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A dual isotopic framework for identifying nitrate sources in surface runoff in a small agricultural watershed, northeast China.

Authors :
Sui, Yuanyuan
Ou, Yang
Yan, Baixing
Rousseau, Alain N.
Fang, Yunting
Geng, Runzhe
Wang, Lixia
Ye, Nan
Source :
Journal of Cleaner Production. Feb2020, Vol. 246, pN.PAG-N.PAG. 1p.
Publication Year :
2020

Abstract

The northeast black soil region of China, an important area of grain production, currently faces serious diffuse pollution issues. In this study, a dual isotopic (δ15N and δ18O) framework was used to determine nitrate sources in runoff of a small agricultural watershed of this region. The results indicated that the ranges of δ15N and δ18O values of NO 3 -sources were significantly affected by natural geographic features and human activities. Nitrate in cropland runoff was mainly derived from soil, fertilizer and precipitation. Meanwhile, natural inputs, including those of soil and precipitation, represented the main nitrate sources in forest runoff. Domestic sewage, manure and precipitation contributed to most of the nitrate in runoff from villages. In addition, based on runoff export from different land uses and results from a stable isotope mixing model, soil and chemical fertilizer were identified as the main NO 3 -source in the whole watershed; suggesting that soil erosion could lead to serious diffuse pollution in the study area. Over all, this study not only provided suggestions to the optimal selection of Best Management Practices (BMPs) in Northeast China, but also could contribute to the identification and quantification of NO 3 -sources in agricultural watersheds of the black soil regions worldwide. Image 1024 • Five nitrate sources were identified in surface runoff using a dual isotopic framework. • Nitrate isotopic signatures of surface runoff were significantly different among three land use. • Both natural and anthropogenic sources contributed to nitrate pollution. • Soil and fertilizer were identified as the main nitrate source in the whole watershed. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09596526
Volume :
246
Database :
Academic Search Index
Journal :
Journal of Cleaner Production
Publication Type :
Academic Journal
Accession number :
140937081
Full Text :
https://doi.org/10.1016/j.jclepro.2019.119074