Xue Dongmei, Botte Jorin, De Baets Bernard, Accoe Frederik, Nestler Angelika, Taylor Philip, Van Cleemput Oswald, Berglund Michael, Boeckx Pascal
Laboratory of Applied Physical Chemistry-ISOFYS, Faculty of Bioscience Engineering, Ghent University, Coupure links 653, 9000 Ghent, Belgium.
Water Res. 2009 Mar;43(5):1159-70. doi: 10.1016/j.watres.2008.12.048. Epub 2009 Jan 6.
Nitrate (NO3(-)) contamination of surface- and groundwater is an environmental problem in many regions of the world with intensive agriculture and high population densities. Knowledge of the sources of NO3(-) contamination in water is important for better management of water quality. Stable nitrogen (delta15N) and oxygen (delta18O) isotope data of NO3(-) have been frequently used to identify NO3(-) sources in water. This review summarizes typical delta15N- and delta18O-NO3(-) ranges of known NO3(-) sources, interprets constraints and future outlooks to quantify NO3(-) sources, and describes three analytical techniques ("ion-exchange method", "bacterial denitrification method", and "cadmium reduction method") for delta15N- and delta18)O-NO3(-) determination. Isotopic data can provide evidence for the presence of dominant NO3(-) sources. However, quantification, including uncertainty assessment, is lacking when multiple NO3(-) sources are present. Moreover, fractionation processes are often ignored, but may largely constrain the accuracy of NO3(-) source identification. These problems can be overcome if (1) NO3(-) isotopic data are combined with co-migrating discriminators of NO3(-) sources (e.g. (11)B), which are not affected by transformation processes, (2) contributions of different NO3(-) sources can be quantified via linear mixing models (e.g. SIAR), and (3) precise, accurate and high throughput isotope analytical techniques become available.
在世界上许多农业集约化和人口密度高的地区,地表水和地下水的硝酸盐(NO3(-))污染是一个环境问题。了解水中NO3(-)污染的来源对于更好地管理水质很重要。NO3(-)的稳定氮(δ15N)和氧(δ18O)同位素数据经常用于识别水中的NO3(-)来源。本文综述总结了已知NO3(-)来源的典型δ15N-和δ18O-NO3(-)范围,解释了量化NO3(-)来源的限制和未来展望,并描述了三种用于测定δ15N-和δ18O-NO3(-)的分析技术(“离子交换法”、“细菌反硝化法”和“镉还原法”)。同位素数据可以为主要NO3(-)来源的存在提供证据。然而,当存在多个NO3(-)来源时,缺乏包括不确定性评估在内的量化。此外,分馏过程常常被忽视,但可能在很大程度上限制NO3(-)来源识别的准确性。如果(1)将NO3(-)同位素数据与不受转化过程影响的NO3(-)来源共迁移鉴别器(例如11B)相结合,(2)可以通过线性混合模型(例如SIAR)量化不同NO3(-)来源的贡献,以及(3)有精确、准确和高通量的同位素分析技术,这些问题是可以克服的。