Competitive and synergistic effects in pH dependent phosphate adsorption in soils: LCD modeling

L.P. Weng, F.A. Vega, W.H. van Riemsdijk

Research output: Contribution to journalArticleAcademicpeer-review

71 Citations (Scopus)

Abstract

The pH dependency of soluble phosphate in soil was measured for six agricultural soils over a pH range of 3–10. A mechanistic model, the LCD (ligand charge distribution) model, was used to simulate this change, which considers phosphate adsorption to metal (hydr)oxides in soils under the influence of natural organic matter (NOM) and polyvalent cations (Ca2+, Al3+, and Fe3+). For all soils except one, the description in the normal pH range 5–8 is good. For some soils at more extreme pH values (for low P-loading soils at low pH and for high P-loading soils at high pH), the model over predicts soluble P. The calculation shows that adsorption is the major mechanism controlling phosphate solubility in soils, except at high pH in high P-loading soils where precipitation of calcium phosphate may take place. NOM and polyvalent cations have a very strong effect on the concentration level of P. The pattern of pH dependency of soluble P in soils differs greatly from the pH effects on phosphate adsorption to synthetic metal (hydr)oxides in a monocomponent system. According to the LCD model, the pH dependency in soil is mainly caused by the synergistic effects of Ca2+ adsorption to oxides. Adsorption of Al3+ to NOM adsorbed plays an important role only at a pH <4.5. Presence of NOM coating strongly competes with phosphate for the adsorption and is an important factor to consider in modeling phosphate adsorption in natural samples
Original languageEnglish
Pages (from-to)8420-8428
JournalEnvironmental Science and Technology
Volume45
Issue number19
DOIs
Publication statusPublished - 2011

Keywords

  • induced chemical-changes
  • humic substances
  • charge-distribution
  • solution interface
  • ion adsorption
  • goethite
  • surface
  • phosphorus
  • binding
  • parameters

Fingerprint Dive into the research topics of 'Competitive and synergistic effects in pH dependent phosphate adsorption in soils: LCD modeling'. Together they form a unique fingerprint.

Cite this