caa a22 4500 47581956X CHVBK 20180406123819.0 cr unu---uuuuu 170329e20001201xx s 000 0 eng 10.1023/A:1011588129892 doi (NATIONALLICENCE)springer-10.1023/A:1011588129892 Cost effective management of stochastic coastal water pollution [Elektronische Daten] [Ing-Marie Gren, Georgia Destouni, Henrik Scharin] This study develops a theoretical tool for investigating the impact on cost effective coastal water management from explicit treatment of: coastal pollutant transports, stochastic pollutant transports in the catchment areas, and wetlands as a pollutant abatement option. It is applied to a relatively well investigated estuary, Himmerfjärden, south of the Swedish capital, Stockholm. The theoretical results indicate that all three factors influence cost effective allocation of measures and associated design of economic instruments. The consideration of stochastic pollutant transports will increase costs, but the direction of influence of the other two factors cannot be determined without empirical support. The application to nitrogen transport in Himmerfjärden shows that, for target nitrogen reductions given in terms of a percentage of pre-abatement loads, the inclusion of coastal transports in the cost calculations lowers the estimated total costs for targets interpreted in terms of nitrogen loads to the marine water. The alternative investigated target interpretation was in terms of nitrogen loads to coastal waters. Depending on the ability of wetlands to abate nitrogen and to change the variance in pollutant load to the coastal recipients, costs are either increased or decreased as compared to when wetlands are excluded as nitrogen abatement options. Kluwer Academic Publishers, 2000 coastal water pollution nationallicence stochastic pollutant transports nationallicence wetlands nationallicence cost effectiveness nationallicence economic instruments nationallicence Gren Ing-Marie Department of Economics, Swedish University of Agricultural Sciences (SLU), Box 7013, 75005, Uppsala, Sweden aut Destouni Georgia Department of Civil and Environmental Engineering, Water Research Engineering, Royal Institute of Technology, 100 44, Stockholm, Sweden aut Scharin Henrik Beijer International Institute of Ecological Economics, Box 50005, 10405, Stockholm, Sweden aut Environmental Modeling & Assessment Kluwer Academic Publishers 5/4(2000-12-01), 193-203 1420-2026 5:4<193 2000 5 10666 https://doi.org/10.1023/A:1011588129892 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1023/A:1011588129892 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Gren Ing-Marie Department of Economics, Swedish University of Agricultural Sciences (SLU), Box 7013, 75005, Uppsala, Sweden aut NATIONALLICENCE 700 1- Destouni Georgia Department of Civil and Environmental Engineering, Water Research Engineering, Royal Institute of Technology, 100 44, Stockholm, Sweden aut NATIONALLICENCE 700 1- Scharin Henrik Beijer International Institute of Ecological Economics, Box 50005, 10405, Stockholm, Sweden aut NATIONALLICENCE 773 0- Environmental Modeling & Assessment Kluwer Academic Publishers 5/4(2000-12-01), 193-203 1420-2026 5:4<193 2000 5 10666 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer