On modelling the effects of re-afforestation on acidification in a heterogenous catchment at different spatial and temporal scales

A. Wade, C. Neal, Christopher Soulsby, R. Smart, S. J. Langan

Research output: Contribution to journalArticle

31 Citations (Scopus)

Abstract

A modelling approach is presented for simulating and predicting future changes in streamwater Gran alkalinity throughout a large, heterogeneous river system. The methodology is based on integrating End Member Mixing Analysis (EMMA), the Model of Acidification of Groundwater in Catchments (MAGIC) and spatial data describing the catchment characteristics stored on a Geographical Information System (GIS). These are integrated within a Functional Unit Network (FUN) to predict the changes in Gran alkalinity resulting from possible future changes in atmospheric deposition and land use (low intensity afforestation) in the River Dee catchment, NE Scotland. Model results indicate that declining sulphate and constant nitrogen deposition, combined with low intensity Scots pine (Pines sylvestris) afforestation are unlikely to contribute significantly to streamwater acidification. (C) 2001 Elsevier Science B.V. All rights reserved.

Original languageEnglish
Pages (from-to)149-169
Number of pages20
JournalJournal of Hydrology
Volume250
Issue number1-4
DOIs
Publication statusPublished - 2001

Keywords

  • basin management
  • water quality
  • models
  • heterogeneity
  • acidification
  • forestry
  • Scots pine (Pines sylvestris)
  • grampian region Scotland
  • WATER-QUALITY
  • STREAM CHEMISTRY
  • ACID DEPOSITION
  • NORTHEAST SCOTLAND
  • SCOTTISH CATCHMENT
  • MODELING APPROACH
  • SURFACE WATERS
  • MAGIC MODEL
  • LAND-USE
  • NITROGEN

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