Using factor analysis and end member mixing techniques to infer sources of runoff generation during storm events

C Abesser, R Robinson, Christopher Soulsby

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

Abstract

Factor analysis and (two-component) end member mixing analysis (EMMA) were applied to high resolution stream chemistry data from three catchments to infer sources of iron- and manganese-rich runoff in the catchment area and to evaluate their temporal and spatial influence on the streamwater quality. Two Fe and Mn sources were identified: (a) an organic soilwater source, associated with Fe and Mn accumulation in the organic-rich upper soil horizons; and (b) a deep soilwater/groundwater source arising from reduced metal mobilization in the deeper soils. While: (a) provides the dominant Fe and Mn inputs during storm events; (b) becomes important just before peak flow when riparian groundwater is displaced into the stream, giving rise to high Fe and Mn concentrations. The timing of such high Fe and Mn loadings in the stream runoff has important implications for the water supply management of the catchment.
Original languageEnglish
Title of host publicationProceedings of the International Association of Hydrological Sciences
Subtitle of host publicationIAHS-AISH Publication
Pages21-29
Volume303
Edition2006
Publication statusPublished - 2006

Keywords

  • EMMA
  • Factor analysis
  • Hydrology
  • Iron
  • Manganese
  • Scotland, UK

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    Abesser, C., Robinson, R., & Soulsby, C. (2006). Using factor analysis and end member mixing techniques to infer sources of runoff generation during storm events. In Proceedings of the International Association of Hydrological Sciences: IAHS-AISH Publication (2006 ed., Vol. 303, pp. 21-29)