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Long term nitrogen budget modelling in a small agricultural watershed: hydrological control assessment of nitrogen losses with semi-distributed (SWAT) and distributed (TNT2) models

机译:在一个小型农业流域中进行长期氮预算建模:使用半分布式(SWAT)和分布式(TNT2)模型对氮损失进行水文控制评估

摘要

Nitrogen exports in catchments are known to be greatly variable because nitrogen cycle in watershed is controlled by different factors such as landuse, farm management practices, climate, soil type and hydrological setting. Our aim is to study the relative importance of the processes controlling nitrogen losses at catchment scale in the long term using a modelling approach constrained by a long term record of observations. The study area is a catchment of 330 ha with 95 % of intensive agriculture in a hilly shallow soil context, in the south west of France. Historical field rotation and nitrogen river load data have been collected for a 20 year period. Two process-based and spatially distributed models have been chosen to simulate nitrogen transfer and transformation in the whole catchment. The first one is the fully distributed TNT2 model, developed and validated in a different context (farming systems in north-western France). The second one is the widely used, semi-distributed SWAT model, used and recognizedto be realistic in many studies on nitrogen transfer in river. This comparative modelling approach was used to evaluate the effect of different modelling approaches on the identification of controlling factors, and the ability of both models to simulate alternative scenarios. The discharge, especially during storm flow, is well simulated by the curve number approach and the semi-distributed hydrological parameter description used SWAT, while the Topmodel-derived approach used in TNT2 tends to underestimate some peak discharges. Nitrogen dynamic simulations are considered to be acceptable for both models for a long time period but the use of both models allows to exhibit their respective capacity and limits. TNT2 has higher potentiality to test the impact of complex agricultural scenarios because the description of management practices and the simulation of crops to management options is more detailed. It permits the assessment of spatial interactions and focussed spatial management, like the set up of grass or tree strips. SWAT can then be used to scale up change scenarios from TNT2 small catchment results to large catchments.
机译:流域的氮素出口变化很大,因为流域中的氮素循环受土地利用,农场管理实践,气候,土壤类型和水文环境等不同因素控制。我们的目标是使用受长期观测记录约束的建模方法,从长期角度研究流域规模的氮损失控制过程的相对重要性。该研究区位于法国西南部一个丘陵浅土环境中,流域面积为330公顷,集约农业占95%。已经收集了20年的历史田间轮换和氮河负荷数据。选择了两个基于过程的空间分布模型来模拟整个集水区的氮转移和转化。第一个是完全分布式的TNT2模型,该模型是在不同的环境下开发和验证的(法国西北部的农业系统)。第二个模型是广泛使用的半分布式SWAT模型,在许多关于河流氮素转移的研究中使用并被认为是现实的。这种比较建模方法用于评估不同建模方法对控制因素识别的影响,以及两种模型模拟替代方案的能力。流量,特别是在暴风雨期间的流量,可以通过曲线数法和使用SWAT的半分布式水文参数描述很好地模拟,而TNT2中使用的Topmodel推导方法往往会低估一些峰值流量。长期以来,这两种模型都可以接受氮气动态模拟,但是两种模型的使用都可以展现它们各自的容量和极限。 TNT2具有更高的潜力来测试复杂农业情景的影响,因为对管理实践的描述以及根据管理选项对作物进行的模拟更加详细。它允许评估空间相互作用和集中的空间管理,例如草或树带的设置。然后,SWAT可以用于将变更方案从TNT2小流域的结果扩大到大流域。

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