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Groundwater vulnerability in Europe under climate change

机译:气候变化下欧洲地下水脆弱性

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摘要

The present contribution aimed to propose a method to determine the groundwater vulnerability to climate change at spatial scale of Europe. This approach combines the aquifers geology, terrain morphology, and quality monitoring status of Nitrate (NO3) and Arsenic (As) with the environmental data of climate and land cover to generate the groundwater vulnerability map of Europe. High-resolution climate models and land cover were the basis of the groundwater models construction in different temporal windows periods. Geographical Information Systems (GIS) technology was used for multi-layers analysis, groundwater vulnerability calculation, and model validation. Intense agriculture in many regions contributes to increase of chemicals concentration in groundwater. By the 'New Implemented Spatial-Temporal On Regions-Groundwater Vulnerability' (NISTOR-GWV) Index, a complex methodology was applied including the quantity (water availability, potential infiltration map) and quality (aquifers data, land cover, quality monitoring points) approaches layers. Crosscovariance Cloud, General QQPlot, and double pixel pairs moving window (DPPMW) methods were used to calibrate and validate the construction model of NISTOR-GWV Index. The areas with high and very high groundwater vulnerability classes spread in the central and northwestern side of Europe, South of British Islands, agricultural areas and large plains territories (North European Plain, Po Plain, Romanian Plain), while in the mountains and hilly areas, the medium, low and very low vulnerability was identified. Significant improvement in the spatial groundwater vulnerability modelling could be achieved, on long-term period at continental scale, with contribution for management strategies and plans in hydrology and environmental fields.
机译:目前旨在提出一种方法来确定欧洲空间规模的地下水脆弱性对气候变化的地下水变化。这种方法将含水层地质,地形形态,硝酸盐(NO3)和砷(AS)的质量监测状态结合在于气候和陆地覆盖的环境数据,以产生欧洲地下水漏洞地图。高分辨率气候模型和陆地覆盖是地下水模型建设在不同的时间窗口时期的基础。地理信息系统(GIS)技术用于多层分分析,地下水漏洞计算和模型验证。许多地区的强烈农业有助于地下水中的化学品浓度的增加。通过'地区地下水漏洞'(NISTOR-GWV)指数的“新的实施空间 - 时间”,应用了复杂的方法,包括数量(水可用性,潜在渗透图)和质量(含水层数据,陆地覆盖,质量监测点)接近层。横转云,通用QQplot和双像素对移动窗口(DPPMW)方法用于校准并验证Nistor-GWV指数的施工模型。具有高和非常高的地下水脆弱性等级的地区,在欧洲中央和西北地区,英国岛屿,农业区和大型平原地区(北欧平原,罗马尼亚平原),而在山区和丘陵地区,鉴定了培养基,低和非常低的脆弱性。在大陆规模的长期期间,可以实现空间地下水脆弱性建模的显着改善,为水文和环境领域的管理策略和计划提供贡献。

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