Suppr超能文献

利用双同位素和贝叶斯同位素混合模型来定义硝酸盐的来源和归宿:澜沧江梯级大坝中的水-硝酸盐管理。

Defining the sources and the fate of nitrate by using dual isotopes and a Bayesian isotope mixing model: Water-nitrate management in cascade dams of Lancang river.

机构信息

College of Geology and Environment, Xi'an University of Science and Technology, Xi'an, Shaanxi 710054, China.

State Key Laboratory of Eco-hydraulics in Northwest Arid Region, Xi'an University of Technology, Xi'an, Shaanxi 710048, China.

出版信息

Sci Total Environ. 2023 Aug 15;886:163995. doi: 10.1016/j.scitotenv.2023.163995. Epub 2023 May 9.

Abstract

A multi-isotopes approach involving the use of stable nitrate isotopes (δN-NO and δO-NO) combined with stable water isotopes (δD-HO and δO-HO) and SIAR model as tracers can help identify the nitrogen source and understand the transformation process in a river-cascade reservoirs system. In this study, we identify the potential impact of the N source in the Lancang River basin, clarified the seasonal variations in the isotope values and estimated the probability distribution and proportional contribution of multi-terminal NO-N sources using Bayesian isotope mixing model. In addition, we investigate the factors that led to the seasonal variations of the stable isotopes and evaluated the relationship between the uncertainty of the contribution ratio of the N sources and isotopic variations in the river-cascade reservoirs system. The NO-N is the main component of DIN (dissolved inorganic nitrogen), accounting for 68.1 % of DIN. The ratios of δN-NO and δO-NO ranged from +4.2 ‰ to +10.3 ‰, and from +5.9 ‰ to +9.3 ‰ in the Lancang River. The δD-HO and δO-HO of the surface waters ranged from -109.47 ‰ to -76.44 ‰, and from -15.13 ‰ to -11.61 ‰, respectively. The SIAR model analysis results show that nitrification of livestock and poultry manure is the main source of NO-N in the upstream natural reach, accounting for 40.2 %. There is little difference between the wet season and the dry season. Nitrification of soil organic nitrogen is the main source of NO-N in the cascade development reach, accounting for 42.3 %. The contribution rate of atmospheric precipitation to nitrate concentration in both sampling periods is low (<5 %). This study provides a useful insight for reservoir water environmental managers to verify cascade development river pollution contributors and to better apply remedial solutions.

摘要

多同位素方法涉及使用稳定的硝酸盐同位素(δN-NO 和 δO-NO)与稳定的水同位素(δD-HO 和 δO-HO)结合 SIAR 模型作为示踪剂,可以帮助识别氮源并了解河流-梯级水库系统中的转化过程。在本研究中,我们确定了澜沧江流域 N 源的潜在影响,阐明了同位素值的季节性变化,并使用贝叶斯同位素混合模型估计了多端 NO-N 源的概率分布和比例贡献。此外,我们研究了导致稳定同位素季节性变化的因素,并评估了氮源贡献比例不确定性与河流-梯级水库系统同位素变化之间的关系。NO-N 是 DIN(溶解无机氮)的主要成分,占 DIN 的 68.1%。澜沧江的 δN-NO 和 δO-NO 比值范围分别为+4.2‰至+10.3‰和+5.9‰至+9.3‰。地表水的 δD-HO 和 δO-HO 范围分别为-109.47‰至-76.44‰和-15.13‰至-11.61‰。SIAR 模型分析结果表明,畜禽粪便硝化作用是上游自然河段 NO-N 的主要来源,占 40.2%。雨季和旱季差异不大。土壤有机氮硝化作用是梯级开发河段 NO-N 的主要来源,占 42.3%。在两个采样期,大气降水对硝酸盐浓度的贡献都较低(<5%)。本研究为水库水环境保护管理者提供了有益的见解,以验证梯级开发河流污染的贡献者,并更好地应用补救措施。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验