Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

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

Ziteng Wang, Liyan Tian, Changqiu Zhao, Chenjun Du, Jun Zhang, Fuhong Sun, Teklit Zerizghi, Rongfei Wei, Pingqing Fu, Daren C. Gooddy, Qingjun Guo

Water Research · 2023

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Summary

This 2023 study employed phosphate oxygen isotope signatures and multiple independent models to distinguish and quantify phosphorus sources in a large catchment system. The integration of isotopic tracers with hydrological and geochemical modelling represents a methodological advance for source partitioning in complex water systems where agricultural, point-source, and natural contributions must be disentangled. The research contributes to understanding phosphorus cycling and contamination pathways at the catchment scale.

UK applicability

The methodology may be applicable to UK catchment studies dealing with agricultural phosphorus runoff and point-source pollution, particularly in contexts where Water Framework Directive compliance requires source identification. However, isotopic baseline values and hydrological regimes differ between UK and large continental catchments, requiring local calibration.

Key measures

Phosphate oxygen isotope ratios (δ18O-PO₄), source apportionment percentages across point sources (sewage, industrial) and diffuse sources (agricultural, weathering)

Outcomes reported

The study applied phosphate oxygen isotope analysis combined with multiple modelling approaches to partition phosphorus sources (point and diffuse) in a large catchment. The research quantified the relative contributions of different phosphorus sources to water bodies as suggested by isotopic and hydrological modelling evidence.

Theme
Measurement & metrics
Subject
Measurement methods & nutrient profiling
Study type
Research
Study design
Field study with isotopic analysis and multi-model approach
Source type
Peer-reviewed study
Status
Published
Geography
China
System type
Mixed farming
DOI
10.1016/j.watres.2023.120382
Catalogue ID
SNmp2b31tl-5qkf89

Topic tags

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