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A catchment-scale method to simulating the impact of historical nitrate loading from agricultural land on the nitrate-concentration trends in the sandstone aquifers in the Eden Valley, UK

机译:模拟农田土地历史硝酸盐负荷对英国伊甸园谷砂岩含水层硝酸盐浓度趋势的影响的流域规模方法

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摘要

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.
机译:主要由农业活动引起的硝酸盐水污染仍然是一个国际问题。由于硝酸盐在地下水系统中的滞后性,可能导致严重的长期环境和人类健康问题。但是,硝酸盐地下遗留问题很少在环境水管理中考虑。我们已经开发出一种简单的流域规模方法,以研究农田中历史硝酸盐负荷对砂岩中硝酸盐浓度趋势的影响,砂岩是英国伊甸谷的主要含水层。建立的模型考虑了时空硝酸盐负荷,低渗透性浅层沉积物,双重孔隙不饱和带和含水层中硝酸盐稀释度。进行了蒙特卡洛模拟,以分析参数敏感性并使用观察到的数据集校准模型。研究区域的四个含水层带产生了从1925年到2150年的年平均硝酸盐浓度的时间序列。结果表明,“ St Bees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至稳定水平之前保持上升或保持较高水平,而“层状布罗克兰彭里斯砂岩”中的硝酸盐浓度将保持水平。略有下降后关闭。这项研究可以帮助决策者更好地了解当地的硝酸盐遗留问题。它还提供了一个框架,用于告知为实现水质合规而引入的不同方案的长期影响和时间表。该模型需要相对适度的参数设置,并且可以轻松转移到其他区域。

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    Wang Lei; Burke Sean P.;

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  • 年度 2017
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