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Assessment and modelling of spatial variability of the soil factors potentially affecting groundwater nitrate contamination in two agricultural areas of Molise Region (Southern Italy)

机译:在莫利塞地区(意大利南部)的两个农业区评估潜在影响地下水硝酸盐污染的土壤因素的空间变异性并进行建模

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In this study spatial variability was used to analyze soil factors influencing the occurrence of high nitrate concentrations in agricultural soils in the Molise region of Southern Italy. The proposed methodology applied to two agricultural areas combines measurements of soil nitrate concentrations carried out by a monitoring network of 164 top-soils. A multivariate approach based on multivariate geostatistics and GIS was used to model spatial variability of the soil variables. The maps of each individual soil variable and regionalised factor show the areas of the landscape that might cause nitrate loss from agriculture soils. The results can be used to support sustainable land use planning in order to mitigate soil nitrate leaching.
机译:在这项研究中,空间变异性被用于分析影响意大利南部莫利塞地区农业土壤中高硝酸盐浓度发生的土壤因素。应用于两个农业地区的拟议方法结合了由164种表层土壤的监测网络对土壤硝酸盐浓度的测量。基于多元地统计学和GIS的多元方法用于对土壤变量的空间变异性进行建模。每个土壤变量和区域因子的地图显示了可能导致农业土壤硝酸盐流失的景观区域。结果可用于支持可持续土地利用规划,以减轻土壤硝酸盐的淋洗。

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