Using Bayesian Networks to Assess Effectiveness of Phosphorus Abatement Measures under the Water Framework Directive
Identifikátory výsledku
Kód výsledku v 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>
Nalezeny alternativní kódy
RIV/00216208:11240/19:10396286
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Using Bayesian Networks to Assess Effectiveness of Phosphorus Abatement Measures under the Water Framework Directive
Popis výsledku v původním jazyce
The EU Water Framework Directive requires all water bodies within the EU member states to achieve a "good status". Many economic assessments assume the "good status" 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 "good status" 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.
Název v anglickém jazyce
Using Bayesian Networks to Assess Effectiveness of Phosphorus Abatement Measures under the Water Framework Directive
Popis výsledku anglicky
The EU Water Framework Directive requires all water bodies within the EU member states to achieve a "good status". Many economic assessments assume the "good status" 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 "good status" 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.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
50201 - Economic Theory
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2019
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Water
ISSN
2073-4441
e-ISSN
—
Svazek periodika
11
Číslo periodika v rámci svazku
9
Stát vydavatele periodika
CH - Švýcarská konfederace
Počet stran výsledku
14
Strana od-do
1-14
Kód UT WoS článku
000488834400054
EID výsledku v databázi Scopus
2-s2.0-85072563803