Dynamic decision of transboundary basin pollution under emission permits and pollution abatement

2019 ◽  
Vol 532 ◽  
pp. 121869 ◽  
Author(s):  
Huiquan Li ◽  
Genlong Guo
Keyword(s):  
Pollution Abatement ◽  
Emission Permits ◽  
Transboundary Basin

scholarly journals Emission Permits and Public Pollution Abatement: Can Decentralized Environmental Policies Be Efficient?

2015 ◽  
Author(s):  
Nikos Tsakiris ◽  
Panagiotis (Panos) Hatzipanayotou (Xatzipanagiotou) ◽  
Michael S. Michael
Keyword(s):  
Pollution Abatement ◽  
Environmental Policies ◽  
Emission Permits

SDG Indicator 6.5.2 Reporting template and explanatory notes

2017 ◽  
Author(s):  
Chloé Meyer
Keyword(s):  
Surface Water ◽  
Indicator Group ◽  
Water Cooperation ◽  
Transboundary Basin ◽  
Basin Area

This is the reporting template for indicator 6.5.2 defined as the proportion of transboundary basin area with an operational arrangement for water cooperation. This template is only accessible by members of the SDG 6.5.2 indicator Group. For any information, please contact [email protected] . Governance Groundwater Surface water Transboundary

Using Bayesian network models to incorporate uncertainty in the economic analysis of pollution abatement measures under the water framework directive

2005 ◽  
Vol 5 (6) ◽  
pp. 95-104 ◽  
Author(s):  
D.N. Barton ◽  
T. Saloranta ◽  
T.H. Bakken ◽  
A. Lyche Solheim ◽  
J. Moe ◽  
...  
Keyword(s):  
Water Quality ◽  
At Risk ◽  
Economic Valuation ◽  
Pollution Abatement ◽  
Network Models ◽  
Cost Effective ◽  
Bayesian Belief Networks ◽  
Probabilistic Interpretation ◽  
Belief Networks ◽  
Benefit Cost Analysis

The evaluation of water bodies “at risk” of not achieving the Water Framework Directive's (WFD) goal of “good status” begs the question of how big a risk is acceptable before a programme of measures should be implemented. Documentation of expert judgement and statistical uncertainty in pollution budgets and water quality modelling, combined with Monte Carlo simulation and Bayesian belief networks, make it possible to give a probabilistic interpretation of “at risk”. Combined with information on abatement costs, a cost-effective ranking of measures based on expected costs and effect can be undertaken. Combined with economic valuation of water quality, the definition of “disproportionate cost” of abatement measures compared to benefits of achieving “good status” can also be given a probabilistic interpretation. Explicit modelling of uncertainty helps visualize where research and consulting efforts are most critical for reducing uncertainty. Based on data from the Morsa catchment in South-Eastern Norway, this paper discusses the relative merits of using Bayesian belief networks when integrating biophysical modelling results in the benefit-cost analysis of derogations and cost-effectiveness ranking of abatement measures under the WFD.

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