British Geological Survey, Keyworth, Nottingham NG12 5GG, UK.
British Geological Survey, Keyworth, Nottingham NG12 5GG, UK.
Sci Total Environ. 2017 Feb 1;579:133-148. doi: 10.1016/j.scitotenv.2016.10.235. Epub 2016 Nov 13.
Nitrate water pollution, which is mainly caused by agricultural activities, remains an international problem. It can cause serious long-term environmental and human health issues due to nitrate time-lag in the groundwater system. However, the nitrate subsurface legacy issue has rarely been considered in environmental water management. We have developed a simple catchment-scale approach to investigate the impact of historical nitrate loading from agricultural land on the nitrate-concentration trends in sandstones, which represent major aquifers in the Eden Valley, UK. The model developed considers the spatio-temporal nitrate loading, low permeability superficial deposits, dual-porosity unsaturated zones, and nitrate dilution in aquifers. Monte Carlo simulations were undertaken to analyse parameter sensitivity and calibrate the model using observed datasets. Time series of annual average nitrate concentrations from 1925 to 2150 were generated for four aquifer zones in the study area. The results show that the nitrate concentrations in 'St Bees Sandstones', 'silicified Penrith Sandstones', and 'non-silicified Penrith Sandstones' keep rising or stay high before declining to stable levels, whilst that in 'interbedded Brockram Penrith Sandstones' will level off after a slight decrease. This study can help policymakers better understand local nitrate-legacy issues. It also provides a framework for informing the long-term impact and timescale of different scenarios introduced to deliver water-quality compliance. This model requires relatively modest parameterisation and is readily transferable to other areas.
硝酸盐水污染主要由农业活动造成,仍然是一个国际问题。由于地下水系统中硝酸盐的滞后作用,它可能会导致严重的长期环境和人类健康问题。然而,在环境水资源管理中,硝酸盐的地下遗留问题很少被考虑。我们开发了一种简单的集水区尺度方法,用于研究来自农业用地的历史硝酸盐负荷对英国伊登谷砂岩中硝酸盐浓度趋势的影响,砂岩是该地区主要的含水层。所开发的模型考虑了时空硝酸盐负荷、低渗透性表土沉积物、双孔隙非饱和带以及含水层中硝酸盐的稀释作用。通过蒙特卡罗模拟分析了参数敏感性,并使用观测数据集对模型进行了校准。为研究区域的四个含水层区生成了从 1925 年到 2150 年的年度平均硝酸盐浓度时间序列。结果表明,'圣比斯砂岩'、'硅化彭里斯砂岩'和'非硅化彭里斯砂岩'中的硝酸盐浓度在下降到稳定水平之前一直保持上升或处于高位,而'交错彭里斯砂岩'中的硝酸盐浓度在略有下降后将趋于平稳。本研究有助于政策制定者更好地了解当地的硝酸盐遗留问题。它还为告知水质合规性引入的不同情景的长期影响和时间尺度提供了框架。该模型需要相对适度的参数化,并且易于推广到其他地区。