurface drainage, and LIDAR data. Measured data are also being used to calibrate a physically-based watershed model and numerical results from this model are presented in a companion paper entitled "Quantitative assessment of flood damage reduction projects through physically-based watershed models".
机译:对流水质的洪水缓解和改善需要彻底了解水文过程与流营养浓度之间的关系。技术的最新进展允许收集高频数据,可以阐明表面水,地下水和水质之间的相互作用。在本研究中,我们分析了美国爱荷华州的水獭溪(122 km〜2)中每15分钟收集的营养浓度,降水,土壤含水量,放电和地下水位。我们专注于在流域规模处发生的不同进程的时序,从降水和早期土壤水分的发生变化,以产生径流,导致随后的峰值放电和营养浓度。我们提出了一种基于时间序列斜率阈值的方法,这些斜率阈值具有促进易于闪现洪水的区域的洪水准备。流营养浓度趋势与陆地覆盖,地下排水和激光雷达数据相关。测量数据也被用于校准基于物理的流域模型,并且来自该模型的数值结果在题为“通过基于物理的流域模型的洪水损伤减少项目的定量评估”的伴文纸上。

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