基于氮氧同位素技术的黄河上游清水河硝酸盐来源解析

Abstract
Figure/Table
References
Related Citation (15)

Download: PDF (617 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract In order to understand the influence of irrigation on nitrate concentration in surface water, the temporal and spatial distribution characteristics of nitrate and hydrochemical indexes at each sampling point in the Qingshui River during irrigation- and non-irrigation seasons were analyzed to identify the sources of nitrate with Bayesian mixed model (MixSIAR) in this study. The results show that the water body of the Qingshui River was of weakly alkaline and dominated with nitrate that was mainly attributed to domestic sewage, livestock and poultry breeding, and chemical nitrogen sources. The MixSIAR model show that soil organic nitrogen, chemical nitrogen fertilizer, and livestock breeding also contributed greatly to the major nitrate content in irrigation season, accounting for 24.8%, 24.5%, and 22.8%, and the contribution of domestic sewage and atmospheric nitrogen deposition were 14.4% and 13.6%, respectively. In addition, in non-irrigation season, the contribution of domestic sewage, livestock breeding, and soil organic nitrogen were 26.7%, 23.4% and 20.4%, and the contribution of atmospheric nitrogen deposition and chemical nitrogen fertilizer were 16.5% and 12.9%, respectively. Furthermore, in the irrigation season, agricultural irrigation increased the nitrate concentration in surface water, and the application of agricultural nitrogen fertilizers was higher, contributing to the major nitrate content; in the non-irrigation season, the contribution ratio of domestic sewage was higher.

Key words： the Qingshui River nitrate MixSIAR model irrigation season and non-irrigation season spatial distribution

Received: 24 February 2022

PACS:

X522

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	PEI Dong-yan
	XIE Lei
	XU Bin
	HE Fei
	WANG Long-mian
	TANG Deng-yong
	PANG Qing-qing
	ZHU Xiang
	PENG Fu-quan

Cite this article:

PEI Dong-yan,XIE Lei,XU Bin等. Analysis of nitrate sources in the Qingshui River of the Yellow River with nitrogen and oxygen isotope technique[J]. CHINA ENVIRONMENTAL SCIENCECE, 2022, 42(9): 4115-4121.

URL:

