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Modelling nutrient pollution in the Danube River Basin: a comparative study of SWAT, MONERIS and GREEN models

机译:多瑙河流域营养物污染模拟:SWAT,MONERIS和GREEN模型的比较研究

摘要

The Water Framework Directive requires the development and implementation of river basin management plans for improving the ecological status of freshwater bodies throughout Europe. The scientific community supports this process by developing decision-support tools for identifying the principal sources of water pollution. Models, however, are imperfect representations of the real world, and are conditioned by structural uncertainty, implicit in the description of biophysical processes, and data uncertainty, as well as in the various restrictions of the environmental data the models were developed. Hence, decision makers must plan management actions on the basis of the best available, however still incomplete, knowledge. The comparison of independent assessments may offer insights that are useful for decision-making, e.g. for identifying knowledge gaps, identifying data uncertainties, consolidating investigation results, and increasing stakeholders’ acceptance. The Danube River is the second largest and most international river of Europe. Its basin covers approximately 803,000 km2 of Central and South-Eastern Europe and is shared by 19 countries. Within the context of fostering scientific collaboration in the Danube region and under the auspices of the International Commission for the Danube River Protection (ICPDR), three independent model (SWAT, MONERIS and GREEN) were compared with the objective of reaching a shared appraisal of nutrient pressures and drivers in the Danube Basin. Annual water discharge (Flow, m3/s) as well as annual loads of total nitrogen (TN, ton/y) and total phosphorus (TP, ton/y) were compared at the outlet of 18 ICPDR regions for the decade 2000-2009. For each region, mean annual values, correlation, standard deviation, and root mean square error of model simulations were analysed. Good water discharge simulations across the basin confirmed that hydrology was correctly represented in all models. The nutrients comparison revealed for some assessment regions the need for a spatially and temporarily intensified monitoring especially for TN. Concerning TP, SWAT and MONERIS had comparable long mean annual TP loads, but differed for amplitude and phases; while GREEN generally overestimated TP loads. Despite differences in model approaches and considered input data, the three assessments were coherent, and all three models may be confidently used for river basin management of the region.
机译:《水框架指令》要求制定和实施流域管理计划,以改善整个欧洲的淡水体的生态状况。科学界通过开发用于确定水污染主要来源的决策支持工具来支持这一过程。然而,模型不是真实世界的完美表示,并且受到结构不确定性的制约,这些不确定性隐含在生物物理过程的描述,数据不确定性以及环境模型的各种限制中。因此,决策者必须根据现有的最佳知识(但仍然不完整)来计划管理措施。独立评估的比较可以提供对决策有用的见解,例如用于识别知识差距,识别数据不确定性,合并调查结果并提高利益相关者的接受度。多瑙河是欧洲第二大也是最具国际性的河流。流域面积约803,000平方公里的中欧和东南欧,共有19个国家共享。在多瑙河地区促进科学合作的背景下,在国际多瑙河保护委员会(ICPDR)的主持下,比较了三种独立模式(SWAT,MONERIS和GREEN),以达到对养分的共同评估的目的。多瑙河流域的压力和驱动力。比较了2000-2009十年间18个ICPDR地区出口处的年排水量(流量,m3 / s)以及年总氮(TN,吨/年)和总磷(TP,吨/年) 。对于每个区域,分析了模型模拟的年平均值,相关性,标准偏差和均方根误差。整个流域良好的排水模拟结果表明,在所有模型中水文学都得到了正确的体现。养分比较显示某些评估区域需要进行空间和临时加强的监测,尤其是对TN。关于TP,SWAT和MONERIS具有相当的长期年均TP负荷,但幅度和相位有所不同。而GREEN通常会高估TP负载。尽管模型方法和考虑的输入数据存在差异,但三个评估是一致的,所有三个模型都可以放心地用于该地区的流域管理。

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