Determination of nitrogen sources and losses in surface runoff from different lands at a watershed scale

Environ Sci Pollut Res Int. 2023 May;30(22):63052-63064. doi: 10.1007/s11356-023-26459-7. Epub 2023 Mar 23.

Abstract

Nitrogen (N) loss by surface runoff inevitably results in severe N pollution and eutrophication of aquatic ecosystems. In this study, surface runoff from different land uses in the East Tiaoxi River watershed was collected, and the N concentrations, sources and losses were measured using the dual isotope (δ15N-NO3- and δ18O-NO3-), a Bayesian isotopic mixing (SIAR) model and Soil Conservation Service Curve Number (SCS-CN) method. The results showed that the N concentrations in surface runoff from agricultural lands were higher than those from urban areas and forestlands, and nitrate (NO3-), particulate nitrogen (PN) and dissolved organic nitrogen (DON) were the major forms of N in surface runoff in the East Tiaoxi River watershed. The total loss rate of total nitrogen (TN) from surface runoff in the East Tiaoxi River watershed was 5.38 kg·ha-1·a-1, with NO3--N (46%) contributing the most to TN loss. The TN, and NO3--N loss rates in surface runoff from tea planting lands (21.08 kg·ha-1·a-1, 11.98 kg·ha-1·a-1) and croplands (16.93 kg·ha-1·a-1, 10.96 kg·ha-1·a-1) were high, those from vegetable lands and urban areas were medium, and those from economic and natural forestlands were low in the East Tiaoxi River watershed. The NO3--N contributions of chemical fertiliser (CF), soil N (SN), sewage/manure (SM), and atmospheric deposition (AD) in surface runoff in the East Tiaoxi River watershed were 124.32 × 103, 104.84 × 103, 82.25 × 103 and 58.69 × 103 kg·a-1, respectively. The N pollutant losses in surface runoff from agricultural lands (croplands with rice growing, vegetable lands and tea planting lands) were responsible for most of the N pollutants being transported into the East Tiaoxi River systems.

Keywords: Isotopes; Nitrogen losses; Nitrogen sources; SCS-CN method; SIAR model; Surface runoff.

MeSH terms

  • Bayes Theorem
  • China
  • Ecosystem
  • Environmental Monitoring / methods
  • Environmental Pollutants*
  • Nitrates / analysis
  • Nitrogen / analysis
  • Nitrogen Isotopes / analysis
  • Rivers
  • Soil
  • Tea
  • Water Pollutants, Chemical* / analysis

Substances

  • Nitrogen
  • Water Pollutants, Chemical
  • Soil
  • Environmental Pollutants
  • Tea
  • Nitrates
  • Nitrogen Isotopes