http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2022/V42/I9/4115

[1]	Zhao Q L, Feng H Y, Ren Y F, et al. δ15N-NO3- and δ18O-NO3- tracing of nitrate sources in Beijing Urban Rivers [J]. Environmental Science, 2016,37(5):1692-1698.
[2]	Zhang Y, Shi P, Li F D, et a1. Quantification of nitrate sources and fates in rivers in an irrigated agricultural area using environmental isotopes and a Bayesian isotope mixing model [J]. Chemosphere, 2018,208:493-50l.
[3]	Stock B C, Jackson A L, Ward E J, et al. Analyzing mixing systems using a new generation of Bayesian tracer mixing models [J]. PeerJ, 2018,6(4):1-27.
[4]	夏云.基于稳定同位素的海岸带典型河流硝酸盐污染来源解析 [D]. 青岛:青岛大学, 2020. Xia Y. Sources of nitrate pollution in typical coastal rivers based on stable isotopes [D]. Qingdao: Qingdao University, 2020.
[5]	Li J, Zhu D N, Zhang S, et al. Application of the hydrochemistry, stable isotopes and MixSIAR model to identify nitrate sources and transformations in surface water and groundwater of an intensive agricultural karst wetland in Guilin, China [J]. Ecotoxicology and Environmental Safety, 2022,231:1-11.
[6]	Terres-Martínez J A, Mora A, Mahlknecht J, et al. Estimation of nitrate pollution sources and transformations in groundwater of an intensive livestock-agricultural area (Comarca Lagunera), combining major ions, stable isotopes and MixSIAR model [J]. Environment Pollution, 2020,269:1-12.
[7]	Merchán D, Sanz L, Alfaro A, et al. Irrigation implementation promotes increases in salinity and nitrate concentration in the lower reaches of the Cidacos River (Navarre, Spain) [J]. Science of the Total Environment, 2020,706:1-42.
[8]	孟祥仪.基于WASP模型的宁夏清水河水质预警研究 [D]. 西安:长安大学, 2017. Meng X Y. Water quality early warning of Qingshui River in Ningxia based on WASP model [D]. Xi¢an: Chang’an University, 2017.
[9]	Cao J P, Chi D C, Wu L Q, et al. Application of Mann-Kendall test in precipitation trend analysis [J]. Agricultural Science & Technology and Equipment, 2008,179(5):35-37,40.
[10]	王世强,赵增锋,邱小琮,等.清水河干流水质空间分布特征及季节性变化 [J]. 西南农业学报, 2021,34(2):386-391. Wang S Q, Zhao Z F, Qiu X Z, et al. Spatial-temporal characteristics of water environmental quality in mainstream of Qingshui River [J]. Southwest China Journal of Agricultural Sciences, 2021,34(2):386-391.
[11]	Mcilvin M R, Altabet M A, Chem A. Chemical conversion of nitrate and nitrite to nitrous oxide for nitrogen and oxygen isotopic analysis in freshwater and seawater [J]. Analytical Chemistry, 2005,77(17):5589-5595.
[12]	胡王江.极地海域硝酸盐的氮、氧同位素组成 [D]. 厦门:厦门大学, 2015. Hu W J. Nitrogen and oxygen isotopic composition of nitrates in polar seas [D]. Xiamen: Xiamen University, 2015.
[13]	Wang X, Cao Y C, Han Y, et al. Determination of nitrogen and oxygen isotope ratio of nitrate in water by chemical transformation method [J]. Acta Pedologica Sinica, 2015,52(3):558-566.
[14]	Parnell A C, Inger R, Bearhop S, et al. Source partitioning using stable isotopes: coping with too much variation [J]. PLoS ONE, 2010,5(3): 1-5.
[15]	Michener R H, Lajtha K. Stable isotopes in ecology and environmental science [M]. New Jersey:Blackwell Publishing, 2007:375-449.
[16]	金赞芳,岑佳蓉,胡宇铭,等.千岛湖水体氮的垂向分布特征及来源解析 [J]. 中国环境科学, 2019,39(8):3441-3449. Jin Z F, Cen J R, Hu Y M, et al. The vertical distribution of nitrogen and the nitrogen sources in Qiandao Lake [J]. China Environmental Science, 2019,39(8):3441-3449.
[17]	傅雪梅,孙源媛,苏婧,等.基于水化学和氮氧双同位素的地下水硝酸盐源解析 [J]. 中国环境科学, 2019,39(9):3951-3958. Fu X M, Sun Y Y, Su J, et al. Source of nitrate in groundwater based on hydrochemical and dual stable isotopes [J]. China Environmental Science, 2019,39(9):3951-3958.
[18]	金赞芳,胡晶,吴爱静,等.基于多同位素的不同土地利用区域水体硝酸盐源解析 [J]. 环境科学, 2021,42(4):1696-1705. Jin Z F, Hu J, Wu A J, et al. Identify the nitrate sources in different land use areas based on multiple isotopes [J]. Environmental Science, 2021,42(4):1696-1705.
[19]	Yue F J, Li S L, Liu C Q, et al. Tracing nitrate sources with dual isotopes and long term monitoring of nitrogen species in the Yellow River, China [J]. Scientific Reports, 2017,7(1):1-11.
[20]	Jin Z F, Zheng Q, Zhu C Y, et al. Contribution of nitrate sources in surface water in multiple land use areas by combining isotopes and a Bayesian isotope mixing model [J]. Applied Geochemistry, 2018,93:10-19.
