dc.rights.license | Kūrybinių bendrijų licencija / Creative Commons licence | en_US |
dc.contributor.author | Sorochuk, Natalia | |
dc.contributor.author | Uhnenko, Evhenia | |
dc.contributor.author | Gubareva, Olga | |
dc.date.accessioned | 2025-07-28T13:12:24Z | |
dc.date.available | 2025-07-28T13:12:24Z | |
dc.date.issued | 2016 | |
dc.identifier.issn | 1877-7058 | en_US |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/158647 | |
dc.description.abstract | The main prediction models of surface waters state in highways reconstruction are given. Balance, one-component and two-component water quality models used in long-term forecasting in the reconstruction of highways are considered in detail. Two and three dimensional equations of turbulent diffusion as well as the longitudinal dispersion equation with specifying boundary conditions are presented. | en_US |
dc.format.extent | 7 p. | en_US |
dc.format.medium | Tekstas / Text | en_US |
dc.language.iso | en_US | en_US |
dc.relation.uri | https://etalpykla.vilniustech.lt/handle/123456789/158603 | en_US |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.source.uri | https://www.sciencedirect.com/science/article/pii/S1877705816000539 | en_US |
dc.subject | surface runoff from highways | en_US |
dc.subject | water body | en_US |
dc.subject | water quality model | en_US |
dc.subject | long-term forecasting | en_US |
dc.subject | turbulent diffusion | en_US |
dc.subject | equation of longitudinal dispersion | en_US |
dc.title | Models of long term forecasting of surface waters state in reconstruction of highway | en_US |
dc.type | Konferencijos publikacija / Conference paper | en_US |
dcterms.accessRights | Laisvai prieinamas / Openly available | en_US |
dcterms.accrualMethod | Rankinis pateikimas / Manual submission | en_US |
dcterms.license | CC BY NC ND | en_US |
dcterms.references | 7 | en_US |
dc.description.version | Taip / Yes | en_US |
dc.contributor.institution | Kharkiv National Automobile and Highway University | en_US |
dcterms.sourcetitle | Procedia Engineering | en_US |
dc.description.volume | vol. 134 | en_US |
dc.publisher.name | Elsevier | en_US |
dc.publisher.country | United Kingdom | en_US |
dc.publisher.city | Oxford | en_US |
dc.identifier.doi | https://doi.org/10.1016/j.proeng.2016.050 | en_US |