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Investigating the impact of conceptual model uncertainty and diverging climate change scenarios on groundwater nitrate concentration predictions

机译:调查概念模型不确定性和分歧气候变化场景对地下水硝酸盐浓度预测的影响

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At the European scale, nitrate concentration is the most important parameter that determines groundwater quality. Since in most cases nitrate input into the aquifer is a non-point source pollution problem, measures to reduce nitrate leaching have to be designed on the aquifer scale. In this context we have coupled the unsaturated, vertical soil water and nitrogen transport model S1MWASER/STOTRASIM with the saturated groundwater flow and transport model FEFLOW in a sequential manner to simulate groundwater nitrate concentrations for the Westliches Leibnitzer Feld aquifer (45 km~2) in southeast Austria. However, in Austria, information about the crops grown is only available as percentages on an aggregated level of cadastral municipalities. Thus, from a conceptual point of view, delineation of the spatial distributions of groundwater recharge and nitrogen leaching time series from arable land are highly uncertain. Within this work, three different approaches consisting of increasing spatial and crop differentiation are employed to investigate the impact on groundwater nitrate concentrations: (ⅰ) grain maize production for the entire model area, (ⅱ) one crop rotation per cadastral municipality, and (ⅲ) a stochastic procedure that accounts for the unknown crop grown and applied nitrogen fertilizer amount on each particular lot. Furthermore, the influence of four climate change projections on groundwater, where the predicted temperature and precipitation time series have been statistically downscaled, is investigated. Different combinations of soil water and nitrate leachates are processed as input distributions to saturated groundwater flow and transport modelling. In terms of mean nitrate leaching concentrations, the prediction uncertainty due to the different approaches of spatial and crop differentiation is significantly larger than that due to climate projections. It is shown that even the two climate projections yielding maximum and minimum groundwater recharge and nitrogen leaching do not meaningfully alter the resulting groundwater nitrate concentrations in general. However, at certain locations mean groundwater nitrate concentrations changes are of the order of 20% until 2100.
机译:在欧洲范围内,硝酸盐含量是决定地下水水质的最重要参数。由于在大多数情况硝酸盐输入到含水层是一种非点源污染的问题,措施,以减少硝酸盐浸出必须被设计上的含水层的规模。在这方面,我们已耦合的不饱和的,垂直土壤水和氮气传输模型S1MWASER / STOTRASIM在以模拟地下水硝酸盐浓度为Westliches Leibnitzer费尔德含水层的饱和地下水流和传输模型FEFLOW以顺序的方式(45公里〜2)东南奥地利。然而,在奥地利,有关作物生长信息,仅作为地籍直辖市的聚集水平的百分比。因此,从概念的角度来看,地下水补给和氮的空间分布从耕地浸出时间序列描绘高度不确定。在这项工作,包括提高空间和作物分化的三种不同的方法被用来调查对地下水硝酸盐含量的影响:(ⅰ)谷物玉米产量为整个示范区,(ⅱ)每地籍直辖市的一个轮作,和(ⅲ ),其占未知作物生长和施加氮肥量在每个特定批次一个随机过程。此外,对地下水,其中预测的气温和降水的时间序列已缩小的统计四项与气候变化预测的影响,进行了研究。土壤水分和硝酸渗滤液的不同组合被处理为输入分布到饱和地下水流和传输建模。在平均硝酸盐浸出浓度计,由于不同的预测的不确定性的空间接近和作物分化比由于气候突起显著大。结果表明,即使在两个气候预测产生的最大和最小地下水补给和氮淋不有意义改变一般导致地下水的硝酸盐浓度。然而,在某些位置平均地下水硝酸盐浓度的变化是20%,直到2100的量级。

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