| dc.contributor.author |
Kampas, A |
en |
| dc.contributor.author |
Adamidis, K |
en |
| dc.date.accessioned |
2014-06-06T06:46:29Z |
|
| dc.date.available |
2014-06-06T06:46:29Z |
|
| dc.date.issued |
2005 |
en |
| dc.identifier.issn |
03014797 |
en |
| dc.identifier.uri |
http://dx.doi.org/10.1016/j.jenvman.2004.05.012 |
en |
| dc.identifier.uri |
http://62.217.125.90/xmlui/handle/123456789/3034 |
|
| dc.subject |
Log-normal data |
en |
| dc.subject |
Probabilistic programming |
en |
| dc.subject |
Stochastic water pollution |
en |
| dc.subject.other |
stochasticity |
en |
| dc.subject.other |
water pollution |
en |
| dc.subject.other |
water quality |
en |
| dc.subject.other |
article |
en |
| dc.subject.other |
coastal waters |
en |
| dc.subject.other |
cost effectiveness analysis |
en |
| dc.subject.other |
environmental economics |
en |
| dc.subject.other |
information processing |
en |
| dc.subject.other |
policy |
en |
| dc.subject.other |
pollution transport |
en |
| dc.subject.other |
probability |
en |
| dc.subject.other |
statistics |
en |
| dc.subject.other |
stochastic model |
en |
| dc.subject.other |
water pollution |
en |
| dc.subject.other |
water treatment |
en |
| dc.subject.other |
Data Interpretation, Statistical |
en |
| dc.subject.other |
Environment |
en |
| dc.subject.other |
Models, Statistical |
en |
| dc.subject.other |
Nitrogen |
en |
| dc.subject.other |
Stochastic Processes |
en |
| dc.subject.other |
Water Movements |
en |
| dc.subject.other |
Water Pollutants, Chemical |
en |
| dc.title |
Discussion of the paper ""Cost effective policies for alternative distributions of stochastic water pollution"" by Gren, Destouni and Tempone |
en |
| heal.type |
journalArticle |
en |
| heal.identifier.primary |
10.1016/j.jenvman.2004.05.012 |
en |
| heal.publicationDate |
2005 |
en |
| heal.abstract |
This discussion addresses some aspects of a recent paper appearing in this journal which investigates cost effective coastal water management based on different assumptions of the probability distributions (normal and log-normal) of pollutant transport. We also suggest an alternative approach to overcome the technical problems of using the theoretical correct distribution for characterising environmental data (log-normal) within a probabilistic programming framework. © 2004 Published by Elsevier Ltd. |
en |
| heal.journalName |
Journal of Environmental Management |
en |
| dc.identifier.issue |
4 |
en |
| dc.identifier.volume |
74 |
en |
| dc.identifier.doi |
10.1016/j.jenvman.2004.05.012 |
en |
| dc.identifier.spage |
383 |
en |
| dc.identifier.epage |
388 |
en |