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Modelling historical and current irrigation water demand on the continental scale: Europe

机译:在大陆范围内模拟历史和当前的灌溉水需求:欧洲

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Water abstractions for irrigation purposes are higher than for any otherpan-European water use sector and have a large influence on river runoffregimes. This modelling experiment assesses historic and current irrigationwater demands for different crops in five arc minute spatial resolution forpan-Europe. Two different modelling frameworks have been applied in thisstudy. First, soft-coupling the dynamic vegetation model LPJmL with the landuse model LandSHIFT leads to overestimations of national irrigation waterdemands, which are rather high in the southern Mediterranean countries. Thiscan be explained by unlimited water supply in the model structure and illegalor not gauged water abstractions in the reported data sets. The secondmodelling framework is WaterGAP3, which has an integrated conceptual cropspecific irrigation module. Irrigation water requirements as modelled withWaterGAP3 feature a more realistic representation of pan-European waterwithdrawals. However, in colder humid regions, irrigation water demands areoften underestimated. Additionally, a national database on crop-specificirrigated area and water withdrawal for all 42 countries within pan-Europehas been set up and integrated in both model frameworks.
机译:用于灌溉目的的取水量高于其他任何泛欧用水部门,并且对河流径流状况有很大影响。该模拟实验以欧洲五分钟的空间分辨率评估了不同作物的历史和当前灌溉水需求。本研究应用了两种不同的建模框架。首先,将动态植被模型LPJmL与土地利用模型LandSHIFT进行软耦合会导致对国家灌溉用水需求的高估,而在南部地中海国家,这是相当高的。可以通过模型结构中的无限供水以及所报告的数据集中的违法或未经计量的取水来解释。第二个建模框架是WaterGAP3,它具有集成的概念性特定作物灌溉模块。使用WaterGAP3建模的灌溉水需求以更现实的方式代表了泛欧洲的取水量。但是,在寒冷潮湿的地区,灌溉水的需求经常被低估。此外,还建立了一个泛欧洲范围内所有42个国家的作物专用灌溉面积和取水量的国家数据库,并将其纳入两个模型框架。

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