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首页> 外文期刊>Journal of Environmental Management >Spatial and statistical assessment of factors influencing nitrate contamination in groundwater
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Spatial and statistical assessment of factors influencing nitrate contamination in groundwater

机译:地下水中硝酸盐污染影响因素的空间和统计评估

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The weights of evidence (WofE) modeling technique has been used to analyze both natural and anthropogenic factors influencing the occurrence of high nitrate concentrations in groundwater resources located in the central part of the Po Plain (Northern Italy). The proposed methodology applied in the Lodi District combines measurements of nitrate concentrations, carried out by means of a monitoring net of 69 wells, with spatial data representing both categorical and numerical variables. These variables describe either potential sources of nitrate and the relative ease with which it may migrate towards groundwater. They include population density, nitrogen fertilizer loading, groundwater recharge, soil protective capacity, vadose zone permeability, groundwater depth, and saturated zone permeability. Once conditional dependence problems among factors have been solved and validation tests performed, the statistical approach has highlighted negative and positive correlations between geoenvironmental factors and nitrate concentration in groundwater. These results have been achieved analysing the calculated statistical parameters (weights, contrasts, normalized contrasts) of each class by which each factor has been previously subdivided. This has permitted to outline: the overall influence each factor has on the presence/ absence of nitrate; the range of their values mostly influencing this presence/absence; the most and least critical combination of factor classes existing in each specific zone; areas where the influence of impacting factor classes is reduced by the presence of not impacting factor classes. This last aspect could represent an important support for a correct land use management to preserve groundwater quality.
机译:证据权重(WofE)建模技术已用于分析自然因素和人为因素,这些因素影响位于波普平原(意大利北部)中部地下水资源中高硝酸盐浓度的发生。在Lodi区采用的拟议方法将硝酸盐浓度的测量(通过69口井的监测网)与代表分类变量和数值变量的空间数据相结合。这些变量描述了硝酸盐的潜在来源及其向地下水迁移的相对难易程度。它们包括人口密度,氮肥负荷,地下水补给,土壤保护能力,渗流带渗透性,地下水深度和饱和带渗透性。一旦解决了因素之间的条件依赖性问题并进行了验证测试,该统计方法便可以突显出地质环境因素与地下水中硝酸盐浓度之间的负相关和正相关。通过分析每个类别的计算统计参数(权重,对比度,归一化对比度),可以将这些结果预先细分,从而获得这些结果。这可以概述:每个因素对硝酸盐存在与否的总体影响;其值的范围主要影响这种存在/不存在;每个特定区域中存在的因素类别的最关键和最不关键的组合;通过不存在影响因素类别来降低影响因素类别的影响的区域。最后一个方面可能表示对正确的土地使用管理以保持地下水水质的重要支持。

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