楠溪江硝态氮来源定量识别及其不确定性分析

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Abstract Accurate identification of nitrate sources is the key step for effectively mitigate riverine nitrate pollution. In this study, the Nanxi River watershed located in Wenzhou city was selected as the research area. Hydrochemical analysis and nitrogen and oxygen stable isotopes in nitrate were used to identify spatio-temporal variation, migration and transformation, and pollution sources of nitrate. Then, combining the stable isotope analysis in R (SIAR) model to quantitatively identify the contributions for different pollution sources. On this basis, the probabilistic method was employed to analyze the uncertainty of modelling results. Nitrate was the main form of nitrogen in this study area; there existed significant spatio-temporal variation of riverine nitrate content, temporally, the nitrate concentration in wet season was higher than that in dry season, spatially, the nitrate concentration in tributary was higher than that in main stream. Microbial nitrification was the primary nitrogen transformation process within the Nanxi River watershed, chemical nitrogen, soil organic nitrogen and manure and sewage were the main contributors of nitrate to the river; SIAR modeling revealed that the contributions of atmospheric deposition, chemical nitrogen, soil organic nitrogen, and manure and sewage were 3.0%~12.9%, 25.5%~32.7%, 28.7%~36.2%, and 24.7%~37.5%, respectively, in the dry season, and 2.5%~14.3%, 28.5%~40.0%, 28.8%~39.7%, and 18.9%~29.9%, respectively, in the wet season. The uncertainty analysis demonstrated that uncertainties existed in some extent during nitrate source identification, the uncertainty for different sources followed:soil organic nitrogen > chemical nitrogen > manure and sewage > atmospheric deposition.

Key words： Nanxi River stable isotope nitrate pollution pollution source identification uncertainty analysis

Received: 24 December 2020

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X522

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	Articles by authors
	JI Xiao-liang
	SHU Lie-lin
	CHEN Zheng
	MEI Kun
	XU Feng-ran
	Baiyinbaoligao
	MENDES Ana
	ZHANG Ming-hua
	SHANG Xu

Cite this article:

JI Xiao-liang,SHU Lie-lin,CHEN Zheng等. Quantitative identification of riverine nitrate sources and uncertainty analysis in the Nanxi River[J]. CHINA ENVIRONMENTAL SCIENCECE, 2021, 41(8): 3784-3791.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2021/V41/I8/3784

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