[21]	殷超,杨海全,陈敬安.基于水化学和氮氧同位素的贵州草海丰水期水体硝酸盐来源辨析 [J]. 湖泊科学, 2020,32(4):989-998. Yin C, Yang H Q, Chen J G, et al. Identification of nitrate sources based on hydrochemistry and nitrogen and oxygen isotopes in Caohai, Guizhou during high water season [J]. Journal of Lake Sciences, 2020,32(4):989-998.
[22]	李林霞,李艳利,杨梓睿,等.沁河上游硝酸盐的定量源解析及其季节性差异 [J]. 环境科学研究, 2021,34(11):2636-2644. Li L X, Li Y L, Yang Z R, et al. Quantitative analysis and seasonal differences of nitrate sources in upper reaches of Qin River [J]. Research of Environmental Sciences, 2021,34(11):2636-2644.
[23]	纪晓亮,舒烈琳,陈铮,等.楠溪江硝态氮来源定量识别及其不确定性分析 [J]. 中国环境科学, 2021,41(8):3784-3791. Ji X L, Shu L L, Chen Z, et al. Quantitative identification of riverine nitrate sources and uncertainty analysis in the Nanxi River [J]. China Environment Science, 2021,41(8):3784-3791.
[24]	雷兴碧.清水河流域水环境功能分区研究 [D]. 银川:宁夏大学, 2020. Lei X B. Study on water environmental function zoning of Qingshui River basin [D]. Yinchuan: Ningxia University, 2020.
[25]	Zhang Y, Shi P, Li F D, et al. Quantification of nitrate sources and fates in rivers in an irrigated agricultural area using environmental isotopes and a Bayesian isotope mixing model [J]. Chemosphere, 2018,208:493-501.
[26]	吴娜娜,钱虹,李亚峰,等.多种同位素追踪水体硝酸盐污染来源 [J]. 沈阳大学学报(自然科学版), 2017,29(2):103-106. Wu N N, Qian H, Li Y F, et al. Multiple isotopes trace the source of nitrate pollution in water [J]. Journal of Shenyang University (Natural Science), 2017,29(2):103-106.
[27]	孙小淇.武进区地表水水质分布特征及其氮污染来源解析研究 [D]. 上海:华东理工大学, 2020. Sun X Q. Investigations on distribution of water quality and sources tracing of nitrogen pollution in Wujin District surface water [D]. Shanghai: East China University of Science and Technology, 2020.
[28]	Xu S G, Kang P P, Sun Y. A stable isotope approach and its application for identifying nitrate source and transformation processing water [J]. Environmental Science and Pollution Research, 2016,23(2):1133-1148.
[29]	Kendall C, McDonnell J J. Isotope tracers in catchment hydrology [M]. Amsterdam:Elsevier Science, 1998:519-576.
[30]	安丹.岩溶洞穴硝酸盐来源识别及定量估算研究——以贵州绥阳麻黄洞为例 [D]. 贵阳:贵州师范大学, 2021. An D. Source identification and quantitative estimation of nitrate in Karst Caves: A case study in Mahuang Cave of Suiyang County, Guizhou Province [D]. Guiyang: Guizhou Normal University, 2021.
[31]	Böttcher J, Strebel O, Voerkelius S, et al. Using isotope fractionation of nitrate-nitrogen and nitrate-oxygen for evaluation of microbial denitriﬁcation in sandy aquifer [J]. Hydrology, 1990,114(3/4):413-424.
[32]	Kendall C. Tracing sources and cycling of nitrate in catchments// Kendall C, Mcdonnell J J. Isotope tracers in catchment hydrology [M]. Amsterdam:Elsevier Science, 1998:519-576.
[33]	Xue D M, Jorin B, Bernard D B, et al. Present limitations and future prospects of stable isotope methods for nitrate source identification in surface and groundwater [J]. Water Research, 2009,43(5):1159-1170.
[34]	Reinhardt M, Müller B, Gächter R, et al. Nitrogen removal in a small constructed wetland: an isotope mass balance approach [J]. Environmental Science & Technology, 2006,40(10):3313-3319.
[35]	Yue F J, Liu C Q, Li S L, et al. Analysis of δ15N and δ18O to identify nitrate sources and transformations in Songhua River, Northeast China [J]. Journal of Hydrology, 2014,519:329-339.
[36]	王诗绘,马玉坤,沈珍瑶.氮氧稳定同位素技术用于水体中硝酸盐污染来源解析方面的研究进展 [J]. 北京师范大学学报(自然科学版), 2021,57(1):36-42. Wang S H, Ma Y K, Shen Z Y. Identification of nitrate source in receiving water with dual NO3- isotopes (δ15N and δ18O) [J]. Journal of Beijing Normal University (Natural Science), 2021,57(1):36-42.
[37]	何志润.宁夏清水河流域氟化物(F-)的分布特征及其影响因素研究 [D]. 银川:宁夏大学, 2020. He Z R. Study on the distribution characteristics and influencing factors of fluoride (F-) in Qingshui River basin of Ningxia [D]. Yingchuan: Ningxia University, 2020.
[38]	Zhang Y, Zhang Q Y, Li F D, et al. Source identification of nitrate contamination of ground water in Yellow River Irrigation Districts using stable isotopes and Bayesian model [J]. Chinese Journal of Eco—Agriculture, 2019,27(3):484-493.
[39]	巨晓棠,谷保静.我国农田氮肥施用现状、问题及趋势 [J]. 植物营养与肥料学报, 2014,20(4):783-795. Ju X T, Gu B J. Current situation and trend of nitrogen fertilizer application in China [J]. Journal of Plant Nutrition and Fertilizer, 2014,20(4):783-795.