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Using dual stable isotopes method for nitrate sources identification in Cao-E River Basin, Eastern China
Excess nitrate (NO 3 − ) of water is a worldwide environmental problem. Therefore, identifying the sources and analyzing respective contribution rates are of great importance for improving water quality. The current study was carried out to identify the potential sources of NO 3 − pollution in Cao-E...
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Published in: | Frontiers in environmental science 2023-06, Vol.11 |
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Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | Excess nitrate (NO
3
−
) of water is a worldwide environmental problem. Therefore, identifying the sources and analyzing respective contribution rates are of great importance for improving water quality. The current study was carried out to identify the potential sources of NO
3
−
pollution in Cao-E River basin, in Eastern China. Surface water samples were collected during the dry season and wet season. Multiple hydrochemical indices, dual NO
3
−
isotopes (δ
15
N–NO
3
−
and δ
18
O–NO
3
−
) and a Bayesian model (stable isotope analysis in R, MixSIAR) were applied to identify NO
3
−
sources and estimate the proportional contributions of multiple NO
3
−
sources. During the sampling period, nitrification was a dominant nitrogen transformation process in the study area. The results of the NO
3
−
isotopes suggested that manure and sewage (M&S), soil nitrogen (SN) and nitrogen fertilizer (NF) were the major contributors to NO
3
−
. Moreover, the results obtained from the MixSIAR model showed that the proportional contributions of atmospheric deposition (AD), NF, M&S and SN to NO
3
−
were 2.82, 15.45, 44.25, 37.47% and 3.14, 23.39, 31.78, 41.69% in the dry and wet season, respectively. This study provided evidence to further understand the sources, transport, and transformation of N in Cao-E River basin, which deepens the understanding of the management of N contaminant. |
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ISSN: | 2296-665X 2296-665X |
DOI: | 10.3389/fenvs.2023.1200481 |