2017
DOI: 10.1021/acs.est.6b06278
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Tracking Nitrogen Sources, Transformation, and Transport at a Basin Scale with Complex Plain River Networks

Abstract: This research developed an innovative approach to reveal nitrogen sources, transformation, and transport in large and complex river networks in the Taihu Lake basin using measurement of dual stable isotopes of nitrate. The spatial patterns of δN corresponded to the urbanization level, and the nitrogen cycle was associated with the hydrological regime at the basin level. During the high flow season of summer, nonpoint sources from fertilizer/soils and atmospheric deposition constituted the highest proportion of… Show more

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Cited by 120 publications
(55 citation statements)
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“…With respect to land-use, NO 3 À and NH 4 þ concentrations were significantly (p < 0.001) higher in tributaries dominated by residential and agricultural land use than those dominated by forests ( Fig. 3c), which is consistent with previous studies in eastern and northern China (Sun et al, 2013;Yi et al, 2017). There were no significant differences (p > 0.05) in NO 3 À concentrations among seasons in the mainstem; however, NH 4 þ concentrations were lower (p < 0.05) in summer (Fig.…”
Section: Resultssupporting
confidence: 91%
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“…With respect to land-use, NO 3 À and NH 4 þ concentrations were significantly (p < 0.001) higher in tributaries dominated by residential and agricultural land use than those dominated by forests ( Fig. 3c), which is consistent with previous studies in eastern and northern China (Sun et al, 2013;Yi et al, 2017). There were no significant differences (p > 0.05) in NO 3 À concentrations among seasons in the mainstem; however, NH 4 þ concentrations were lower (p < 0.05) in summer (Fig.…”
Section: Resultssupporting
confidence: 91%
“…6d). These results are similar to previous studies and emphasize human impacts on N dynamics (Xia et al, 2017;Yi et al, 2017). Greater than 80% of river water (including mainstem and tributaries) d 18 O values for NO 3 À ( Fig.…”
Section: N Cycling Process Identification Using No 3 à Stable Isotopessupporting
confidence: 91%
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