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对法国西南部加龙河一个面积达60000平方公里的欧洲流域的河流水体硝酸盐动态进行建模。

Modeling the stream water nitrate dynamics in a 60,000-km2 European catchment, the Garonne, southwest France.

作者信息

Tisseuil Clément, Wade Andrew J, Tudesque Loïc, Lek Sovan

机构信息

Laboratoire Evolution et Diversité Biologique (EDB) UMR 5174, CNRS- Université Paul Sabatier, 118 route de Narbonne, 31062 Toulouse cedex 4- France.

出版信息

J Environ Qual. 2008 Oct 23;37(6):2155-69. doi: 10.2134/jeq2007.0507. Print 2008 Nov-Dec.

Abstract

The spatial and temporal dynamics in the stream water NO(3)-N concentrations in a major European river-system, the Garonne (62,700 km(2)), are described and related to variations in climate, land management, and effluent point-sources using multivariate statistics. Building on this, the Hydrologiska Byråns Vattenbalansavdelning (HBV) rainfall-runoff model and the Integrated Catchment Model of Nitrogen (INCA-N) are applied to simulate the observed flow and N dynamics. This is done to help us to understand which factors and processes control the flow and N dynamics in different climate zones and to assess the relative inputs from diffuse and point sources across the catchment. This is the first application of the linked HBV and INCA-N models to a major European river system commensurate with the largest basins to be managed under the Water Framework Directive. The simulations suggest that in the lowlands, seasonal patterns in the stream water NO(3)-N concentrations emerge and are dominated by diffuse agricultural inputs, with an estimated 75% of the river load in the lowlands derived from arable farming. The results confirm earlier European catchment studies. Namely, current semi-distributed catchment-scale dynamic models, which integrate variations in land cover, climate, and a simple representation of the terrestrial and in-stream N cycle, are able to simulate seasonal NO(3)-N patterns at large spatial (>300 km(2)) and temporal (> or = monthly) scales using available national datasets.

摘要

利用多元统计方法,描述了欧洲主要河流系统加龙河(面积62,700平方公里)河流水体中硝态氮(NO(3)-N)浓度的时空动态变化,并将其与气候、土地管理及污水排放点源的变化相关联。在此基础上,应用瑞典国家水文气象研究所(Hydrologiska Byråns Vattenbalansavdelning,HBV)降雨径流模型和氮素综合流域模型(Integrated Catchment Model of Nitrogen,INCA-N)来模拟观测到的水流和氮动态变化。这样做有助于我们了解哪些因素和过程控制着不同气候区的水流和氮动态,并评估整个流域面源和点源的相对输入量。这是首次将相互关联的HBV和INCA-N模型应用于欧洲一个与《水框架指令》管理的最大流域相当的主要河流系统。模拟结果表明,在低地地区,河流水体中硝态氮(NO(3)-N)浓度呈现季节性模式,且主要受农业面源输入的影响,据估计低地河流负荷的75%来自耕地农业。研究结果证实了欧洲早期流域研究的结论。也就是说,当前的半分布式流域尺度动态模型,结合了土地覆盖变化、气候以及陆地和河流氮循环的简单表示,能够利用现有的国家数据集在大空间尺度(>300平方公里)和时间尺度(>或 = 月)上模拟季节性硝态氮(NO(3)-N)模式。

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