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首页> 外文期刊>Catena: An Interdisciplinary Journal of Soil Science Hydrology-Geomorphology Focusing on Geoecology and Landscape Evolution >Modelling inter- and intra-annual variation of riverine nitrogen/nitrate losses from snowmelt-affected basins under agricultural and mixed land use captured with high-frequency monitoring
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Modelling inter- and intra-annual variation of riverine nitrogen/nitrate losses from snowmelt-affected basins under agricultural and mixed land use captured with high-frequency monitoring

机译:利用高频监测捕获的农业和混合土地利用雪地氮/硝酸盐损失的河流氮/硝酸盐损失的间歇性和硝酸盐损失的模拟

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摘要

We applied a process-based nutrient loading model (VEMALA v.3) into two cold region watersheds and evaluated the simulations against daily observations of nitrate-nitrogen (NO3-N) concentrations and fluxes over a five-year period. The high-frequency NO3 center dot N and water level data revealed fine temporal changes of NO3 center dot N losses from agricultural and mixed land-use catchments and enabled the detection of processes to be further developed in the model. The NO3-N loads were simulated satisfactorily in the agricultural headwater catchment, as the percent bias (PBIAS) was annually within +/- 27%.The results showed that the annual NO3-N loads were better simulated (PBIAS = +/- 16%) at the larger scale catchment despite the input data for the model being less detailed. Intra-annually, the simulated NO3-N concentrations and loads during snowmelt and autumn were mainly underestimated in both sites. By contrast, the summer baseflow concentrations and fluxes were overestimated by the model. The seasonal biases in the simulation of snowmelt, excess nitrogen flushing events, autumn rain related fluxes and baseflow periods partly compensate each other at the annual scale. Thus, the net result for a 5-year simulation was that simulated NO3-N loads were only - 11% lower than observed. The results suggest that processes influencing autumnal and snowmelt-initiated NO3 center dot N flushing as well as the summertime in-stream mineral nitrogen uptake are potential key issues to be developed in the future. In addition, we highlight temporal similarities and differences in the observed NO3-N losses from the agricultural and mixed land-use catchments.
机译:我们将基于过程的营养加载模型(Vemala V.3)应用于两个寒冷地区流域,并在为期五年期间评估了每日观察硝酸盐 - 氮(NO3-N)浓度和助熔剂的模拟。高频No3中心点N和水位数据显示了农业和混合土地利用集水区的NO3中心点N损失的微观时间变化,并使得能够检测在模型中进一步开发的过程。在农业地带集水区中令人满意地模拟NO3-N负载,因为偏差百分比(PBIAs)在+/- 27%内。结果表明,年度NO3-N负载更好地模拟(PBIAS& = + / - 较大刻度集水区的16%,尽管模型的输入数据不太详细。每年内,在两个位点主要低估了雪花和秋季的模拟的NO3-N浓度和负载。相比之下,夏季基流浓度和助熔剂被模型高估。季节性偏见在雪花的模拟中,过量的氮气冲洗事件,秋季雨量相关助核和基流期部分地在年度级别互相补偿。因此,5年仿真的净结果是模拟的NO3-N负载仅为-11%,低于观察到。结果表明,影响秋季和雪花发起的NO3中心点N冲洗的流程以及夏季矿物氮吸收的概率是未来发展的潜在关键问题。此外,我们突出了来自农业和混合土地利用集水区的观察到的No3-N损失的时间相似性和差异。

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