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Regional monitoring of temporal changes in groundwater quality

机译:区域监测地下水水质的时间变化

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Changes in agricultural practices are expected to affect groundwater quality by changing the loads of nutrients and salts in recharging groundwater, but regional monitoring networks installed to register the changes often fail to detect them and interpretation of trend analysis results is difficult. This study aims to improve the detection and understanding of groundwater quality changes with time, combining time series information, concentration-depth profiles, age dating and concentration-depth prognoses based on the historical inputs of solutes. For trend detection, a combination of trend analysis on time series at specific depths and time-averaged concentration-depth profiles was used. To reveal trends that have become obscured by chemical reactions, additional conditionally conservative indicators were introduced that are insensitive to those reactions under specific conditions. Detected trends were matched with prognoses of conservative and reactive transport to aid the understanding of trends. Data of the regional networks in 2 area-types with intensive livestock farming in the Dutch province of Noord-Brabant were used to illustrate the approach. The downward movement of the agricultural pollution front was demonstrated for the 2 area-types. However, many targeted contaminants have become retarded or delayed and quality changes were hard to detect for many reactive solutes, including nitrate. Pollution fronts of these targeted chemical components are still limited to the first 15 m of the subsoil. At deeper level, about 20-25 m, the effects of agricultural pollution and acidification were indicated by chemical indicators that have not been considered by others: oxidation capacity, the sum of cations and chloride. Increasing trends of the conditionally conservative indicators 'oxidation capacity' and 'sum of cations' were found at a depth of 18-25 m below surface. Increasing trends for potassium were found at shallower depth (7-13 m), which is explained by retardation of potassium due to cation-exchange with calcium and magnesium. The modelled cation-exchange explained the shape of the concentration-depth profile and the increasing trends at shallow depth in the aquifer. (C) 2004 Elsevier B.V. All rights reserved.
机译:预计农业做法的变化会通过改变补给地下水中的养分和盐分的负荷来影响地下水质量,但是为记录变化而安装的区域监测网络通常无法检测到变化,并且趋势分析结果的解释也很困难。这项研究旨在根据溶质的历史输入,结合时间序列信息,浓度深度剖面,年龄定年和浓度深度预测,以改进对地下水质量随时间变化的检测和理解。对于趋势检测,结合了对特定深度的时间序列的趋势分析和时间平均浓度-深度曲线的组合。为了揭示已被化学反应掩盖的趋势,引入了附加的条件保守指标,这些指标在特定条件下对那些反应不敏感。检测到的趋势与保守和反应性运输的预后相匹配,以帮助理解趋势。该方法使用了荷兰诺德-布拉班特省的两种集约化畜牧集约化区域类型的区域网络数据。两种区域类型的农业污染前沿均呈下降趋势。但是,许多目标污染物已被阻滞或延迟,并且对于许多活性溶质(包括硝酸盐)而言,很难检测到质量变化。这些目标化学成分的污染前沿仍限于地下15m。在更深的水平(约20-25 m),农业污染和酸化的影响由其他指标未曾考虑的化学指标指示:氧化能力,阳离子和氯化物的总和。在地表以下18-25 m的深度发现了条件保守指标“氧化能力”和“阳离子总和”的增加趋势。在更浅的深度(7-13 m)发现钾的增加趋势,这可以解释为由于阳离子与钙和镁的交换导致钾的阻滞。建模的阳离子交换解释了浓度-深度剖面的形状以及含水层中浅深度的增加趋势。 (C)2004 Elsevier B.V.保留所有权利。

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