dc.contributor.author |
Tsakiris, G |
en |
dc.contributor.author |
Agrafiotis, G |
en |
dc.date.accessioned |
2014-03-01T01:39:23Z |
|
dc.date.available |
2014-03-01T01:39:23Z |
|
dc.date.issued |
1988 |
en |
dc.identifier.issn |
09204741 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/22748 |
|
dc.subject |
Poisson process |
en |
dc.subject |
rainfall-runoff |
en |
dc.subject |
Runoff |
en |
dc.subject |
small watershed |
en |
dc.subject |
stochastic approach |
en |
dc.subject |
storm events |
en |
dc.title |
Aggregated runoff from small watersheds based on stochastic representation of storm events |
en |
heal.type |
journalArticle |
en |
heal.identifier.primary |
10.1007/BF00577061 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1007/BF00577061 |
en |
heal.publicationDate |
1988 |
en |
heal.abstract |
This paper is concerned with the estimation of aggregated direct runoff from small watersheds during a time interval (0, t), homogeneous with respect to rainfall characteristics. The storm events are simulated by a Poisson process, whereas direct runoff is estimated by the SCS method or a linear regression model. The probability of the occurrence of direct runoff is incorporated in the proposed method by examining the possibility of each storm exceeding the watershed losses index. A closed form solution is derived for the expected total direct runoff in the interval (0, t). Finally, the proposed method is applied to a particular set of conditions. © 1988 Kluwer Academic Publishers. |
en |
heal.publisher |
Kluwer Academic Publishers |
en |
heal.journalName |
Water Resources Management |
en |
dc.identifier.doi |
10.1007/BF00577061 |
en |
dc.identifier.volume |
2 |
en |
dc.identifier.issue |
2 |
en |
dc.identifier.spage |
77 |
en |
dc.identifier.epage |
86 |
en |