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dc.contributor.authorDlouhá, Dagmar
dc.contributor.authorPospíšil, Lukáš
dc.contributor.authorDubovský, Viktor
dc.date.accessioned2024-03-18T12:24:27Z
dc.date.available2024-03-18T12:24:27Z
dc.date.issued2023
dc.identifier.citationProduction Engineering Archives. 2023, vol. 29, issue 3, p. 319-327.cs
dc.identifier.issn2353-5156
dc.identifier.issn2353-7779
dc.identifier.urihttp://hdl.handle.net/10084/152368
dc.description.abstractThis paper presents a novel method for measuring the data for evaporation estimation as the key in gredient for the final decision of the reclamation form in the area of the Most Basin. The area has been intensively mined for many decades, resulting in significant landscape devastation, loss of natural habitats, and negative environmental impact. Currently, it is assumed that by 2050, three large-scale reclamation projects will be implemented in the area and it is necessary to decide which form of rec lamation to choose. Whether to build lakes according to the currently valid rehabilitation and recla mation plan or to leave the area of the quarries in succession with the support of spontaneous inflow of water up to a naturally sustainable water level. Whether the first or second option is approved, or a combination of both, the prediction of evaporation from the free water surface will always be of great importance. To deal with this goal, the available meteorological data must be combined with a suitable calculation method. In our work, we suggest utilizing a measuring network of meteorologi cal devices that describe the character of the weather in a given area of interest in a long-term time series. Together with the state-of-the-art calibration of models for calculating evaporation, the meas urement network helps to provide more accurate evaporation data for a given area. Based on the anal ysis of research results, it will be possible to choose a specific right decision and thus contribute to the long-term sustainability of these reclamations.cs
dc.language.isoencs
dc.publisherDe Gruytercs
dc.relation.ispartofseriesProduction Engineering Archivescs
dc.relation.urihttps://doi.org/10.30657/pea.2023.29.38cs
dc.rights© 2023 Dagmar Dlouhá et al., published by Sciendocs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectevaporationcs
dc.subjecthydric recultivationcs
dc.subjectcalibrationcs
dc.subjectmeasuring networkcs
dc.subjectregressioncs
dc.titleThe simple network-based measuring system for improving the evaporation estimationcs
dc.typearticlecs
dc.identifier.doi10.30657/pea.2023.29.38
dc.rights.accessopenAccesscs
dc.type.versionpublishedVersioncs
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume29cs
dc.description.issue3cs
dc.description.lastpage327cs
dc.description.firstpage319cs
dc.identifier.wos001062785100011


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© 2023 Dagmar Dlouhá et al., published by Sciendo
Except where otherwise noted, this item's license is described as © 2023 Dagmar Dlouhá et al., published by Sciendo