Source partitioning using phosphate oxygen isotopes and multiple models in a large catchment

Wang, Ziteng; Tian, Liyan; Zhao, Changqiu; Du, Chenjun; Zhang, Jun; Sun, Fuhong; Tekleab, Teklit Zerizghi; Wei, Rongfei; Fu, Pingqing; Gooddy, Daren C.; Guo, Qingjun. 2023 Source partitioning using phosphate oxygen isotopes and multiple models in a large catchment. Water Research, 244, 120382. https://doi.org/10.1016/j.watres.2023.120382

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Official URL: http://dx.doi.org/10.1016/j.watres.2023.120382

Abstract/Summary

Excessive phosphorus (P) loadings cause major pollution concerns in large catchments. Quantifying the point and nonpoint P sources of large catchments is essential for catchment P management. Although phosphate oxygen isotopes (δ18O(PO4)) can reveal P sources and P cycling in catchments, quantifying multiple P sources in a whole catchment should be a research focus. Therefore, this study aimed to quantitatively identify the proportions of multiple potential end members in a typical large catchment (the Yangtze River Catchment) by combining the phosphate oxygen isotopes, land use type, mixed end-element model, and a Bayesian model. The δ18O(PO4) values of river water varied spatially from 4.9‰ to18.3‰ in the wet season and 6.0‰ to 20.9‰ in the dry season. Minor seasonal differences but obvious spatial changes in δ18O(PO4) values could illustrate how human activity changed the functioning of the system. The results of isotopic mass balance and the Bayesian model confirmed that controlling agricultural P from fertilizers was the key to achieving P emission reduction goals by reducing P inputs. Additionally, the effective rural domestic sewage treatment, development of composting technology, and resource utilization of phosphogypsum waste could also contribute to catchment P control. P sources in catchment ecosystems can be assessed by coupling an isotope approach and multiple-models.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.1016/j.watres.2023.120382
ISSN:	00431354
Additional Keywords:	GroundwaterBGS, Groundwater
Date made live:	23 Nov 2023 13:37 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/536306

Item Type:

Publication - Article

Digital Object Identifier (DOI):

https://doi.org/10.1016/j.watres.2023.120382

ISSN:

00431354

Additional Keywords:

GroundwaterBGS, Groundwater

Date made live:

23 Nov 2023 13:37 +0 (UTC)

URI:

https://nora.nerc.ac.uk/id/eprint/536306