Validation of the InVEST nutrient retention model across Europe with attribution of model errors

IF 4.6 2区 环境科学与生态学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Danny A.P. Hooftman , Guy Ziv , Paul M. Evans , James M. Bullock
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引用次数: 0

Abstract

Intensive fertilisation of farmland leads to substantial nutrient escape into the environment, polluting land, water, and the atmosphere. We used the InVEST NDR model to investigate nitrogen (N) and phosphorus (P) run-off and retention across the European continent at 25 × 25 m resolution, and validated outputs against empirical measurements at 2251 river locations. Mean nutrient retention across Europe was estimated as 93 % for N and 92 % for P, through accumulation by standing vegetation and the soil. Modelled nutrient export to streams matched well to empirical measurements. Model-based uncertainties were related to seasonality, the balance between surface and sub-surface flows, and extremes in slope and rainfall. Uncertainties related to empirical data suggested enhancements to monitoring programmes that would improve nutrient export and erosion modelling, which included higher resolution fertiliser and manure data, differentiation of grassland types, including stocking density categories, and in-river nutrient measurements at low flow.
整个欧洲的InVEST营养保留模型的验证与模型错误的归因
农田的密集施肥导致大量养分逃逸到环境中,污染土地、水和大气。我们使用InVEST NDR模型在25 × 25 m分辨率下研究了整个欧洲大陆的氮(N)和磷(P)径流和滞留,并根据2251条河流位置的经验测量结果验证了结果。通过直立植被和土壤的积累,整个欧洲的平均养分保留估计为氮的93%和磷的92%。模拟的营养物向河流的输出与经验测量结果吻合良好。基于模式的不确定性与季节性、地表和次地表流量之间的平衡以及坡度和降雨量的极值有关。与经验数据有关的不确定性建议加强监测方案,以改善养分输出和侵蚀模型,其中包括更高分辨率的肥料和粪肥数据、草地类型的区分,包括放养密度类别,以及低流量时的河内养分测量。
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来源期刊
Environmental Modelling & Software
Environmental Modelling & Software 工程技术-工程:环境
CiteScore
9.30
自引率
8.20%
发文量
241
审稿时长
60 days
期刊介绍: Environmental Modelling & Software publishes contributions, in the form of research articles, reviews and short communications, on recent advances in environmental modelling and/or software. The aim is to improve our capacity to represent, understand, predict or manage the behaviour of environmental systems at all practical scales, and to communicate those improvements to a wide scientific and professional audience.
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