GIS-based quantification of future nutrient loads into Lake Peipsi/Chudskoe using qualitative regional development scenarios

D.S.J. Mourad, M. Van der Perk, G.D. Gooch, E. Loigu, K. Piirimäe, P. Stålnacke

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

This study aims at the quantification of possible future nutrient loads into Lake Peipsi/Chudskoe under different economic development scenarios. This drainage basin is on the borders of Russia, Estonia and Latvia. The sudden disintegration of the Soviet Union in 1991 caused a collapse of agricultural economy, and consequently, a substantial decrease of diffuse and point-source nutrient emissions. For the future, uncertainties about economic development and the priorities that will be set for this region make it difficult to assess the consequences for river water quality and nutrient loads into the lake. We applied five integrated scenarios of future development of this transboundary region for the next twelve to fifteen years. Each scenario consists of a qualitative story line, which was translated into quantitative changes in the input variables for a geographical information system based nutrient transport model. This model calculates nutrient emissions, as well as transport and retention and the resulting nutrient loads into the lake. The model results show that the effects of the different development scenarios on nutrient loads are relatively limited over a time span of about 15 years. In general, a further reduction of nutrient loads is expected, except for a fast economic development scenario. © IWA Publishing 2005.
Original languageEnglish
Pages (from-to)355-363
Number of pages9
JournalWater Science and Technology
Volume51
Issue number3/4
Publication statusPublished - 12 Dec 2005

Keywords

  • GIS
  • Lake Peipsi/Chudskoe
  • Modelling
  • Nutrients
  • Regional development
  • Scenarios
  • lake water
  • nitrogen
  • phosphorus
  • agriculture
  • article
  • catchment
  • economic aspect
  • economic development
  • Estonia
  • geographic information system
  • lake
  • Latvia
  • model
  • nutrient
  • quantitative analysis
  • Russian Federation
  • water pollution control
  • water supply

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