Repository logo
 
Publication

Predictive scenarios for surface water quality simulation: a watershed case study

2018Journal article Restricted access
Simple item page
dc.contributor.authorAntunes, I.M.H.R.
dc.contributor.authorAlbuquerque, M.T.D.
dc.contributor.authorOliveira, Sandrina Fidalgo
dc.contributor.authorSanz-Lobón, Germán
dc.date.accessioned2020-03-27T17:09:42Z
dc.date.available2020-03-27T17:09:42Z
dc.date.issued2018
dc.description.abstractSurface water is exposed to contaminants which change the natural hydrological parameters and consequent contaminant dispersion. Water self-depuration is an ecological process aiming to restore the natural watercourse balance, which depends on the quality and quantity of topical and diffuse contributions. The main goal of this research is the evaluation of surface water quality in the Águeda River (Portugal-Spain transboundary watershed) and its self-depuration ability considering different predicted scenarios. Biochemical oxygen demand (BOD5), dissolved oxygen (DO), dry residue, Ptotal, Ntotal, pH, temperature and microbiological parameters were analyzed, in thirty-six surface water samples. Simulation of different quality scenarios was undertaken using Qual2Kw software and the river's self-depuration ability discussed. The obtained model's calibration achieved a score of 95% confidence interval, for almost analyzed parameters. The calibrated model was used for two prediction scenario construction. The first one, intending to assess the influence of topical contaminated discharge and the second one, aiming to evaluate the influence of minimum flow rates, representing an extremely dry year. The two considered scenarios revealed that self-depuration capacity is more affected by the presence of minimum flow rates than topical discharges, attesting a large potential for self-depuration along the Águeda River.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationANTUNES, I.M.H.R. [et al.] (2018) - Predictive scenarios for surface water quality simulation: a watershed case study. Catena. ISSN: 0341-8162. Vol. 170, p. 283-289. https://doi.org/10.1016/j.catena.2018.06.021pt_PT
dc.identifier.doi10.1016/j.catena.2018.06.021pt_PT
dc.identifier.issn0341-8162
dc.identifier.urihttp://hdl.handle.net/10400.11/7023
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relation.publisherversionhttp://www.sciencedirect.com/science/article/pii/S0341816218302534pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectÁgueda riverpt_PT
dc.subjectBasinpt_PT
dc.subjectFresh waterpt_PT
dc.subjectPortugal-Spainpt_PT
dc.subjectQual2Kwpt_PT
dc.subjectSelf-depurationpt_PT
dc.titlePredictive scenarios for surface water quality simulation: a watershed case studypt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FGEO%2F04683%2F2013/PT
oaire.citation.endPage289pt_PT
oaire.citation.startPage283pt_PT
oaire.citation.titleCATENApt_PT
oaire.citation.volume170pt_PT
oaire.fundingStream5876
person.familyNameantunes
person.familyNameAlbuquerque
person.givenNameIsabel Margarida
person.givenNameMaria Teresa
person.identifier.ciencia-idCB1E-FAD2-37D6
person.identifier.ciencia-id5A1C-8956-4C0A
person.identifier.orcid0000-0003-3456-5926
person.identifier.orcid0000-0002-8782-6133
person.identifier.ridM-1043-2013
person.identifier.ridB-1536-2013
person.identifier.scopus-author-id6701817085
person.identifier.scopus-author-id55507421600
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsrestrictedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication1db83c95-f80c-41bb-b5c6-437ab32d9683
relation.isAuthorOfPublicatione2c2d171-e148-4c23-9cf8-0eb6d810c15e
relation.isAuthorOfPublication.latestForDiscovery1db83c95-f80c-41bb-b5c6-437ab32d9683
relation.isProjectOfPublicationfc2e6392-5d78-4264-a8f9-bdd51f2625c4
relation.isProjectOfPublication.latestForDiscoveryfc2e6392-5d78-4264-a8f9-bdd51f2625c4

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
CATENA.pdf
Size:
1.86 MB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
2.02 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

ESTCB - Artigos em revistas com arbitragem científica