University of Vienna, Department of Economics, Hohenstaufengasse 9, 1010 Vienna, Austria.
J Environ Manage. 2012 Nov 30;111(3):178-86. doi: 10.1016/j.jenvman.2012.06.030. Epub 2012 Aug 18.
Identifying significant determinants of groundwater nitrate contamination is critical in order to define sensible agri-environmental indicators that support the design, enforcement, and monitoring of regulatory policies. We use data from approximately 1200 Austrian municipalities to provide a detailed statistical analysis of (1) the factors influencing groundwater nitrate contamination and (2) the predictive capacity of the Gross Nitrogen Balance, one of the most commonly used agri-environmental indicators. We find that the percentage of cropland in a given region correlates positively with nitrate concentration in groundwater. Additionally, environmental characteristics such as temperature and precipitation are important co-factors. Higher average temperatures result in lower nitrate contamination of groundwater, possibly due to increased evapotranspiration. Higher average precipitation dilutes nitrates in the soil, further reducing groundwater nitrate concentration. Finally, we assess whether the Gross Nitrogen Balance is a valid predictor of groundwater nitrate contamination. Our regression analysis reveals that the Gross Nitrogen Balance is a statistically significant predictor for nitrate contamination. We also show that its predictive power can be improved if we account for average regional precipitation. The Gross Nitrogen Balance predicts nitrate contamination in groundwater more precisely in regions with higher average precipitation.
确定地下水硝酸盐污染的重要决定因素对于定义支持监管政策的设计、执行和监测的合理农业环境指标至关重要。我们使用来自奥地利大约 1200 个市镇的数据,对(1)影响地下水硝酸盐污染的因素和(2)最常用的农业环境指标之一——总氮平衡的预测能力进行了详细的统计分析。我们发现,给定区域的耕地比例与地下水中的硝酸盐浓度呈正相关。此外,温度和降水等环境特征是重要的共同因素。较高的平均温度会导致地下水硝酸盐污染减少,这可能是由于蒸散作用增加所致。较高的平均降水会使土壤中的硝酸盐稀释,进一步降低地下水中的硝酸盐浓度。最后,我们评估了总氮平衡是否是地下水硝酸盐污染的有效预测指标。我们的回归分析表明,总氮平衡是硝酸盐污染的一个具有统计学意义的预测因子。我们还表明,如果考虑到区域平均降水,其预测能力可以得到提高。在平均降水较高的地区,总氮平衡对地下水硝酸盐污染的预测更为准确。