首页> 外文期刊>Journal of water and climate change >Modelling present and future Po river interactions with alluvial aquifers (Low Po River Plain, Italy)
【24h】

Modelling present and future Po river interactions with alluvial aquifers (Low Po River Plain, Italy)

机译:模拟当前和未来的波河与冲积含水层的相互作用(意大利低波河平原)

获取原文
获取原文并翻译 | 示例
       

摘要

A modelling study on a multi-layered confined/unconfined alluvial aquifer system was performed to quantify surface water/groundwater interactions. The calibrated groundwater flow model was used to forecast climate change impacts by implementing the results of a downscaled A1B model ensemble for the Po river valley. The modelled area is located in the north-western portion of the Ferrara Province (Northern Italy), along the eastern bank of the Po river. The modelling procedure started with a large scale steady state model followed by a transient flow model for the central portion of the domain, where a telescopic mesh refinement was applied. The calibration performance of both models was satisfactory, in both drought and flooding conditions. Subsequently, forecasted rainfall, evapotranspiration and Po river stage at 2050, were implemented in the calibrated large scale groundwater flow model and their uncertainties discussed. Three scenarios were run on the large scale model: the first simulating mean hydrological conditions and the other two simulating one standard deviation above and below the mean hydrological conditions. The forecasted variations in groundwater/Po river fluxes are relevant, with a general increase of groundwater levels due to local conditions, although there are large uncertainties in the predicted variables.
机译:对多层密闭/无密冲积含水层系统进行了建模研究,以量化地表水/地下水之间的相互作用。通过实施缩小后的Po河谷地区A1B模型集成的结果,使用校准的地下水流模型来预测气候变化影响。建模区域位于费拉拉省(意大利北部)的西北部,沿波河东岸。建模过程从大规模稳态模型开始,然后是域的中心部分的瞬态流动模型,其中应用了伸缩网格细化。在干旱和洪水条件下,两个模型的校准性能均令人满意。随后,在校准的大型地下水流模型中实现了205​​0年的预测降雨,蒸散量和Po河水位,并对不确定性进行了讨论。在大型模型上运行了三种情况:第一种模拟平均水文条件,另外两种模拟平均水文条件上下的一个标准偏差。地下水//河通量的预测变化具有相关性,由于当地条件,地下水位普遍增加,尽管预测变量存在较大不确定性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号