title: GIS-based quantification of future nutrient loads into Lake Peipsi/Chudskoe using qualitative regional development scenarios.
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.
authors.affiliation: Department of Physical Geography, Utrecht University, P.O. Box 80115, 3508 TC Utrecht, The Netherlands. d.mourad@geog.uu.nl
authors.forename: D S J
authors.initials: DS
authors.lastname: Mourad
authors.forename: M
authors.initials: M
authors.lastname: Van der Perk
authors.forename: G D
authors.initials: GD
authors.lastname: Gooch
authors.forename: E
authors.initials: E
authors.lastname: Loigu
authors.forename: K
authors.initials: K
authors.lastname: Piirimäe
authors.forename: P
authors.initials: P
authors.lastname: Stålnacke
mesh_terms: D004957:Estonia; D005544:Forecasting; D005618:Fresh Water / Q000737:chemistry; D040362:Geographic Information Systems; D007844:Latvia; D008962:Models, Theoretical; D009584:Nitrogen / Q000032:analysis*; D010758:Phosphorus / Q000032:analysis*; D012426:Russia; D014872:Water Movements; D014874:Water Pollutants, Chemical / Q000032:analysis*
chemical_list: D014874:Water Pollutants, Chemical; D010758:Phosphorus; D009584:Nitrogen