Nitrate source apportionment using a combined dual isotope, chemical and bacterial property, and Bayesian model approach in river systems
Xia, YQ; Li, YF; Zhang, XY; Yan, XY
2017
Source PublicationJOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
ISSN2169-8953
Volume122Issue:1Pages:2-14
AbstractNitrate (NO3-) pollution is a serious problem worldwide, particularly in countries with intensive agricultural and population activities. Previous studies have used N-15-NO3- and O-18-NO3- to determine the NO3- sources in rivers. However, this approach is subject to substantial uncertainties and limitations because of the numerous NO3- sources, the wide isotopic ranges, and the existing isotopic fractionations. In this study, we outline a combined procedure for improving the determination of NO3- sources in a paddy agriculture-urban gradient watershed in eastern China. First, the main sources of NO3- in the Qinhuai River were examined by the dual-isotope biplot approach, in which we narrowed the isotope ranges using site-specific isotopic results. Next, the bacterial groups and chemical properties of the river water were analyzed to verify these sources. Finally, we introduced a Bayesian model to apportion the spatiotemporal variations of the NO3- sources. Denitrification was first incorporated into the Bayesian model because denitrification plays an important role in the nitrogen pathway. The results showed that fertilizer contributed large amounts of NO3- to the surface water in traditional agricultural regions, whereas manure effluents were the dominant NO3- source in intensified agricultural regions, especially during the wet seasons. Sewage effluents were important in all three land uses and exhibited great differences between the dry season and the wet season. This combined analysis quantitatively delineates the proportion of NO3- sources from paddy agriculture to urban river water for both dry and wet seasons and incorporates isotopic fractionation and uncertainties in the source compositions.
SubtypeJournal
Keywordstable isotopes denitrification spatial and temporal variations quantification
Subject AreaEnvironmental Sciences & Ecology ; Geology
WOS Subject ExtendedEnvironmental Sciences ; Geosciences, Multidisciplinary
WOS KeywordNITROUS-OXIDE EMISSIONS ; TAIHU LAKE REGION ; LAND-USE ; STABLE-ISOTOPES ; SURFACE-WATER ; RIPARIAN ZONE ; MIXING MODEL ; GROUND-WATER ; FRESH-WATER ; DENITRIFICATION
Indexed BySCI
Language英语
WOS IDWOS:000394944400001
PublisherAMER GEOPHYSICAL UNION
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/44129
Collection生态系统网络观测与模拟院重点实验室_生态网络实验室
Recommended Citation
GB/T 7714
Xia, YQ,Li, YF,Zhang, XY,et al. Nitrate source apportionment using a combined dual isotope, chemical and bacterial property, and Bayesian model approach in river systems[J]. JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES,2017,122(1):2-14.
APA Xia, YQ,Li, YF,Zhang, XY,&Yan, XY.(2017).Nitrate source apportionment using a combined dual isotope, chemical and bacterial property, and Bayesian model approach in river systems.JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES,122(1),2-14.
MLA Xia, YQ,et al."Nitrate source apportionment using a combined dual isotope, chemical and bacterial property, and Bayesian model approach in river systems".JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES 122.1(2017):2-14.
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