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Water and nutrient simulations using the hype model for Sweden vs. the Baltic Sea basin - influence of input-data quality and scale

机译:使用炒作模型对瑞典和波罗的海流域进行水和养分模拟-输入数据质量和规模的影响

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摘要

Water resource management is often based on numerical models, and large-scale models are sometimes used for international strategic agreements. Sometimes the modelled area entails several political entities and river basins. To avoid methodological bias in results, methods and databases should be homogenous across political and geophysical boundaries, but this may involve fewer details and more assumptions. This paper quantifies the uncertainty when the same model code is applied using two different input datasets; a more detailed one for the country of Sweden (S-HYPE) and a more general one for the entire Baltic Sea basin (Balt-HYPE). Results from the two model applications were compared for the Swedish landmass and for two specific Swedish river basins. The results show that both model applications may be useful in providing spatial information of water and nutrients at various scales. For water discharge, most relative errors are <1O% for S-HYPE and <25% for Balt-HYPE. Both applications reproduced the most mean concentration for nitrogen within 25% of the observed mean values, but phosphorus showed a larger scatter. Differences in model set-up were reflected in the simulation of both spatial and temporal dynamics. The most sensitive data were precipitation/temperature, agriculture and model parameter values.
机译:水资源管理通常基于数字模型,而大型模型有时用于国际战略协议。有时,建模区域需要几个政治实体和流域。为避免结果出现方法上的偏见,方法和数据库应在政治和地球物理范围内保持同质,但这可能涉及较少的细节和更多的假设。当使用两个不同的输入数据集应用相同的模型代码时,本文对不确定性进行了量化。瑞典国家(S-HYPE)较为详细,波罗的海整个盆地(Balt-HYPE)较为一般。比较了两种模型应用程序的结果,分别针对了瑞典陆地和两个特定的瑞典流域。结果表明,两种模型应用程序在提供各种规模的水和养分的空间信息方面可能都是有用的。对于排水,S-HYPE的大多数相对误差为<10%,而Balt-HYPE的大多数相对误差为<25%。两种应用都在观察到的平均值的25%范围内再现了氮的最高平均浓度,但磷显示出更大的散布。模型设置的差异反映在时空动力学模拟中。最敏感的数据是降水/温度,农业和模型参数值。

著录项

  • 来源
    《Hydrology research》 |2012年第4期|p.315-329|共15页
  • 作者单位

    Swedish Meteorological and Hydrological Institute (SMHI),Research and Development,60176 Norrkdping,) Sweden;

    Swedish Meteorological and Hydrological Institute (SMHI),Research and Development,60176 Norrkdping,) Sweden;

    Swedish Meteorological and Hydrological Institute (SMHI),Research and Development,60176 Norrkdping,) Sweden;

    Swedish Meteorological and Hydrological Institute (SMHI),Research and Development,60176 Norrkdping,) Sweden;

    Swedish Meteorological and Hydrological Institute (SMHI),Research and Development,60176 Norrkdping,) Sweden;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    evaluation; large-scale; multi-basins; modelling; nutrients; water;

    机译:评估;大规模;多流域;造型;营养素水;

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