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灰色水足迹作为弥散型氮污染指标的应用:以西班牙纳瓦拉为例。

Grey water footprint as an indicator for diffuse nitrogen pollution: The case of Navarra, Spain.

机构信息

Institute for Innovation & Sustainable Development in Food Chain (IS-FOOD), Public University of Navarra, Jerónimo de Ayanz Centre, Arrosadia Campus, 31006 Pamplona, Spain.

Center for Environmental Research and Studies (CINEA), National University of the Center of Buenos Aires Province (UNICEN), University Campus, 7000 Tandil, Argentina; National Scientific and Technical Researche Council (CONICET), Rivadavia Av. 1917, C1033AAJ Ciudad Autónoma de Buenos Aires, Argentina.

出版信息

Sci Total Environ. 2020 Jan 1;698:134338. doi: 10.1016/j.scitotenv.2019.134338. Epub 2019 Sep 6.

Abstract

Nitrogen is an essential element for plant growth, while its application and associated pollution is a worldwide concern. Generally, diffuse source pollution and its impacts on ecosystem health are difficult to monitor and regulate. Here we used the grey water footprint (GWF) and water pollution level (WPL) indicators, based on a soil nitrogen balance approach to differentiate between surface and groundwater, in order to better understand and quantify the pressure that nitrogen fertilisation generates on freshwater. For the first time, we compared the results of these indicators with actual nitrogen concentration data in surface and groundwater bodies, showing in both cases a positive significant correlation according to Spearman correlation coefficient. This means that the theoretical WPL results might be valuable to anticipate and identify nitrate pollution in surface and groundwater bodies. However, several factors influence the N-related processes that should be considered, such as natural attenuation. We estimated the agricultural and livestock nitrogen loads delivered to freshwater and the associated GWFs and WPLs at the municipality level in Navarra. Large GWFs are observed in southern Navarra, particularly in intensive agricultural regions such as Ribera Alta-Aragón and Ribera Baja. We estimated that 64% of the GWF related to nitrogen loads came from artificial fertilisers, 16% from manure, 11% from atmospheric deposition and the remaining 9% from biological fixation, seeds and other organic fertilisers. Among the crops, cereals had the largest contribution to the nitrogen-related GWF (54%) followed by vegetables (17%) and fodder (11%).

摘要

氮是植物生长的必需元素,而其应用和相关污染是一个全球性的问题。通常情况下,弥散源污染及其对生态系统健康的影响很难监测和控制。在这里,我们使用基于土壤氮平衡方法的灰色水足迹(GWF)和水污染水平(WPL)指标,对地表水和地下水进行区分,以便更好地理解和量化氮肥对淡水资源造成的压力。这是我们首次将这些指标的结果与地表水和地下水中的实际氮浓度数据进行比较,根据斯皮尔曼相关系数,这两种情况下都呈正显著相关。这意味着理论上的 WPL 结果可能有助于预测和识别地表水和地下水中的硝酸盐污染。然而,有几个因素会影响与氮有关的过程,这些因素都应该被考虑,如自然衰减。我们在纳瓦拉自治区按市镇一级估计了进入淡水的农业和畜牧业氮负荷以及相关的 GWF 和 WPL。在纳瓦拉南部,特别是在里贝拉阿尔塔-阿拉贡和里贝拉巴哈等集约化农业区,观察到较大的 GWF。我们估计,与氮负荷有关的 GWF 中,有 64%来自人工肥料,16%来自粪肥,11%来自大气沉降,其余 9%来自生物固定、种子和其他有机肥料。在作物中,谷类对氮相关 GWF 的贡献最大(54%),其次是蔬菜(17%)和饲料(11%)。

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