Baillieux A, Campisi D, Jammet N, Bucher S, Hunkeler D
Centre for Hydrogeology & Geothermics (CHYN), University of Neuchatel, Rue Emile Argand 11, CH-2000 Neuchatel, Switzerland.
Centre for Hydrogeology & Geothermics (CHYN), University of Neuchatel, Rue Emile Argand 11, CH-2000 Neuchatel, Switzerland.
J Contam Hydrol. 2014 Nov 15;169:123-131. doi: 10.1016/j.jconhyd.2014.09.002. Epub 2014 Sep 16.
The influence of rivers on the groundwater quality in alluvial aquifers can be twofold: direct and indirect. Rivers can have a direct influence via recharge and an indirect one by controlling the distribution of fine-grained, organic-carbon rich flood deposits that induce reducing conditions. These direct and indirect influences were quantified for a large alluvial aquifer on the Swiss Plateau (50km(2)) in interaction with an Alpine river using nitrate as an example. The hydrochemistry and stable isotope composition of water were characterized using a network of 115 piezometers and pumping stations covering the entire aquifer. Aquifer properties, land use and recharge zones were evaluated as well. This information provided detailed insight into the factors that control the spatial variability of groundwater quality. Three main factors were identified: (1) diffuse agricultural pollution sources; (2) dilution processes resulting from river water infiltrations, revealed by the δ(18)OH2O and δ(2)HH2O contents of groundwater; and (3) denitrification processes, controlled by the spatial variability of flood deposits governed by fluvial depositional processes. It was possible to quantify the dependence of the nitrate concentration on these three factors at any sampling point of the aquifer using an end-member mixing model, where the average nitrate concentration in recharge from the agricultural area was evaluated at 52mg/L, and the nitrate concentration of infiltrating river at approximately 6mg/L. The study shows the importance of considering the indirect and direct impacts of rivers on alluvial aquifers and provides a methodological framework to evaluate aquifer scale water quality patterns.
直接影响和间接影响。河流可通过补给产生直接影响,也可通过控制诱导还原条件的细粒、富含有机碳的洪水沉积物分布产生间接影响。以硝酸盐为例,对瑞士高原一个大型冲积含水层(50平方公里)与一条阿尔卑斯河相互作用时的这些直接和间接影响进行了量化。利用覆盖整个含水层的115个测压管和泵站网络对水的水化学和稳定同位素组成进行了表征。还评估了含水层特性、土地利用和补给区。这些信息详细揭示了控制地下水水质空间变异性的因素。确定了三个主要因素:(1)分散的农业污染源;(2)河水入渗导致的稀释过程,这可通过地下水中δ(18)OH2O和δ(2)HH2O含量揭示;(3)反硝化过程,由河流沉积过程控制的洪水沉积物空间变异性所控制。利用端元混合模型可以量化含水层任何采样点硝酸盐浓度对这三个因素的依赖性,其中农业区补给中的平均硝酸盐浓度评估为52毫克/升,入渗河水的硝酸盐浓度约为6毫克/升。该研究表明考虑河流对冲积含水层的间接和直接影响的重要性,并提供了一个评估含水层尺度水质模式的方法框架。