Using Bayesian Networks to Assess Effectiveness of Phosphorus Abatement Measures under the Water Framework Directive

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44555601%3A13510%2F19%3A43894797" target="_blank" >RIV/44555601:13510/19:43894797 - isvavai.cz</a>

Alternative codes found

RIV/00216208:11240/19:10396286

Result on the web

<a href="https://www.mdpi.com/2073-4441/11/9/1791" target="_blank" >https://www.mdpi.com/2073-4441/11/9/1791</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/w11091791" target="_blank" >10.3390/w11091791</a>

Result language

angličtina

Original language name

Using Bayesian Networks to Assess Effectiveness of Phosphorus Abatement Measures under the Water Framework Directive

Original language description

The EU Water Framework Directive requires all water bodies within the EU member states to achieve a &quot;good status&quot;. Many economic assessments assume the &quot;good status&quot; is achieved using selected measures and evaluate only associated costs and benefits. In this paper, Bayesian networks are used to test this assumption by evaluating whether the &quot;good status&quot; can be achieved with the selected abatement measures. Unlike in deterministic analysis, Bayesian networks allow effectiveness of measures of the same type to vary, which adds credibility to the analysis by increasing its robustness. The approach was tested on Stanovice reservoir in Czechia using a set of 244 previously designed measures. The results show the target will be met with a probability of 72.4% using the most cost-efficient measures. Based on the results, improvements to the measure selection process are suggested.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

50201 - Economic Theory

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2019

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Water

ISSN

2073-4441

e-ISSN

—

Volume of the periodical

11

Issue of the periodical within the volume

9

Country of publishing house

CH - SWITZERLAND

Number of pages

14

Pages from-to

1-14

UT code for WoS article

000488834400054

EID of the result in the Scopus database

2-s2.0-85072563803