Hydro-economic modelling of cost-effective transboundary water quality management in the Baltic Sea

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  • Hasler, Berit
  • J. C.R. Smart
  • F. Wulff
  • H. E. Andersen
  • H. Thodsen
  • G. Blicher Mathiesen
  • E. Smedberg
  • C. Göke
  • M. Czajkowski
  • A. Was
  • K. Elofsson
  • C. Humborg
  • A. Wolfsberg
  • F. Wulff

Helcom's recently revised Baltic Sea Action Plan (BSAP) aims to reduce eutrophication in the, Baltic Sea by reducing nutrient loads from all discharging drainage basins. The BALTCOST costminimisation, model, featuring abatement cost and effect functions which utilise spatial data down to, 10×10km2 grid cell resolution, is used to identify a cost-effective distribution of nutrient abatement, measures between drainage basins whilst attempting to achieve specified nutrient load reductions for, separate Baltic Sea regions. Results indicate that the 2013 BSAP load reduction targets for nitrogen and phosphorus can be achieved in most Baltic Sea regions, except for phosphorus into the Baltic Proper, and the Gulf of Finland. The estimated minimum total cost of delivering these reductions is 4.17 billion, Euros annually, with substantial differences in the cost burden between countries and measures.Results are strongly influenced by differences in nutrient retention between drainage basins. Detailed, retention modelling and high spatial resolution source data are major novel features of this research.

OriginalsprogEngelsk
TidsskriftWater Resources and Economics
Vol/bind5
Sider (fra-til)1-23
Antal sider23
ISSN2212-4284
DOI
StatusUdgivet - maj 2014
Eksternt udgivetJa

Bibliografisk note

Funding Information:
This paper is a contribution from the RECOCA project, which has received funding from the BONUS programme funded jointly by the European Community׳s Seventh framework Programme ( FP7/2007-2013 , Grant agreement 217246 ) and Baltic Sea National Funding Institutions. The paper is also a contribution from the Danish Strategic Research Foundation׳s research alliance IMAGE.

ID: 324692430