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Water and nutrient balances in a large tile-drained agricultural catchment: A distributed modeling study

机译:大型瓷砖排水农业流域的水和养分平衡:分布式模型研究

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This paper presents the development and implementation of a distributed model of coupled water nutrient processes, based on the representative elementary watershed (REW) approach, to the Upper Sangamon River Basin, a large, tile-drained agricultural basin located in central Illinois, mid-west of USA. Comparison of model predictions with the observed hydrological and biogeochemical data, as well as regional estimates from literature studies, shows that the model is capable of capturing the dynamics of water, sediment and nutrient cycles reasonably well. The model is then used as a tool to gain insights into the physical and chemical processes underlying the inter- and intra-annual variability of water and nutrient balances. Model predictions show that about 80% of annual runoff is contributed by tile drainage, while the remainder comes from surface runoff (mainly saturation excess flow) and subsurface runoff. It is also found that, at the annual scale nitrogen storage in the soil is depleted during wet years, and is supplemented during dry years. This carryover of nitrogen storage from dry year to wet year is mainly caused by the lateral loading of nitrate. Phosphorus storage, on the other hand, is not affected much by wet/dry conditions simply because the leaching of it is very minor compared to the other mechanisms taking phosphorous out of the basin, such as crop harvest. The analysis then turned to the movement of nitrate with runoff. Model results suggested that nitrate loading from hillslope into the channel is preferentially carried by tile drainage. Once in the stream it is then subject to in-stream denitrification, the significant spatio-temporal variability of which can be related to the variation of the hydrologic and hydraulic conditions across the river network.
机译:本文介绍了基于代表性基本集水区(REW)方法的水养分耦合过程分布式模型的开发和实施,该模型位于上伊格诺伊州中部的大型瓦格排水农业盆地上加蒙河流域美国西部。将模型预测与观测到的水文和生物地球化学数据以及文献研究的区域估计值进行比较,表明该模型能够较好地捕获水,沉积物和养分循环的动态。然后将该模型用作一种工具,以了解水和养分平衡的年际和年际变化背后的物理和化学过程。模型预测表明,每年的径流中约有80%是由瓷砖排水引起的,其余部分来自地表径流(主要是饱和过剩水)和地下径流。还发现,在每年的规模上,土壤中的氮存储在湿润的时期会减少,而在干旱的时期会增加。从干旱年份到潮湿年份的氮存储结转主要是由硝酸盐的侧向负荷引起的。另一方面,磷的存储不受湿/干条件的影响很大,这仅仅是因为与其他将磷从盆地中带出的机制(例如农作物收获)相比,磷的浸出非常少。然后分析转向硝酸盐随径流的运动。模型结果表明,从山坡入河道的硝酸盐负荷优先通过瓷砖排水来承担。一旦进入河中,然后进行河中反硝化处理,其显着的时空变化可能与整个河网中水文和水力条件的变化有关。

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